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High-Dimensional Reliability-Based Design Optimization Involving Highly Nonlinear Constraints and Computationally Expensive Simulations
16 references·4 citing·41 second hop
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this work references cited by second hop

References

  • 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
  • 2004Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design1,106 cited
  • 1999A New Study on Reliability-Based Design Optimization988 cited
  • 2003Hybrid Analysis Method for Reliability-Based Design Optimization613 cited
  • 2004A univariate dimension-reduction method for multi-dimensional integration in stochastic mechanics568 cited
  • 2011Reliability-based design optimization using kriging surrogates and subset simulation450 cited
  • 2004A generalized dimension‐reduction method for multidimensional integration in stochastic mechanics441 cited
  • 2016Bayesian Optimization in a Billion Dimensions via Random Embeddings392 cited
  • 1995Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method383 cited
  • 2016A Single-Loop Kriging Surrogate Modeling for Time-Dependent Reliability Analysis325 cited
  • 2007A Single-Loop Approach for System Reliability-Based Design Optimization231 cited
  • 2007Reliable design space and complete single-loop reliability-based design optimization200 cited
  • 2008Reliability-based design optimization of problems with correlated input variables using a Gaussian Copula

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183 cited
  • 2008Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis179 cited
  • 2007A single-loop method for reliability-based design optimisation160 cited
  • Cited by

    • 2022Uncertainty propagation method for high-dimensional black-box problems via Bayesian deep neural network19 cited
    • 2023Surrogate modeling for high dimensional uncertainty propagation via deep kernel polynomial chaos expansion18 cited
    • 2021A conservative multi-fidelity surrogate model-based robust optimization method for simulation-based optimization13 cited
    • 2019Research on the prediction method of unbalance responses of dual-rotor system based on surrogate models11 cited