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A new interpretation on structural reliability updating with adaptive batch sampling-based subset simulation
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A new interpretation on structural reliability updating with adaptive batch sampling-based subset simulation (2024)A new interpretation on structural reliab…Subset simulation with adaptable intermediate failure probability for robust reliability analysis: an unsupervised learning-based approach (2022)Subset simulation with adapta…BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling (2022)BUAK-AIS: Efficient Bayesian …REAK: Reliability analysis through Error rate-based Adaptive Kriging (2018)REAK: Reliability analysis th…ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods (2018)ESC: an efficient error-based…Reliability analysis and updating of deteriorating systems with subset simulation (2016)Reliability analysis and upda…MCMC algorithms for Subset Simulation (2015)MCMC algorithms for Subset Si…Bayesian Updating with Structural Reliability Methods (2014)Bayesian Updating with Struct…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Reliability updating with equality information (2010)Reliability updating with equ…Bayesian Network Enhanced with Structural Reliability Methods: Methodology (2010)Bayesian Network Enhanced wit…Engineering Design Reliability Handbook (2004)Engineering Design Reliabilit…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…A new adaptive importance sampling scheme for reliability calculations (1999)A new adaptive importance sam…Efficient Algorithm for Second‐Order Reliability Analysis (1991)Efficient Algorithm for Secon…Improvement Of Second‐Order Reliability Estimates by Importance Sampling (1988)Improvement Of Second‐Order R…Structural reliability under combined random load sequences (1978)Structural reliability under …A Beginner's Guide to Structural Equation Modeling (2005)A Single-Loop Approach for System Reliability-Based Design Optimization (2007)Engineering computation under uncertainty – Capabilities of non-traditional models (2007)A review and assessment of importance sampling methods for reliability analysis (2022)Quadratic Limit States in Structural Reliability (1979)Non-Normal Dependent Vectors in Structural Safety (1981)Basic Analysis of Structural Safety (1983)A benchmark study on importance sampling techniques in structural reliability (1993)Important sampling in high dimensions (2002)Review and application of Artificial Neural Networks models in reliability analysis of steel structures (2014)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)Optimization algorithms for structural reliability (1991)A critical appraisal of reliability estimation procedures for high dimensions (2004)Metamodel-based importance sampling for structural reliability analysis (2013)Stochastic Finite Elements: A Spectral Approach (1991)Structural Reliability Methods (1996)Kriging Metamodeling in Simulation: A Review (2007)LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)Exact and Invariant Second-Moment Code Format (1974)Structural Reliability under Incomplete Probability Information (1986)First- and Second-Order Reliability Methods (2004)Active learning for structural reliability: Survey, general framework and benchmark (2022)Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Probability, statistics, and decision for civil engineers (1970)Bayesian inference with Subset Simulation: Strategies and improvements (2017)Bayesian updating and model class selection with Subset Simulation (2017)Structural and System Reliability (2022)10.1007/978-1-4899-4485-6 (2000)Improving the analysis of dependable systems by mapping fault trees into Bayesian networks (2001)Capturing cognitive causal paths in human reliability analysis with Bayesian network models (2016)Simulation and the Monte Carlo Method (2007)Sequential importance sampling for structural reliability analysis (2016)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)
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References

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  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
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  • 2010Reliability updating with equality information153 cited
  • 2016Reliability analysis and updating of deteriorating systems with subset simulation82 cited
  • 2022Subset simulation with adaptable intermediate failure probability for robust reliability analysis: an unsupervised learning-based approach

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  • 2022BUAK-AIS: Efficient Bayesian Updating with Active learning Kriging-based Adaptive Importance Sampling51 cited
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