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

摘要：

　　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.

关键词： flexible multibody system time-variant reliability analysis stochastic surrogate model generalized polynomial chaos model order reduction

作者: Linjie Kan Jianguo Zhang Qian Wang

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

会议类型: 国际会议

会议名称: The 28th International Conference on Vibroengineering (第28届国际振动工程会议)

会议地点: 北京

会议语种:英文

页码: 340-346

在线出版日期: 2017-10-19（万方平台首次上网日期，不代表论文的发表时间）