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Reliability analysis using a multi-metamodel complement-basis approach
16 references·8 citing·34 second hop
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References

  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 2011AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation2,048 cited
  • 1956Studies in the Economics of Transportation.1,614 cited
  • 2010Adaptive sparse polynomial chaos expansion based on least angle regression1,507 cited
  • 2008Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions1,141 cited
  • 2006A new uncertainty importance measure1,030 cited
  • 2009An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis834 cited
  • 2012A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models692 cited
  • 2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
  • 2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
  • 2015POLYNOMIAL-CHAOS-BASED KRIGING398 cited
  • 2014Review and application of Artificial Neural Networks models in reliability analysis of steel structures392 cited
  • 2017A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis317 cited
  • 2018An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

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308 cited
  • 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
  • 2014Assessment of the efficiency of Kriging surrogate models for structural reliability analysis222 cited
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    • 2024Parallel adaptive ensemble of metamodels combined with hypersphere sampling for rare failure events16 cited
    • 2025Reliability analysis of structures by multiple sparse polynomial chaos expansion based adaptive metamodel15 cited
    • 2024Meta-model based sequential importance sampling method for structural reliability analysis under high dimensional small failure probability14 cited
    • 2025Enhanced Active Learning for Structural Reliability Analysis: An Ensemble SVR Metamodel‐Monte Carlo Approach12 cited
    • 2025Adaptive ensemble of surrogates for efficient fatigue reliability analysis of offshore wind turbines11 cited
    • 2022Metamodel-based metaheuristics in optimal responsive adaptation and recovery of traffic networks7 cited