Reliability assessment of automotive components under fatigue using numerical simulation and accelerated testing - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

Reliability assessment of automotive components under fatigue using numerical simulation and accelerated testing

(1) , (1) , (1) , (2) , ,
1
2

Résumé

In this paper, a Stochastic Response Surface (SRS) approach based on Polynomial Chaos Expansion (PCE) is used to conduct reliability analysis of automotive components subjected to fatigue loading. The PCE coefficients have been computed by regression analysis based on a quasi-random experimental design. In addition, an efficient truncation technique, namely low-rank index sets, has been used to reduce the number of unknown coefficients to be estimated, and consequently to reduce the number of finite element model calls required for the construction of the PCE. Once the PCE is obtained, the probability of failure for a target fatigue life is estimated by applying Monte-Carlo simulations. At the same time, fatigue accelerated testing are conducted on full scale automotive component to obtain experimental predictions of the structural reliability. The estimates of the probability of failure are in good agreement with those obtained by numerical computations based on PCE and Monte-Carlo simulations.
Fichier non déposé

Dates et versions

hal-02531709 , version 1 (03-04-2020)

Identifiants

  • HAL Id : hal-02531709 , version 1

Citer

Rodrigue Sohoin, Hassen Riahi, Fabrice Guérin, Abdelkhalak El-Hami, Sandra Bidet, et al.. Reliability assessment of automotive components under fatigue using numerical simulation and accelerated testing. 51st ESReDA Seminar on Maintenance and Life Cycle Assessment of Structures and Industrial Systems, Oct 2016, Clermont-Ferrand, France. ⟨hal-02531709⟩
17 Consultations
0 Téléchargements

Partager

Gmail Facebook Twitter LinkedIn More