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Time-dependent dynamical energy analysis via convolution quadrature.

Authors :
Chappell, David J.
Source :
Journal of Computational Physics. Oct2024, Vol. 515, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Dynamical Energy Analysis was introduced in 2009 as a novel method for predicting high-frequency acoustic and vibrational energy distributions in complex engineering structures. In this paper we introduce the first time-dependent Dynamical Energy Analysis method. Time-domain models are important in numerous applications including sound simulation in room acoustics, predicting shock-responses in structural mechanics and modelling electromagnetic scattering from conductors. The first step is to reformulate Dynamical Energy Analysis in the time-domain by means of a convolution integral operator. We are then able to employ the Convolution Quadrature method to provide a link between the previous frequency-domain implementations of Dynamical Energy Analysis and fully time-dependent solutions by means of the Z -transform. By combining a modified multistep Convolution Quadrature approach for the time discretisation, together with Galerkin and Petrov-Galerkin methods for the space and momentum discretisations, respectively, we are able to accurately track the propagation of high-frequency transient signals through phase-space. The implementation here is detailed for finite two-dimensional spatial domains and we demonstrate the versatility of our approach by performing a range of numerical experiments for regular, non-convex and irregular geometries as well as different types of wave source. • A new method to track the propagation of transient high-frequency wave energy. • The method can handle a wide range of geometries, including multi-domain problems. • A modified convolution quadrature approach achieves superconvergence. • The method shows potential for extension to vectorial wave problems and from 2D to 3D. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00219991
Volume :
515
Database :
Academic Search Index
Journal :
Journal of Computational Physics
Publication Type :
Academic Journal
Accession number :
179234963
Full Text :
https://doi.org/10.1016/j.jcp.2024.113274