Structural-acoustic modeling of automotive vehicles in presence of uncertainties and experimental identification and validation

Abstract

The design of cars is mainly based on the use of computational models to analyze structural vibrations and internal acoustic levels. Considering the very high complexity of such structural-acoustic systems, and in order to improve the robustness of such computational structural-acoustic models, both model uncertainties and data uncertainties must be taken into account. In this context, a probabilistic approach of uncertainties is implemented in an adapted computational structural-acoustic model. The two main problems are the experimental identification of the parameters controlling the uncertainty levels and the experimental validation. Relevant experiments have especially been developed for this research in order to constitute an experimental database devoted to structural vibrations and internal acoustic pressures. This database is used to perform the experimental identification of the probability model parameters and to validate the stochastic computational model.

Multilevel reduced-order computational model in structural dynamics for the low- and medium-frequency ranges

“…7 to 11 that a reason-able accuracy is obtained for a ROM dimension of about 500, which has to be compared to the reference-ROM dimension of about 1, 500. With respect to the residual errors induced by the use of the proposed global-displacements ROM of reasonable small dimension, it should be noted that the experimental variabilities of the FRFs of such a complex structure [25,26] are more important than these residual errors. …”

Advances in Vibroacoustics and Aeroacustics of Aerospace and Automotive Systems

“…On the other hand, the finite element method has gained attention, as in [9] where a finite element structural acoustic model of a car has been made.…”

Stability and Response Analysis of a Pipe With Internal Flow Analyzed With an Uncertain Computational Model

“…In order to endow the model with an improved capacity of describing the fluid-structure coupling, a probabilistic model relying upon the nonparametric approach for uncertainties introduced in [9] is proposed. That approach has been applied in many different areas [1,10,11] to cope with uncertainties arising from different sources along the modeling process.…”