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Model order reduction of time-domain vibro-acoustic finite element simulations with non-locally reacting absorbers

Model order reduction of time-domain vibro-acoustic finite element simulations with non-locally reacting absorbers
Model order reduction of time-domain vibro-acoustic finite element simulations with non-locally reacting absorbers
Time-domain vibro-acoustic finite element simulation gained considerable interest in recent years because of the rise of some applications such as auralization and virtual sensing. Efficiency and stability are of great importance for this topic. The number of elements needed per wavelength to reach acceptable accuracy often results in a large model size, which requires lots of computational resources and cannot run efficiently. Model order reduction can significantly alleviate this problem by reducing the size of these models, while maintaining the high-fidelity property. However, many model order reduction techniques fail to preserve the stability for non-locally reacting absorbers, which are often accounted for by using the Helmholtz equation with frequency-dependent density and bulk modulus, known as the equivalent fluid method. When discretized into a finite element model, frequency-dependent mass and stiffness matrices are introduced, which hinder the preservation of stability in the context of model order reduction. This paper presents a method that enables the creation of a stable reduced order model of a vibro-acoustic system with non-locally absorbers. This method reforms the Helmholtz equation and considers it as the interconnection of several passive systems. Stacking the states of these subsystems gives the final descriptor representation of the non-locally reacting absorbers. Furthermore, a possible second-order representation of the descriptor model is chosen such that it satisfies the stability-preserving condition under model order reduction. The resulting second-order model is coupled with a vibro-acoustic system in a velocity potential-displacement formulation, leading to a second-order model satisfying the aforementioned stability-preserving condition. The proposed method is successfully verified by several numerical simulations.
Science & Technology, Technology, Physical Sciences, Engineering, Multidisciplinary, Mathematics, Interdisciplinary Applications, Mechanics, Engineering, Mathematics, Vibro-acoustics, Finite element method, Non-locally reacting absorbers, Model order reduction, Time domain, IMPEDANCE BOUNDARY-CONDITIONS, DYNAMICAL-SYSTEMS, PROPAGATION, TORTUOSITY, AIR, 01 Mathematical Sciences, 09 Engineering, Applied Mathematics, 40 Engineering, 49 Mathematical sciences
1879-2138
Cai, Yinshan
e3341fdc-12b9-401b-9a24-8b4fb106a462
van Ophem, Sjoerd
bb3fb37e-577b-4152-86bc-2248943f882d
Desmet, Wim
deeaf534-7d83-4644-89cb-aa5fcfb5c73a
Deckers, Elke
d71b1075-d044-4486-b7af-9c2ee32f294f
Cai, Yinshan
e3341fdc-12b9-401b-9a24-8b4fb106a462
van Ophem, Sjoerd
bb3fb37e-577b-4152-86bc-2248943f882d
Desmet, Wim
deeaf534-7d83-4644-89cb-aa5fcfb5c73a
Deckers, Elke
d71b1075-d044-4486-b7af-9c2ee32f294f

Cai, Yinshan, van Ophem, Sjoerd, Desmet, Wim and Deckers, Elke (2023) Model order reduction of time-domain vibro-acoustic finite element simulations with non-locally reacting absorbers. Computer Methods in Applied Mechanics and Engineering, 416, [116345]. (doi:10.1016/j.cma.2023.116345).

Record type: Article

Abstract

Time-domain vibro-acoustic finite element simulation gained considerable interest in recent years because of the rise of some applications such as auralization and virtual sensing. Efficiency and stability are of great importance for this topic. The number of elements needed per wavelength to reach acceptable accuracy often results in a large model size, which requires lots of computational resources and cannot run efficiently. Model order reduction can significantly alleviate this problem by reducing the size of these models, while maintaining the high-fidelity property. However, many model order reduction techniques fail to preserve the stability for non-locally reacting absorbers, which are often accounted for by using the Helmholtz equation with frequency-dependent density and bulk modulus, known as the equivalent fluid method. When discretized into a finite element model, frequency-dependent mass and stiffness matrices are introduced, which hinder the preservation of stability in the context of model order reduction. This paper presents a method that enables the creation of a stable reduced order model of a vibro-acoustic system with non-locally absorbers. This method reforms the Helmholtz equation and considers it as the interconnection of several passive systems. Stacking the states of these subsystems gives the final descriptor representation of the non-locally reacting absorbers. Furthermore, a possible second-order representation of the descriptor model is chosen such that it satisfies the stability-preserving condition under model order reduction. The resulting second-order model is coupled with a vibro-acoustic system in a velocity potential-displacement formulation, leading to a second-order model satisfying the aforementioned stability-preserving condition. The proposed method is successfully verified by several numerical simulations.

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More information

Accepted/In Press date: 2 August 2023
e-pub ahead of print date: 19 August 2023
Published date: 19 August 2023
Keywords: Science & Technology, Technology, Physical Sciences, Engineering, Multidisciplinary, Mathematics, Interdisciplinary Applications, Mechanics, Engineering, Mathematics, Vibro-acoustics, Finite element method, Non-locally reacting absorbers, Model order reduction, Time domain, IMPEDANCE BOUNDARY-CONDITIONS, DYNAMICAL-SYSTEMS, PROPAGATION, TORTUOSITY, AIR, 01 Mathematical Sciences, 09 Engineering, Applied Mathematics, 40 Engineering, 49 Mathematical sciences

Identifiers

Local EPrints ID: 495144
URI: http://eprints.soton.ac.uk/id/eprint/495144
ISSN: 1879-2138
PURE UUID: 923a7ee9-638b-4431-a2b1-f56172a2fa12
ORCID for Sjoerd van Ophem: ORCID iD orcid.org/0000-0003-1050-7318

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Date deposited: 30 Oct 2024 17:48
Last modified: 31 Oct 2024 03:15

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Contributors

Author: Yinshan Cai
Author: Sjoerd van Ophem ORCID iD
Author: Wim Desmet
Author: Elke Deckers

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