Vectorial surrogate modeling method based on moving kriging model for system reliability analysis
DOI10.1016/j.cma.2024.117409MaRDI QIDQ6643570
Zhen-Ao Li, Xiao-Wei Dong, Chunyan Zhu, Changhai Chen, Hao Zhang
Publication date: 26 November 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
moving least squaresreliability analysiskriging modelvectorial surrogate modelingmulti-failure structures
Nonparametric regression and quantile regression (62G08) Mathematical modeling or simulation for problems pertaining to mechanics of deformable solids (74-10)
Cites Work
- A novel reliability-based design method based on quantile-based first-order second-moment
- Error estimates for the moving least-square approximation and the element-free Galerkin method in \(n\)-dimensional spaces
- Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis
- EMCS-SVR: hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis
- A feature-driven robust topology optimization strategy considering movable non-design domain and complex uncertainty
- Vectorial surrogate modeling method for multi-objective reliability design
- Reliability optimization of two-link flexible manipulator
- A new direct second-order reliability analysis method
- Portfolio allocation strategy for active learning kriging-based structural reliability analysis
- EMR-SSM: synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation
This page was built for publication: Vectorial surrogate modeling method based on moving kriging model for system reliability analysis
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6643570)
