Reliability Optimization Design Based on Double-Criteria Kriging Model Considering Uncertainties of Distribution Parameters
Author:
Affiliation:
1. Zhejiang University,School of Mechanical Engineering,Hangzhou,China
2. Zhejiang University of Technology,College of Mechanical Engineering,Hangzhou,China
3. Zhejiang University,Ningbo Research Institute,Ningbo,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10067250/10067256/10067557.pdf?arnumber=10067557
Reference19 articles.
1. Machine learning-based methods in structural reliability analysis: A review
2. Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level analyses
3. Reliability-based design optimization with progressive surrogate models
4. Reliability-based design optimization using adaptive surrogate model and importance sampling-based modified SORA method
5. Probabilistic micromechanical spatial variability quantification in laminated composites
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