Parametric model order reduction and substructuring for optimisation of coupled vibroacoustic systems
Year: 2026
Type: article
Abstract: Fast and accurate simulations are essential for engineering design and optimisation of large, coupled vibroacoustic finite element systems, where model complexity and parameter dependence often make full-order model solutions computationally prohibitive. To address this challenge, this work presents a systematic comparison of parametric model order reduction (PMOR) methods within a dynamic substructuring framework. Global and local PMOR approaches are combined with component mode synthesis, comparing modal and Krylov-based reduction techniques. The methods are applied to structural optimisation tasks on two test models of different scale and complexity: a plate–cavity system, and a water-filled container comprising two coupled vibroacoustic substructures. Results show that integrating substructuring and adaptive sampling with PMOR reduces the computational cost of optimisation by up to 91% while maintaining accuracy, and that the local approach based on interpolation of reduced matrices, combined with Krylov-based component mode synthesis, offers the best efficiency–accuracy trade-off.
Source: Journal of Sound and Vibration
Institution: Technical University of Munich
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,190
OpenAlex ID: W7204440913