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Combined dimensionality reduction based adaptive polynomial chaos expansion for high-dimensional reliability analysis
16 references·0 citing·41 second hop
Combined dimensionality reduction based adaptive polynomial chaos expansion for high-dimensional reliability analysis (2025)Combined dimensionality reduction based a…Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy (2024)Active Kriging-based conjugat…Support vector machine in structural reliability analysis: A review (2023)Support vector machine in str…Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review (2023)Monte Carlo and variance redu…Machine learning-based methods in structural reliability analysis: A review (2021)Machine learning-based method…Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (2020)Proceedings of the 30th Europ…Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis (2020)Kernel principal component an…Active sparse polynomial chaos expansion for system reliability analysis (2020)Active sparse polynomial chao…Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation (2019)Principal component analysis …An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis (2018)An active-learning algorithm …Rare Event Estimation Using Polynomial-Chaos Kriging (2016)Rare Event Estimation Using P…First and second order approximate reliability analysis methods using evidence theory (2015)First and second order approx…A response surface approach for structural reliability analysis using evidence theory (2014)A response surface approach f…DIMENSIONALITY REDUCTION FOR COMPLEX MODELS VIA BAYESIAN COMPRESSIVE SENSING (2013)DIMENSIONALITY REDUCTION FOR …AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Efficient computation of global sensitivity indices using sparse polynomial chaos expansions (2010)Efficient computation of glob…Estimation of small failure probabilities in high dimensions by subset simulation (2001)Estimation of small failure p…Exact and Invariant Second-Moment Code Format (1974)A mathematical theory of evidence (1977)Structural reliability under combined random load sequences (1978)Structural reliability analysis for p-boxes using multi-level meta-models (2017)Non-intrusive stochastic analysis with parameterized imprecise probability models: I. 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References

  • 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
  • 2023Support vector machine in structural reliability analysis: A review507 cited
  • 2010Efficient computation of global sensitivity indices using sparse polynomial chaos expansions383 cited
  • 2021Machine learning-based methods in structural reliability analysis: A review370 cited
  • 2018An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis308 cited
  • 2016Rare Event Estimation Using Polynomial-Chaos Kriging279 cited
  • 2023Monte Carlo and variance reduction methods for structural reliability analysis: A comprehensive review234 cited
  • 2013DIMENSIONALITY REDUCTION FOR COMPLEX MODELS VIA BAYESIAN COMPRESSIVE SENSING190 cited
  • 2015First and second order approximate reliability analysis methods using evidence theory145 cited
  • 2024Active Kriging-based conjugate first-order reliability method for highly efficient structural reliability analysis using resample strategy110 cited
  • 2019Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: Application to urban drainage simulation91 cited
  • 2020Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis

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85 cited
  • 2020Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference77 cited
  • 2014A response surface approach for structural reliability analysis using evidence theory72 cited
  • 2020Active sparse polynomial chaos expansion for system reliability analysis71 cited
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