AK-\(\mathrm{HR}^n\): an efficient adaptive kriging-based \(n\)-hypersphere rings method for structural reliability analysis
From MaRDI portal
Publication:6116129
DOI10.1016/J.CMA.2023.116146OpenAlexW4381187659MaRDI QIDQ6116129
Dequan Zhang, Qing Li, X. Han, Meide Yang, Yuan Meng, Chuizhou Meng, Dapeng Wang
Publication date: 11 August 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2023.116146
Cites Work
- Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis
- A new learning function for kriging and its applications to solve reliability problems in engineering
- A new reliability method for small failure probability problems by combining the adaptive importance sampling and surrogate models
- Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization
- An advanced mixed-degree cubature formula for reliability analysis
- A novel surrogate-model based active learning method for structural reliability analysis
- An active learning method combining kriging and accelerated chaotic single loop approach (AK-ACSLA) for reliability-based design optimization
- New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization
- A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis
- BUAK-AIS: efficient Bayesian updating with active learning kriging-based adaptive importance sampling
- Optimal sparse polynomial chaos expansion for arbitrary probability distribution and its application on global sensitivity analysis
This page was built for publication: AK-\(\mathrm{HR}^n\): an efficient adaptive kriging-based \(n\)-hypersphere rings method for structural reliability analysis
