Journal of Verification, Validation and Uncertainty Quantification: Recent submissions
Now showing items 161-180 of 207
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Statistical Approach for Computational Fluid Dynamics State-of-the-Art Assessment: N-Version Verification and Validation
(The American Society of Mechanical Engineers (ASME), 2017)A statistical approach for computational fluid dynamics (CFD) state-of-the-art (SoA) assessment is presented for specified benchmark test cases and validation variables, based on the combination of solution and N-version ... -
Verification Assessment of Piston Boundary Conditions for Lagrangian Simulation of the Guderley Problem
(The American Society of Mechanical Engineers (ASME), 2017)This work is concerned with the use of Guderley's converging shock wave solution of the inviscid compressible flow equations as a verification test problem for compressible flow simulation software. In practice, this effort ... -
A Linear Regression Framework for the Verification of Bayesian Model Calibration Algorithms
(The American Society of Mechanical Engineers (ASME), 2017)We describe a framework for the verification of Bayesian model calibration routines. The framework is based on linear regression and can be configured to verify calibration to data with a range of observation error ... -
Applicability Analysis of Validation Evidence for Biomedical Computational Models
(The American Society of Mechanical Engineers (ASME), 2017)Computational modeling has the potential to revolutionize medicine the way it transformed engineering. However, despite decades of work, there has only been limited progress to successfully translate modeling research to ... -
Mitigating Gibbs Phenomena in Uncertainty Quantification With a Stochastic Spectral Method
(The American Society of Mechanical Engineers (ASME), 2017)The use of spectral projection-based methods for simulation of a stochastic system with discontinuous solution exhibits the Gibbs phenomenon, which is characterized by oscillations near discontinuities. This paper investigates ... -
Definition and Implementation of a Method for Uncertainty Aggregation in Component-Based System Simulation Models
(The American Society of Mechanical Engineers (ASME), 2017)Component-based system simulation models are used throughout all development phases for design and verification of both physical systems and control software, not least in the aeronautical industry. However, the application ... -
Dynamics Model Validation Using Time-Domain Metrics
(The American Society of Mechanical Engineers (ASME), 2017)Validation of dynamics model prediction is challenging due to the involvement of various sources of uncertainty and variations among validation experiments and over time. This paper investigates quantitative approaches for ... -
A Robust Approach to Quantification of Margin and Uncertainty
(The American Society of Mechanical Engineers (ASME), 2017)A systematic approach to defining margin in a manner that incorporates statistical information and accommodates data uncertainty but does not require assumptions about specific forms of the tails of distributions is ... -
Benchmark Experiments for Steady-State Natural Convection in Fuel Rod Bundles
(The American Society of Mechanical Engineers (ASME), 2017)Natural convection is a phenomenon in which fluid flow surrounding a body is induced by a change in density due to the temperature difference between the body and fluid. After removal from the pressurized water reactor ... -
Dynamic Model Validation Metric Based on Wavelet Thresholded Signals
(The American Society of Mechanical Engineers (ASME), 2017)Model validation is a vital step in the simulation development process to ensure that a model is truly representative of the system that it is meant to model. One aspect of model validation that deserves special attention ... -
Sensitivity of Input Epistemic Uncertainty on Nondeterministic Performance Estimates Using Nondeterministic Simulations
(The American Society of Mechanical Engineers (ASME), 2017)This paper examines various sensitivity analysis methods which can be used to determine the relative importance of input epistemic uncertainties on the uncertainty quantified performance estimate. The results from such ... -
Uncertainty Quantification in a Patient-Specific One-Dimensional Arterial Network Model: EnKF-Based Inflow Estimator
(The American Society of Mechanical Engineers (ASME), 2017)Successful clinical use of patient-specific models for cardiovascular dynamics depends on the reliability of the model output in the presence of input uncertainties. For 1D fluid dynamics models of arterial networks, input ... -
Robust Resource Allocation for Calibration and Validation Tests
(The American Society of Mechanical Engineers (ASME), 2017)Model calibration and validation are two activities in system model development, and both of them make use of test data. Limited testing budget creates the challenge of test resource allocation, i.e., how to optimize the ... -
A New Extrapolation-Based Uncertainty Estimator for Computational Fluid Dynamics
(The American Society of Mechanical Engineers (ASME), 2016)A new Richardson extrapolation-based uncertainty estimator is developed which utilizes a global order of accuracy. The most significant difference between the proposed uncertainty estimator (referred to as the global ... -
Multiscale Validation and Uncertainty Quantification for Problems With Sparse Data
(The American Society of Mechanical Engineers (ASME), 2017)Quantification of uncertainty in the simulation results becomes difficult for complex real-world systems with little or no experimental data. This paper describes a validation and uncertainty quantification (VUQ) approach ... -
Effective Convergence Checks for Verifying Finite Element Stresses at Two-Dimensional Stress Concentrations
(The American Society of Mechanical Engineers (ASME), 2016)The accurate determination of stresses at two-dimensional (2D) stress risers is both an important and a challenging problem in engineering. Finite element analysis (FEA) has become the method of choice in making such ... -
Uncertainty Quantification of Large-Eddy Spray Simulations
(The American Society of Mechanical Engineers (ASME), 2016) -
Optimal Test Selection for Prediction Uncertainty Reduction
(The American Society of Mechanical Engineers (ASME), 2016)Economic factors and experimental limitations often lead to sparse and/or imprecise data used for the calibration and validation of computational models. This paper addresses resource allocation for calibration and validation ... -
Risk Analysis of Reactor Pressure Vessels Considering Modeling-Induced Uncertainties
(The American Society of Mechanical Engineers (ASME), 2016)Uncertainties in simulation models arise not only from the parameters that are used within the model, but also due to the modeling process itself—specifically the identification of a model that most accurately predicts the ... -
Editorial
(The American Society of Mechanical Engineers (ASME), 2016)