An efficient and multi-fidelity reliability-based design optimization method based on a novel surrogate model local update strategy
DOI10.1016/j.cma.2024.117219MaRDI QIDQ6595890
Xiao-Han Liu, Unnamed Author, Jingwei Wu, Guo-Fu Zhai, Jie Deng
Publication date: 30 August 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
surrogate modelreliability-based design optimizationlearning functionlocal updateadaptive the most probable target point
Stochastic programming (90C15) Reliability, availability, maintenance, inspection in operations research (90B25) Technical applications of optics and electromagnetic theory (78A55) Numerical solutions to equations with nonlinear operators (65J15) Optimization problems in solid mechanics (74P99)
This page was built for publication: An efficient and multi-fidelity reliability-based design optimization method based on a novel surrogate model local update strategy