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Time-domain impedance boundary conditions for acoustic reduced order finite element simulations

Time-domain impedance boundary conditions for acoustic reduced order finite element simulations
Time-domain impedance boundary conditions for acoustic reduced order finite element simulations
Transient responses impose additional restrictions concerning model order reduction of acoustic finite element systems. Time-stable model order reduction methods achieve model compaction while guaranteeing frequency domain models transform in a physically meaningful way. Efficiency and stability are of course of little consequence if the model is rendered inaccurate. Krylov subspaces inherently include system input and/or output behavior in the reduction basis making them ideal reduction bases for investigating system behavior outside of steady state. Realistic boundary conditions are demanded and must be preserved in the reduction basis. Frequency dependent impedance boundary conditions help in this regard but complicate both model reduction and time-integration strategies. Multiplications to enforce system damping in the frequency domain become time-domain convolutions. Recursively calculated minimal memory convolution formulations have long proven useful in lowering the associated computational burden. Complex frequency-dependent damping matrices create a challenge for Krylov subspace based model reduction due to the way the reduction basis is constructed. Arnoldi iterations implicitly match the moments of the system transfer function to span a Krylov subspace. This paper demonstrates how to maintain compatibility with such algorithms while including frequency dependent damping. This work proposes combining projection based model order reduction with an efficient time domain impedance boundary condition formulation. An important benefit of working in the time domain is the ability to directly output binaural audio signals. To this end, discrepancies are discussed in the perceptual context of audibility. A reduction of system degrees of freedom from NDOF = 13125 to RDOF = 63 and the inclusion of time-domain impedance boundary conditions are shown to enable computational speedups by a factor of 11–36 without introducing audible differences.
Science & Technology, Technology, Physical Sciences, Engineering, Multidisciplinary, Mathematics, Interdisciplinary Applications, Mechanics, Engineering, Mathematics, TDIBC, FEM, Transient, Acoustic, MOR, REDUCTION, SYSTEMS, IMPLEMENTATION, APPROXIMATION, 01 Mathematical Sciences, 09 Engineering, Applied Mathematics, 40 Engineering, 49 Mathematical sciences
1879-2138
Miller III, M.
9a1a9915-febc-46b6-98cd-abd16871f583
van Ophem, S.
bb3fb37e-577b-4152-86bc-2248943f882d
Deckers, E.
d71b1075-d044-4486-b7af-9c2ee32f294f
Desmet, W.
deeaf534-7d83-4644-89cb-aa5fcfb5c73a
Miller III, M.
9a1a9915-febc-46b6-98cd-abd16871f583
van Ophem, S.
bb3fb37e-577b-4152-86bc-2248943f882d
Deckers, E.
d71b1075-d044-4486-b7af-9c2ee32f294f
Desmet, W.
deeaf534-7d83-4644-89cb-aa5fcfb5c73a

Miller III, M., van Ophem, S., Deckers, E. and Desmet, W. (2021) Time-domain impedance boundary conditions for acoustic reduced order finite element simulations. Computer Methods in Applied Mechanics and Engineering, 387, [114173]. (doi:10.1016/j.cma.2021.114173).

Record type: Article

Abstract

Transient responses impose additional restrictions concerning model order reduction of acoustic finite element systems. Time-stable model order reduction methods achieve model compaction while guaranteeing frequency domain models transform in a physically meaningful way. Efficiency and stability are of course of little consequence if the model is rendered inaccurate. Krylov subspaces inherently include system input and/or output behavior in the reduction basis making them ideal reduction bases for investigating system behavior outside of steady state. Realistic boundary conditions are demanded and must be preserved in the reduction basis. Frequency dependent impedance boundary conditions help in this regard but complicate both model reduction and time-integration strategies. Multiplications to enforce system damping in the frequency domain become time-domain convolutions. Recursively calculated minimal memory convolution formulations have long proven useful in lowering the associated computational burden. Complex frequency-dependent damping matrices create a challenge for Krylov subspace based model reduction due to the way the reduction basis is constructed. Arnoldi iterations implicitly match the moments of the system transfer function to span a Krylov subspace. This paper demonstrates how to maintain compatibility with such algorithms while including frequency dependent damping. This work proposes combining projection based model order reduction with an efficient time domain impedance boundary condition formulation. An important benefit of working in the time domain is the ability to directly output binaural audio signals. To this end, discrepancies are discussed in the perceptual context of audibility. A reduction of system degrees of freedom from NDOF = 13125 to RDOF = 63 and the inclusion of time-domain impedance boundary conditions are shown to enable computational speedups by a factor of 11–36 without introducing audible differences.

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More information

Accepted/In Press date: 3 September 2021
e-pub ahead of print date: 24 September 2021
Published date: 24 September 2021
Keywords: Science & Technology, Technology, Physical Sciences, Engineering, Multidisciplinary, Mathematics, Interdisciplinary Applications, Mechanics, Engineering, Mathematics, TDIBC, FEM, Transient, Acoustic, MOR, REDUCTION, SYSTEMS, IMPLEMENTATION, APPROXIMATION, 01 Mathematical Sciences, 09 Engineering, Applied Mathematics, 40 Engineering, 49 Mathematical sciences

Identifiers

Local EPrints ID: 495152
URI: http://eprints.soton.ac.uk/id/eprint/495152
ISSN: 1879-2138
PURE UUID: 90d49d00-276b-43ff-9266-b56ba72749df
ORCID for S. van Ophem: ORCID iD orcid.org/0000-0003-1050-7318

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Date deposited: 30 Oct 2024 17:55
Last modified: 31 Oct 2024 03:15

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Contributors

Author: M. Miller III
Author: S. van Ophem ORCID iD
Author: E. Deckers
Author: W. Desmet

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