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Bi-fidelity Kriging model for reliability analysis of the ultimate strength of stiffened panels
16 references·1 citing·40 second hop
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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
  • 1990A fast and efficient response surface approach for structural reliability problems1,198 cited
  • 1993A new look at the response surface approach for reliability analysis733 cited
  • 2011Assessing small failure probabilities by combined subset simulation and Support Vector Machines419 cited
  • 2015MCMC algorithms for Subset Simulation413 cited
  • 2014Review and application of Artificial Neural Networks models in reliability analysis of steel structures392 cited
  • 1997Uncertainties in probabilistic numerical analysis of structures and solids-Stochastic finite elements354 cited
  • 2014Assessment of the efficiency of Kriging surrogate models for structural reliability analysis222 cited
  • 2005Reliability analysis of structures using neural network method197 cited
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  • 2007A comparison of approximate response functions in structural reliability analysis158 cited
  • 2006Filtered importance sampling with support vector margin: A powerful method for structural reliability analysis126 cited
  • 2020An active learning Kriging model combined with directional importance sampling method for efficient reliability analysis

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57 cited
  • 2020A novel multi-fidelity modelling-based framework for reliability-based design optimisation of composite structures54 cited
  • 2021Adaptive reliability analysis for multi-fidelity models using a collective learning strategy39 cited
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    • 2025An active-learning method based on hierarchical Kriging model for multi-fidelity reliability analysis9 cited