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High-cycle fatigue life prediction for fan blades considering aleatory and epistemic uncertainty with random damage
14 references·0 citing·49 second hop
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References

  • 2008Aleatory or epistemic? Does it matter?2,450 cited
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  • 2023Stochastic Model Updating with Uncertainty Quantification: An Overview and Tutorial142 cited
  • 2006Sensitivity analysis using probability bounding136 cited
  • 2015Quantification of margins and mixed uncertainties using evidence theory and stochastic expansions54 cited
  • 2022Reliability study on the fatigue life of film cooling blades in advanced aero-engine turbines: Neglected crystal orientation uncertainty in casting47 cited
  • 2024Distributed-collaborative surrogate modeling approach for creep-fatigue reliability assessment of turbine blades considering multi-source uncertainty47 cited
  • 2024Robust design optimization of a multi-body system with aleatory and epistemic uncertainty40 cited
  • 2016Fatigue probability assessment including aleatory and epistemic uncertainty with application to gas turbine compressor blades37 cited
  • 2023AGP-MCS+D: An active learning reliability analysis method combining dependent Gaussian process and Monte Carlo simulation36 cited
  • 2020Stochastic analysis and validation under aleatory and epistemic uncertainties35 cited
  • 2023Data‐driven predictive modeling in risk assessment: Challenges and directions for proper uncertainty representation

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29 cited
  • 2023Multicanonical sequential Monte Carlo sampler for uncertainty quantification21 cited
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