Stable Model Reduction for Time‐Domain Room Acoustics: A Structure‐Preserving Formulation for Complex Boundaries

ABSTRACT This work presents novel structure‐preserving formulations for stable model order reduction in the context of time‐domain room acoustics simulations. A solution to address the instability in conventional model order reduction formulations based on the Linearized Euler Equations is derived and validated through numerical experiments. For the scenarios presented, the proposed formulation demonstrates 3.5 times speedup in calculating the full‐order model compared to the unstable formulation. A critical stability analysis is performed to identify the eigenvalues of the reduced operator matrices falling on the right half of complex plane along with their out of phase eigen angles as the source of instabilities in the reduced system. The performance of the proposed MOR formulation is tested for perfectly rigid, frequency‐independent, and locally reacting frequency‐dependent boundary conditions in two‐dimensional cases. The study shows that MOR using the stable formulation results in a 100‐fold speedup. The proposed formulation is further evaluated to assess its impact on accuracy, computational speedup, and overall reduction potential of the system.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2026-03-07
DOI
https://doi.org/10.1002/nme.70295
Primary Topic
Model Reduction and Neural Networks
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article
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article

Stable Model Reduction for Time‐Domain Room Acoustics: A Structure‐Preserving Formulation for Complex Boundaries

Satish Kumar Bonthu, Rúnar Unnþórsson, Sölvi Thrastarson, Finnur Pind et al.
International Journal for Numerical Methods in Engineering
Model Reduction and Neural Networks
article

Stable Model Reduction for Time‐Domain Room Acoustics: A Structure‐Preserving Formulation for Complex Boundaries

Satish Kumar Bonthu, Rúnar Unnþórsson, Sölvi Thrastarson, Finnur Pind, Hermes Sampedro Llopis
article en

Abstract

ABSTRACT This work presents novel structure‐preserving formulations for stable model order reduction in the context of time‐domain room acoustics simulations. A solution to address the instability in conventional model order reduction formulations based on the Linearized Euler Equations is derived and validated through numerical experiments. For the scenarios presented, the proposed formulation demonstrates 3.5 times speedup in calculating the full‐order model compared to the unstable formulation. A critical stability analysis is performed to identify the eigenvalues of the reduced operator matrices falling on the right half of complex plane along with their out of phase eigen angles as the source of instabilities in the reduced system. The performance of the proposed MOR formulation is tested for perfectly rigid, frequency‐independent, and locally reacting frequency‐dependent boundary conditions in two‐dimensional cases. The study shows that MOR using the stable formulation results in a 100‐fold speedup. The proposed formulation is further evaluated to assess its impact on accuracy, computational speedup, and overall reduction potential of the system.

International Journal for Numerical Methods in EngineeringVol. 127(5)
University of Iceland (IS), Reykjavík Energy (Iceland) (IS)
Openalex Percentile: Top 30%
Model Reduction and Neural Networks
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Stable Model Reduction for Time‐Domain Room Acoustics: A Structure‐Preserving Formulation for Complex Boundaries — Satish Kumar Bonthu, Rúnar Unnþórsson, et al. · International Journal for Numerical Methods in Engineering (2026) | TGRS Research Map | TGRS