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Journal Articles

HYPAD-UQ: A Derivative-Based Uncertainty Quantification Method Using a Hypercomplex Finite Element Method

Matthew Balcer, Mauricio Aristizabal, Juan-Sebastian Rincon-Tabares, Arturo Montoya, David Restrepo, Harry Millwater

Publisher: ASME

J. Verif. Valid. Uncert. June 2023, 8(2): 021002.

Paper No: VVUQ-22-1028

https://doi.org/10.1115/1.4062459

Published Online: June 13, 2023

View Article titled, HYPAD-UQ: A Derivative-Based Uncertainty Quantification Method Using a Hypercomplex Finite Element Method

Topics: Algebra, Errors, Finite element analysis, Uncertainty quantification, Finite element methods, Temperature

Journal Articles

Sensitivity Analysis and Parametric Uncertainty Quantification of a Modular Multilevel Converter

Niloofar Rashidi, Rolando Burgos, Chris Roy, Dushan Boroyevich

Publisher: ASME

J. Verif. Valid. Uncert. September 2022, 7(3): 031003.

Paper No: VVUQ-21-1033

https://doi.org/10.1115/1.4055139

Published Online: August 17, 2022

View Article titled, Sensitivity Analysis and Parametric Uncertainty Quantification of a Modular Multilevel Converter

Topics: Sensitivity analysis, Uncertainty, Uncertainty quantification, Modeling

Journal Articles

A Framework for In Silico Clinical Trials for Medical Devices Using Concepts From Model Verification, Validation, and Uncertainty Quantification

Jeff Bodner, Vikas Kaul

Publisher: ASME

J. Verif. Valid. Uncert. June 2022, 7(2): 021001.

Paper No: VVUQ-21-1023

https://doi.org/10.1115/1.4053565

Published Online: February 9, 2022

View Article titled, A Framework for In Silico Clinical Trials for Medical Devices Using Concepts From Model Verification, Validation, and Uncertainty Quantification

Topics: Biomedicine, Medical devices, Model validation, Simulation, Simulation results, Uncertainty, Uncertainty quantification, Risk, Computer simulation, Probability

Journal Articles

Uncertainty Quantification of Time-Dependent Quantities in a System With Adjustable Level of Smoothness

Marks Legkovskis, Peter J. Thomas, Michael Auinger

Publisher: ASME

J. Verif. Valid. Uncert. March 2022, 7(1): 011005.

Paper No: VVUQ-21-1008

https://doi.org/10.1115/1.4053161

Published Online: January 25, 2022

View Article titled, Uncertainty Quantification of Time-Dependent Quantities in a System With Adjustable Level of Smoothness

Topics: Flames, Flow (Dynamics), Uncertainty, Uncertainty quantification, Temperature, Simulation

Journal Articles

Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities

Salvatore Campione, J. Adam Stephens, Nevin Martin, Aubrey Eckert, Larry K. Warne, Gabriel Huerta, Robert A. Pfeiffer, Adam Jones

Publisher: ASME

J. Verif. Valid. Uncert. December 2021, 6(4): 041003.

Paper No: VVUQ-20-1003

https://doi.org/10.1115/1.4051906

Published Online: August 23, 2021

View Article titled, Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities

Topics: Cavities, Resonance, Uncertainty quantification, Sensitivity analysis

Journal Articles

Uncertainty Reduction for Model Error Detection in Multiphase Shock Tube Simulation

Chanyoung Park, Samaun Nili, Justin T. Mathew, Frederick Ouellet, Rahul Koneru, Nam H. Kim, Sivaramakrishnan Balachandar, Raphael T. Haftka

Publisher: ASME

J. Verif. Valid. Uncert. September 2021, 6(3): 031004.

Paper No: VVUQ-19-1027

https://doi.org/10.1115/1.4051407

Published Online: July 6, 2021

View Article titled, Uncertainty Reduction for Model Error Detection in Multiphase Shock Tube Simulation

Topics: Errors, Particulate matter, Shock tubes, Simulation, Uncertainty, Uncertainty quantification

Journal Articles

Assessment of the Predictive Capability of VERA—CS for CASL Challenge Problems

Paridhi Athe, Christopher Jones, Nam Dinh

Publisher: ASME

J. Verif. Valid. Uncert. June 2021, 6(2): 021003.

Paper No: VVUQ-20-1046

https://doi.org/10.1115/1.4050248

Published Online: March 15, 2021

View Article titled, Assessment of the Predictive Capability of VERA—CS for CASL Challenge Problems

Topics: Boron, Computer software, Coolants, Cyber-physical systems, Fuels, Light water reactors, Model development, Modeling, Physics, Resolution (Optics)

Journal Articles

Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface

Xinpeng Wei, Jianxun Zhao, Xiaoming He, Zhen Hu, Xiaoping Du, Daoru Han

Publisher: ASME

J. Verif. Valid. Uncert. March 2021, 6(1): 011006.

Paper No: VVUQ-20-1029

https://doi.org/10.1115/1.4050073

Published Online: March 9, 2021

View Article titled, Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface

Topics: Dust, Levitation, Photoelectrons, Uncertainty quantification, Errors, Electric potential

Journal Articles

Multi-Element Stochastic Galerkin Method Based on Edge Detection for Uncertainty Quantification of Discontinuous Responses

Shigetaka Kawai, Akira Oyama

Publisher: ASME

J. Verif. Valid. Uncert. December 2020, 5(4): 041004.

Paper No: VVUQ-20-1005

https://doi.org/10.1115/1.4049200

Published Online: December 17, 2020

View Article titled, Multi-Element Stochastic Galerkin Method Based on Edge Detection for Uncertainty Quantification of Discontinuous Responses

Topics: Chaos, Edge detection, Polynomials, Uncertainty quantification, Diffusion (Physics), Uncertainty

Journal Articles

Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics

Godlove Wanki, Stephen Ekwaro-Osire, João Paulo Dias, Americo Cunha, Jr.

Publisher: ASME

J. Verif. Valid. Uncert. September 2020, 5(3): 031005.

Paper No: VVUQ-19-1030

https://doi.org/10.1115/1.4048749

Published Online: October 29, 2020

View Article titled, Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics

Topics: Displacement, Modeling, Porosity, Stiffness, Uncertainty, Uncertainty quantification, Young's modulus, Statistical distributions, Risk, Design

Journal Articles

Closure on the Discussion of “Models, Uncertainty, and the Sandia V&V Challenge Problem” (Hazelrigg, G. A., and Klutke, G. A., ASME J. Verif. Valid. Uncert., 2020, 5(1), p. 015501)

William L. Oberkampf, Michael S. Balch

Publisher: ASME

J. Verif. Valid. Uncert. September 2020, 5(3): 035501.

Paper No: VVUQ-20-1021

https://doi.org/10.1115/1.4048338

Published Online: October 5, 2020

View Article titled, Closure on the Discussion of “Models, Uncertainty, and the Sandia V&V Challenge Problem” (Hazelrigg, G. A., and Klutke, G. A., ASME J. Verif. Valid. Uncert., 2020, 5(1), p. 015501)

Topics: Probability, Uncertainty, Uncertainty quantification, Model validation

Journal Articles

Confidence-Based Uncertainty Quantification and Model Validation for Simulations of High-Speed Impact Problems

Min-Yeong Moon, Oishik Sen, Nirmal Kumar Rai, Nicholas J. Gaul, Kyung K. Choi, H. S. Udaykumar

Publisher: ASME

J. Verif. Valid. Uncert. June 2020, 5(2): 021005.

Paper No: VVUQ-20-1019

https://doi.org/10.1115/1.4047960

Published Online: August 26, 2020

View Article titled, Confidence-Based Uncertainty Quantification and Model Validation for Simulations of High-Speed Impact Problems

Topics: Computer simulation, Model validation, Simulation, Uncertainty, Uncertainty quantification, Copper, Errors, Density

Journal Articles

Standards and Methods for Verification, Validation, and Uncertainty Assessments in Modeling and Simulation

Christopher J. Freitas

Publisher: ASME

J. Verif. Valid. Uncert. June 2020, 5(2): 021001.

Paper No: VVUQ-19-1043

https://doi.org/10.1115/1.4047274

Published Online: June 3, 2020

View Article titled, Standards and Methods for Verification, Validation, and Uncertainty Assessments in Modeling and Simulation

Topics: Errors, Modeling, Simulation, Uncertainty, ASME Standards, Uncertainty quantification, Mechanical engineers

Journal Articles

Verification, Validation, and Uncertainty Quantification of Spinal Rod Computational Models Under Three-Point Bending

Srinidhi Nagaraja, Galyna Loughran, Anup Gandhi, Jason Inzana, Andrew P. Baumann, Kumar Kartikeya, Marc Horner

Publisher: ASME

J. Verif. Valid. Uncert. March 2020, 5(1): 011002.

Paper No: VVUQ-19-1040

https://doi.org/10.1115/1.4046329

Published Online: March 13, 2020

View Article titled, Verification, Validation, and Uncertainty Quantification of Spinal Rod Computational Models Under Three-Point Bending

Topics: Engineering simulation, Finite element analysis, Simulation, Testing, Uncertainty, Uncertainty quantification, Displacement, Food and Drug Administration, Stiffness, Rods

Journal Articles

Operator-Based Uncertainty Quantification of Stochastic Fractional Partial Differential Equations

Ehsan Kharazmi, Mohsen Zayernouri

Publisher: ASME

J. Verif. Valid. Uncert. December 2019, 4(4): 041006.

Paper No: VVUQ-18-1034

https://doi.org/10.1115/1.4046093

Published Online: February 5, 2020

View Article titled, Operator-Based Uncertainty Quantification of Stochastic Fractional Partial Differential Equations

Topics: Partial differential equations, Space, Uncertainty, Uncertainty quantification, Boundary-value problems, Dimensions, Stochastic processes, Noise (Sound), Differential equations, Stability

Journal Articles

Leveraging Adapted Polynomial Chaos Metamodels for Real-Time Bayesian Updating

Ziad G. Ghauch

Publisher: ASME

J. Verif. Valid. Uncert. December 2019, 4(4): 041003.

Paper No: VVUQ-19-1031

https://doi.org/10.1115/1.4045693

Published Online: January 6, 2020

View Article titled, Leveraging Adapted Polynomial Chaos Metamodels for Real-Time Bayesian Updating

Topics: Approximation, Chaos, Decision making, Polynomials, Response surface methodology, Uncertainty, Thermal diffusion, Robots, Uncertainty quantification

Journal Articles

Validation of Notch Sensitivity Factors

Barna Szabó, Ricardo Actis, David Rusk

Publisher: ASME

J. Verif. Valid. Uncert. March 2019, 4(1): 011004.

Paper No: VVUQ-18-1016

https://doi.org/10.1115/1.4044236

Published Online: August 2, 2019

View Article titled, Validation of Notch Sensitivity Factors

Topics: Aluminum alloys, Calibration, Cycles, Fatigue limit, Stress, Probability, Failure, Uncertainty quantification

Journal Articles

Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments

Chanyoung Park, Justin Matthew, Nam H. Kim, Raphael T. Haftka

Publisher: ASME

J. Verif. Valid. Uncert. December 2018, 3(4): 041001.

Paper No: VVUQ-18-1018

https://doi.org/10.1115/1.4042814

Published Online: March 7, 2019

View Article titled, Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments

Topics: Particulate matter, Uncertainty, X-rays, Image processing, Shock tubes, Uncertainty quantification, Calibration

Journal Articles

Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis

Benjamin B. Schroeder, Humberto Silva, III, Kyle D. Smith

Publisher: ASME

J. Verif. Valid. Uncert. September 2018, 3(3): 031006.

Paper No: VVUQ-18-1021

https://doi.org/10.1115/1.4042815

Published Online: February 22, 2019

View Article titled, Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis

Topics: Simulation, Uncertainty, Uncertainty quantification, Thermal analysis, Errors

Journal Articles

Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis

Aytekin Gel, Avinash Vaidheeswaran, Jordan Musser, Charles H. Tong

Publisher: ASME

J. Verif. Valid. Uncert. September 2018, 3(3): 031001.

Paper No: VVUQ-17-1032

https://doi.org/10.1115/1.4041745

Published Online: November 22, 2018

View Article titled, Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis

Topics: Flow (Dynamics), Friction, Multiphase flow, Particulate matter, Sensitivity analysis, Simulation, Uncertainty quantification, Computational fluid dynamics, Discrete element methods

Journal citation

NARROW

HYPAD-UQ: A Derivative-Based Uncertainty Quantification Method Using a Hypercomplex Finite Element Method

Sensitivity Analysis and Parametric Uncertainty Quantification of a Modular Multilevel Converter

A Framework for In Silico Clinical Trials for Medical Devices Using Concepts From Model Verification, Validation, and Uncertainty Quantification

Uncertainty Quantification of Time-Dependent Quantities in a System With Adjustable Level of Smoothness

Developing Uncertainty Quantification Strategies in Electromagnetic Problems Involving Highly Resonant Cavities

Uncertainty Reduction for Model Error Detection in Multiphase Shock Tube Simulation

Assessment of the Predictive Capability of VERA—CS for CASL Challenge Problems

Adaptive Kriging Method for Uncertainty Quantification of the Photoelectron Sheath and Dust Levitation on the Lunar Surface

Multi-Element Stochastic Galerkin Method Based on Edge Detection for Uncertainty Quantification of Discontinuous Responses

Uncertainty Quantification With Sparsely Characterized Parameters: An Example Applied to Femoral Stem Mechanics

Closure on the Discussion of “Models, Uncertainty, and the Sandia V&V Challenge Problem” (Hazelrigg, G. A., and Klutke, G. A., ASME J. Verif. Valid. Uncert., 2020, 5(1), p. 015501)

Confidence-Based Uncertainty Quantification and Model Validation for Simulations of High-Speed Impact Problems

Standards and Methods for Verification, Validation, and Uncertainty Assessments in Modeling and Simulation

Verification, Validation, and Uncertainty Quantification of Spinal Rod Computational Models Under Three-Point Bending

Operator-Based Uncertainty Quantification of Stochastic Fractional Partial Differential Equations

Leveraging Adapted Polynomial Chaos Metamodels for Real-Time Bayesian Updating

Validation of Notch Sensitivity Factors

Epistemic Uncertainty Stemming From Measurement Processing—A Case Study of Multiphase Shock Tube Experiments

Separability of Mesh Bias and Parametric Uncertainty for a Full System Thermal Analysis

Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis

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