Research on reliability-based design optimization method for mixed uncertainty

被引：0
|
作者：
Liu X. [1 ]
Yin Q. [1 ]
Wu Y. [1 ]
Zhao J. [1 ]
机构：
[1] School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2019年 / 47卷 / 03期
关键词：
Joint probability integral method; Kriging response surface; Mixed uncertainty; Reliability design optimization; Stress-strength interference model;
D O I：
10.13245/j.hust.190309
中图分类号：
学科分类号：
摘要：
To solve the realiability-based design optimization problem with uncertain parameters effect which makes it more difficult to calculate the realiability, a reliability index calculation method was proposed for the uncertainty of design variables and parameters at the same time. In this method, the estimation was made based on the Kriging model, the distribution characteristics of the data was calculated, the probability density function was fitted based on sample points, and a unified quantitative expression of the mixed uncertainty was formed. In each itertion of the optimization design, based on the stress-strength interference model of the reliability theory, the reliability of the design point was calculated by the joint probability integral method. And then a reliability based optimiztion design (RBDO) process was built based on the Kriging model for the uncertainty of design variables and the uncertainty of parameters existed at the same time. The calculation results of the typical example show that this method can effectively cope with the impact of parameter uncertainty compared with the case when only exist design variable uncertainty. © 2019, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
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页码：49 / 54
页数：5
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