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Intelligent moving extremum weighted surrogate modeling framework for dynamic reliability estimation of complex structures
13 references·4 citing·47 second hop
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References

  • 2002On Latin hypercube sampling for structural reliability analysis798 cited
  • 1987Second‐Order Reliability Approximations583 cited
  • 2014Review and application of Artificial Neural Networks models in reliability analysis of steel structures392 cited
  • 2010An efficient response surface method using moving least squares approximation for structural reliability analysis192 cited
  • 2020Moving extremum surrogate modeling strategy for dynamic reliability estimation of turbine blisk with multi-physics fields97 cited
  • 2020Reliability analysis and design optimization of nonlinear structures94 cited
  • 2021Probabilistic analyses of structural dynamic response with modified Kriging-based moving extremum framework84 cited
  • 2012Latin hypercube sampling applied to reliability-based multidisciplinary design optimization of a launch vehicle84 cited
  • 2019Improved Decomposed-Coordinated Kriging Modeling Strategy for Dynamic Probabilistic Analysis of Multicomponent Structures83 cited
  • 2015Reliability-based low-cycle fatigue damage analysis for turbine blade with thermo-structural interaction79 cited
  • 2016Second-Order Fourth-Moment Method for Structural Reliability60 cited
  • 2002Second-Order Third-Moment Reliability Method35 cited
  • 2015Transient probabilistic analysis for turbine blade-tip radial clearance with multi-component and multi-physics fields based on DCERSM32 cited

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Cited by

  • 2024Intelligent vectorial surrogate modeling framework for multi-objective reliability estimation of aerospace engineering structural systems24 cited
  • 2023Reliability analysis of reusable turbine rotor blisk: An application of parametric modelling method under multi-field coupling15 cited
  • 2023A unified reliability evaluation framework for aircraft turbine rotor considering multi-site failure correlation14 cited
  • 2023Neural network-based chaotic crossover method for structural reliability analysis considering time-dependent parameters12 cited