Abstract
The present paper reviews the vibro-acoustic modelling of extruded aluminium train floor structures including the state-of-the-art of its industrial applications, as well as the most recent developments on mid-frequency modelling techniques in general. With the common purpose to predict mid-frequency vibro-acoustic responses of stiffened panel structures to an acceptable accuracy at a reasonable computational cost, relevant techniques are mainly based on one of the following three types of mid-frequency vibro-acoustic modelling principles: (1) enhanced deterministic methods, (2) enhanced statistical methods, and (3) hybrid deterministic/statistical methods. It is shown that, although recent developments have led to a significant step forward in industrial applicability, mature and adequate prediction techniques, however, are still very much required for solving sound transmission through, and radiation from, extruded aluminium panels used on high-speed trains. Due to their great potentials for predicting mid-frequency vibro-acoustics of stiffened panel structures, two of recently developed mid-frequency modelling approaches, i.e. the so-called hybrid finite element-statistical energy analysis (FE-SEA) and hybrid wave-based method-statistical energy analysis (WBM-SEA), are then recapitulated.
Original language | English |
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Pages (from-to) | 159-168 |
Number of pages | 10 |
Journal | Journal of Modern Transportation |
Volume | 23 |
Issue number | 3 |
DOIs | |
Publication status | Published - 9 Jul 2015 |
Externally published | Yes |
Bibliographical note
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.Keywords
- Mid-frequency vibro-acoustic modelling
- Extruded aluminium panels
- Wave- and modal-based analytical methods
- Element-based numerical methods
- Hybrid deterministic-statistical methods