An active learning Kriging model with approximating parallel strategy for structural reliability analysis
Authors:
- Yuan MengYMYuan Meng
- Dequan ZhangDZDequan Zhang
- Baojun ShiBSBaojun Shi
- Dapeng WangDWDapeng Wang
- Fang WangFWFang Wang
Top Cited Papers
- 24 March 2024
- journal article
- research article
- Published by Elsevier in Reliability Engineering & System Safety
- Vol. 247
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China
This publication has 50 references indexed in Scilit:
- Moment Estimation-Based Method of Motion Accuracy Reliability Analysis for Industrial Robots2023
- Efficient adaptive Kriging-based reliability analysis combining new learning function and error-based stopping criterionStructural and Multidisciplinary Optimization, 2020
- A multi-fidelity surrogate model based on support vector regressionStructural and Multidisciplinary Optimization, 2020
- Parallelized multiobjective efficient global optimization algorithm and its applicationsStructural and Multidisciplinary Optimization, 2020
- An active weight learning method for efficient reliability assessment with small failure probabilityStructural and Multidisciplinary Optimization, 2019
- A coupled subset simulation and active learning kriging reliability analysis method for rare failure eventsStructural and Multidisciplinary Optimization, 2019
- An efficient Kriging-based subset simulation method for hybrid reliability analysis under random and interval variables with small failure probabilityStructural and Multidisciplinary Optimization, 2019
- ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methodsStructural and Multidisciplinary Optimization, 2018
- An importance learning method for non-probabilistic reliability analysis and optimizationStructural and Multidisciplinary Optimization, 2018
- An active learning kriging model for hybrid reliability analysis with both random and interval variablesStructural and Multidisciplinary Optimization, 2014