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Fatigue reliability evaluation for impellers with consideration of multi‐source uncertainties using a WOA‐XGBoost surrogate model
11 references·0 citing·52 second hop
Fatigue reliability evaluation for impellers with consideration of multi‐source uncertainties using a WOA‐XGBoost surrogate model (2024)Fatigue reliability evaluation for impell…Uncertainty propagation of flutter derivatives and structural damping in buffeting fragility analysis of long-span bridges using surrogate models (2023)Uncertainty propagation of fl…Surrogate-modeling-assisted creep-fatigue reliability assessment in a low-pressure turbine disc considering multi-source uncertainty (2023)Surrogate-modeling-assisted c…AK-SEUR: An adaptive Kriging-based learning function for structural reliability analysis through sample-based expected uncertainty reduction (2023)AK-SEUR: An adaptive Kriging-…A RBFNN based active learning surrogate model for evaluating low failure probability in reliability analysis (2023)A RBFNN based active learning…Efficient framework for structural reliability analysis based on adaptive ensemble learning paired with subset simulation (2022)Efficient framework for struc…Combined relevance vector machine technique and subset simulation importance sampling for structural reliability (2022)Combined relevance vector mac…An ensemble model‐based method for estimating failure probability function with application in reliability‐based optimization (2022)An ensemble model‐based metho…Efficient structural reliability analysis based on adaptive Bayesian support vector regression (2021)Efficient structural reliabil…An adaptive surrogate model to structural reliability analysis using deep neural network (2021)An adaptive surrogate model t…Rare-event probability estimation with adaptive support vector regression surrogates (2016)Rare-event probability estima…Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Latin hypercube sampling and …The Predictive Sample Reuse Method with Applications (1975)Structural Reliability Methods (1996)Estimation of small failure probabilities in high dimensions by subset simulation (2001)Adaptive surrogate model with active refinement combining Kriging and a trust region method (2017)ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods (2018)Surrogate-assisted global sensitivity analysis: an overview (2020)Empirical Model Building and Response Surfaces (1988)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A new uncertainty importance measure (2006)Survey of sampling-based methods for uncertainty and sensitivity analysis (2006)A Review on Global Sensitivity Analysis Methods (2015)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation (2011)Efficient reliability analysis using prediction-oriented active sparse polynomial chaos expansion (2022)A new active-learning estimation method for the failure probability of structural reliability based on Kriging model and simple penalty function (2023)Adaptive directed support vector machine method for the reliability evaluation of aeroengine structure (2024)Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Structural Reliability Analysis and Prediction (2017)EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis (2022)Adaptive support vector machine for time-variant failure probability function estimation (2024)A survey on machine learning approaches for uncertainty quantification of engineering systems (2025)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Computational methods in optimization considering uncertainties – An overview (2008)Global failure probability function estimation based on an adaptive strategy and combination algorithm (2022)Meta model-based and cross entropy-based importance sampling algorithms for efficiently solving system failure probability function (2024)Meta model-based importance sampling combined with adaptive Kriging method for estimating failure probability function (2024)The PHI2 method: a way to compute time-variant reliability (2003)Assessing small failure probabilities by AK–SS: An active learning method combining Kriging and Subset Simulation (2016)A novel maximum entropy method based on the B-spline theory and the low-discrepancy sequence for complex probability distribution reconstruction (2023)RBIK-SS: A parallel adaptive structural reliability analysis method for rare failure events (2023)Vibration response-based time-variant reliability and sensitivity analysis of rolling bearings using the first-passage method (2024)Importance sampling in structural systems (1989)Assessing small failure probabilities by combined subset simulation and Support Vector Machines (2011)A novel hybrid time-variant reliability analysis method through approximating bound-most-probable point trajectory (2023)AK-UL: An active learning kriging method based on uniform sampling and local refinement for efficient reliability analysis with small failure probability (2025)An improved AK-IS based on the adaptive radial-based importance sampling for reliability analysis (2025)Response‐Surface Approach for Reliability Analysis (1989)Kriging metamodeling in simulation: A review (2007)The generalization of Latin hypercube sampling (2015)Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty (2024)A global sensitivity analysis method for complex mechanisms of aircraft affected by multiple progressive damage (2025)Exact and Invariant Second-Moment Code Format (1974)A novel global prediction framework for multi-response models in reliability engineering using adaptive sampling and active subspace methods (2024)AK-Gibbs: An active learning Kriging model based on Gibbs importance sampling algorithm for small failure probabilities (2024)A theoretically-consistent parallel enrichment strategy for Bayesian active learning reliability analysis (2025)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output From a Computer Code (2000)Efficient Sampling for Non-Intrusive Polynomial Chaos Applications with Multiple Uncertain Input Variables (2007)International Standard Organization (2009)Comparison of probabilistic multivariate wind environment between typhoon and synoptic climate and its propagation in buffeting response for a long-span bridge (2024)Uncertainty propagation of flutter analysis for long-span bridges using probability density evolution method (2024)Flutter uncertainty analysis of flexible photovoltaic support structure considering stochastic aerodynamic and structural parameters (2025)
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References

  • 2003Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems2,707 cited
  • 2016Rare-event probability estimation with adaptive support vector regression surrogates210 cited
  • 2021An adaptive surrogate model to structural reliability analysis using deep neural network119 cited
  • 2021Efficient structural reliability analysis based on adaptive Bayesian support vector regression79 cited
  • 2023Surrogate-modeling-assisted creep-fatigue reliability assessment in a low-pressure turbine disc considering multi-source uncertainty48 cited
  • 2023AK-SEUR: An adaptive Kriging-based learning function for structural reliability analysis through sample-based expected uncertainty reduction40 cited
  • 2022Combined relevance vector machine technique and subset simulation importance sampling for structural reliability38 cited
  • 2023Uncertainty propagation of flutter derivatives and structural damping in buffeting fragility analysis of long-span bridges using surrogate models36 cited
  • 2022An ensemble model‐based method for estimating failure probability function with application in reliability‐based optimization29 cited
  • 2023A RBFNN based active learning surrogate model for evaluating low failure probability in reliability analysis27 cited
  • 2022Efficient framework for structural reliability analysis based on adaptive ensemble learning paired with subset simulation23 cited

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