Journal of Verification, Validation and Uncertainty Quantification
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EISSN:2377-2166|ISSN:2377-2158|Disc:The Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) disseminates original and applied research, illustrative examples, and high quality validation experimental data from leaders in the field of VVUQ as applied to: Design of experiments; Computational models; and Analysis of experimental results. The JVVUQ is cross cutting and serves an audience of engineers and scientists. It provides special issues featuring challenge problems and discipline-specific applications|Priority:4|Publisher:American Society of Mechanical Engineers|
Recent Submissions
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On the Generation of Tuned Test Problems for Stress Concentrations Induced by Shear Tractions
(The American Society of Mechanical Engineers (ASME), 2025)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 ... -
The Propagation and Reduction of Uncertainty Left Unquantified by Confidence Intervals, p-Values, Neural Network Predictions, Posterior Distributions, and Other Statistical Results
(The American Society of Mechanical Engineers (ASME), 2024)In the use of statistical models to analyze data, there is not only the uncertainty quantified by the models but also uncertainty about which models are adequate for some purpose, such as weighing the evidence for or against ... -
Uncertainty Separation Method for Simulation With Image and Numerical Data
(The American Society of Mechanical Engineers (ASME), 2024)Image-based simulation plays a pivotal role in diverse engineering applications, integrating both image and numerical variables as inputs to predict design performance, understand system behaviors, and drive discovery. ... -
Solution Verification of Anomalous Waves in Nonideal Gases
(The American Society of Mechanical Engineers (ASME), 2024)Solution verification methods for anomalous waves in inviscid and viscous van der Waals gases are presented. Anomalous waves are admissible in a single gas phase material when isentropes are concave, rendering the sound ... -
Estimation of Discretization Errors in Viscous Flow Simulations Based on the RANS Equations: Wall-Resolved Versus Wall-Functions
(The American Society of Mechanical Engineers (ASME), 2025)In the present paper, we focus on the simulation of viscous flows at high Reynolds numbers using the Reynolds-averaged Navier–Stokes (RANS) equations. Time-averaging is used to define the mean flow properties and only ... -
A Validation Study on Dynamic Response and Failure Analysis of Large Unconfined Pipes Under Localized Blast Loading Using an Explicit Dynamic Approach
(The American Society of Mechanical Engineers (ASME), 2024)This study utilized an explicit dynamic approach to analyze the dynamic behavior of large-diameter pipes subjected to localized blast loading. The objective of the validation study was to investigate the effects of the ... -
Model Parameter Calibration for Vibration Fatigue Analysis by Means of Bayesian Updating and Artificial Neural Network Based Surrogate Models
(The American Society of Mechanical Engineers (ASME), 2024)In this paper, a methodology for model parameter calibration for vibration fatigue analysis is proposed. It combines Bayesian updating of uncertain model parameters and artificial neural networks (ANNs). The calibrated ... -
A Framework for Developing Systematic Testbeds for Multifidelity Optimization Techniques
(The American Society of Mechanical Engineers (ASME), 2024)Multifidelity (MF) models abound in simulation-based engineering. Many MF strategies have been proposed to improve the efficiency in engineering processes, especially in design optimization. When it comes to assessing the ... -
Machine Learning-Based Resilience Modeling and Assessment of High Consequence Systems Under Uncertainty
(The American Society of Mechanical Engineers (ASME), 2024)This study proposes a theoretical model and assessment method for the resilience of high consequence system (HCS), addressing the risk assessment and decision-making needs in critical system engineering activities. By ... -
Sparse Identification of Nonlinear Dynamics-Based Feature Extraction for Data Driven Model Predictive Control of a Buck Boost Switch Mode Power Supply
(The American Society of Mechanical Engineers (ASME), 2024)This paper presents two methods of creating model predictive control (MPC) strategies for efficient real-time control algorithms for power electronics. Two novel methods of performing nonlinear modeling are presented in ... -
Reliability Analysis for Rotate Vector Reducer by Combining Polynomial Chaos Expansion and Saddlepoint Approximation Considering Multi-Failure Modes
(The American Society of Mechanical Engineers (ASME), 2024)Rotate vector (RV) reducer is an essential mechanical transmission device in industrial machinery, robotics, aerospace, and other fields. The dynamic transmission characteristics and strength of the cycloidal pin gear and ... -
A Curved Surface Integral Method for Reliability Analysis of Multiple Failure Modes System With Nonoverlapping Failure Domains
(The American Society of Mechanical Engineers (ASME), 2024)In the study of reliability of systems with multiple failure modes, approximations can be obtained by calculating the probability of failure for each state function. The first-order reliability method and the second-order ... -
Uncertainty Quantification of a Machine Learning Model for Identification of Isolated Nonlinearities With Conformal Prediction
(The American Society of Mechanical Engineers (ASME), 2024)Structural nonlinearities are often spatially localized, such joints and interfaces, localized damage, or isolated connections, in an otherwise linearly behaving system. Quinn and Brink (2021, “Global System Reduction Order ... -
Approximate Integral Method for Nonlinear Reliability Analysis
(The American Society of Mechanical Engineers (ASME), 2024)In the realm of reliability analysis methods, the first-order reliability method (FORM) exhibits excellent computational accuracy and efficiency in linear problems. However, it fails to deliver satisfactory performance in ... -
A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves
(The American Society of Mechanical Engineers (ASME), 2024)The use of structural mechanics models during the design process often leads to the development of models of varying fidelity. Often low-fidelity models are efficient to simulate but lack accuracy, while the high-fidelity ... -
Uncertainty Quantification for Multidimensional Correlated Flow Field Responses
(The American Society of Mechanical Engineers (ASME), 2024)The inherent randomness of fluid dynamics problems or human cognitive limitations results in non-negligible uncertainties in computational fluid dynamics (CFD) modeling and simulation, leading to doubts about the credibility ... -
Automatic Ground-Truth Image Labeling for Deep Neural Network Training and Evaluation Using Industrial Robotics and Motion Capture
(The American Society of Mechanical Engineers (ASME), 2024)The United States Navy (USN) intends to increase the amount of uncrewed aircraft in a carrier air wing. To support this increase, carrier-based uncrewed aircraft will be required to have some level of autonomy as there ... -
Repeatability in Measurements and Control Settings of a Small Francis Turbine Test Rig
(The American Society of Mechanical Engineers (ASME), 2024)A reduced scaled-down hydraulic turbine test setup has been designed. The test setup is made to investigate the mitigation of pressure pulsations like the rotating vortex rope (RVR) and its formation and problems related ... -
Posterior Covariance Matrix Approximations
(The American Society of Mechanical Engineers (ASME), 2024)The Davis equation of state (EOS) is commonly used to model thermodynamic relationships for high explosive (HE) reactants. Typically, the parameters in the EOS are calibrated, with uncertainty, using a Bayesian framework ... -
Influence of Sampling Rate on Reproducibility and Accuracy of Miniature Kolsky Bar Experiments
(The American Society of Mechanical Engineers (ASME), 2024)The purpose of this work is to develop and verify a method for quantitatively analyzing data collected from Kolsky bar experiments and to confirm its validity by comparing it to a finite element (FE) model. This study also ...