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Assessment of structural simulation models by estimating uncertainties due to model selection and model simplification
10 references·7 citing·37 second hop
Assessment of structural simulation models by estimating uncertainties due to model selection and model simplification (2011)Assessment of structural simulation model…A Bayesian approach for quantification of model uncertainty (2010)A Bayesian approach for quant…Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Variance based sensitivity an…Global Sensitivity Analysis. The Primer (2007)Global Sensitivity Analysis. …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Asymptotic Expansions for Reliability and Moments of Uncertain Systems (1997)Asymptotic Expansions for Rel…Importance measures in global sensitivity analysis of nonlinear models (1996)Importance measures in global…Fuzzy sets (1996)Fuzzy setsGlobal Sensitivity Analysis (1995)Global Sensitivity AnalysisA Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…Fuzzy sets (1965)Fuzzy setsQuantifying the uncertainties in modeling soft composites via a multiscale approach (2022)Quantifying the uncertainties…Combining integral transform and a generalized probabilistic approach of uncertainties to quantify model-parameter and model uncertainties in computational structural dynamics: The stochastic GITT method (2021)Combining integral transform …Global sensitivity analysis for multivariate output model and dynamic models (2020)Global sensitivity analysis f…Uncertainty analysis in multiscale modeling of concrete based on continuum micromechanics (2017)Uncertainty analysis in multi…Integrative Sensitivity Analysis Applied to Semi-Integral Concrete Bridges (2014)Integrative Sensitivity Analy…Quantifying Sources of Uncertainty for Creep Models under Varying Stresses (2013)Quantifying Sources of Uncert…Evaluation of coupled partial models in structural engineering using graph theory and sensitivity analysis (2011)Evaluation of coupled partial…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)A Framework for Validation of Computer Models (2007)Selection of model discrepancy priors in Bayesian calibration (2014)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Principles of Operations Research. (1970)Dynamic Version of the Economic Lot Size Model (2004)How to avoid a perfunctory sensitivity analysis (2010)Sensitivity analysis: A review of recent advances (2015)The generalization of Latin hypercube sampling (2015)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)Handbook on Constructing Composite Indicators (2005)An effective screening design for sensitivity analysis of large models (2007)Random Balance Experimentation (1959)The Application of Random Balance Designs (1959)The art of simulation (1964)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Probabilistic Theory of Structural Dynamics (1976)Simulation and the Monte Carlo Method (1981)Reliability estimation for dynamical systems subject to stochastic excitation using subset simulation with splitting (2004)Structural optimization of linear dynamical systems under stochastic excitation: a moving reliability database approach (2004)Design and sensitivity analysis of dynamical systems subjected to stochastic loading (2005)Simulation and the Monte Carlo Method (2016)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)Sensitivity analysis of environmental models: A systematic review with practical workflow (2016)SALib: An open-source Python library for Sensitivity Analysis (2017)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Set-Theoretic Methods for the Social Sciences (2012)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)
this work references cited by second hop

References

  • 1965Fuzzy sets68,735 cited
  • 1996Fuzzy sets46,960 cited
  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,270 cited
  • 2007Global Sensitivity Analysis. The Primer6,425 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 2009Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index3,567 cited
  • 1996Importance measures in global sensitivity analysis of nonlinear models2,014 cited
  • 1995Global Sensitivity Analysis931 cited
  • 1997Asymptotic Expansions for Reliability and Moments of Uncertain Systems249 cited
  • 2010A Bayesian approach for quantification of model uncertainty149 cited

Cited by

  • 2020Global sensitivity analysis for multivariate output model and dynamic models29 cited
  • 2011Evaluation of coupled partial models in structural engineering using graph theory and sensitivity analysis27 cited
  • 2017Uncertainty analysis in multiscale modeling of concrete based on continuum micromechanics24 cited
  • 2022Quantifying the uncertainties in modeling soft composites via a multiscale approach21 cited

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  • 2014Integrative Sensitivity Analysis Applied to Semi-Integral Concrete Bridges7 cited
  • 2013Quantifying Sources of Uncertainty for Creep Models under Varying Stresses5 cited
  • 2021Combining integral transform and a generalized probabilistic approach of uncertainties to quantify model-parameter and model uncertainties in computational structural dynamics: The stochastic GITT method5 cited