Journal of Verification, Validation and Uncertainty Quantification: Recent submissions
Now showing items 61-80 of 207
-
Verification and Validation: The Path to Predictive Scale-Resolving Simulations of Turbulence
(The American Society of Mechanical Engineers (ASME), 2022)This work investigates the importance of verification and validation (V& -
Inferring Extreme Values From Measured Averages Under Deep Uncertainty
(The American Society of Mechanical Engineers (ASME), 2022)Averages are measured in many circumstances for diagnostic, predictive, or surveillance purposes. Examples include average stress along a beam, average speed along a section of highway, average alcohol consumption per ... -
A Framework for In Silico Clinical Trials for Medical Devices Using Concepts From Model Verification, Validation, and Uncertainty Quantification
(The American Society of Mechanical Engineers (ASME), 2022)The rising costs of clinical trials for medical devices in recent years has led to an increased interest in what are called in silico clinical trials, where simulation results are used to supplement or to replace those ... -
Verification of a Specialized Hydrodynamic Simulation Code for Modeling Deflagration and Detonation of High Explosives
(The American Society of Mechanical Engineers (ASME), 2022)A specialized hydrodynamic simulation code has been developed and verified for the simulation of one-dimensional unsteady problems involving the detonation and deflagration of high explosives. To model all the relevant ... -
Quantifying Uncertainty of Damage in Composites Using a Quasi Monte Carlo Technique
(The American Society of Mechanical Engineers (ASME), 2021)Property variations in a structure strongly impact the macroscopic mechanical performance as regions with lower strength will be prone to damage initiation or acceleration. Consideration of the variability in material ... -
On the Generation of Tuned Test Problems for Stress Concentrations
(The American Society of Mechanical Engineers (ASME), 2021)When stress concentration factors are not available in handbooks, finite element analysis has become the predominant method for determining their values. For such determinations, there is a need to know if they have ... -
Experimental and Modeling Uncertainty Considerations for Determining the First Item Ignited in a Compartment Using a Bayesian Method
(The American Society of Mechanical Engineers (ASME), 2021)Fire scene reconstruction and determining the fire evolution (i.e., item-to-item ignition events) using the postfire compartment is an extremely difficult task because of the time-integrated nature of the observed damages. ... -
Benchmark Validation Experiment of Plenum-to-Plenum Flow Through Heated Parallel Channels
(The American Society of Mechanical Engineers (ASME), 2021)This paper documents a computational fluid dynamics (CFD) validation benchmark experiment for flow through three parallel, heated channels from one plenum to another. The test section was installed into a facility designed ... -
Assessment of Discretization Uncertainty Estimators Based on Grid Refinement Studies
(The American Society of Mechanical Engineers (ASME), 2021)This paper presents the assessment of the performance of nine discretization uncertainty estimates based on grid refinement studies including methods that use grid triplets and others that use a largest number of data ... -
Verification and Validation of High-Fidelity Open-Source Simulation Tools for Supersonic Aircraft Aerodynamic Analysis
(The American Society of Mechanical Engineers (ASME), 2021)Small supersonic vehicle concepts used as research platforms to test new aerospace technologies, such as advanced propulsion systems or large sensor payloads, require major modifications to conventional, large-scale, manned, ... -
Lid-Driven Square Cavity Flow: A Benchmark Solution With an 8192 × 8192 Grid
(The American Society of Mechanical Engineers (ASME), 2021)The incompressible steady-state fluid flow inside a lid-driven square cavity was simulated using the mass conservation and Navier–Stokes equations. This system of equations is solved for Reynolds numbers of up to 10,000 ... -
Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities
(The American Society of Mechanical Engineers (ASME), 2021)High-quality factor resonant cavities are challenging structures to model in electromagnetics owing to their large sensitivity to minute parameter changes. Therefore, uncertainty quantification (UQ) strategies are pivotal ... -
Embedded-Error Bayesian Calibration of Thermal Decomposition of Organic Materials
(The American Society of Mechanical Engineers (ASME), 2021)Organic materials are an attractive choice for structural components due to their light weight and versatility. However, because they decompose at low temperatures relative to traditional materials, they pose a safety risk ... -
Effect of the Heat Transfer Coefficient Reference Temperatures on Validating Numerical Models of Supercritical CO2
(The American Society of Mechanical Engineers (ASME), 2021)Validating turbulence models for cooling supercritical carbon dioxide (sCO2) in a horizontal pipe is challenging due to the lack of experimental data with spatially resolved local temperature measurements. Although many ... -
Response to “Closure on the Discussion of “Models, Uncertainty, and the Sandia V&V Challenge Problem” ” (Oberkampf, W. L., and Balch, M. S., ASME J. Verif. Valid. Uncert., 2020, 5(3), p. 035501-1)
(The American Society of Mechanical Engineers (ASME), 2021)We write to address comments made in Closure on the Discussion of “Models, Uncertainty, and the Sandia V&V Challenge Problem” by Oberkampf and Balch. We feel that the title of these comments is unfortunate because it ... -
Credibility Assessment of Machine Learning in a Manufacturing Process Application
(The American Society of Mechanical Engineers (ASME), 2021)We present a framework for establishing credibility of a machine learning (ML) model used to predict a key process control variable setting to maximize product quality in a component manufacturing application. Our model ... -
Optimal Selection of Model Validation Experiments: Guided by Coverage
(The American Society of Mechanical Engineers (ASME), 2021)Modeling and Simulation (M&S) is seen as a means to mitigate the difficulties associated with increased system complexity, integration, and cross-couplings effects encountered during development of aircraft subsystems. ... -
Defining Computational Emissivity Uncertainty Over Large Temperature Scales Due to Surface Evolution
(The American Society of Mechanical Engineers (ASME), 2021)There is a dearth in the literature on how to capture the uncertainty generated by material surface evolution in thermal modeling. This leads to inadequate or highly variable uncertainty representations for material ... -
Uncertainty Reduction for Model Error Detection in Multiphase Shock Tube Simulation
(The American Society of Mechanical Engineers (ASME), 2021)Uncertainty quantification (UQ) is an important step in the verification and validation of scientific computing. Validation can be inconclusive when uncertainties are larger than acceptable ranges for both simulation and ... -
Processing Aleatory and Epistemic Uncertainties in Experimental Data From Sparse Replicate Tests of Stochastic Systems for Real-Space Model Validation
(The American Society of Mechanical Engineers (ASME), 2021)This paper presents a practical methodology for propagating and processing uncertainties associated with random measurement and estimation errors (that vary from test-to-test) and systematic measurement and estimation ...