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Reliability analysis with stratified importance sampling based on adaptive Kriging
16 references·16 citing·30 second hopsampled
Reliability analysis with stratified importance sampling based on adaptive Kriging (2020)Reliability analysis with stratified impo…Structural Reliability Analysis and Prediction (2017)Structural Reliability Analys…Metamodel-based importance sampling for structural reliability analysis (2013)Metamodel-based importance sa…A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models (2012)A combined Importance Samplin…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …Simulation and the Monte Carlo Method (2007)Simulation and the Monte Carl…Application of kriging method to structural reliability problems (2004)Application of kriging method…Reliability-based structural optimization using neural networks and Monte Carlo simulation (2002)Reliability-based structural …Moment methods for structural reliability (2001)Moment methods for structural…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…A new adaptive importance sampling scheme for reliability calculations (1999)A new adaptive importance sam…A new look at the response surface approach for reliability analysis (1993)A new look at the response su…Importance sampling in structural systems (1989)Importance sampling in struct…Designs for Computer Experiments (1989)Designs for Computer Experime…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy (2024)Active Kriging-based conjugat…New learning functions for active learning Kriging reliability analysis using a probabilistic approach: KO and WKO functions (2023)New learning functions for ac…An efficient and versatile Kriging-based active learning method for structural reliability analysis (2023)An efficient and versatile Kr…A novel hybrid adaptive framework for support vector machine-based reliability analysis: A comparative study (2023)A novel hybrid adaptive frame…Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation (2022)Reliability estimation of an …Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification (2022)Limit state Kriging modeling …An expected integrated error reduction function for accelerating Bayesian active learning of failure probability (2022)An expected integrated error …Reliability analysis of structures with multimodal distributions based on direct probability integral method (2021)Reliability analysis of struc…LSTM-augmented deep networks for time-variant reliability assessment of dynamic systems (2021)LSTM-augmented deep networks …Improvement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation (2021)Improvement of the cross-entr…Efficient reliability analysis combining kriging and subset simulation with two-stage convergence criterion (2021)Efficient reliability analysi…Dynamic reliability analysis of mechanical system with wear and vibration failure modes (2021)Dynamic reliability analysis …A fast-convergence algorithm for reliability analysis based on the AK-MCS (2021)A fast-convergence algorithm …Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures (2020)Support vector regression bas…Reliability design and optimization of the planetary gear by a GA based on the DEM and Kriging model (2020)Reliability design and optimi…A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems (2020)A global surrogate model tech…Exact and Invariant Second-Moment Code Format (1974)Response Surface Methodology (1996)Simulation and the Monte Carlo Method (1981)The stochastic finite element method: Past, present and future (2008)The generalization of Latin hypercube sampling (2015)Simulation and the Monte Carlo Method (2016)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)On the Experimental Attainment of Optimum Conditions (1951)A fast and efficient response surface approach for structural reliability problems (1990)On the Experimental Attainment of Optimum Conditions (1992)Support vector machine in structural reliability analysis: A review (2023)Simulation Modeling and Analysis. (1983)Design and Analysis of Computer Experiments (1989)Structural reliability under combined random load sequences (1978)Probability, reliability and statistical methods in engineering design (1999)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Uncertainties in risk analysis: Six levels of treatment (1996)Reliability analysis—a review and some perspectives (2001)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Econometric Tools for Analyzing Market Outcomes (2007)Everything you need to know about agent-based modelling and simulation (2016)A distribution-free approach to inducing rank correlation among input variables (1982)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Uniform Design: Theory and Application (2000)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 2017Structural Reliability Analysis and Prediction3,780 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2007Simulation and the Monte Carlo Method2,454 cited
  • 2001Estimation of small failure probabilities in high dimensions by subset simulation2,419 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 1989Designs for Computer Experiments970 cited
  • 1993A new look at the response surface approach for reliability analysis733 cited
  • 2004Application of kriging method to structural reliability problems709 cited
  • 2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
  • 2001Moment methods for structural reliability633 cited
  • 1989Importance sampling in structural systems604 cited
  • 1999A new adaptive importance sampling scheme for reliability calculations564 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2013
Metamodel-based importance sampling for structural reliability analysis
535 cited
  • 2002Reliability-based structural optimization using neural networks and Monte Carlo simulation516 cited
  • Cited by

    • 2024Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy110 cited
    • 2020Support vector regression based metamodel by sequential adaptive sampling for reliability analysis of structures107 cited
    • 2022An expected integrated error reduction function for accelerating Bayesian active learning of failure probability79 cited
    • 2022Limit state Kriging modeling for reliability-based design optimization through classification uncertainty quantification66 cited
    • 2020Reliability design and optimization of the planetary gear by a GA based on the DEM and Kriging model65 cited
    • 2020A global surrogate model technique based on principal component analysis and Kriging for uncertainty propagation of dynamic systems62 cited
    • 2023A novel hybrid adaptive framework for support vector machine-based reliability analysis: A comparative study57 cited
    • 2021LSTM-augmented deep networks for time-variant reliability assessment of dynamic systems48 cited
    • 2021Dynamic reliability analysis of mechanical system with wear and vibration failure modes47 cited
    • 2021Reliability analysis of structures with multimodal distributions based on direct probability integral method46 cited
    • 2021A fast-convergence algorithm for reliability analysis based on the AK-MCS39 cited
    • 2021Efficient reliability analysis combining kriging and subset simulation with two-stage convergence criterion36 cited
    • 2021Improvement of the cross-entropy method in high dimension for failure probability estimation through a one-dimensional projection without gradient estimation36 cited
    • 2023New learning functions for active learning Kriging reliability analysis using a probabilistic approach: KO and WKO functions34 cited
    • 2023An efficient and versatile Kriging-based active learning method for structural reliability analysis34 cited
    • 2022Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation33 cited