[HTML][HTML] Bayesian active learning line sampling with log-normal process for rare-event probability estimation
Line sampling (LS) stands as a powerful stochastic simulation method for structural reliability
analysis, especially for assessing small failure probabilities. To further improve the …
analysis, especially for assessing small failure probabilities. To further improve the …
[HTML][HTML] Partially Bayesian active learning cubature for structural reliability analysis with extremely small failure probabilities
The Bayesian failure probability inference (BFPI) framework provides a well-established
Bayesian approach to quantifying our epistemic uncertainty about the failure probability …
Bayesian approach to quantifying our epistemic uncertainty about the failure probability …
Uniform importance sampling with rejection control for structural reliability analysis
Highly efficient, accurate and robust structural reliability analysis (SRA) method enables a
wide range of engineering applications. In this paper, a novel variance reduction technique …
wide range of engineering applications. In this paper, a novel variance reduction technique …
[HTML][HTML] Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities
The Bayesian failure probability inference (BFPI) framework provides a sound basis for
develo** new Bayesian active learning reliability analysis methods. However, it is still …
develo** new Bayesian active learning reliability analysis methods. However, it is still …
Parallel adaptive ensemble of metamodels combined with hypersphere sampling for rare failure events
F ** criterion for spherical decomposition-based adaptive Kriging model and rare event estimation
Surrogate model-based reliability analysis methods, especially the adaptive Kriging model,
have received increasing attention due to their high accuracy and efficiency for reliability …
have received increasing attention due to their high accuracy and efficiency for reliability …
[HTML][HTML] Efficient probabilistic slope stability analysis using conditional probability-based weighted low-discrepancy simulation
Traditional deterministic slope stability analysis frequently neglects the influence of various
uncertainties inherent in soil properties. Recently, probabilistic analysis has seen great …
uncertainties inherent in soil properties. Recently, probabilistic analysis has seen great …
A meta-heuristic approach for reliability-based design optimization of shell-and-tube heat exchangers
This study introduces a new framework for optimizing Shell-and-Tube Heat Exchanger
(STHE) layouts using a reliability-based design optimization (RBDO) approach. The …
(STHE) layouts using a reliability-based design optimization (RBDO) approach. The …
[HTML][HTML] A dynamic importance function for accidental scenarios generation by RESTART in the computational risk assessment of cyber-physical infrastructures
Abstract The Computational Risk Assessment (CRA) of Cyber-Physical Systems (CPSs)
calls for the analysis of accidental scenarios emerging from the complexities and …
calls for the analysis of accidental scenarios emerging from the complexities and …