Statistical model calibration and design optimization under aleatory and epistemic uncertainty

Confidence-based Design Optimization (CBDO) for a More Conservative Optimum under Surrogate Model Uncertainty Caused by Gaussian Process

(2021) Yongsu Jung et al.   JOURNAL OF MECHANICAL DESIGN

Reliability-based topology optimization for heterogeneous composite structures under interval and convex mixed uncertainties

(2021) Lei Wang et al.   APPLIED MATHEMATICAL MODELLING

Optimal design of experiments for optimization-based model calibration using Fisher information matrix

(2021) Yongsu Jung et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Model Discrepancy Calibration Across Experimental Settings

(2020) Kathryn A. Maupin et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A sequential calibration and validation framework for model uncertainty quantification and reduction

(2020) Chen Jiang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Heterogeneous uncertainty quantification using Bayesian inference for simulation-based design optimization

(2020) Mingyang Li et al.   STRUCTURAL SAFETY

A model validation framework based on parameter calibration under aleatory and epistemic uncertainty

(2020) Jiexiang Hu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Stochastic analysis and validation under aleatory and epistemic uncertainties

(2020) Austin M. McKeand et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A generalized Bayesian approach to model calibration

(2020) Tony Tohme et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An inverse method for distributed dynamic load identification of structures with interval uncertainties

(2019) Lei Wang et al.   ADVANCES IN ENGINEERING SOFTWARE

A robust and convex metric for unconstrained optimization in statistical model calibration—probability residual (PR)

(2019) Hyunseok Oh et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Reliability measure approach for confidence-based design optimization under insufficient input data

(2019) Yongsu Jung et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

A New Calibration Metric that Considers Statistical Correlation: Marginal Probability and Correlation Residuals

(2019) Wongon Kim et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Special issue: a comprehensive study on enhanced optimization-based model calibration using gradient information

(2018) Guesuk Lee et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Confidence-based reliability assessment considering limited numbers of both input and output test data

(2018) Min-Yeong Moon et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Model-Based Reliability Analysis With Both Model Uncertainty and Parameter Uncertainty

(2018) Zhimin Xi   JOURNAL OF MECHANICAL DESIGN

Active Resource Allocation for Reliability Analysis With Model Bias Correction

(2018) Mingyang Li et al.   JOURNAL OF MECHANICAL DESIGN

Novel model calibration method via non-probabilistic interval characterization and Bayesian theory

(2018) Chong Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A Tutorial on Fisher information

(2017) Alexander Ly et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

A frequentist approach to computer model calibration

(2016) Raymond K. W. Wong et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Role of calibration, validation, and relevance in multi-level uncertainty integration

(2016) Chenzhao Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Reliability analysis under epistemic uncertainty

(2016) Saideep Nannapaneni et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Conservative reliability-based design optimization method with insufficient input data

(2016) Hyunkyoo Cho et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems

(2015) Shankar Sankararaman et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Hierarchical model calibration for designing piezoelectric energy harvester in the presence of variability in material properties and geometry

(2015) Byung C. Jung et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Selection of model discrepancy priors in Bayesian calibration

(2014) You Ling et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A framework of model validation and virtual product qualification with limited experimental data based on statistical inference

(2014) Byung C. Jung et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Quantification of Model Uncertainty: Calibration, Model Discrepancy, and Identifiability

(2012) Paul D. Arendt et al.   JOURNAL OF MECHANICAL DESIGN

Improving Identifiability in Model Calibration Using Multiple Responses

(2012) Paul D. Arendt et al.   JOURNAL OF MECHANICAL DESIGN

A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing

(2011) Christopher J. Roy et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A hierarchical framework for statistical model calibration in engineering product development

(2010) Byeng D. Youn et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A better understanding of model updating strategies in validating engineering models

(2008) Ying Xiong et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Computer Model Calibration Using High-Dimensional Output

(2008) Dave Higdon et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Aleatory or epistemic? Does it matter?

(2008) Armen Der Kiureghian et al.   STRUCTURAL SAFETY