Journal of Verification, Validation and Uncertainty Quantification: Recent submissions
Now showing items 141-160 of 207
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Feature Specific Assessment of Time History Signals by Objective Evaluation and Subject Matter Expert Opinion
(American Society of Mechanical Engineers (ASME), 2019)Objective evaluation (OE) methods provide quantitative insight into how well time history data from computational models match data from physical systems. Two feature specific techniques commonly used for this purpose are ... -
Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis
(American Society of Mechanical Engineers (ASME), 2019)When making computational simulation predictions of multiphysics engineering systems, sources of uncertainty in the prediction need to be acknowledged and included in the analysis within the current paradigm of striving ... -
Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments
(American Society of Mechanical Engineers (ASME), 2019)Experiments of a shock hitting a curtain of particles were conducted at the multiphase shock tube facility at Sandia National Laboratories. These are studied in this paper for quantifying the epistemic uncertainty in the ... -
Verification of Advective Bar Elements Implemented in the sierra/aria Thermal Response Code
(American Society of Mechanical Engineers (ASME), 2019)A thorough code verification effort has been performed on a reduced order, finite element model for one-dimensional (1D) fluid flow convectively coupled with a three-dimensional (3D) solid, referred to as the “advective ... -
Implementation and Assessment of a Residual-Based r-Adaptation Technique on Structured Meshes
(American Society of Mechanical Engineers (ASME), 2019)In this study, an r-adaptation technique for mesh adaptation is employed for reducing the solution discretization error, which is the error introduced due to spatial and temporal discretization of the continuous governing ... -
Grid-Induced Numerical Errors for Shear Stresses and Essential Flow Variables in a Ventricular Assist Device: Crucial for Blood Damage Prediction?
(The American Society of Mechanical Engineers (ASME), 2019)Adverse events due to flow-induced blood damage remain a serious problem for blood pumps as cardiac support systems. The numerical prediction of blood damage via computational fluid dynamics (CFD) is a helpful tool for the ... -
Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments
(The American Society of Mechanical Engineers (ASME), 2019)Experiments of a shock hitting a curtain of particles were conducted at the multiphase shock tube facility at Sandia National Laboratories. These are studied in this paper for quantifying the epistemic uncertainty in the ... -
Effective Convergence Checks for Verifying Finite Element Stresses at Three-Dimensional Stress Concentrations
(The American Society of Mechanical Engineers (ASME), 2019)Current computational capabilities facilitate the application of finite element analysis (FEA) to three-dimensional geometries to determine peak stresses. The three-dimensional stress concentrations so quantified are useful ... -
Verification and Validation of the FLAG Hydrocode for Impact Cratering Simulations
(The American Society of Mechanical Engineers (ASME), 2019)Verification and validation (V&V) are necessary processes to ensure accuracy of the computational methods used to solve problems key to vast numbers of applications and industries. Simulations are essential for addressing ... -
Feature Specific Assessment of Time History Signals by Objective Evaluation and Subject Matter Expert Opinion
(The American Society of Mechanical Engineers (ASME), 2019)Objective evaluation (OE) methods provide quantitative insight into how well time history data from computational models match data from physical systems. Two feature specific techniques commonly used for this purpose are ... -
Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis
(The American Society of Mechanical Engineers (ASME), 2019)When making computational simulation predictions of multiphysics engineering systems, sources of uncertainty in the prediction need to be acknowledged and included in the analysis within the current paradigm of striving ... -
Validation Metrics for Deterministic and Probabilistic Data
(The American Society of Mechanical Engineers (ASME), 2019)Computational modeling and simulation are paramount to modern science. Computational models often replace physical experiments that are prohibitively expensive, dangerous, or occur at extreme scales. Thus, it is critical ... -
Verification of Advective Bar Elements Implemented in the sierra/aria Thermal Response Code
(The American Society of Mechanical Engineers (ASME), 2019)A thorough code verification effort has been performed on a reduced order, finite element model for one-dimensional (1D) fluid flow convectively coupled with a three-dimensional (3D) solid, referred to as the “advective ... -
Reproducibility of Experiments With Swirling Flow: Numerical Prediction With Polynomial Chaos
(The American Society of Mechanical Engineers (ASME), 2019)Achieving good reproducibility in fluid flow experiments can be challenging, in particular in scenarios where the experimental boundary conditions are obscure. We use computational uncertainty quantification (UQ) to evaluate ... -
The Effects of Prosthesis Inertial Parameters on Inverse Dynamics: A Probabilistic Analysis
(The American Society of Mechanical Engineers (ASME), 2019)Joint kinetic measurement is a fundamental tool used to quantify compensatory movement patterns in participants with transtibial amputation (TTA). Joint kinetics are calculated through inverse dynamics (ID) and depend on ... -
Observations by Evaluating the Uncertainty of Stress Distribution in Truss Structures Based on Probabilistic and Possibilistic Methods
(The American Society of Mechanical Engineers (ASME), 2017)Load-bearing mechanical structures like trusses face uncertainty in loading along with uncertainty in stress and strength, which are due to uncertainty in their development, production, and usage. According to the working ... -
Interpretation of Validation Results Following ASME V&V20-2009
(The American Society of Mechanical Engineers (ASME), 2017)Suggestions are made for modification and extension of the methodology and interpretations of ASME V&V 20-2009, Standard for Verification and Validation in Computational Fluid Dynamics and Heat Transfer. A more ... -
Use of Scaled Sensitivity Coefficient Relations for Intrinsic Verification of Numerical Codes and Parameter Estimation for Heat Conduction
(The American Society of Mechanical Engineers (ASME), 2017)Numerical codes are important in providing solutions to partial differential equations in many areas, such as the heat transfer problem. However, verification of these codes is critical. A methodology is presented in this ... -
Assessment Criteria for Computational Fluid Dynamics Model Validation Experiments
(The American Society of Mechanical Engineers (ASME), 2017)Validation assesses the accuracy of a mathematical model by comparing simulation results to experimentally measured quantities of interest. Model validation experiments emphasize obtaining detailed information on all input ... -
The Effects of Prosthesis Inertial Parameters on Inverse Dynamics: A Probabilistic Analysis
(The American Society of Mechanical Engineers (ASME), 2017)Joint kinetic measurement is a fundamental tool used to quantify compensatory movement patterns in participants with transtibial amputation (TTA). Joint kinetics are calculated through inverse dynamics (ID) and depend on ...