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Journal Articles

Automatic Ground-Truth Image Labeling for Deep Neural Network Training and Evaluation Using Industrial Robotics and Motion Capture

Harrison F. Helmich, Charles J. Doherty, Donald H. Costello, Michael D. M. Kutzer

Publisher: ASME

J. Verif. Valid. Uncert. June 2024, 9(2): 021001.

Paper No: VVUQ-23-1042

https://doi.org/10.1115/1.4064311

Published Online: June 21, 2024

View Article titled, Automatic Ground-Truth Image Labeling for Deep Neural Network Training and Evaluation Using Industrial Robotics and Motion Capture

Topics: Calibration, Data acquisition, Robotics, Artificial neural networks, Feedback, Deep neural networks, Aviation, Design, Errors, Collisions (Physics)

Journal Articles

A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves

David A. Najera-Flores, Jonel Ortiz, Moheimin Y. Khan, Robert J. Kuether, Paul R. Miles

Publisher: ASME

J. Verif. Valid. Uncert. June 2024, 9(2): 021003.

Paper No: VVUQ-23-1051

https://doi.org/10.1115/1.4064776

Published Online: June 21, 2024

View Article titled, A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves

Topics: Artificial neural networks, Physics, Friction, Design, Simulation, Finite element model, Calibration, Sensitivity analysis, Trains

Journal Articles

Variability Estimation in a Nonlinear Crack Growth Simulation Model With Controlled Parameters Using Designed Experiments Testing

Seungju Yeo, Paul Funkenbusch, Hesam Askari

Publisher: ASME

J. Verif. Valid. Uncert. September 2023, 8(3): 031005.

Paper No: VVUQ-23-1017

https://doi.org/10.1115/1.4064053

Published Online: November 30, 2023

View Article titled, Variability Estimation in a Nonlinear Crack Growth Simulation Model With Controlled Parameters Using Designed Experiments Testing

Topics: Design, Displacement, Errors, Fracture (Materials), Simulation models, Simulation

Includes: Supplementary data

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

Verification and Validation of High-Fidelity Open-Source Simulation Tools for Supersonic Aircraft Aerodynamic Analysis

Henry H. Stoldt, Artem Korobenko, Paul Ziade, Craig T. Johansen

Publisher: ASME

J. Verif. Valid. Uncert. December 2021, 6(4): 041005.

Paper No: VVUQ-21-1021

https://doi.org/10.1115/1.4052150

Published Online: September 14, 2021

View Article titled, Verification and Validation of High-Fidelity Open-Source Simulation Tools for Supersonic Aircraft Aerodynamic Analysis

Topics: Aircraft, Errors, Flow (Dynamics), Pressure, Shock tubes, Simulation, Turbulence, Uncertainty, Wings, Stability

Journal Articles

Optimal Selection of Model Validation Experiments: Guided by Coverage

Robert Hällqvist, Robert Braun, Magnus Eek, Petter Krus

Publisher: ASME

J. Verif. Valid. Uncert. September 2021, 6(3): 031006.

Paper No: VVUQ-21-1003

https://doi.org/10.1115/1.4051497

Published Online: July 19, 2021

View Article titled, Optimal Selection of Model Validation Experiments: Guided by Coverage

Topics: Aircraft, Design, Model validation, Modeling, Optimization, Simulation, Fuels, Fuel consumption

Journal Articles

Prediction of Structural Reliability Through an Alternative Variability-Based Methodology

Kyle Haas

Publisher: ASME

J. Verif. Valid. Uncert. September 2021, 6(3): 031001.

Paper No: VVUQ-19-1015

https://doi.org/10.1115/1.4050785

Published Online: May 6, 2021

View Article titled, Prediction of Structural Reliability Through an Alternative Variability-Based Methodology

Topics: Reliability, Stability, Failure, Topology, Artificial neural networks, Design, Uncertainty

Journal Articles

Simultaneous Bayesian Calibration and Engineering Design With an Application to a Vibration Isolation System

Carl Ehrett, D. Andrew Brown, Christopher Kitchens, Xinyue Xu, Roland Platz, Sez Atamturktur

Publisher: ASME

J. Verif. Valid. Uncert. March 2021, 6(1): 011007.

Paper No: VVUQ-20-1047

https://doi.org/10.1115/1.4050075

Published Online: March 9, 2021

View Article titled, Simultaneous Bayesian Calibration and Engineering Design With an Application to a Vibration Isolation System

Topics: Calibration, Design, Vibration isolation, Performance

Journal Articles

Truncation Error Based Mesh Optimization

Charles W. Jackson, Christopher J. Roy, Christopher R. Schrock

Publisher: ASME

J. Verif. Valid. Uncert. December 2020, 5(4): 041003.

Paper No: VVUQ-19-1032

https://doi.org/10.1115/1.4049038

Published Online: November 23, 2020

View Article titled, Truncation Error Based Mesh Optimization

Topics: Density, Optimization, Springs, Errors, Design

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

Statistics for Testing Under Adverse Conditions

Leonard F. Pease, Kevin K. Anderson, Judith Ann Bamberger, Michael J. Minette

Publisher: ASME

J. Verif. Valid. Uncert. June 2019, 4(2): 021007.

Paper No: VVUQ-18-1037

https://doi.org/10.1115/1.4045117

Published Online: November 11, 2019

View Article titled, Statistics for Testing Under Adverse Conditions

Topics: Testing, Design, Statistics

Journal Articles

An Adaptive Response Surface Methodology Based on Active Subspaces for Mixed Random and Interval Uncertainties

Xingzhi Hu, Yanhui Duan, Ruili Wang, Xiao Liang, Jiangtao Chen

Publisher: ASME

J. Verif. Valid. Uncert. June 2019, 4(2): 021006.

Paper No: VVUQ-18-1032

https://doi.org/10.1115/1.4045200

Published Online: November 11, 2019

View Article titled, An Adaptive Response Surface Methodology Based on Active Subspaces for Mixed Random and Interval Uncertainties

Topics: Dimensions, Response surface methodology, Uncertainty, Design, Errors

Journal Articles

A Systematic Validation of a Francis Turbine Under Design and Off-Design Loads

Chirag Trivedi

Publisher: ASME

J. Verif. Valid. Uncert. March 2019, 4(1): 011003.

Paper No: VVUQ-17-1018

https://doi.org/10.1115/1.4043965

Published Online: June 20, 2019

View Article titled, A Systematic Validation of a Francis Turbine Under Design and Off-Design Loads

Topics: Errors, Flow (Dynamics), Francis turbines, Hydraulic turbines, Pressure, Turbines, Stress, Torque, Turbulence, Computer simulation

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

Publisher: ASME

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

Parameterization of Large Variability Using the Hyper-Dual Meta-Model

Matthew S. Bonney, Daniel C. Kammer

Publisher: ASME

J. Verif. Valid. Uncert. March 2018, 3(1): 011001.

Paper No: VVUQ-17-1016

https://doi.org/10.1115/1.4040476

Published Online: June 18, 2018

View Article titled, Parameterization of Large Variability Using the Hyper-Dual Meta-Model

Topics: Design, Errors, Finite element analysis, Materials properties, Polynomials, Simulation, Stiffness, Geometry, Aerospace industry, Brakes

Journal Articles

Efficient Uncertainty Propagation for High-Fidelity Simulations With Large Parameter Spaces: Application to Stiffened Plate Buckling

Ken Nahshon, Nicholas Reynolds, Michael D. Shields

Publisher: ASME

J. Verif. Valid. Uncert. March 2018, 3(1): 011003.

Paper No: VVUQ-17-1034

https://doi.org/10.1115/1.4039836

Published Online: June 18, 2018

View Article titled, Efficient Uncertainty Propagation for High-Fidelity Simulations With Large Parameter Spaces: Application to Stiffened Plate Buckling

Topics: Buckling, Simulation, Uncertainty, Uncertainty quantification, Design

Journal Articles

Model Validation of Functional Responses Across Experimental Regions Using Functional Regression Extensions to the CORA Objective Rating System

Scott M. Storm, Raymond R. Hill, Joseph J. Pignatiello, G. Geoffrey Vining, Edward D. White

Publisher: ASME

J. Verif. Valid. Uncert. December 2017, 2(4): 041004.

Paper No: VVUQ-17-1029

https://doi.org/10.1115/1.4039303

Published Online: March 5, 2018

View Article titled, Model Validation of Functional Responses Across Experimental Regions Using Functional Regression Extensions to the CORA Objective Rating System

Topics: Design, Model validation, Shapes, Interpolation, Simulation models, Modeling, Errors, Simulation, Regression analysis

Journal Articles

Global Optimization Under Uncertainty and Uncertainty Quantification Applied to Tractor-Trailer Base Flaps

Jacob A. Freeman, Christopher J. Roy

Publisher: ASME

J. Verif. Valid. Uncert. June 2016, 1(2): 021008.

Paper No: VVUQ-15-1033

https://doi.org/10.1115/1.4033289

Published Online: May 3, 2016

View Article titled, Global Optimization Under Uncertainty and Uncertainty Quantification Applied to Tractor-Trailer Base Flaps

Topics: Design, Flow (Dynamics), Optimization, Uncertainty, Deflection, Drag (Fluid dynamics)

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

Publisher: ASME

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

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Supplemental Material

Automatic Ground-Truth Image Labeling for Deep Neural Network Training and Evaluation Using Industrial Robotics and Motion Capture

A Bayesian Multi-Fidelity Neural Network to Predict Nonlinear Frequency Backbone Curves

Variability Estimation in a Nonlinear Crack Growth Simulation Model With Controlled Parameters Using Designed Experiments Testing

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

Verification and Validation of High-Fidelity Open-Source Simulation Tools for Supersonic Aircraft Aerodynamic Analysis

Optimal Selection of Model Validation Experiments: Guided by Coverage

Prediction of Structural Reliability Through an Alternative Variability-Based Methodology

Simultaneous Bayesian Calibration and Engineering Design With an Application to a Vibration Isolation System

Truncation Error Based Mesh Optimization

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

Statistics for Testing Under Adverse Conditions

An Adaptive Response Surface Methodology Based on Active Subspaces for Mixed Random and Interval Uncertainties

A Systematic Validation of a Francis Turbine Under Design and Off-Design Loads

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

Parameterization of Large Variability Using the Hyper-Dual Meta-Model

Efficient Uncertainty Propagation for High-Fidelity Simulations With Large Parameter Spaces: Application to Stiffened Plate Buckling

Model Validation of Functional Responses Across Experimental Regions Using Functional Regression Extensions to the CORA Objective Rating System

Global Optimization Under Uncertainty and Uncertainty Quantification Applied to Tractor-Trailer Base Flaps

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

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