@inproceedings{f46b5e0219514d6087bf12f03f3d0aef,
title = "Motion reliability analysis for mechanism based on efficient polynomial chaos",
abstract = "Using the limit state function of complex mechanism fitted by polynomial chaos (PC) for reliability analysis, it can effectively improve the efficiency of the calculation under the premise of ensuring accuracy. In the traditional construction process of Polynomial Chaos Expansion (PCE), Gaussian integral method is used to find the collocation points. However, the number of Gaussian integration points increases exponentially with the dimension of the variable, and only some Gaussian points are extracted, which reduces the fitting accuracy. In view of the above problems, the paper first proposes an efficient method to construct PCE, using the integration point of the Monomial Cubature Rules (MCR) and the polynomial chaos coefficients are solved by regression. Then, based on the PCE, the mechanism reliability analysis method is proposed to calculate the reliability of the mechanism. Finally, the paper verifies the accuracy and feasibility of the method by numerical and engineering cases.",
keywords = "Integration point, Mechanism, Monomial cubature rules, Motion reliability, Polynomial chaos",
author = "Sun, \{Jing Yi\} and Zhang, \{Jian Guo\}",
year = "2017",
language = "英语",
series = "Conference Proceedings of the 5th International Symposium on Project Management, ISPM 2017",
publisher = "Aussino Academic Publishing House",
pages = "92--104",
editor = "Cheng, \{Chang Bo\} and Henry Zhang",
booktitle = "Conference Proceedings of the 5th International Symposium on Project Management, ISPM 2017",
note = "5th International Symposium on Project Management, ISPM 2017 ; Conference date: 22-07-2017 Through 23-07-2017",
}