Journal of Verification, Validation and Uncertainty Quantification: Recent submissions
Now showing items 41-60 of 207
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Reviewer's Recognition
(The American Society of Mechanical Engineers (ASME), 2023) -
Assessment of Model Validation, Calibration, and Prediction Approaches in the Presence of Uncertainty
(The American Society of Mechanical Engineers (ASME), 2023)Model validation is the process of determining the degree to which a model is an accurate representation of the true value in the real world. The results of a model validation study can be used to either quantify the model ... -
Validation and Applicability Analysis of a Computational Model of External Defibrillation
(The American Society of Mechanical Engineers (ASME), 2023)Survival rates for sudden cardiac death treated with external defibrillation are estimated to be up to five times greater compared to cardiopulmonary resuscitation alone. Computational modeling can be used to investigate ... -
Estimating Discretization Error With Prescribed Orders of Accuracy and Fractional Refinement Ratios
(The American Society of Mechanical Engineers (ASME), 2023)Solution verification is crucial for establishing the reliability of simulations. A central challenge is to estimate the discretization error accurately and reliably. Many approaches to this estimation are based on the ... -
On the Failure of the Area Metric for Validation Exercises of Stochastic Simulations
(The American Society of Mechanical Engineers (ASME), 2023)This paper discusses the application of the area metric to the quantification of modeling errors. The focus of the discussion is the effect of the shape of the two distributions on the result produced by the Area Metric. ... -
MultiMetric Validation Under Uncertainty for Multivariate Model Outputs and Limited Measurements
(The American Society of Mechanical Engineers (ASME), 2023)Model validation for realworld systems involves multiple sources of uncertainty, multivariate model outputs, and often a limited number of measurement samples. These factors preclude the use of many existing validation ... -
Verifiable Improvements of Finite Element Stresses at ThreeDimensional Stress Concentrations
(The American Society of Mechanical Engineers (ASME), 2023)While current computational capability has led to finite element analysis becoming the predominant means of assessing threedimensional stress concentrations, there are nonetheless some threedimensional configurations where ... -
On the FirstOrder Optimization Methods in Deep Image Prior
(The American Society of Mechanical Engineers (ASME), 2023)Deep learning methods have stateoftheart performances in many image restoration tasks. Their effectiveness is mostly related to the size of the dataset used for the training. Deep image prior (DIP) is an energyfunction ... -
Technical Evaluation of a Surfactant Injection Process for Heavy Oil Recovery by LaboratoryScale Numerical Simulation
(The American Society of Mechanical Engineers (ASME), 2023)Surfactant flooding comes up as a potential enhanced oil recovery method for heavy oil exploitation as a solution to energy losses in thermal processes. This research aims to use an inverse problem to determine the most ... -
Special Section: 10th International Conference on Inverse Problems in Engineering ICIPE 22, May 15–19, 2022, Francavilla al Mare (Chieti), Italy
(The American Society of Mechanical Engineers (ASME), 2023) -
Confidence Intervals for Richardson Extrapolation in Solid Mechanics
(The American Society of Mechanical Engineers (ASME), 2022)A simple procedure for estimating the uncertainty of estimates of true solutions to problems of deflection, stress concentrations, and force resultants in solid and structural mechanics is introduced. Richardson extrapolation ... -
Two Calculation Verification Metrics Used in the Medical Device Industry: Revisiting the Limitations of Fractional Change
(The American Society of Mechanical Engineers (ASME), 2022)Quantifying the fractional change in a predicted quantity of interest with successive mesh refinement is an attractive and widely used but limited approach to assessing numerical error and uncertainty in physicsbased ... -
Discussion: “Comparison of the V&V10.1 and V&V20 Modeling Error Quantification Procedures for the V&V10.1 Example” (Eça, L., Dowding, K., Moorcroft, D., and Ghia U., 2022, ASME J. Verif. Valid. Uncert., 7(2), p. 021004)
(The American Society of Mechanical Engineers (ASME), 2022)The present comment concerns the above paper. -
Sensitivity Analysis and Parametric Uncertainty Quantification of a Modular Multilevel Converter
(The American Society of Mechanical Engineers (ASME), 2022)This paper presents the numerical approaches for sensitivity analysis (SA) and its application in the modeling effort of a modular multilevel converter (MMC). A review of the state-of-the-art techniques in the sensitivity ... -
Analytical Sensitivity Analysis of a Spent Nuclear Fuel Cask
(The American Society of Mechanical Engineers (ASME), 2022)Nuclear science and engineering is a field increasingly dominated by computational studies resulting from increasingly powerful computational tools. As a result, analytical studies, which previously pioneered nuclear ... -
A Methodology for the Efficient Quantification of Parameter and Model Uncertainty
(The American Society of Mechanical Engineers (ASME), 2022)Complex structural systems often entail computationally intensive models that require efficient methods for statistical model calibration due to the high number of required model evaluations. In this paper, we present a ... -
Uncertainty Quantification of Time-Dependent Quantities in a System With Adjustable Level of Smoothness
(The American Society of Mechanical Engineers (ASME), 2022)We summarize the results of a computational study involved with uncertainty quantification (UQ) in a benchmark turbulent burner flame simulation. UQ analysis of this simulation enables one to analyze the convergence ... -
Verification of MOOSE/Bison's Heat Conduction Solver Using Combined Spatiotemporal Convergence Analysis
(The American Society of Mechanical Engineers (ASME), 2022)Bison is a computational physics code that uses the finite element method to model the thermo-mechanical response of nuclear fuel. Since Bison is used to inform high-consequence decisions, it is important that its computational ... -
On the Interpretation and Scope of the V&
(The American Society of Mechanical Engineers (ASME), 2022)The goal of this paper is to summarize and clarify the scope and interpretation of the validation procedure presented in the V& -
Comparison of the V&
(The American Society of Mechanical Engineers (ASME), 2022)The determination of the transverse tip deflection of an elastic, hollow, tapered, cantilever, box beam under a uniform loading applied over half the length of the beam presented in the V&