Parallel efficient global optimization method: A novel approach for time-dependent reliability analysis and applications

作者：

Highlights：

• Parallel efficient global optimization and adaptive Kriging-Monte Carlo simulation were integrated.

• The proposed method outperformed the existing methods in computing efficiency.

• The proposed method showed an excellent accuracy in high-dimension problems.

摘要

•Parallel efficient global optimization and adaptive Kriging-Monte Carlo simulation were integrated.•The proposed method outperformed the existing methods in computing efficiency.•The proposed method showed an excellent accuracy in high-dimension problems.

论文关键词：Time-dependent reliability analysis,Failure probability,Parallel efficient global optimization,Kriging model,Monte Carlo simulation

论文评审过程：Received 13 August 2020, Revised 15 May 2021, Accepted 24 June 2021, Available online 29 June 2021, Version of Record 3 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115494