Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data

[1]  David Gorsich,et al.  Conservative reliability-based design optimization method with insufficient input data , 2016 .

[2]  Nam H. Kim,et al.  Safety envelope for load tolerance of structural element design based on multi-stage testing , 2016 .

[3]  Ren-Jye Yang,et al.  Model uncertainty approximation using a copula-based approach for reliability based design optimization , 2016 .

[4]  L. Fradet,et al.  Geometrical variations in white and gray matter affect the biomechanics of spinal cord injuries more than the arachnoid space , 2016 .

[5]  Sankaran Mahadevan,et al.  Reliability-based design optimization of multidisciplinary system under aleatory and epistemic uncertainty , 2016, Structural and Multidisciplinary Optimization.

[6]  Raphael T. Haftka,et al.  Requirements for papers focusing on new or improved global optimization algorithms , 2016 .

[7]  David Gorsich,et al.  Development of a Conservative Model Validation Approach for Reliable Analysis , 2015, DAC 2015.

[8]  H. S. Udaykumar,et al.  Evaluation of convergence behavior of metamodeling techniques for bridging scales in multi-scale multimaterial simulation , 2015, J. Comput. Phys..

[9]  K. K. Choi,et al.  Development and validation of a dynamic metamodel based on stochastic radial basis functions and uncertainty quantification , 2014, Structural and Multidisciplinary Optimization.

[10]  Ren-Jye Yang,et al.  A Copula-Based Approach for Model Bias Characterization , 2014 .

[11]  Pingfeng Wang,et al.  A Maximum Confidence Enhancement Based Sequential Sampling Scheme for Simulation-Based Design , 2013, DAC 2013.

[12]  Ren-Jye Yang,et al.  Model Bias Characterization in the Design Space under Uncertainty , 2013 .

[13]  Wei Chen,et al.  Reliability-Based Design Optimization with Model Bias and Data Uncertainty , 2013 .

[14]  Paul D. Arendt,et al.  Quantification of model uncertainty: Calibration, model discrepancy, and identifiability , 2012 .

[15]  Daniel W. Apley,et al.  Improving Identifiability in Model Calibration Using Multiple Responses , 2012, DAC 2011.

[16]  Zissimos P. Mourelatos,et al.  Concurrent Design Optimization and Calibration-Based Validation Using Local Domains Sized by Bootstrapping , 2012, DAC 2012.

[17]  Zissimos P. Mourelatos,et al.  A variable-size local domain approach for increased design confidence in simulation-based optimization , 2012, Structural and Multidisciplinary Optimization.

[18]  K. Choi,et al.  Sampling-based RBDO using the stochastic sensitivity analysis and Dynamic Kriging method , 2011 .

[19]  Kyung K. Choi,et al.  Metamodeling Method Using Dynamic Kriging for Design Optimization , 2011 .

[20]  Kyung K. Choi,et al.  Reliability-based Design Optimization with Confidence Level for Non-Gaussian Distributions Using Bootstrap Method , 2011, DAC 2010.

[21]  Kyung K. Choi,et al.  Reliability-based design optimization with confidence level under input model uncertainty due to limited test data , 2011 .

[22]  Sang Bum Kim,et al.  A hierarchical framework for statistical model calibration in engineering product development , 2011 .

[23]  K. Choi,et al.  Sampling-Based Stochastic Sensitivity Analysis Using Score Functions for RBDO Problems with Correlated Random Variables , 2011, DAC 2010.

[24]  Christopher J. Roy,et al.  Verification and Validation in Scientific Computing , 2010 .

[25]  Kyung K. Choi,et al.  Sampling-Based RBDO Using the Dynamic Kriging (D-Kriging) Method and Stochastic Sensitivity Analysis , 2010 .

[26]  Joo-Ho Choi,et al.  Bayesian Approach for Structural Reliability Analysis and Optimization Using the Kriging Dimension Reduction Method , 2010 .

[27]  R. Haftka,et al.  Application of bootstrap method in conservative estimation of reliability with limited samples , 2010 .

[28]  Wei Chen,et al.  A better understanding of model updating strategies in validating engineering models , 2009 .

[29]  W. Oberkampf,et al.  Model validation and predictive capability for the thermal challenge problem , 2008 .

[30]  Brian Williams,et al.  A Bayesian calibration approach to the thermal problem , 2008 .

[31]  Byeng D. Youn,et al.  Bayesian reliability-based design optimization using eigenvector dimension reduction (EDR) method , 2007, DAC 2007.

[32]  Panos Y. Papalambros,et al.  A Bayesian Approach to Reliability-Based Optimization With Incomplete Information , 2006, DAC 2006.

[33]  Sankaran Mahadevan,et al.  First-Order Approximation Methods in Reliability-Based Design Optimization , 2005 .

[34]  Matthew F. Barone,et al.  Measures of agreement between computation and experiment: Validation metrics , 2004, J. Comput. Phys..

[35]  Joaquim R. R. A. Martins,et al.  The complex-step derivative approximation , 2003, TOMS.

[36]  Jon C. Helton,et al.  Mathematical representation of uncertainty , 2001 .

[37]  Kyung K. Choi,et al.  A NEW STUDY ON RELIABILITY-BASED DESIGN OPTIMIZATION , 1999 .

[38]  Achintya Haldar,et al.  Probability, Reliability and Statistical Methods in Engineering Design (Haldar, Mahadevan) , 1999 .

[39]  M. Hohenbichler,et al.  Improvement Of Second‐Order Reliability Estimates by Importance Sampling , 1988 .

[40]  P. J. Green,et al.  Density Estimation for Statistics and Data Analysis , 1987 .

[41]  Zhen Hu,et al.  First order reliability method for time-variant problems using series expansions , 2015 .

[42]  Wei Chen,et al.  SOME METRICS AND A BAYESIAN PROCEDURE FOR VALIDATING PREDICTIVE MODELS IN ENGINEERING DESIGN , 2006, DAC 2006.

[43]  A. O'Hagan,et al.  Bayesian calibration of computer models , 2001 .

[44]  George J. Klir,et al.  Fuzzy sets, uncertainty and information , 1988 .

[45]  A. M. Hasofer,et al.  Exact and Invariant Second-Moment Code Format , 1974 .