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Uncertainty quantification in computational structural dynamics : A new paradigm for model validation
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Uncertainty quantification in computational structural dynamics : A new paradigm for model validation (1998)Uncertainty quantification in computation…Stochastic validation of structural FE-models based on hierarchical cluster analysis and advanced Monte Carlo simulation (2013)Stochastic validation of stru…Comprehensive Framework for Integration of Calibration, Verification and Validation (2012)Comprehensive Framework for I…An Economic Design Change Method (2003)An Economic Design Change Met…Methodology for characterizing modeling and discretization uncertainties in computational simulation (2000)Methodology for characterizin…Risk Effect Minimization Using Flexible Product and Process Design (1999)Risk Effect Minimization Usin…On the Experimental Attainment of Optimum Conditions (1951)Some New Three Level Designs for the Study of Quantitative Variables (1960)Design and Analysis of Computer Experiments (1989)Model Selection in Applied Science and Engineering: A Decision-Theoretic Approach (2007)Monte Carlo techniques in computational stochastic mechanics (1998)Estimation of small failure probabilities in high dimensions by subset simulation (2001)A critical appraisal of reliability estimation procedures for high dimensions (2004)Uncertainty in Engineering (2021)Imprecision in Engineering Design (1995)A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors (1996)Towards a Better Understanding of Modeling Feasibility Robustness in Engineering Design (1999)Definition and Application of a Process Flexibility Index (2003)Decision-Based Design: An Approach for Enterprise-Driven Engineering Design (2012)Measures of agreement between computation and experiment: Validation metrics (2006)Validation and error estimation of computational models (2006)Likelihood-based representation of epistemic uncertainty due to sparse point data and/or interval data (2011)Uncertainty Quantification Using Multi-Level Calibration and Validation Data (2013)Optimal Selection of Calibration and Validation Test Samples Under Uncertainty (2014)Robust Test Resource Allocation using Global Sensitivity Analysis (2016)Multiplicative Utility Functions (1974)Design for Variety: A Methodology for Understanding the Costs of Product Proliferation (1996)
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  • 2013Stochastic validation of structural FE-models based on hierarchical cluster analysis and advanced Monte Carlo simulation23 cited
  • 2003An Economic Design Change Method22 cited
  • 2000Methodology for characterizing modeling and discretization uncertainties in computational simulation18 cited
  • 2012Comprehensive Framework for Integration of Calibration, Verification and Validation17 cited
  • 1999Risk Effect Minimization Using Flexible Product and Process Design9 cited

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