A stochastic surrogate model for time-variant reliability analysis of flexible multibody system

Linjie Kan1, Jianguo Zhang2, Qian Wang3

Science and Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, P. R. China

1Corresponding author

E-mail: 1kanlinjie1985@126.com, 2zjg@buaa.edu.cn, 3wangqian@buaa.edu.cn

Received 29 September 2017; accepted 6 October 2017

DOI https://doi.org/10.21595/vp.2017.19240

 

Abstract. The dynamic model of the flexible multibody systems (FMS) is usually the differential equations with time-variant, high nonlinear and strong coupling characteristics. The traditional reliability models are inefficient to solve these problems. And the reliability model is poor in accuracy and computational efficiency. Based on this point, a new stochastic surrogate model for time-variant reliability analysis of FMS is proposed. Combined model order reduction with generalized polynomial chaos, the stochastic surrogate model is established and the statistical characteristics of system responses are obtained. The calculation method of kinematic time-variant reliability is given. Finally, the effectiveness of the method is verified by a rotating flexible beam. The results show that this method has high computational accuracy compared with Monte Carlo method.

Keywords: flexible multibody system, time-variant reliability analysis, stochastic surrogate model, generalized polynomial chaos, model order reduction.

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Cite this article

Kan Linjie, Zhang Jianguo, Wang Qian A stochastic surrogate model for time‑variant reliability analysis of flexible multibody system. Vibroengineering PROCEDIA, Vol. 14, 2017, p. 340‑346.

 

JVE International Ltd. Vibroengineering PROCEDIA. Oct 2017, Vol. 14. ISSN 2345-0533