7
Coupled Systems

When systems of similar physics are connected, the situation is relatively simple. The degrees of freedom of the coupling zone are shared, and the state variables, for example pressure and displacement, are equal. The situation changes for coupled deterministic systems of different wave types and physics. Here, conditions must be defined that link, for example, the pressure of one subsystem to the displacements of the other subsystem. The zone where the coupling dynamics takes place is called a junction.

However, simulating sound and vibration propagation in realistic systems means coupling systems of different types of wave propagation and different topology. This can be, for example, a fluid cavity that is connected to several plates surrounding it or a beam that is connected to other beams or plates. Hence, simulating the coupling dynamics can become a complicated task even for pure deterministic subsystems. However, the dynamics can be finally described by a large set of equations of motion with different degrees of freedom.

When random subsystems are connected, the description becomes more complicated. How can the coupling physics between random subsystems be described? If the state of random systems is given by energy, the power flow between the systems must be determined, given by the so-called coupling loss factor.

As shown in section 6.1, the boundary load of random systems is defined by a cross spectral density function that acts on the junction. In the junction itself, the dynamics is deterministic in the sense that the physics of the wave transmission through the connection is described in detail by deterministic equations of wave transmission. Thus, a junction between random systems must also be deterministic in order to catch the physics of wave transmission correctly.

A practical example for this can be two acoustic spaces or rooms connected by a thin wall or a window. In order to derive the energy exchange between the two spaces we must know precisely the wave behavior of this wall. In classical SEA literature, these phenomena are explained by wave transmission processes.

Here, we will apply the hybrid theory from Shorter and Langley (2005) and derive the link to the classical approaches. The advantage of Shorter’s hybrid approach is that it allows for systematic and logical derivation of SEA theory and coupling loss factors.

Hereinafter, deterministic and random systems are called FEM-systems and SEA-systems, respectively. The acronym FEM is selected because deterministic systems are usually modelled by finite element methods. In this chapter, we will deal with the connection of all these different systems.

7.1Deterministic Subsystems and their Degrees of Freedom

In previous sections, we used continuous coordinates for the description of continuous systems. They are necessary, because quantities such as wave number, speed of sound etc. are derived based on continuous equations. In practical vibroacoustics, deterministic systems are rarely described by continuous coordinates but discrete coordinates. Nearly every geometry, set-up, and material configuration can be approximated by a discrete mesh. There exist a variety of tools and methods to simulate the dynamics of discrete systems. The maturity of commercial FEM software allows for the simulation of large and complex structures with several millions of degrees of freedom. In addition, other disciplines in the design process of vibroacoustic systems such as crash performance, statics, or dynamics also require finite element (FE) models. Hence, FE-models are usually automatically available early in the design process.

Therefore, it is reasonable to rely on FE-models for the deterministic part. We use the generalized degrees of freedom for the displacement denoted by q and introduced in section 5.1. However, when dealing with the coupling physics, different choices of degrees of freedom can be useful for each specific problem. So, we will use the most appropriate description for all following dynamics of coupled systems. For example, for infinite systems the wave number is the best degree of freedom to describe the problem.

7.2 Coupling Deterministic Systems

When deterministic systems of similar natures are coupled, the joint degrees of freedom of both subsystems are the same. For example, a mechanical subsystem (1) as shown in Figure 7.1 can be described by the dynamic stiffness matrix [D]. The displacement vector can be sorted in such a way by gathering the surface degrees of freedom qs that can potentially be shared with other subsystems, junction degrees of freedom qj12 that are actually shared, and inner degrees of freedom qi that cannot connect to other systems because they are internal

Start 3 By 3 Matrix 1st Row 1st Column bold-italic upper D Subscript i i Baseline 2nd Column bold-italic upper D Subscript i s Baseline 3rd Column bold-italic upper D Subscript i j Baseline 12 Baseline 2nd Row 1st Column bold-italic upper D Subscript s i Baseline 2nd Column bold-italic upper D Subscript s s Baseline 3rd Column bold-italic upper D Subscript s j Baseline 12 Baseline 3rd Row 1st Column bold-italic upper D Subscript j Baseline 12 i Baseline 2nd Column bold-italic upper D Subscript j Baseline 12 s Baseline 3rd Column bold-italic upper D Subscript j Baseline 12 j Baseline EndMatrix Start 3 By 1 Matrix 1st Row bold-italic q Subscript i Baseline 2nd Row bold-italic q Subscript s Baseline 3rd Row bold-italic q Subscript j Baseline 12 Baseline EndMatrix equals Start 3 By 1 Matrix 1st Row bold-italic upper F Subscript i Baseline equals 0 2nd Row bold-italic upper F Subscript s Baseline 3rd Row bold-italic upper F Subscript j Baseline 12 Baseline equals 0 EndMatrix  (7.1)

Figure 7.1 Internal, surface, and joint nodes of deterministic FEM systems. Source: Alexander Peiffer.

The expression external is motivated by the fact that these are the degrees of freedom that can be potentially excited by external forces. When creating a simulation strategy for a vibroacoustic system, it is helpful to consider the potential subsystem configuration from the very beginning and to identify which degrees of freedom are inner, external, or junction degrees of freedom. When doing so we always have the deterministic equations in the appropriate form.

When dealing with such system matrices it may be useful to get rid of the internal degrees of freedom and focus on the external or junction degrees of freedom. For outlining this procedure, junction and external degrees of freedom are denoted as outer degrees of freedom by a common subscript os+j. The inner degrees of freedom can be removed from the equations of motion. We start from the following simplified block matrix system:

Start 2 By 2 Matrix 1st Row 1st Column bold-italic upper D Subscript i i Baseline 2nd Column bold-italic upper D Subscript i o Baseline 2nd Row 1st Column bold-italic upper D Subscript o i Baseline 2nd Column bold-italic upper D Subscript o o Baseline EndMatrix StartBinomialOrMatrix bold-italic q Subscript i Baseline Choose bold-italic q Subscript o Baseline EndBinomialOrMatrix equals StartBinomialOrMatrix bold-italic upper F Subscript i Baseline equals 0 Choose bold-italic upper F Subscript o EndBinomialOrMatrix  (7.2)

Due to the fact that no external forces Fi=0 are applied to the inner degrees of freedom, the upper block matrix of Equation (7.2) can be inverted

Start 1 By 1 Matrix 1st Row bold-italic q Subscript i Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row minus bold-italic upper D Subscript i i Superscript negative 1 Baseline bold-italic upper D Subscript i o Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic q Subscript o EndMatrix  (7.3)

Entering this in the lower part gives the stiffness matrix exclusively for the outer degrees of freedom.

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript o o Baseline minus bold-italic upper D Subscript o i Baseline bold-italic upper D Subscript i i Superscript negative 1 Baseline bold-italic upper D Subscript i o Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic q Subscript o Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript o Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic q Subscript o Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper F Subscript o EndMatrix  (7.4)

This process is called condensation. It is of general importance to clearly define and handle the required degrees of freedom when dealing with vibroacoustic problems. The inner and outer degrees of freedom shall always be clearly differentiated.

A convention is required to sort these multiple definitions of degrees of freedom. According to the convention in the sections before, we use a subsystem superscript (m) for the m-th subsystem. The surface and inner degrees of freedom of subsystem m are denoted by qs(m) and qi(m), respectively. For the junction degrees of freedom, we use the subscript j in combination with the connected subsystems, for example qj12 for junction degrees of freedom connecting subsystems 1 and 2 or qj123 connecting subsystems 1, 2, and 3.

Now, let us assume that we have two subsystems as shown in Figure 7.1 on the right hand side. With these conventions, the stiffness matrix of the full deterministic system can be arranged in such a way that we have block matrices in the total matrix.

Using the reduced matrix from Equation (7.4) in order to get rid of the inner degree of freedoms we can write for subsystem 1 and 2:

StartLayout 1st Row 1st Column Start 2 By 2 Matrix 1st Row 1st Column bold-italic upper D Subscript s s Superscript left-parenthesis 1 right-parenthesis 2nd Column bold-italic upper D Subscript s j Baseline 12 Superscript left-parenthesis 1 right-parenthesis 2nd Row 1st Column bold-italic upper D Subscript j Baseline 12 s Superscript left-parenthesis 1 right-parenthesis 2nd Column bold-italic upper D Subscript j Baseline 1212 Superscript left-parenthesis 1 right-parenthesis EndMatrix StartBinomialOrMatrix bold-italic q Subscript s Superscript left-parenthesis 1 right-parenthesis Choose bold-italic q Subscript j Baseline 12 Superscript left-parenthesis 1 right-parenthesis EndBinomialOrMatrix 2nd Column equals StartBinomialOrMatrix bold-italic upper F Subscript s Superscript left-parenthesis 1 right-parenthesis Baseline Choose bold-italic upper F Subscript j Baseline 12 Superscript left-parenthesis 1 right-parenthesis EndBinomialOrMatrix EndLayout  (7.5)
StartLayout 1st Row 1st Column Start 2 By 2 Matrix 1st Row 1st Column bold-italic upper D Subscript s s Superscript left-parenthesis 2 right-parenthesis 2nd Column bold-italic upper D Subscript s j Baseline 12 Superscript left-parenthesis 2 right-parenthesis 2nd Row 1st Column bold-italic upper D Subscript j Baseline 12 s Superscript left-parenthesis 2 right-parenthesis 2nd Column bold-italic upper D Subscript j Baseline 1212 Superscript left-parenthesis 2 right-parenthesis EndMatrix StartBinomialOrMatrix bold-italic q Subscript s Superscript left-parenthesis 2 right-parenthesis Choose bold-italic q Subscript j Baseline 12 Superscript left-parenthesis 2 right-parenthesis EndBinomialOrMatrix 2nd Column equals StartBinomialOrMatrix bold-italic upper F Subscript s Superscript left-parenthesis 2 right-parenthesis Baseline Choose bold-italic upper F Subscript j Baseline 12 Superscript left-parenthesis 2 right-parenthesis EndBinomialOrMatrix EndLayout  (7.6)

Supposing the joint degrees of freedom are equal uj12(1)=uj12(2)=uj12, the above matrices would look in the total system as follows:

StartLayout 1st Row 1st Column Start 3 By 3 Matrix 1st Row 1st Column bold-italic upper D Subscript s s Superscript left-parenthesis 1 right-parenthesis 2nd Column 0 3rd Column bold-italic upper D Subscript s j Baseline 12 Superscript left-parenthesis 1 right-parenthesis 2nd Row 1st Column 0 2nd Column 0 3rd Column 0 3rd Row 1st Column bold-italic upper D Subscript j Baseline 12 s Superscript left-parenthesis 1 right-parenthesis 2nd Column 0 3rd Column bold-italic upper D Subscript j Baseline 1212 Superscript left-parenthesis 1 right-parenthesis EndMatrix Start 3 By 1 Matrix 1st Row bold-italic q Subscript s Superscript left-parenthesis 1 right-parenthesis 2nd Row bold-italic q Subscript s Superscript left-parenthesis 2 right-parenthesis 3rd Row bold-italic q Subscript j Baseline 12 EndMatrix 2nd Column equals Start 3 By 1 Matrix 1st Row bold-italic upper F Subscript s Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Row bold-italic upper F Subscript s Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Row bold-italic upper F Subscript j Baseline 12 EndMatrix EndLayout  (7.7)
StartLayout 1st Row 1st Column Start 3 By 3 Matrix 1st Row 1st Column 0 2nd Column 0 3rd Column 0 2nd Row 1st Column 0 2nd Column bold-italic upper D Subscript s s Superscript left-parenthesis 2 right-parenthesis 3rd Column bold-italic upper D Subscript s j Baseline 12 Superscript left-parenthesis 2 right-parenthesis 3rd Row 1st Column 0 2nd Column bold-italic upper D Subscript j Baseline 12 s Superscript left-parenthesis 2 right-parenthesis 3rd Column bold-italic upper D Subscript j Baseline 1212 Superscript left-parenthesis 2 right-parenthesis EndMatrix Start 3 By 1 Matrix 1st Row bold-italic q Subscript s Superscript left-parenthesis 1 right-parenthesis 2nd Row bold-italic q Subscript s Superscript left-parenthesis 2 right-parenthesis 3rd Row bold-italic q Subscript j Baseline 12 EndMatrix 2nd Column equals Start 3 By 1 Matrix 1st Row bold-italic upper F Subscript s Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Row bold-italic upper F Subscript s Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Row bold-italic upper F Subscript j Baseline 12 EndMatrix EndLayout  (7.8)

Summing both matrices and integrating them into one global matrix reads:

Start 3 By 3 Matrix 1st Row 1st Column bold-italic upper D Subscript s s Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Column 0 3rd Column bold-italic upper D Subscript s j Baseline 12 Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Row 1st Column 0 2nd Column bold-italic upper D Subscript s s Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Column bold-italic upper D Subscript s j Baseline 12 Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Row 1st Column bold-italic upper D Subscript j Baseline 12 s Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Column bold-italic upper D Subscript j Baseline 12 s Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Column bold-italic upper D Subscript j j Baseline 12 Superscript left-parenthesis 1 right-parenthesis Baseline plus bold-italic upper D Subscript j j Baseline 12 Superscript left-parenthesis 2 right-parenthesis Baseline EndMatrix Start 3 By 1 Matrix 1st Row bold-italic q Subscript s Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Row bold-italic q Subscript s Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Row bold-italic q Subscript j Baseline 12 Baseline EndMatrix equals Start 3 By 1 Matrix 1st Row bold-italic upper F Subscript s Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Row bold-italic upper F Subscript s Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Row bold-italic upper F Subscript j Baseline 12 EndMatrix  (7.9)

The above exercise can be performed for any number of subsystem connections. This process might look somehow academical, but it has a very practical background. As discussed above, large engineering systems consist of many different subsystems. When putting subsystems together for a large system set-up the stiffness matrices must be added under consideration of the correct degrees of freedom.

As mentioned above the degrees of freedom of connections or junctions are always deterministic. Thus, the shared degrees of freedom denote the connection of both SEA and FEM-systems. They are the glue for all the subsystems independent from the fact of whether they are random or deterministic.

7.2.1 Fluid Subsystems

All the derived expressions from the section introduction can be transferred to cavities by exchanging p instead of q for the generalized degrees of freedom and jωQ instead of F for the generalized force, hence:

Start 2 By 2 Matrix 1st Row 1st Column bold-italic upper D Subscript a comma i i Baseline 2nd Column bold-italic upper D Subscript a comma i s Baseline 2nd Row 1st Column bold-italic upper D Subscript a comma s i Baseline 2nd Column bold-italic upper D Subscript a comma s s Baseline EndMatrix StartBinomialOrMatrix bold-italic p Subscript i Baseline Choose bold-italic p Subscript s Baseline EndBinomialOrMatrix equals j omega StartBinomialOrMatrix bold-italic upper Q Subscript i Baseline Choose bold-italic upper Q Subscript s EndBinomialOrMatrix  (7.10)

Acoustic or fluid matrices are denoted by the extra subscript a.

7.2.2 Fluid Structure Coupling

Whereas the coupling of pure structural or acoustic systems is well defined by shared degrees of freedom the situation is different for the coupling of fluid and structure. This is not a general problem. It comes from the fact that different quantities are used as degrees of freedom, the displacement for structures and the pressure (or velocity potential) for fluid waves. There are implementations that use the displacement as degree of freedom in fluid waves, which makes the coupling formulation easier but leads to other drawbacks. However, we have already defined the coupling and boundary condition when we derived the pressure–velocity relationship for acoustic waves with equation (2.35). The link to the displacement follows directly from jωu=vx, thus

bold u equals StartFraction 1 Over omega squared rho 0 EndFraction nabla bold-italic p  (7.11)

At structure surfaces this concerns only the normal vector. From this coupling condition, the finite element equations of combined fluid and structure systems are given by

left-bracket Start 2 By 2 Matrix 1st Row 1st Column upper K 2nd Column bold-italic upper A 2nd Row 1st Column 0 2nd Column upper K Subscript a Baseline EndMatrix plus j omega Start 2 By 2 Matrix 1st Row 1st Column upper B 2nd Column 0 2nd Row 1st Column 0 2nd Column upper B Subscript a Baseline EndMatrix minus omega squared Start 2 By 2 Matrix 1st Row 1st Column upper M 2nd Column 0 2nd Row 1st Column bold-italic upper A Superscript upper H Baseline 2nd Column upper M Subscript a Baseline EndMatrix right-bracket StartBinomialOrMatrix bold-italic u Choose bold-italic p EndBinomialOrMatrix equals StartBinomialOrMatrix bold-italic upper F Choose j omega bold-italic upper Q EndBinomialOrMatrix  (7.12)

as described in detail, for example, by Davidsson (2004). A is the coupling matrix and K,B and M or Ka,Ba and Ma the structural or acoustic system matrices. Note that the coupling structural and fluid meshes are usually not coincident and hence interpolation between both is required. To conclude, even the full deterministic coupling of fluid and structure domains is a complex task when assembling the discrete equations of motion.

7.2.3 Deterministic Systems Coupled to the Free Field

Technical systems are usually embodied in an exterior fluid. Thus, the vibrating systems that are connected to the surroundings radiate waves to the exterior. Usually, the simulation of radiation to the exterior is performed by boundary element analysis, but there are simpler and faster approximations that will be given in section 8.2.3. Technically, this means defining a radiation stiffness matrix that considers only the outer degrees of freedom. The physical interpretation of this is that every locally radiating element surface excites an acoustic pressure field. This pressure field leads to a force acting on the element itself and all others. Adding up all elements leads to the free field radiation stiffness.

In addition we have shown that the surface dynamics of random systems is given by free field dynamics when the modal overlap factor is high enough. For an ensemble average of uncertain systems this occurs even earlier when the system is dynamically complex. Thus, for the theory of coupling random systems, it is useful to elaborate the effect of semi infinite or finite systems on deterministic systems.

Imagine a deterministic system as shown in Figure 7.2. The FEM system in the middle is system (3). The free field can be described by the free field radiation stiffness that affects the degrees of freedom that are connected to the deterministic subsystem. The connected degrees of freedom are denoted by qjm3 for the m-connected free field. Theoretically this can be any free field, acoustic space, a line of points radiating into an infinite plate, or a point radiating into a one-dimensional free field.

Figure 7.2Deterministic system connected to two semi infinite systems. Source: Alexander Peiffer.

The free field stiffness is defined exclusively for the connected degrees of freedom. Consider a deterministic system connected to a free field as shown in Figure 7.2. The free field stiffnesses [Ddir(m)] with shared degrees of freedom qjm must be added to the dynamic stiffness matrix of the deterministic system as shown in Equation (7.9). Assuming that we have already condensed the dynamic stiffness matrix to the shared degrees of freedom, the total dynamic stiffness reads as

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix equals Start 2 By 2 Matrix 1st Row 1st Column bold-italic upper D Subscript j Baseline 1313 Superscript left-parenthesis 3 right-parenthesis Baseline 2nd Column bold-italic upper D Subscript j Baseline 1323 Superscript left-parenthesis 3 right-parenthesis Baseline 2nd Row 1st Column bold-italic upper D Subscript j Baseline 2313 Superscript left-parenthesis 3 right-parenthesis Baseline 2nd Column bold-italic upper D Subscript j Baseline 2323 Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix plus Start 2 By 2 Matrix 1st Row 1st Column bold-italic upper D Subscript dir comma j Baseline 13 Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Column Blank 2nd Row 1st Column Blank 2nd Column Blank EndMatrix plus Start 2 By 2 Matrix 1st Row 1st Column Blank 2nd Column Blank 2nd Row 1st Column Blank 2nd Column bold-italic upper D Subscript dir comma j Baseline 23 Superscript left-parenthesis 2 right-parenthesis EndMatrix  (7.13)

In order to keep the equations readable, we assume that the correct degrees of freedom are selected automatically. With this convention, the above definition of the total matrix reads

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis 1 right-parenthesis Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis 2 right-parenthesis Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix plus sigma-summation Underscript m equals 1 comma 2 Endscripts Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis EndMatrix  (7.14)

Here m are the indexes of all connected free fields. To conclude, the dynamic behaviour of a deterministic system emerged into semi infinite systems described by several free field radiation stiffness matrices is given by:

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic q EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix  (7.15)

This total stiffness combines the dynamics of the deterministic system and connected SEA systems. In the following, we will make use of this fact first in the context of coupling loss factors. For this derivation, we neglect excitation at the deterministic system except the reverberant load from the diffuse wave fields. Finally, the general form of Equation (7.15) for the total stiffness reads

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript s Baseline EndMatrix plus sigma-summation Underscript m Endscripts Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis EndMatrix  (7.16)

7.3 Coupling Random Systems

The usual approach in classical SEA literature derives the coupling between random systems by application of wave scattering at the junctions or considerations based on reciprocity and excitation exactly at the junction. Here, we would like to apply the systematic approach by applying the diffuse field reciprocity relationship and the fact that the dynamics of every junction is determined by the total stiffness matrix.

In Chapter 6 we have shown that the expected value of stiffness of an ensemble of random systems is equal to the free field radiation stiffness because of the high dynamical complexity that does not allow for coherent reflection. Hence, the dynamic stiffness matrix of a random subsystem can be replaced by the free field direct radiation stiffness for the ensemble of random systems.

mathematical left-angle Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript j Baseline 1 Baseline EndMatrix mathematical right-angle Subscript upper E Baseline equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis 1 right-parenthesis EndMatrix  (7.17)

The impact of the random systems connected to the deterministic one is that each SEA system adds its free field radiation stiffness to the connected degrees of freedom of the deterministic system. Thus, the ensemble average dynamics of a deterministic system connected to several random systems can be described by the total stiffness matrix.

mathematical left-angle Start 1 By 1 Matrix 1st Row bold-italic upper D Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript j Baseline 1 Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript j Baseline 2 Baseline EndMatrix mathematical right-angle Subscript upper E Baseline equals Start 1 By 1 Matrix 1st Row bold-italic upper D Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis 1 right-parenthesis Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis 3 right-parenthesis Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix  (7.18)

Finally, we have defined the impact of random subsystems on the deterministic system. Note that the ensemble mean works as a filter that extracts the deterministic part of the equations of motion.

The next step is the determination of the load generated by reverberant fields irradiating the junctions. The cross spectral density of this load is given by the reciprocity relationship between the direct field radiation and the reverberant loading. Shorter and Langley (2005a) have proven this diffuse field reciprocity relationship for arbitrary diffuse fields. We will not go into the details of this quite complex proof and present the final result for stiffness and impedance

StartLayout 1st Row 1st Column Start 1 By 1 Matrix 1st Row upper S Subscript f f EndMatrix 2nd Column equals StartFraction 4 upper E Subscript m Baseline Over pi omega n left-parenthesis omega right-parenthesis EndFraction upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix 3rd Column Start 1 By 1 Matrix 1st Row upper S Subscript f f EndMatrix 4th Column equals StartFraction 4 upper E Subscript m Baseline Over pi n left-parenthesis omega right-parenthesis EndFraction upper R e Start 1 By 1 Matrix 1st Row bold-italic upper Z Subscript dir Superscript left-parenthesis m right-parenthesis EndMatrix EndLayout  (7.19)

What is the use of those relationships? They allow for the determination of random systems load at the boundaries just from energy, modal density and the free field radiation stiffness. Thus, for the simulation of the energy exchange between random systems they are an excellent foundation. The dynamics of a junction is determined by the free field radiation properties of the connected SEA systems and the load coming from the reverberant fields. With the presence of a deterministic system in the junction the dynamic stiffness of the FEM system must be added.

In Figure 7.3 the configuration is shown with direct and reverberant fields. Due to the connection to the random systems, the total stiffness is the sum of the dynamic stiffness of the deterministic system plus the two free field radiation stiffness matrices as in Equation (7.18).

Figure 7.3Random subsystem exciting the deterministic connection in between (LHS) or deterministic junction only (RHS). Source: Alexander Peiffer.

On the right hand side of the Figure 7.3, there is no deterministic system in the connection of both random fields. In this case the junction boundary is considered as deterministic, and the related stiffness matrix is only the sum of the free field radiation stiffness of the connected subsystems.

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix equals sigma-summation Underscript m Endscripts Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis EndMatrix  (7.20)

7.3.1 Power Input to System (m) from the nth Reverberant Field

Random load excitation is given by the cross spectral density function. When we replace the system response matrix by the inverse of the total stiffness matrix [H]=[Dtot1] in Equation (1.208) we get

Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript q q Superscript asterisk left-parenthesis n right-parenthesis Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix Superscript negative 1 Baseline Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript f f Superscript asterisk left-parenthesis m right-parenthesis Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix Superscript negative upper H  (7.21)

The cross spectral density of a stochastic load is hermitian; in case of diffuse fields it is a real matrix, and for symmetric radiation stiffness also symmetric. The cross spectral density matrix of the reverberant field can be replaced using the diffuse field reciprocity relationship (7.19)

Start 1 By 1 Matrix 1st Row upper S Subscript q q Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix Superscript negative 1 Baseline left-parenthesis StartFraction 4 upper E Subscript m Baseline Over pi omega n Subscript m Baseline EndFraction upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix right-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix Superscript negative upper H  (7.22)

This is the cross spectral density response of the FEM system of the junction degrees of freedom to the reverberant field with energy Em in the mth connected subsystem.

Figure 7.4 Power flow from reverberant field (m) into system (n). Source: Alexander Peiffer.

7.3.1.1 Power Radiated from Random Displacement

For the calculation of the power that is radiated into the nth system we consider those degrees of freedom that are connected to the nth system in combination with the radiation stiffness. According to Equation (1.99), and considering in addition that we need the expected value of the force-displacement product, the power into the n-system is given by

StartLayout 1st Row 1st Column mathematical left-angle normal upper Pi Subscript in Superscript left-parenthesis n right-parenthesis Baseline mathematical right-angle Subscript upper E 2nd Column equals StartFraction omega Over 2 EndFraction sigma-summation Underscript i Endscripts upper I m mathematical left-angle bold-italic upper F Subscript i Baseline bold-italic q Subscript i Superscript asterisk Baseline mathematical right-angle Subscript upper E EndLayout

With the force Fi given by reaction forces due to the displacements, we get

StartLayout 1st Row 1st Column Blank 2nd Column equals StartFraction omega Over 2 EndFraction sigma-summation Underscript i Endscripts upper I m mathematical left-angle left-parenthesis sigma-summation Underscript j Endscripts bold-italic upper D Subscript dir comma i j Superscript left-parenthesis n right-parenthesis Baseline bold-italic q Subscript j Baseline right-parenthesis bold-italic q Subscript i Superscript asterisk Baseline mathematical right-angle Subscript upper E Baseline 2nd Row 1st Column Blank 2nd Column equals StartFraction omega Over 2 EndFraction sigma-summation Underscript i comma j Endscripts upper I m left-brace bold-italic upper D Subscript dir comma i j Superscript left-parenthesis n right-parenthesis Baseline mathematical left-angle bold-italic q Subscript j Baseline bold-italic q Subscript i Superscript asterisk Baseline mathematical right-angle Subscript upper E Baseline right-brace EndLayout  (7.23)

When the stiffness matrix coordinates are a real based system the matrix is symmetric (Langley, 2007). In this case and only then, the hermitian cross spectral matrix can be factored out. This form is given in Shorter et al. (2005) under the assumption of symmetric stiffness matrices. In matrix notation we get

mathematical left-angle normal upper Pi Subscript in Superscript left-parenthesis n right-parenthesis Baseline mathematical right-angle Subscript upper E Baseline equals StartFraction omega Over 2 EndFraction sigma-summation Underscript i comma j Endscripts upper I m left-brace bold-italic upper D Subscript dir comma i j Baseline Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript q q Baseline EndMatrix Subscript i j Baseline right-brace equals ModifyingBelow StartFraction omega Over 2 EndFraction sigma-summation Underscript i comma j Endscripts upper I m bold-italic upper D Subscript dir comma i j Baseline Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript q q EndMatrix Subscript i j Baseline With bottom-brace Underscript bold-italic upper D Subscript dir Baseline symmetric Endscripts  (7.24)

with the cross spectral matrix (7.22), and by compiling all the information from the above considerations, we get the coupling loss factor in the hybrid formulation. From the energy power relationship (6.97) and the radiated power

StartLayout 1st Row 1st Column normal upper Pi Subscript m right-arrow n 2nd Column equals StartFraction omega Over 2 EndFraction sigma-summation Underscript i comma j Endscripts upper I m bold-italic upper D Subscript dir comma i j Superscript left-parenthesis n right-parenthesis Baseline left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative 1 Baseline left-parenthesis StartFraction 4 upper E Subscript m Baseline Over pi omega n Subscript m Baseline EndFraction upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix right-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative upper H Baseline right-parenthesis Subscript i j Baseline 2nd Row 1st Column Blank 2nd Column equals StartFraction 2 upper E Subscript m Baseline Over pi n Subscript m Baseline EndFraction sigma-summation Underscript i comma j Endscripts upper I m bold-italic upper D Subscript dir comma i j Superscript left-parenthesis n right-parenthesis Baseline left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative upper H Baseline right-parenthesis Subscript i j EndLayout  (7.25)

follows the coupling loss factor ηmn. To conclude, only the following three quantities are required to calculate the coupling loss factor:

  1. The free field radiation stiffness of the connected subsystems.
  2. The modal density of the source system.
  3. The dynamic stiffness matrix of the deterministic component of the junction.

In case of direct connection of random systems, the last item is neglected. When we now assume that there are several subsystems m, we have to sum up the contributions from all (N1) inputs to system n and include the external power input from sources in and at the boundary of the system Πin,ext:

normal upper Pi Subscript in Superscript left-parenthesis n right-parenthesis Baseline equals normal upper Pi Subscript in comma ext Superscript left-parenthesis n right-parenthesis Baseline plus sigma-summation Underscript m Endscripts omega eta Subscript m n Baseline upper E Subscript m  (7.26)

with

eta Subscript m n Baseline equals StartFraction 2 Over pi n Subscript m Baseline omega EndFraction sigma-summation Underscript i comma j Endscripts upper I m bold-italic upper D Subscript dir comma i j Superscript left-parenthesis n right-parenthesis Baseline left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative upper H Baseline right-parenthesis Subscript i j  (7.27)

7.3.2 Power Leaving the (m)th Subsystem

The power loss in this section must not be confused with the internal power losses due to dissipation in wave propagation or absorption at the (random) boundaries. In previous sections and especially in Equation (7.27), we dealt with the power input from all neighbor systems. In contrast to this we deal here with the losses due to random load excitation at the junction and the dissipation in the deterministic part of the junctions plus the radiation to the connected systems. Thus, we replace the radiation stiffness in (7.24) by the total stiffness

StartLayout 1st Row 1st Column normal upper Pi Subscript out Superscript left-parenthesis m right-parenthesis 2nd Column equals StartFraction omega Over 2 EndFraction sigma-summation Underscript j k Endscripts upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Subscript i j Baseline right-brace Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript q q Superscript left-parenthesis m right-parenthesis EndMatrix Subscript i j Baseline 2nd Row 1st Column Blank 2nd Column equals StartFraction 2 upper E Subscript m Baseline Over pi n Subscript m Baseline EndFraction sigma-summation Underscript j k Endscripts upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Subscript i j Baseline right-brace left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative upper H Baseline right-parenthesis Subscript i j EndLayout  (7.28)

Introducing the detailed expression of the imaginary part of the total stiffness matrix

upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Subscript i j Baseline right-brace equals upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript i j Baseline right-brace plus sigma-summation Underscript n Endscripts upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis n right-parenthesis Baseline EndMatrix Subscript i j Baseline right-brace  (7.29)

and entering it into (7.28) provides

StartLayout 1st Row 1st Column normal upper Pi Subscript out Superscript left-parenthesis m right-parenthesis 2nd Column equals StartFraction 2 upper E Subscript m Baseline Over pi n Subscript m Baseline EndFraction sigma-summation Underscript j k Endscripts upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript i j Baseline right-brace left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative upper H Baseline right-parenthesis Subscript i j Baseline 2nd Row 1st Column Blank 2nd Column StartFraction 2 upper E Subscript m Baseline Over pi n Subscript m Baseline EndFraction sigma-summation Underscript n Endscripts sigma-summation Underscript j k Endscripts upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis n right-parenthesis Baseline EndMatrix Subscript i j Baseline right-brace left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative upper H Baseline right-parenthesis Subscript i j 3rd Row 1st Column Blank 2nd Column equals omega upper E Subscript m Baseline left-parenthesis eta Subscript m m Superscript alpha Baseline plus sigma-summation Underscript n Endscripts eta Subscript m n Baseline right-parenthesis EndLayout  (7.30)

The right hand side of the above equation is the sum of all power leaving the mth system including itself. This corresponds to the sum in the diagonal terms of the SEA matrix in Equation (6.113). Compared to (6.113) there is an additional special damping loss factor in (7.30):

eta Subscript m m Superscript alpha Baseline equals StartFraction 2 Over pi omega n Subscript m Baseline left-parenthesis omega right-parenthesis EndFraction sigma-summation Underscript i comma j Endscripts upper I m left-brace bold-italic upper D Subscript i j Baseline right-brace left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript negative upper H Baseline right-parenthesis Subscript i j  (7.31)

For a non-dispersive deterministic system the imaginary part of the dynamic stiffness matrix is zero and thus ηmmα=0. This term is a difference to classical SEA because it considers damping in the junction or deterministic systems that is not given in classical SEA theory (Lyon and DeJong, 1995).

However, the dissipation due to field and (random) boundary absorption is still given by

normal upper Pi Subscript diss Superscript left-parenthesis m right-parenthesis Baseline equals eta Subscript m m Baseline omega upper E Subscript m

and we compile all expressions to1

normal upper Pi Subscript out Superscript left-parenthesis m right-parenthesis Baseline equals omega eta Subscript m Baseline upper E Subscript m Baseline equals omega left-parenthesis eta Subscript m m Superscript alpha Baseline plus sigma-summation Underscript n Endscripts eta Subscript m n Baseline right-parenthesis equals omega left-parenthesis eta Subscript m m Superscript alpha Baseline plus sigma-summation Underscript n Endscripts eta Subscript m n Baseline right-parenthesis  (7.32)

With the above equations we can calculate all required coefficients for the SEA-matrix (6.113).

7.3.2.1 Assembling the Hybrid SEA Matrix

In Figure 7.5 the power components of the mth SEA subsystem are depicted:

  1. power input from external sources, e.g. forces, volume sources radiated into the system via the direct field.
  2. power input from surrounding SEA subsystems.
  1. power loss into the surrounding SEA subsystems and dissipation in the FEM subsystem due to interaction of the reverberant field with the junctions.
  2. power loss due to field dissipation and absorption at random boundaries.

Figure 7.5 Power balance of random subsystem connected to deterministic boundary and system. Source: Alexander Peiffer.

Setting up the power balance

normal upper Pi Subscript out Superscript left-parenthesis m right-parenthesis Baseline plus normal upper Pi Subscript diss Superscript left-parenthesis m right-parenthesis Baseline equals normal upper Pi Subscript in comma dir Superscript left-parenthesis m right-parenthesis Baseline plus normal upper Pi Subscript in comma ext Superscript left-parenthesis m right-parenthesis  (7.33)

and assembling all contributions leads to the same form as in Equation (6.113)

StartLayout 1st Row Start 4 By 4 Matrix 1st Row 1st Column n 1 left-parenthesis eta 11 Superscript alpha Baseline plus sigma-summation Underscript n equals 1 Overscript upper N Endscripts eta Subscript 1 n Baseline right-parenthesis 2nd Column minus n 2 normal eta 21 3rd Column midline-horizontal-ellipsis 4th Column minus n Subscript upper N Baseline eta Subscript upper N Baseline 1 2nd Row 1st Column minus n 1 eta 12 2nd Column n 2 left-parenthesis eta 22 Superscript alpha Baseline plus sigma-summation Underscript n equals 1 Overscript upper N Endscripts eta Subscript 2 n Baseline right-parenthesis 3rd Column Blank 4th Column vertical-ellipsis 3rd Row 1st Column vertical-ellipsis 2nd Column Blank 3rd Column asterisk 4th Column Blank 4th Row 1st Column minus n 1 eta Subscript 1 upper N 2nd Column midline-horizontal-ellipsis 3rd Column Blank 4th Column n Subscript upper N Baseline left-parenthesis eta Subscript upper N upper N Superscript alpha Baseline plus sigma-summation Underscript n equals 1 Overscript upper N Endscripts eta Subscript upper N n Baseline right-parenthesis EndMatrix 2nd Row ellipsis omega Start 4 By 1 Matrix 1st Row StartFraction upper E 1 Over n 1 EndFraction 2nd Row StartFraction upper E 2 Over n 2 EndFraction 3rd Row vertical-ellipsis 4th Row StartFraction upper E Subscript upper N Baseline Over n Subscript upper N Baseline EndFraction EndMatrix equals Start 4 By 1 Matrix 1st Row normal upper Pi Subscript in Superscript left-parenthesis 1 right-parenthesis Baseline 2nd Row normal upper Pi Subscript in Superscript left-parenthesis 2 right-parenthesis Baseline 3rd Row vertical-ellipsis 4th Row normal upper Pi Subscript in Superscript left-parenthesis upper N right-parenthesis EndMatrix EndLayout  (7.34)

or

Start 1 By 1 Matrix 1st Row upper L Superscript prime Baseline EndMatrix equals Start 4 By 4 Matrix 1st Row 1st Column n 1 left-parenthesis eta 11 Superscript alpha Baseline plus sigma-summation Underscript n equals 1 Overscript upper N Endscripts eta Subscript 1 n Baseline right-parenthesis 2nd Column minus n 2 eta 21 3rd Column midline-horizontal-ellipsis 4th Column minus n Subscript upper N Baseline eta Subscript upper N Baseline 1 Baseline 2nd Row 1st Column minus n 1 eta 12 2nd Column n 2 left-parenthesis eta 22 Superscript alpha Baseline plus sigma-summation Underscript n equals 1 Overscript upper N Endscripts eta Subscript 2 n Baseline right-parenthesis 3rd Column Blank 4th Column vertical-ellipsis 3rd Row 1st Column vertical-ellipsis 2nd Column Blank 3rd Column down-right-diagonal-ellipsis 4th Column Blank 4th Row 1st Column minus n 1 eta Subscript 1 upper N Baseline 2nd Column midline-horizontal-ellipsis 3rd Column Blank 4th Column n Subscript upper N Baseline left-parenthesis eta Subscript upper N upper N Superscript alpha Baseline plus sigma-summation Underscript n equals 1 Overscript upper N Endscripts eta Subscript upper N n Baseline right-parenthesis EndMatrix  (7.35)

7.3.3 Some Remarks on SEA Modelling

Before we get into detailed SEA models it is time to make some remarks. In the preceding sections we discussed the diffuse wave field model to describe random systems. In this chapter we presented the numerical toolbox to determine the exchange of power between diffuse reverberant fields. So, we are totally aware of the practical simplicity but also the restrictions of the diffuse wave field model. Imagine a system with many random subsystems – each of them must fulfill these restrictions. Imagine now in addition that we model the power flow through a cascade of such random systems because we have to model a system of connected plates. In every step of power flow from one system to the other, we will make an error, so consequently when applying SEA to this configuration the system must be really complex.

So, how can this dilemma be overcome? First, try to avoid small subsystems and cascades of subsystems in major paths of power flow. In other words try to model these parts by deterministic methods.

Second, in many cases a subsystem does not only transport acoustic energy via reverberant fields, but very often there is a forced motion of the subsystem. In the modal approach this corresponds to excitation of modes out of their resonant frequency. In the SEA language this path of indirect transfer is called the indirect or non-resonant path. We will later use the hybrid junction description in modal coordinates to clarify this phenomena.

And last but not least, we can correct the reverberant field assumption by methods of geometrical acoustics. This is standard in room acoustics due to the historical application of ray tracing methods in concert hall design or the prediction of large acoustic environments such as work shops or sporting event areas.

7.4 Hybrid FEM/SEA Method

Until now we have seen deterministic and random approaches to describe subsystems. When we dealt with single systems, we derived the criteria for how to separate the FEM from the SEA world normally at one specific frequency determined by Helmholtz number, dimension, and modal overlap. Real engineering systems consist of many such subsystems, and this specific frequency is different for each subsystem. Thus, it may happen that there are random and deterministic subsystems in one global system. This dilemma is called the mid-frequency problem and motivated the creation of the hybrid FEM/SEA method that combines both approaches in one set-up. In the preceding sections and the chapters before we have dealt with all means that are required to set-up the hybrid method, especially by including FEM components into the calculation of coupling loss factors. The FEM part was considered as part of a junction and an illustrative derivation of the coupling loss factor.

However, we did not include the FEM part in the global system context and did not include excitation of FEM degrees of freedom. Therefore, the hybrid FEM/SEA theory is introduced here again in a more general way.

In Figure 7.6 a generic set-up of of potentially three subsystems is shown. When defining a model of this configuration for the full audible frequency range from f2020000 Hz we need to cover three orders of magnitude for frequency or wavenumber.

Figure 7.6Subsystem configuration over frequency. Source: Alexander Peiffer.

At low frequencies (case 1) the full set-up is modelled by FEM denoted by a mesh presentation of all subsystems. With increasing frequency the first subsystem becomes random (case 2), and now we must couple the reduced FEM system to the new SEA subsystem. Further increase in frequency (case 3) makes an additional component switch to random behavior, and the middle system must be considered in the junction formulation as defined by Equation (7.27). For even higher frequencies a full SEA (case 4) configuration may be required involving only pure SEA junctions, meaning that the total stiffness of (7.27) contains only the radiation stiffness terms.

The consequence is that we must apply both modelling principles in one model, with full flexibility if we would like to avoid creating several different models for the full frequency range as shown, for example, in Peiffer et al. (2013) and in section 12.2.3. However, Shorter and Langley (2005) have formulated this principle. We have already derived the components of this theory to explain the ideas of hybrid modelling, and we will extend this by deterministic and random excitation of the FEM subsystems.

7.4.1 Combining SEA and FEM Subsystems

In Figure 7.7 a generic FEM subsystem that is connected to several SEA systems is shown. The dynamics of the FEM part is defined by a matrix equation as shown for example in (5.1) and given by [Ds]. The SEA impact on the FEM subsystem is described by the dynamic radiation stiffness [DSEA(m)] of the surface degrees of freedom qs that are connected to FEM subsystem. We learned in section 7.3 that the total stiffness matrix is the matrix of all FEM subsystems plus the stiffness matrices of all connected SEA systems

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript s EndMatrix plus sigma-summation Underscript m Endscripts Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript SEA Superscript left-parenthesis m right-parenthesis EndMatrix  (7.36)

Figure 7.7 Separation of a hybrid FEM/SEA system into FEM and SEA parts. Source: Alexander Peiffer.

here still considered as a deterministic matrix.

There can be excitation by external forces (deterministic and random) and reverberant fields. The sum of all external forces

Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix Subscript ext Baseline plus Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix Subscript rev Baseline equals Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix Subscript det Baseline plus Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix Subscript rnd Baseline plus Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix Subscript rev  (7.37)

is separated for practical reasons into the following components:

StartLayout 1st Row 1st Column StartSet bold-italic upper F EndSet Subscript ext Baseline equals StartSet bold-italic upper F EndSet Subscript det Baseline plus StartSet bold-italic upper F EndSet Subscript rnd Baseline 2nd Column external forces period 2nd Row 1st Column StartSet bold-italic upper F EndSet Subscript det 2nd Column deterministic comma coherent external forces period 3rd Row 1st Column StartSet bold-italic upper F EndSet Subscript rnd 2nd Column random force due to other random excitations comma e period g period TBL comma rain on the roof comma jet noise period 4th Row 1st Column StartSet bold-italic upper F EndSet Subscript rev 2nd Column random force due to the reverberant field of SEA systems period EndLayout

The ensemble average of the two forces with random character is zero

mathematical left-angle Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix Subscript rnd Baseline mathematical right-angle Subscript upper E Baseline equals mathematical left-angle Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix Subscript rev Baseline mathematical right-angle Subscript upper E Baseline equals 0

Putting the above loads and the stiffness matrices together gives:

left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript s Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript SEA Baseline EndMatrix right-parenthesis Start 1 By 1 Matrix 1st Row bold-italic q EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper F Subscript e x t Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper F Subscript r e v EndMatrix  (7.38)

This combination of matrices and excitation vectors must be reduced and separated into the FEM and the SEA part. We think of an ensemble of subsystems that is averaged to filter both components. In Figure 7.8 this filtering procedure is depicted. The mean value extracts the FEM components of the system; the expected value of the cross spectral density transforms the random systems into SEA components and keeps the deterministic system (for the coupling).

Figure 7.8Application of ensemble averaging to a complex system. Source: Alexander Peiffer.

7.4.1.1 Ensemble Average of Linear State Variable

We start with the ensemble average of the equation of motion (7.38). On the left hand side the SEA matrix is replaced by the free field radiation stiffness because the ensemble average of random systems stiffness is equal to the free field radiation stiffness

mathematical left-angle Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript s Baseline EndMatrix plus sigma-summation Underscript m Endscripts Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript SEA Superscript left-parenthesis m right-parenthesis Baseline EndMatrix mathematical right-angle Subscript upper E Baseline equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript s Baseline EndMatrix plus sigma-summation Underscript m Endscripts Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix  (7.39)

and the ensemble average of the full equation reads, using the zero average of the random forces:

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic u EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper F Subscript det EndMatrix  (7.40)

Thus, for the deterministic calculation the only impact of the SEA systems is the contact impedance, given by the free field radiation stiffness as illustrated on the left hand side of Figure 7.9. This reponse will lead to a power input into the reverberant fields of the SEA subsystems, but this is not considered in the deterministic response because of its non-coherent character and zero mean response.

Figure 7.9 Remaining expressions after ensemble averaging of all systems. Source: Alexander Peiffer.

7.4.1.2 Ensemble Average of Cross Spectral Density

Figure 7.10Remaining expressions after ensemble averaging of cross spectral density. Source: Alexander Peiffer.

The cross spectral density is targeting the random part. From section 1.7.2 we know that the response to random loads requires the application of cross spectral density. Starting from the inverted (7.38) and neglecting the deterministic part {Fdet}

Start 1 By 1 Matrix 1st Row bold-italic q EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix Superscript negative 1 Baseline left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper F Subscript r e v Baseline EndMatrix plus Start 1 By 1 Matrix 1st Row bold-italic upper F Subscript r n d Baseline EndMatrix right-parenthesis  (7.41)

and using the expected value expression for the cross spectral density 1.205 we get

Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript q q Baseline EndMatrix equals mathematical left-angle bold-italic q bold-italic q Superscript upper H Baseline mathematical right-angle Subscript upper E Baseline equals Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript tot Superscript negative 1 Baseline Start 1 By 1 Matrix 1st Row upper S Subscript f f Baseline EndMatrix Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript tot Superscript negative upper H  (7.42)

with [Sff] being the cross spectral density of {F}. Separating the forces into the different components yields

StartLayout 1st Row 1st Column Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript q q EndMatrix 2nd Column equals Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript tot Superscript negative 1 Baseline left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript f f Baseline EndMatrix Subscript ext Baseline plus Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript f f Baseline EndMatrix Subscript rev Baseline right-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript tot Superscript negative upper H EndLayout

where the reverberant force term can be replaced by the diffuse field reciprocity expression

StartLayout 1st Row equals Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript tot Superscript negative 1 Baseline left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper S Subscript f f Baseline EndMatrix Subscript ext Baseline plus StartFraction 4 Over pi omega EndFraction sigma-summation Underscript m Endscripts StartFraction upper E Subscript m Baseline Over n Subscript m Baseline left-parenthesis omega right-parenthesis EndFraction upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript dir Superscript left-parenthesis m right-parenthesis Baseline right-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript tot Superscript negative upper H EndLayout  (7.43)

Equation (7.43) allows the calculation of an FEM subsystem response connected to several SEA subsystems and excited by random loads. According to our nomenclature we have to keep in mind that each subsystem is connected to specific degrees of freedom when we apply (7.43).

For practical reasons we make some further definitions. Usually, the FEM system is connected to several SEA systems.

Figure 7.11 The two effects of a SEA system on a connected FEM subsystem. Source: Alexander Peiffer.

In the discussion of section 7.3, the derivation was applied to FEM systems that are in the junction context. Here, Equation (7.13) is applied to the full FEM subsystem meaning that every SEA subsystem adds a free field radiation stiffness to the remaining dynamic stiffness.

Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot EndMatrix Subscript i Baseline equals Start 1 By 1 Matrix 1st Row bold-italic upper D EndMatrix Subscript i Baseline plus sigma-summation Underscript m left-parenthesis i right-parenthesis Endscripts Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis EndMatrix  (7.44)

Note that we must keep in mind the related degrees of freedom and the fact that the matrix [D]i is different for every configuration (i) in Figure 7.6. For example case 2 (i=2) and case 3 (i=3) in Figure 7.6 require a different set m(i) of SEA subsystems. The FEM part also depends on every configuration in any case (i).

7.4.1.3 Integration of FEM into the SEA Power Flow

Figure 7.12Remaining expressions for SEA power balance in the hybrid system configuration. Source: Alexander Peiffer.

This step was already dealt with in section 7.3 by using the deterministic formulation of the junction dynamics. Now, the (remaining) FEM system is given by all junctions and the deterministic systems. The SEA subsystems are modelled by the power flow Equation (7.34). The properties of the FEM subsystem are included in the total stiffness matrix Dtot that is used to determine the coupling loss factors.

7.4.2 Work Flow of Hybrid Simulation

Figure 7.13 Workflow of hybrid simulation. Source: Alexander Peiffer.

The above derivation includes all steps of a workflow to calculate the dynamic response of deterministic and random subsystem over the full frequency range. Roughly speaking the workflow follows the above subsections 7.4.1.1 to 7.4.1.3. For reasons of simplicity the workflow is presented for one frequency domain with one subsystem configuration. That means we have already determined which subsystem is modelled as FEM and which one is considered as SEA. In later applications this decision has to be made for every frequency.

7.4.2.1 Setting up the System Configuration

The first step in hybrid modelling is the determination of the global configuration of FEM and SEA subsystems and the identification of junction areas or the specific degrees of freedom of the junction areas.

FEM1 Set up the combined discrete equations of motion of FEM subsystems according to Equation (7.12).

SEA1 Set up the properties of all SEA subsystems (modal density, damping, group wave speed) for random system description.

JUN1 Determine the related free field radiation stiffness of all junctions into the connected SEA subsystems.

7.4.2.2 Setting up the System Matrices and Coupling Loss Factors

In hybrid models there are two system matrices. Both need the total stiffness matrices and the dynamic stiffness matrix that leads to the combined total stiffness matrix. By the help of the total stiffness matrix, the coupling loss factors can be determined that finally provide the SEA matrix.

FEM2 Create the total stiffness matrix according to Equation (7.13).

SEA2 Create [L] from the total stiffness and the (connected) radiation stiffnesses for each junction to determine the coupling loss factors according to Equations (7.27) and (7.31).

7.4.2.3 Apply External Loads

Usually external loads exist for all frequencies of our system. They must be considered in a different way depending on the fact of whether they excite a SEA system or a FEM subsystem.

FEM3.1 Define the generalized nodal forces for deterministic loads.

FEM3.2 Define the cross spectrum of generalized nodal forces for random loads.

SEA3 Determine the input power into the SEA system. This requires the free field radiation stiffness into the SEA subsystem at the point of excitation. Similar to the FEM excitation specific algorithms are required depending on the nature of the load.

7.4.2.4 Solving the Linear System of Equations

When the FEM systems are purely excited by deterministic loads, it is easier to use the classical equations of motion and solve for the deterministic response of {qs}. From this result the power radiated into the SEA subsystems is calculated with Equation (1.102) using generalized coordinates. However, when one external excitation is random, it makes sense to consider Equation (7.24) for both loads.

FEM4.1 Solve Equation (7.43) excluding the reverberant loads from the SEA subsystems.

FEM4.2 Determine the power from direct field radiation according to Equation (7.24).

SEA4.1 Solve the SEA matrix using the radiated power from FEM systems and power sources directly exciting the SEA systems.

SEA4.2 Solve the FEM equation using the reverberant load according to (7.19).

7.4.2.5 Combining Both Results

Finally, all results must be combined. Due to the fact that the reverberant fields from the SEA systems are not correlated to the results from the external excitation, the sum of both cross spectral matrices is taken.

FEM5 Add FEM results from external and reverberant loads.

SEA5 Calculate the physical units from energy results of SEA subsystems.

7.5 Hybrid Modelling in Modal Coordinates

Deterministic systems are characterized by the fact that few wavelengths fit into the system. One consequence of this is that there are only a reasonable number of normal modes required to calculate the dynamic response with modal methods. Consequently, we express the generalized displacement in modal coordinates by

Start 1 By 1 Matrix 1st Row bold-italic q EndMatrix equals sigma-summation Underscript k Endscripts bold-italic q prime Subscript n Baseline Start 1 By 1 Matrix 1st Row normal upper Phi Subscript n Baseline EndMatrix or Start 1 By 1 Matrix 1st Row bold-italic q EndMatrix equals Start 1 By 1 Matrix 1st Row normal upper Phi EndMatrix Start 1 By 1 Matrix 1st Row bold-italic q Superscript prime Baseline EndMatrix with Start 1 By 1 Matrix 1st Row normal upper Phi EndMatrix equals Start 1 By 1 Matrix 1st Row normal upper Phi 1 normal upper Phi 2 ellipsis normal upper Phi Subscript upper N Baseline EndMatrix  (7.45)

and the generalized forces by

Start 1 By 1 Matrix 1st Row normal upper Phi EndMatrix Superscript upper T Baseline Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix equals Start 1 By 1 Matrix 1st Row bold-italic upper F EndMatrix prime  (7.46)

Entering this into the dynamic equation for the deterministic part of the hybrid theory (7.40) and multiplying from the right with [Φ]H, the result is

table attributes columnalign right left right left right left right left right left right left columnspacing 0em 2em 0em 2em 0em 2em 0em 2em 0em 2em 0em end attributes row cell left square bracket table attributes columnspacing 1em end attributes row straight capital phi end table right square bracket to the power of H left square bracket table attributes columnspacing 1em end attributes row cell bold italic D subscript text tot end text end subscript end cell end table right square bracket left square bracket table attributes columnspacing 1em end attributes row straight capital phi end table right square bracket left curly bracket table attributes columnspacing 1em end attributes row bold italic q end table right curly bracket to the power of apostrophe end cell cell blank equals end cell row cell left square bracket table attributes columnspacing 1em end attributes row straight capital phi end table right square bracket to the power of H left square bracket table attributes columnspacing 1em end attributes row cell bold italic D subscript s end cell end table right square bracket left square bracket table attributes columnspacing 1em end attributes row straight capital phi end table right square bracket plus sum for m of left square bracket table attributes columnspacing 1em end attributes row straight capital phi end table right square bracket to the power of H left square bracket table attributes columnspacing 1em end attributes row cell bold italic D subscript text dir end text end subscript superscript left parenthesis m right parenthesis end superscript end cell end table right square bracket left square bracket table attributes columnspacing 1em end attributes row straight capital phi end table right square bracket end cell cell blank equals left square bracket table attributes columnspacing 1em end attributes row straight capital phi end table right square bracket to the power of H left curly bracket table attributes columnspacing 1em end attributes row cell bold italic F subscript text det end text end subscript end cell end table right curly bracket end cell row cell equals left square bracket table attributes columnspacing 1em end attributes row cell bold italic D subscript s end cell end table right square bracket to the power of apostrophe plus sum for m of left square bracket table attributes columnspacing 1em end attributes row cell bold italic D subscript text dir end text end subscript superscript left parenthesis m right parenthesis end superscript end cell end table right square bracket to the power of apostrophe end cell cell blank equals left curly bracket table attributes columnspacing 1em end attributes row cell bold italic F subscript text det end text end subscript end cell end table right curly bracket to the power of apostrophe end cell end table  (7.47)
table attributes columnalign right left columnspacing 0em 2em end attributes row cell left square bracket table attributes columnspacing 1em end attributes row cell bold italic D subscript text tot end text end subscript end cell end table right square bracket to the power of apostrophe left curly bracket table attributes columnspacing 1em end attributes row bold italic q end table right curly bracket to the power of apostrophe end cell cell blank equals left curly bracket table attributes columnspacing 1em end attributes row cell bold italic F subscript text det end text end subscript end cell end table right curly bracket to the power of apostrophe end cell end table  (7.48)

Table 7.1 FEM and SEA system description

FEMSEA
[Ds(m)]{qs(m)}={Fs(m)}ω[L]Em=Πin

The first matrix is the diagonal dynamic stiffness matrix

StartLayout 1st Row 1st Column Start 1 By 1 Matrix 1st Row bold-italic upper D prime Subscript s EndMatrix 2nd Column Start 1 By 1 Matrix 1st Row normal upper Phi EndMatrix Superscript upper H Baseline Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript s Baseline EndMatrix Start 1 By 1 Matrix 1st Row normal upper Phi EndMatrix equals Start 4 By 4 Matrix 1st Row 1st Column omega 1 squared left-parenthesis 1 plus j eta right-parenthesis minus omega squared 2nd Column Blank 3rd Column Blank 4th Column Blank 2nd Row 1st Column Blank 2nd Column down-right-diagonal-ellipsis 3rd Column Blank 4th Column Blank 3rd Row 1st Column Blank 2nd Column Blank 3rd Column omega Subscript n Superscript 2 Baseline left-parenthesis 1 plus j eta right-parenthesis minus omega squared 4th Column Blank 4th Row 1st Column Blank 2nd Column Blank 3rd Column Blank 4th Column omega Subscript upper N Superscript 2 Baseline left-parenthesis 1 plus j eta right-parenthesis minus omega squared EndMatrix EndLayout  (7.49)

but the direct field radiation stiffness matrices in the sum are not. So, we keep a simplified condensed equation of motion for the FEM part, but the connection to the SEA systems described by the direct field radiation stiffness leads to fully populated but hermitian matrices. As a consequence the number of modes must be kept small to keep the advantage of the modal method.

The SEA part can be converted accordingly leading to exactly the same formulas but using matrices in modal space. Hence,

eta Subscript m n Baseline equals StartFraction 2 Over pi n Subscript m Baseline omega EndFraction sigma-summation Underscript i comma j Endscripts upper I m left-brace bold-italic upper D Subscript dir comma i j Superscript prime left-parenthesis n right-parenthesis Baseline right-brace left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript prime negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix prime Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript prime negative upper H Baseline right-parenthesis Subscript i j  (7.50)

and

eta Subscript m m Superscript alpha Baseline equals StartFraction 2 Over pi omega n Subscript m Baseline left-parenthesis omega right-parenthesis EndFraction sigma-summation Underscript i comma j Endscripts upper I m left-brace Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript i j Baseline EndMatrix prime right-brace left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript prime negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix prime Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript prime negative upper H Baseline right-parenthesis Subscript i j  (7.51)

With (7.49) the second equation simplifies to

eta Subscript m m Superscript alpha Baseline equals StartFraction 2 Over pi omega n Subscript m Baseline left-parenthesis omega right-parenthesis EndFraction sigma-summation Underscript i Endscripts eta omega Subscript i Superscript 2 Baseline left-parenthesis Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript prime negative 1 Baseline upper I m Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript dir Superscript left-parenthesis m right-parenthesis Baseline EndMatrix prime Start 1 By 1 Matrix 1st Row bold-italic upper D Subscript tot Baseline EndMatrix Superscript prime negative upper H Baseline right-parenthesis Subscript i i  (7.52)

The modal coordinates are one example for generalized coordinates.

Bibliography

  1. Peter Davidsson. Structure-Acoustic Analysis; Finite Element Modelling and Reduction Methods. PhD other, Lund University, Lund, Sweden, August 2004.
  2. R. S. Langley. On the diffuse field reciprocity relationship and vibrational energy variance in a random subsystem at high frequencies. The Journal of the Acoustical Society of America, 121(2): 913–921, 2007.
  3. R.H. Lyon and R.G. DeJong. Theory and Application of Statistical Energy Analysis, Second Edition. Butterworth Heinemann, 1995. ISBN 0-7506-9111-5.
  4. Alexander Peiffer, Clemens Moeser, and Arno Röder. Transmission loss modelling of double wall structures using hybrid simulation. In Fortschritte Der Akustik, pages 1161–1162, Merano, March 2013.
  5. P. J. Shorter and R. S. Langley. On the reciprocity relationship between direct field radiation and diffuse reverberant loading. The Journal of the Acoustical Society of America, 117(1): 85–95, 2005a.
  6. P. J. Shorter and R. S. Langley. Vibro-acoustic analysis of complex systems. Journal of Sound and Vibration, 288 (3): 669–699, 2005b. ISSN 0022-460X.
  7. P. J. Shorter, Y. Gooroochurn, and B. Rodewald. Advanced vibro-acoustic models of welded junctions. In Proceedings Internoise 2005, Rio, Brasil, August 2005.

Notes

  1. 1   The dynamics of an absorbing surface can be integrated via a dynamic stiffness matrix of this surface leading to the same surface absorption.
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