SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients
16 references·1 citing·43 second hopsampled
Optimization-based model calibration of marginal and joint output distributions utilizing analytical gradients (2021)Optimization-based model calibration of m…Review of statistical model calibration and validation—from the perspective of uncertainty structures (2019)Review of statistical model c…Reliability analysis and reliability-based design optimization of roadway horizontal curves using a first-order reliability method (2014)Reliability analysis and reli…New validation metrics for models with multiple correlated responses (2014)New validation metrics for mo…Improving Identifiability in Model Calibration Using Multiple Responses (2012)Improving Identifiability in …Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Data-driven uncertainty quant…Toward a Better Understanding of Model Validation Metrics (2011)Toward a Better Understanding…A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing (2011)A comprehensive framework for…A hierarchical framework for statistical model calibration in engineering product development (2010)A hierarchical framework for …Uncertainty quantification using polynomial chaos expansion with points of monomial cubature rules (2008)Uncertainty quantification us…Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis (2008)Eigenvector dimension reducti…A comparative study of uncertainty propagation methods for black-box-type problems (2008)A comparative study of uncert…A better understanding of model updating strategies in validating engineering models (2008)A better understanding of mod…Model validation and predictive capability for the thermal challenge problem (2007)Model validation and predicti…Dimension reduction method for reliability-based robust design optimization (2007)Dimension reduction method fo…Reliability-based design optimization for crashworthiness of vehicle side impact (2004)Reliability-based design opti…Challenge problems: uncertainty in system response given uncertain parameters (2004)Challenge problems: uncertain…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…Exact and Invariant Second-Moment Code Format (1974)Structural reliability under combined random load sequences (1978)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Chaos control for numerical instability of first order reliability method (2009)A Maximum Confidence Enhancement Based Sequential Sampling Scheme for Simulation-Based Design (2013)A new directional stability transformation method of chaos control for first order reliability analysis (2016)Stochastic Finite Elements: A Spectral Approach (1991)Adaptive-sparse polynomial chaos expansion for reliability analysis and design of complex engineering systems (2010)Modeling, analysis, and optimization under uncertainties: a review (2021)Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation (2022)Structural Reliability Theory and Its Applications (1982)Probability, reliability and statistical methods in engineering design (1999)Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems (2008)Reliability-based design optimization of problems with correlated input variables using a Gaussian Copula (2008)Simulation and the Monte Carlo Method (2016)A mathematical theory of evidence (1977)Propagation of Uncertainty in Risk Assessments: The Need to Distinguish Between Uncertainty Due to Lack of Knowledge and Uncertainty Due to Variability (1994)Uncertainties in risk analysis: Six levels of treatment (1996)An exploration of alternative approaches to the representation of uncertainty in model predictions (2004)Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles (2011)Imprecise probabilities in engineering analyses (2013)Verification and Validation in Computational Science and Engineering (1998)Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems (2015)Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables (2019)Probability, Reliability and Statistical Methods in Engineering Design (2001)Verification, validation, and predictive capability in computational engineering and physics (2004)Quantitative model validation techniques: New insights (2012)Combining Field Data and Computer Simulations for Calibration and Prediction (2004)A Framework for Validation of Computer Models (2007)Identifying elastoplastic parameters with Bayes’ theorem considering output error, input error and model uncertainty (2018)A sequential calibration and validation framework for model uncertainty quantification and reduction (2020)Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates (2001)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)An introduction to sensitivity assessment of simulation models (2015)Review of Polynomial Chaos-Based Methods for Uncertainty Quantification in Modern Integrated Circuits (2018)Reliability analysis with stratified importance sampling based on adaptive Kriging (2020)The American society of mechanical engineers (1902)CHAPMAN AND HALL (1985)Empirical Model Building and Response Surfaces (1988)Response Surface Methodology (1996)Adaptive probability analysis using an enhanced hybrid mean value method (2004)Enriched Performance Measure Approach for Reliability-Based Design Optimization. (2005)Efficient surrogate models for reliability analysis of systems with multiple failure modes (2011)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2011A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing810 cited
  • 2004Challenge problems: uncertainty in system response given uncertain parameters570 cited
  • 2012Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion451 cited
  • 2004Reliability-based design optimization for crashworthiness of vehicle side impact369 cited
  • 2008A comparative study of uncertainty propagation methods for black-box-type problems331 cited
  • 2007Model validation and predictive capability for the thermal challenge problem322 cited
  • 2007Dimension reduction method for reliability-based robust design optimization196 cited
  • 2008Eigenvector dimension reduction (EDR) method for sensitivity-free probability analysis179 cited
  • 2011Toward a Better Understanding of Model Validation Metrics175 cited
  • 2008A better understanding of model updating strategies in validating engineering models146 cited
  • 2012Improving Identifiability in Model Calibration Using Multiple Responses136 cited
  • 2019Review of statistical model calibration and validation—from the perspective of uncertainty structures99 cited
  • 2010A hierarchical framework for statistical model calibration in engineering product development76 cited
  • 2014New validation metrics for models with multiple correlated responses

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

62 cited
  • 2014Reliability analysis and reliability-based design optimization of roadway horizontal curves using a first-order reliability method59 cited
  • 2008Uncertainty quantification using polynomial chaos expansion with points of monomial cubature rules51 cited
  • Cited by

    • 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