Reduced Basis Approximation for the Structural-Acoustic Design based on Energy Finite Element Analysis (RB-EFEA)

Journal: 

CEMRACS 2013 – Modelling and simulation of complex systems: stochastic and deterministic approaches), vol. 48, p. pp. 98–115

Date: 

2015

Authors: 

D. Devaud and G. Rozza

In many engineering applications, the investigation of the vibro-acoustic response of structures is of great interest. Hence, great effort has been dedicated to improve methods in this field in the last twenty years. Classical techniques have the main drawback that they become unaffordable when high frequency impact waves are considered. In that sense, the Energy Finite Element Analysis (EFEA) is a good alternative to those methods. Based on an approximate model, EFEA gives time and locally space-averaged energy densities and has been proven to yield accurate results.

However, when dealing with structural-acoustic design, it is necessary to obtain the energy density varying a large number of parameters. It is computationally unaffordable and too expensive to compute such solutions for each set of parameters. To prevent this drawback, we introduce a reduced order model which allows to drastically decrease those computational costs, while yielding a reliable and accurate approximation. In this paper, we present an approximation of the EFEA solution considering the Reduced Basis (RB) method. The RB method has already been applied successfully to many different problems. A complete development of this procedure in the context of EFEA is introduced here. Numerical tests and examples are provided for both geometrical and physical parameters.

@inbook{DevaudRozza2013,
chapter = {Reduced Basis Approximation for the Structural-Acoustic Design based on Energy Finite Element Analysis (RB-EFEA)},
booktitle = {CEMRACS 2013 - Modelling and simulation of complex systems: stochastic and deterministic approaches},
volume = {48},
number = {ESAIM Proceedings},
year = {2015},
pages = {98--115},
doi = {http://dx.doi.org/10.1051/proc/201448004},
author = {Denis Devaud and Gianluigi Rozza}
}

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