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Efficient sampling-based inverse reliability analysis combining Monte Carlo simulation (MCS) and feedforward neural network (FNN)
16 references·1 citing·47 second hopsampled
Efficient sampling-based inverse reliability analysis combining Monte Carlo simulation (MCS) and feedforward neural network (FNN) (2021)Efficient sampling-based inverse reliabil…An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation (2017)An efficient reliability meth…Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions (2016)Reliability Analysis With Mon…Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis (2015)Global sensitivity analysis-e…First order reliability method for time-variant problems using series expansions (2014)First order reliability metho…Sampling-based RBDO using the stochastic sensitivity analysis and Dynamic Kriging method (2011)Sampling-based RBDO using the…Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)Efficient surrogate models fo…A Second-Order Reliability Method With First-Order Efficiency (2010)A Second-Order Reliability Me…System reliability analysis by enhanced Monte Carlo simulation (2009)System reliability analysis b…Reliability analysis of structures using artificial neural network based genetic algorithms (2008)Reliability analysis of struc…Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems (2008)Inverse analysis method using…Reliability analysis of structures using neural network method (2005)Reliability analysis of struc…Reliability-based design optimization for crashworthiness of vehicle side impact (2004)Reliability-based design opti…An Integrated Framework for Optimization Under Uncertainty Using Inverse Reliability Strategy (2004)An Integrated Framework for O…Life-cycle reliability-based optimization of civil and aerospace structures (2003)Life-cycle reliability-based …A new response surface methodology for reliability-based design optimization (2003)A new response surface method…On Latin hypercube sampling for structural reliability analysis (2002)On Latin hypercube sampling f…An effective active learning strategy for reliability-based design optimization under multiple simulation models (2023)An effective active learning …Structural Reliability Theory and Its Applications (1982)A fast and efficient response surface approach for structural reliability problems (1990)Probability, reliability and statistical methods in engineering design (1999)A new artificial neural network-based response surface method for structural reliability analysis (2007)A new adaptive response surface method for reliability analysis (2012)Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants (2020)Application of Structural Systems Reliability Theory (1986)Reliability-based Structural Design (2006)Adaptive surrogate model with active refinement combining Kriging and a trust region method (2017)Risk and Reliability Analysis: Theory and Applications (2017)Structural Reliability Analysis and Prediction (2017)Exact and Invariant Second-Moment Code Format (1974)Methods of structural safety (2006)A novel non-probabilistic reliability-based design optimization algorithm using enhanced chaos control method (2017)Modeling, analysis, and optimization under uncertainties: a review (2021)Quality Engineering Using Robust Design (1991)Analytical Variance-Based Global Sensitivity Analysis in Simulation-Based Design Under Uncertainty (2004)Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design (2005)Dimension reduction method for reliability-based robust design optimization (2007)An efficient response surface method using moving least squares approximation for structural reliability analysis (2010)A comparison of deterministic, reliability-based and risk-based structural optimization under uncertainty (2011)Simulation and the Monte Carlo Method (2016)Surrogate-assisted reliability-based design optimization: a survey and a unified modular framework (2019)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A critical appraisal of reliability estimation procedures for high dimensions (2004)Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges (2010)The generalization of Latin hypercube sampling (2015)Design and Analysis of Computer Experiments (1989)Stochastic Finite Elements: A Spectral Approach (1991)STATISTICS FOR SPATIAL DATA (1992)AK-SYS: An adaptation of the AK-MCS method for system reliability (2013)An active learning kriging model for hybrid reliability analysis with both random and interval variables (2014)A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry (2015)Structural reliability under combined random load sequences (1978)Response Surface Methodology (1996)Enriched Performance Measure Approach for Reliability-Based Design Optimization. (2005)Reliability analysis of structures by iterative improved response surface method (2016)Adaptive approaches in metamodel-based reliability analysis: A review (2020)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Adaptive probability analysis using an enhanced hybrid mean value method (2004)Uniform Design: Theory and Application (2000)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)A review and assessment of importance sampling methods for reliability analysis (2022)Active learning for structural reliability: Survey, general framework and benchmark (2022)
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References

  • 2002On Latin hypercube sampling for structural reliability analysis798 cited
  • 2003A new response surface methodology for reliability-based design optimization404 cited
  • 2004Reliability-based design optimization for crashworthiness of vehicle side impact369 cited
  • 2011Efficient surrogate models for reliability analysis of systems with multiple failure modes290 cited
  • 2017An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation290 cited
  • 2004An Integrated Framework for Optimization Under Uncertainty Using Inverse Reliability Strategy272 cited
  • 2003Life-cycle reliability-based optimization of civil and aerospace structures213 cited
  • 2009System reliability analysis by enhanced Monte Carlo simulation212 cited
  • 2005Reliability analysis of structures using neural network method197 cited
  • 2008Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems186 cited
  • 2015Global sensitivity analysis-enhanced surrogate (GSAS) modeling for reliability analysis185 cited
  • 2014First order reliability method for time-variant problems using series expansions164 cited
  • 2008Reliability analysis of structures using artificial neural network based genetic algorithms158 cited
  • 2011Sampling-based RBDO using the stochastic sensitivity analysis and Dynamic Kriging method

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158 cited
  • 2016Reliability Analysis With Monte Carlo Simulation and Dependent Kriging Predictions145 cited
  • 2010A Second-Order Reliability Method With First-Order Efficiency130 cited
  • Cited by

    • 2023An effective active learning strategy for reliability-based design optimization under multiple simulation models19 cited