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Journal Articles

A Validation Study on Dynamic Response and Failure Analysis of Large Unconfined Pipes under Localized Blast Loading Using an Explicit Dynamic Approach

Accepted Manuscript
Nuttapoom Prasitpuriprecha, Sirawit Namchantra, Jetsadaporn Priyadumkol, Tinnapob Phengpom, Chakrit Suvanjumrat, Machimontorn Promtong
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert.
Paper No: VVUQ-23-1043
https://doi.org/10.1115/1.4067251
Published Online: November 27, 2024
View Article titled, A Validation Study on Dynamic Response and Failure Analysis of Large Unconfined Pipes under Localized Blast Loading Using an Explicit Dynamic Approach
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Topics: Dynamic response, Failure analysis, Pipes, Explosives, Deformation, Explosions, Die cutting, Engineering simulation, Failure, Shearing (Deformation)
Journal Articles

Reliability Analysis for Rotate Vector Reducer by Combining Polynomial Chaos Expansion and Saddlepoint Approximation Considering Multi-Failure Modes

Shunqi Yang, Huipeng Xiao, Pan Lu, Guohua Xu, Hao Li, Xiaoling Zhang
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. June 2024, 9(2): 021007.
Paper No: VVUQ-23-1055
https://doi.org/10.1115/1.4065690
Published Online: August 2, 2024
View Article titled, Reliability Analysis for Rotate Vector Reducer by Combining Polynomial Chaos Expansion and Saddlepoint Approximation Considering Multi-Failure Modes
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Topics: Approximation, Chaos, Errors, Event history analysis, Failure, Failure mechanisms, Gears, Polynomials, Reliability, Simulation
Journal Articles

A Curved Surface Integral Method for Reliability Analysis of Multiple Failure Modes System With Nonoverlapping Failure Domains

Zhenzhong Chen, Haoxun Mu, Xiaoke Li
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. June 2024, 9(2): 021006.
Paper No: VVUQ-23-1053
https://doi.org/10.1115/1.4065857
Published Online: August 2, 2024
View Article titled, A Curved Surface Integral Method for Reliability Analysis of Multiple Failure Modes System With Nonoverlapping Failure Domains
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Topics: Event history analysis, Failure, Failure mechanisms, Probability, Reliability
Journal Articles

Approximate Integral Method for Nonlinear Reliability Analysis

Zhenzhong Chen, Guiming Qiu, Xiaoke Li, Rui Jin
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. June 2024, 9(2): 021004.
Paper No: VVUQ-23-1052
https://doi.org/10.1115/1.4065183
Published Online: June 21, 2024
View Article titled, Approximate Integral Method for Nonlinear Reliability Analysis
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Topics: Event history analysis, Failure, Probability, Reliability, Simulation
Journal Articles

Quantifying Uncertainty of Damage in Composites Using a Quasi Monte Carlo Technique

Emil J. Pitz, Kishore V. Pochiraju
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. March 2022, 7(1): 011004.
Paper No: VVUQ-21-1025
https://doi.org/10.1115/1.4052895
Published Online: December 14, 2021
View Article titled, Quantifying Uncertainty of Damage in Composites Using a Quasi Monte Carlo Technique
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Topics: Composite materials, Damage, Fracture (Materials), Simulation, Engineering simulation, Uncertainty, Failure
Journal Articles

Processing Aleatory and Epistemic Uncertainties in Experimental Data From Sparse Replicate Tests of Stochastic Systems for Real-Space Model Validation

Vicente J. Romero, Amalia R. Black
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. September 2021, 6(3): 031003.
Paper No: VVUQ-20-1037
https://doi.org/10.1115/1.4051069
Published Online: June 17, 2021
View Article titled, Processing Aleatory and Epistemic Uncertainties in Experimental Data From Sparse Replicate Tests of Stochastic Systems for Real-Space Model Validation
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Topics: Uncertainty, Failure, Model validation
Journal Articles

Prediction of Structural Reliability Through an Alternative Variability-Based Methodology

Kyle Haas
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
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
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Topics: Reliability, Stability, Failure, Topology, Artificial neural networks, Design, Uncertainty
Journal Articles

Statistical Methodology for a Quantified Validation of Sodium Fast Reactor Simulation Tools

N. Marie, A. Marrel, K. Herbreteau
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
J. Verif. Valid. Uncert. September 2019, 4(3): 031002.
Paper No: VVUQ-19-1006
https://doi.org/10.1115/1.4045233
Published Online: November 11, 2019
View Article titled, Statistical Methodology for a Quantified Validation of Sodium Fast Reactor Simulation Tools
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Topics: Failure, Fuels, Simulation, Transients (Dynamics), Uncertainty, Sensitivity analysis, Sodium, Temperature, Modeling, Accidents
Journal Articles

Validation of Notch Sensitivity Factors

Barna Szabó, Ricardo Actis, David Rusk
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
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
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Topics: Aluminum alloys, Calibration, Cycles, Fatigue limit, Stress, Probability, Failure, Uncertainty quantification
Journal Articles

A Robust Approach to Quantification of Margin and Uncertainty

Daniel J. Segalman, Thomas L. Paez, Lara E. Bauman
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
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
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Topics: Failure, Probability, Stress, Uncertainty
Journal Articles

Why Do Verification and Validation?

Kenneth T. Hu, Thomas L. Paez
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
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?
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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
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
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
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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
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
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
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Topics: Calibration, Errors, Failure, Pressure, Probability, Uncertainty, Stress, Uncertainty quantification, Displacement, Sensitivity analysis