Review of Reliability-Based Design Optimization Approach and Its Integration with Bayesian Method

3rd International Conference on Energy Equipment Science and Engineering

Zhang, Xiangnan^1

Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology No.2 Linggong Rd, Ganjingzi District, Dalian City, Liaoning Province

116024, China^1

关键词: Bayesian approaches;    Incomplete information;    Optimal design parameters;    Practical engineering;    Probabilistic theory;    Reliability-based design optimization;    Uncertainty quantifications;    Uncertainty variables;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/128/1/012109/pdf
DOI  :  10.1088/1755-1315/128/1/012109

来源: IOP

【 摘 要 】

A lot of uncertain factors lie in practical engineering, such as external load environment, material property, geometrical shape, initial condition, boundary condition, etc. Reliability method measures the structural safety condition and determine the optimal design parameter combination based on the probabilistic theory. Reliability-based design optimization (RBDO) is the most commonly used approach to minimize the structural cost or other performance under uncertainty variables which combines the reliability theory and optimization. However, it cannot handle the various incomplete information. The Bayesian approach is utilized to incorporate this kind of incomplete information in its uncertainty quantification. In this paper, the RBDO approach and its integration with Bayesian method are introduced.