Automatic subsystem identification in statistical energy analysis

Díaz-Cereceda, Cristina; Poblet-Puig, Jordi; Ferran, Antonio Rodríguez

doi:10.1016/j.ymssp.2014.09.003

Cited by 14 publications

(12 citation statements)

References 27 publications

(41 reference statements)

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“…Once defined the test cases, the next step is that of partitioning the four-plate system into subsystems. This sub-structuring [46][47][48][49][50] should comply with the weak coupling assumption of SEA. Different definitions for the latter can be found in literature, which have always been a matter of discussion.…”

Section: Sub-structuring and Sea Weak Coupling Assumptionmentioning

confidence: 99%

A dual modal formulation for multiple flexural subsystems connected at a junction in energy-based models

Maxit

Guasch

2019

Mechanical Systems and Signal Processing

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Statistical energy methods in vibroacoustics, like the statistical energy analysis (SEA) or the statistical modal energy distribution analysis (SmEdA), rely on specific modal coupling assumptions (MCAs) between subsystem modes. These methods assume that the behavior of subsystem mode amplitudes mimic that of oscillators, that the modes within a subsystem are uncoupled, and that the coupling between two different subsystems only takes place through the interaction of resonant modes. In the case of more than two subsystems being connected at a junction, however, it becomes difficult to establish a modal interaction scheme for them. In SEA, the problem is avoided by resorting to the travelling wave approach instead of the modal one. Nevertheless, there is a need for other energy-based methods, like SmEdA, to deal with such a situation. In this work it is proposed to extend the displacement-stress dual formulation, originally intended for two subsystems, to the case of multiple flexural waveguides connected at a junction. Numerical results are presented for a test case consisting of a floor coupled to two walls at right angle. The fulfillment of the MCAs by the dual modal formulation is examined in terms of the impedance mismatch between the floor and the walls.

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Section: Sub-structuring and Sea Weak Coupling Assumptionmentioning

confidence: 99%

A dual modal formulation for multiple flexural subsystems connected at a junction in energy-based models

Maxit

Guasch

2019

Mechanical Systems and Signal Processing

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“…The clustering algorithm is similar to the one described in [15], but with one important difference: the elements are simply the rows of T k , and there is no need to divide the problem domain into cells nor to compute energies associated to those cells. The clustering process is hierarchical; this means that the rows of T k are grouped progressively into sets of rows according to their correlation distance.…”

Section: Subsystem Identification By Means Of Cluster Analysis 231 mentioning

confidence: 99%

“…Some of them simply choose the subsystems according to the material: a glass pane, an aluminium panel, etc. [9,10], other are based on energy models [11,12,13], regard the frequency response function of a system [14], or study the shape of some eigenfunctions of the system [15].…”

Section: Introductionmentioning

confidence: 99%

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A subsystem identification method based on the path concept with coupling strength estimation

Magrans

Poblet-Puig

Ferran

2018

Mechanical Systems and Signal Processing

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For complex geometries, the definition of the subsystems is not a straightforward task. We present here a subsystem identification method based on the direct transfer matrix, which represents the first-order paths. The key ingredient is a cluster analysis of the rows of the powers of the transfer matrix. These powers represent high-order paths in the system and are more affected than low-order paths by damping.\ud Once subsystems are identified, the proposed approach also provides a quantification of the degree of coupling between subsystems. This information is relevant to decide whether a subsystem may be analysed in a computer model or measured in the laboratory independently of the rest or subsystems or not. The two features (subsystem identification and quantification of the degree of coupling) are illustrated by means of numerical examples: plates coupled by means of springs and rooms connected by means of a cavity.Peer ReviewedPostprint (author's final draft

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“…As an effective prediction technique for medium-high frequency responses, statistical energy analysis (SEA) is widely used in the aerospace and auto industry [1][2][3]. SEA divides complex systems into different modal groups.…”

Section: Introductionmentioning

confidence: 99%

SEA Subsystem Attribute Correction Based on Stiffness Multipliers

Gao¹,

Yong²

2016

Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering

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Abstract-This study introduces the principles and application procedures of the stiffness multiplier method used to correct the statistical energy analysis (SEA) subsystem attributes. Using the cockpit floor of a certain type of fighter aircraft as an example, this study combines the finite element method and stiffness multiplier correction technique to modify the modal density of the SEA model through theoretical derivation and numerical simulation analysis. Results of the numerical simulation show that the SEA subsystem modified with the stiffness multiplier method can perfectly reflect the dynamic characteristics of complex stiffened plates. Moreover, the results of the calculation are identical to those obtained with the finite element method. The stiffness multiplier method is found to be applicable to the construction of the complex structures of the SEA subsystem model.

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Automatic subsystem identification in statistical energy analysis

Cited by 14 publications

References 27 publications

A dual modal formulation for multiple flexural subsystems connected at a junction in energy-based models

A dual modal formulation for multiple flexural subsystems connected at a junction in energy-based models

A subsystem identification method based on the path concept with coupling strength estimation

SEA Subsystem Attribute Correction Based on Stiffness Multipliers

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