High-frequency structure- and air-borne sound transmission for a tractor model using Dynamical Energy Analysis

Hartmann, T; Morita, S; Tanner, G; Chappell, DJ

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High-frequency structure- and air-borne sound transmission for a tractor model using Dynamical Energy Analysis

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Hartmann, T, Morita, S, Tanner, G and Chappell, DJ ORCID: https://orcid.org/0000-0001-5819-0271, 2019. High-frequency structure- and air-borne sound transmission for a tractor model using Dynamical Energy Analysis. Wave Motion, 87, pp. 132-150. ISSN 0165-2125

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Official URL: http://doi.org/10.1016/j.wavemoti.2018.09.012

Abstract

Dynamical Energy Analysis (DEA) is a mesh-based high frequency method for modelling structure borne sound in complex built-up structures. Vibro-acoustic simulations are performed directly on finite element meshes, circumventing the need for re-modelling strategies. DEA provides detailed spatial information about the vibrational energy distribution within a complex structure in the mid-to-high frequency range. We will present here progress in the development of the DEA method towards handling complex FE-meshes including Rigid Body Elements and sound radiation. We also provide, for the first time, a detailed comparison of the simulations with measurements on a complex engineering structure consisting of the chassis and cabin of a tractor. Both structure borne vibrations and sound pressure levels (SPL) inside the cabin were considered. For the latter, a combined DEA/SEA analysis has been developed. The simulation results compare favourably with measurement results, both for vibration levels measured across the structure and for SPLs inside the cabin.

Item Type:	Journal article
Publication Title:	Wave Motion
Creators:	Hartmann, T., Morita, S., Tanner, G. and Chappell, D.J.
Publisher:	Elsevier
Date:	April 2019
Volume:	87
ISSN:	0165-2125
Identifiers:	Number Type 10.1016/j.wavemoti.2018.09.012 DOI S0165212518303913 Publisher Item Identifier
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	09 Oct 2018 08:59
Last Modified:	17 Jul 2020 15:10
URI:	https://irep.ntu.ac.uk/id/eprint/34623