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Stochastic analysis and validation under aleatory and epistemic uncertainties
16 references·10 citing·41 second hop
Stochastic analysis and validation under aleatory and epistemic uncertainties (2020)Stochastic analysis and validation under …Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Integration of model verifica…Quantitative model validation techniques: New insights (2012)Quantitative model validation…Toward a Better Understanding of Model Validation Metrics (2011)Toward a Better Understanding…Model validation under epistemic uncertainty (2011)Model validation under episte…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…Verification and Validation in Scientific Computing (2010)Verification and Validation i…Validation of imprecise probability models (2009)Validation of imprecise proba…Uncertainty Analysis Based on Probability Bounds (P‐Box) Approach in Probabilistic Safety Assessment (2009)Uncertainty Analysis Based on…Efficient Random Field Uncertainty Propagation in Design Using Multiscale Analysis (2009)Efficient Random Field Uncert…Aleatory or epistemic? Does it matter? (2008)Aleatory or epistemic? Does i…Sensitivity Analysis with Mixture of Epistemic and Aleatory Uncertainties (2007)Sensitivity Analysis with Mix…Model validation and predictive capability for the thermal challenge problem (2007)Model validation and predicti…An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)An exploration of alternative…An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)An exploration of alternative…Error and uncertainty in modeling and simulation (2002)Error and uncertainty in mode…An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties (2002)An approximate epistemic unce…High-cycle fatigue life prediction for fan blades considering aleatory and epistemic uncertainty with random damage (2025)High-cycle fatigue life predi…An integrated framework for reliability analysis and design optimization using input, simulation, and experimental data: Confidence-based design optimization under aleatory and epistemic uncertainty (2025)An integrated framework for r…A double-loop adaptive Kriging-based robust design optimization method with aleatory and epistemic uncertainty (2025)A double-loop adaptive Krigin…An efficient uncertainty propagation method for nonlinear dynamics with distribution-free P-box processes (2024)An efficient uncertainty prop…An efficient system reliability analysis method for flap mechanism under random-interval hybrid uncertainties (2024)An efficient system reliabili…Uncertainty modeling and applications for operating data-driven inverse design (2023)Uncertainty modeling and appl…Stochastic multiscale modeling for quantifying statistical and model errors with application to composite materials (2023)Stochastic multiscale modelin…Robustness evaluation of the reliability of penstocks combining line sampling and neural networks (2023)Robustness evaluation of the …Hybrid reliability analysis with incomplete interval data based on adaptive Kriging (2023)Hybrid reliability analysis w…An efficient uncertainty quantification and propagation method through skewness and kurtosis fitting region (2023)An efficient uncertainty quan…Handbook of human-reliability analysis with emphasis on nuclear power plant applications. 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this work references cited by second hop

References

  • 2008Aleatory or epistemic? Does it matter?2,450 cited
  • 2010Verification and Validation in Scientific Computing1,551 cited
  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2002Error and uncertainty in modeling and simulation629 cited
  • 2004An exploration of alternative approaches to the representation of uncertainty in model predictions362 cited
  • 2007Model validation and predictive capability for the thermal challenge problem322 cited
  • 2004An exploration of alternative approaches to the representation of uncertainty in model predictions284 cited
  • 2002An approximate epistemic uncertainty analysis approach in the presence of epistemic and aleatory uncertainties180 cited
  • 2011Toward a Better Understanding of Model Validation Metrics175 cited
  • 2012Quantitative model validation techniques: New insights137 cited
  • 2007Sensitivity Analysis with Mixture of Epistemic and Aleatory Uncertainties129 cited
  • 2015Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems123 cited
  • 2009Uncertainty Analysis Based on Probability Bounds (P‐Box) Approach in Probabilistic Safety Assessment121 cited
  • 2009Validation of imprecise probability models107 cited

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  • 2011Model validation under epistemic uncertainty95 cited
  • 2009Efficient Random Field Uncertainty Propagation in Design Using Multiscale Analysis72 cited
  • Cited by

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    • 2025High-cycle fatigue life prediction for fan blades considering aleatory and epistemic uncertainty with random damage18 cited
    • 2023An efficient uncertainty quantification and propagation method through skewness and kurtosis fitting region15 cited
    • 2024An efficient uncertainty propagation method for nonlinear dynamics with distribution-free P-box processes10 cited
    • 2025An integrated framework for reliability analysis and design optimization using input, simulation, and experimental data: Confidence-based design optimization under aleatory and epistemic uncertainty9 cited
    • 2024An efficient system reliability analysis method for flap mechanism under random-interval hybrid uncertainties7 cited
    • 2023Robustness evaluation of the reliability of penstocks combining line sampling and neural networks7 cited
    • 2023Uncertainty modeling and applications for operating data-driven inverse design7 cited
    • 2025A double-loop adaptive Kriging-based robust design optimization method with aleatory and epistemic uncertainty6 cited