Page 1 | Search Results | J. Verif. Valid. Uncert.

1-18 of 18

Sort by

Sort Order Select

Journal Articles

Probabilities of Agreement for Computational Model Validation

Matthew C. Ledwith, Raymond R. Hill, Lance E. Champagne, Edward D. White

J. Verif. Valid. Uncert. March 2023, 8(1): 011003.

Paper No: VVUQ-22-1021

https://doi.org/10.1115/1.4056862

Published Online: February 22, 2023

View Article titled, Probabilities of Agreement for Computational Model Validation

Topics: Computer simulation, Probability, Manufacturing

Journal Articles

Multi-Metric Validation Under Uncertainty for Multivariate Model Outputs and Limited Measurements

Andrew White, Sankaran Mahadevan, Jason Schmucker, Alexander Karl

J. Verif. Valid. Uncert. December 2022, 7(4): 041004.

Paper No: VVUQ-22-1007

https://doi.org/10.1115/1.4056548

Published Online: January 6, 2023

View Article titled, Multi-Metric Validation Under Uncertainty for Multivariate Model Outputs and Limited Measurements

Topics: Reliability, Shapes, Uncertainty, Heat transfer, Probability, Model validation

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

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

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

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

Predictive Capability Maturity Quantification Using Bayesian Network

Linyu Lin, Nam Dinh

Publisher: ASME

J. Verif. Valid. Uncert. September 2020, 5(3): 031001.

Paper No: VVUQ-20-1017

https://doi.org/10.1115/1.4048465

Published Online: October 5, 2020

View Article titled, Predictive Capability Maturity Quantification Using Bayesian Network

Topics: Simulation, Uncertainty, Probability

Journal Articles

Models, Uncertainty, and the Sandia V&V Challenge Problem

George A. Hazelrigg, Jr, Georgia-Ann Klutke

J. Verif. Valid. Uncert. March 2020, 5(1): 015501.

Paper No: VVUQ-19-1048

https://doi.org/10.1115/1.4046471

Published Online: March 16, 2020

View Article titled, Models, Uncertainty, and the Sandia V&V Challenge Problem

Topics: Probability, Uncertainty, Mathematics

Journal Articles

A Unifying Framework for Probabilistic Validation Metrics

Paul Gardner, Charles Lord, Robert J. Barthorpe

J. Verif. Valid. Uncert. September 2019, 4(3): 031005.

Paper No: VVUQ-19-1021

https://doi.org/10.1115/1.4045296

Published Online: November 25, 2019

View Article titled, A Unifying Framework for Probabilistic Validation Metrics

Topics: Gaussian distribution, Probability

Journal Articles

Validation of Notch Sensitivity Factors

Barna Szabó, Ricardo Actis, David Rusk

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

Estimating Physics Models and Quantifying Their Uncertainty Using Optimization With a Bayesian Objective Function

Stephen A. Andrews, Andrew M. Fraser

J. Verif. Valid. Uncert. March 2019, 4(1): 011002.

Paper No: VVUQ-18-1024

https://doi.org/10.1115/1.4043807

Published Online: June 18, 2019

View Article titled, Estimating Physics Models and Quantifying Their Uncertainty Using Optimization With a Bayesian Objective Function

Topics: Eigenfunctions, Optimization, Physics, Probability, Simulation, Uncertainty, Cylinders, Explosions, Splines, Approximation

Journal Articles

A General Methodology for Uncertainty Quantification in Engineering Analyses Using a Credible Probability Box

Mark E. Ewing, Brian C. Liechty, David L. Black

J. Verif. Valid. Uncert. June 2018, 3(2): 021003.

Paper No: VVUQ-18-1013

https://doi.org/10.1115/1.4041490

Published Online: October 8, 2018

View Article titled, A General Methodology for Uncertainty Quantification in Engineering Analyses Using a Credible Probability Box

Topics: Probability, Uncertainty, Uncertainty quantification, Design

Journal Articles

A Robust Approach to Quantification of Margin and Uncertainty

Daniel J. Segalman, Thomas L. Paez, Lara E. Bauman

J. Verif. Valid. Uncert. March 2017, 2(1): 011005.

Paper No: VVUQ-15-1045

https://doi.org/10.1115/1.4036180

Published Online: April 4, 2017

View Article titled, A Robust Approach to Quantification of Margin and Uncertainty

Topics: Failure, Probability, Stress, Uncertainty

Journal Articles

Computationally Efficient Variational Approximations for Bayesian Inverse Problems

Panagiotis Tsilifis, Ilias Bilionis, Ioannis Katsounaros, Nicholas Zabaras

J. Verif. Valid. Uncert. September 2016, 1(3): 031004.

Paper No: VVUQ-15-1041

https://doi.org/10.1115/1.4034102

Published Online: July 26, 2016

View Article titled, Computationally Efficient Variational Approximations for Bayesian Inverse Problems

Topics: Approximation, Computation, Inverse problems, Noise (Sound), Optimization, Probability, Algorithms, Density, Chain, Dynamic systems

Journal Articles

Why Do Verification and Validation?

Kenneth T. Hu, Thomas L. Paez

J. Verif. Valid. Uncert. March 2016, 1(1): 011008.

Paper No: VVUQ-15-1056

https://doi.org/10.1115/1.4032564

Published Online: February 19, 2016

View Article titled, Why Do Verification and Validation?

Topics: Chain, Decision making, Performance, Probability, Workshops (Work spaces), Modeling, Decision analysis, Failure, Risk, Uncertainty

Journal Articles

Economic Analysis of Model Validation for a Challenge Problem

Paul J. Paez, Thomas L. Paez, Timothy K. Hasselman

J. Verif. Valid. Uncert. March 2016, 1(1): 011007.

Paper No: VVUQ-15-1013

https://doi.org/10.1115/1.4032370

Published Online: February 19, 2016

View Article titled, Economic Analysis of Model Validation for a Challenge Problem

Topics: Failure, Probability, Testing, Calibration, Modeling, Finite element model

Journal Articles

Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility

Lauren L. Beghini, Patricia D. Hough

J. Verif. Valid. Uncert. March 2016, 1(1): 011002.

Paper No: VVUQ-15-1009

https://doi.org/10.1115/1.4032369

Published Online: February 19, 2016

View Article titled, Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility

Topics: Calibration, Errors, Failure, Pressure, Probability, Uncertainty, Stress, Uncertainty quantification, Displacement, Sensitivity analysis

Journal Articles

Probability Bounds Analysis Applied to the Sandia Verification and Validation Challenge Problem

Aniruddha Choudhary, Ian T. Voyles, Christopher J. Roy, William L. Oberkampf, Mayuresh Patil

J. Verif. Valid. Uncert. March 2016, 1(1): 011003.

Paper No: VVUQ-15-1010

https://doi.org/10.1115/1.4031285

Published Online: February 19, 2016

View Article titled, Probability Bounds Analysis Applied to the Sandia Verification and Validation Challenge Problem

Topics: Uncertainty, Probability, Stress

Journal Articles

Interval Predictor Models With a Linear Parameter Dependency

Luis G. Crespo, Sean P. Kenny, Daniel P. Giesy

J. Verif. Valid. Uncert. June 2016, 1(2): 021007.

Paper No: VVUQ-15-1019

https://doi.org/10.1115/1.4032070

Published Online: January 6, 2016

View Article titled, Interval Predictor Models With a Linear Parameter Dependency

Topics: Reliability, Uncertainty, Probability, Errors

Journal Articles

Reliability Analysis With Model Uncertainty Coupling With Parameter and Experiment Uncertainties: A Case Study of 2014 Verification and Validation Challenge Problem

Zhimin Xi, Ren-Jye Yang

J. Verif. Valid. Uncert. March 2016, 1(1): 011005.

Paper No: VVUQ-15-1011

https://doi.org/10.1115/1.4031984

Published Online: December 14, 2015

View Article titled, Reliability Analysis With Model Uncertainty Coupling With Parameter and Experiment Uncertainties: A Case Study of 2014 Verification and Validation Challenge Problem

Topics: Design, Event history analysis, Modeling, Uncertainty, Uncertainty quantification, Approximation, Displacement, Calibration, Stress, Probability

Journal citation

NARROW

Probabilities of Agreement for Computational Model Validation

Multi-Metric Validation Under Uncertainty for Multivariate Model Outputs and Limited Measurements

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

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)

Predictive Capability Maturity Quantification Using Bayesian Network

Models, Uncertainty, and the Sandia V&V Challenge Problem

A Unifying Framework for Probabilistic Validation Metrics

Validation of Notch Sensitivity Factors

Estimating Physics Models and Quantifying Their Uncertainty Using Optimization With a Bayesian Objective Function

A General Methodology for Uncertainty Quantification in Engineering Analyses Using a Credible Probability Box

A Robust Approach to Quantification of Margin and Uncertainty

Computationally Efficient Variational Approximations for Bayesian Inverse Problems

Why Do Verification and Validation?

Economic Analysis of Model Validation for a Challenge Problem

Sandia Verification and Validation Challenge Problem: A PCMM-Based Approach to Assessing Prediction Credibility

Probability Bounds Analysis Applied to the Sandia Verification and Validation Challenge Problem

Interval Predictor Models With a Linear Parameter Dependency

Reliability Analysis With Model Uncertainty Coupling With Parameter and Experiment Uncertainties: A Case Study of 2014 Verification and Validation Challenge Problem

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only