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Active learning Kriging approach for creep-fatigue reliability assessment of turbine disk
16 references·0 citing·41 second hopsampled
Active learning Kriging approach for creep-fatigue reliability assessment of turbine disk (2025)Active learning Kriging approach for cree…Vectorial surrogate modeling method for multi-objective reliability design (2022)Vectorial surrogate modeling …IE-AK: A novel adaptive sampling strategy based on information entropy for Kriging in metamodel-based reliability analysis (2022)IE-AK: A novel adaptive sampl…Active extremum Kriging-based multi-level linkage reliability analysis and its application in aeroengine mechanism systems (2022)Active extremum Kriging-based…An integrated reliability approach with improved importance sampling for low-cycle fatigue damage prediction of turbine disks (2020)An integrated reliability app…Adaptive approaches in metamodel-based reliability analysis: A review (2020)Adaptive approaches in metamo…REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis (2019)REIF: A novel active-learning…Dynamic surrogate modeling approach for probabilistic creep-fatigue life evaluation of turbine disks (2019)Dynamic surrogate modeling ap…An active weight learning method for efficient reliability assessment with small failure probability (2019)An active weight learning met…Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics (2018)Reliability based multidiscip…A sequential surrogate method for reliability analysis based on radial basis function (2018)A sequential surrogate method…Zone-based reliability analysis on fatigue life of GH720Li turbine disk concerning uncertainty quantification (2017)Zone-based reliability analys…LIF: A new Kriging based learning function and its application to structural reliability analysis (2016)LIF: A new Kriging based lear…A new learning function for Kriging and its applications to solve reliability problems in engineering (2015)A new learning function for K…AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)AK-MCS: An active learning re…Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions (2008)Efficient Global Reliability …On Latin hypercube sampling for structural reliability analysis (2002)On Latin hypercube sampling f…Structural reliability under combined random load sequences (1978)Stochastic Finite Elements: A Spectral Approach (1991)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Machine learning-based methods in structural reliability analysis: A review (2021)Active learning for structural reliability: Survey, general framework and benchmark (2022)Structural Reliability Methods (1996)Kriging metamodeling in simulation: A review (2007)Metamodel-based importance sampling for structural reliability analysis (2013)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A critical appraisal of reliability estimation procedures for high dimensions (2004)Life-cycle performance, management, and optimisation of structural systems under uncertainty: accomplishments and challenges (2010)The generalization of Latin hypercube sampling (2015)Designs for Computer Experiments (1989)Probability, reliability and statistical methods in engineering design (1999)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. 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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
  • 2002On Latin hypercube sampling for structural reliability analysis798 cited
  • 2016LIF: A new Kriging based learning function and its application to structural reliability analysis444 cited
  • 2015A new learning function for Kriging and its applications to solve reliability problems in engineering400 cited
  • 2019REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis297 cited
  • 2020Adaptive approaches in metamodel-based reliability analysis: A review280 cited
  • 2019An active weight learning method for efficient reliability assessment with small failure probability105 cited
  • 2018A sequential surrogate method for reliability analysis based on radial basis function102 cited
  • 2018Reliability based multidisciplinary design optimization of cooling turbine blade considering uncertainty data statistics74 cited
  • 2019Dynamic surrogate modeling approach for probabilistic creep-fatigue life evaluation of turbine disks72 cited
  • 2017Zone-based reliability analysis on fatigue life of GH720Li turbine disk concerning uncertainty quantification68 cited
  • 2020An integrated reliability approach with improved importance sampling for low-cycle fatigue damage prediction of turbine disks

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65 cited
  • 2022Vectorial surrogate modeling method for multi-objective reliability design61 cited
  • 2022IE-AK: A novel adaptive sampling strategy based on information entropy for Kriging in metamodel-based reliability analysis61 cited
  • 2022Active extremum Kriging-based multi-level linkage reliability analysis and its application in aeroengine mechanism systems45 cited
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