Nonparametric probabilistic vibroacoustic analysis with Nastran : a computational tool for estimating the likelihood of automobiles experimental FRF measurements

Justin Reyes 1, 2 Christian Soize 1 Laurent Gagliardini 3 Gianluigi Brogna 4, 2
1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
2 PSA - PSA Peugeot - Citroën
3 PSA Peugeot Citroën
4 LVA - Laboratoire Vibrations Acoustique
Abstract : Improvement of vibroacoustic models prediction capabilities in a probabilistic context requires a adapted metric to compare experimental results with stochasitic computations. The likelihood appears as the natural tool to compare experiments with probabilistic computations as soon as the probability of a given result may be computed. Since vibroacoustic analysis mainly rely on complex Frequency Response Functions ([FRF] = {ω → [FRF(ω)]}) matrices that can be easily measured and computed, the likelihood of such complex and frequency dependent matrices is investigated. A two stage statistical reduction, based on Indepen-dant Components Analysis, is proposed in order to separate statisticaly independent components with complex amplitudes which probability may be computed independently one from each others. Bi-dimensional probability density fonctions of the complex components amplitudes are deduced from a Monte-Carlo simulation of a non-parametric stochastic model, using MSC/NASTRAN. The proposed statistical reduction presents many interesting properties regarding the physical understanding of FRF matrices as well as a numerical aspects.
Keywords : Nonparametric probabilistic uncertainties Vibroacoustic Likelihood Automobiles Experimental FRF measurements
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download
https://hal-upec-upem.archives-ouvertes.fr/hal-01876800
Contributor : Christian Soize <>
Submitted on : Tuesday, September 18, 2018 - 6:55:09 PM
Last modification on : Wednesday, November 20, 2019 - 7:25:12 AM

File

conference-2018-ISMA-Leuven-se...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01876800, version 1

Collections

UPEC-UPEM | CNRS | INSMI | CELYA | INSA-LYON | LVA | MSME_MECA | MSME | INSA-GROUPE | UPEC | UDL

Citation

Justin Reyes, Christian Soize, Laurent Gagliardini, Gianluigi Brogna. Nonparametric probabilistic vibroacoustic analysis with Nastran : a computational tool for estimating the likelihood of automobiles experimental FRF measurements. Conference on Noise and Vibration Engineering (ISMA 2018), Sep 2018, Leuven, Belgium. pp.1-14. ⟨hal-01876800⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

64

Files downloads

64

Contact

Informations

CCSD