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Min-Yeong Moon
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Journal Articles

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

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Min-Yeong Moon, Oishik Sen, Nirmal Kumar Rai, Nicholas J. Gaul, Kyung K. Choi, H. S. Udaykumar
Journal: Journal of Verification, Validation and Uncertainty Quantification
Publisher: ASME
Article Type: Research-Article
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 Articletitled, Confidence-Based Uncertainty Quantification and Model Validation for Simulations of High-Speed Impact Problems
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Topics: Computer simulation, Model validation, Simulation, Uncertainty, Uncertainty quantification, Copper, Errors, Density
Journal Articles

Treating Epistemic Uncertainty Using Bootstrapping Selection of Input Distribution Model for Confidence-Based Reliability Assessment

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Min-Yeong Moon, K. K. Choi, Nicholas Gaul, David Lamb
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2019, 141(3): 031402.
Paper No: MD-18-1607
https://doi.org/10.1115/1.4042149
Published Online: January 10, 2019
View Articletitled, Treating Epistemic Uncertainty Using Bootstrapping Selection of Input Distribution Model for Confidence-Based Reliability Assessment
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Topics: Reliability, Uncertainty, Simulation models
Proceedings Papers

Treating Epistemic Uncertainty Using Bootstrapping Selection of Input Distribution Model for Confidence-Based Reliability Assessment

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Min-Yeong Moon, K. K. Choi, Nicholas Gaul, David Lamb
Proc. ASME. IDETC-CIE2018, Volume 2B: 44th Design Automation Conference, V02BT03A058, August 26–29, 2018
Publisher: American Society of Mechanical Engineers
Paper No: DETC2018-85946
https://doi.org/10.1115/DETC2018-85946
View Paper titled, Treating Epistemic Uncertainty Using Bootstrapping Selection of Input Distribution Model for Confidence-Based Reliability Assessment
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Topics: Reliability, Uncertainty, Simulation models, Engineering systems and industry applications, Performance, Simulation, Testing
Journal Articles

Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data

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Min-Yeong Moon, K. K. Choi, Hyunkyoo Cho, Nicholas Gaul, David Lamb, David Gorsich
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research-Article
J. Mech. Des. March 2017, 139(3): 031404.
Paper No: MD-16-1560
https://doi.org/10.1115/1.4035679
Published Online: January 27, 2017
View Articletitled, Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data
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Topics: Design, Model validation, Probability, Failure, Simulation models
Proceedings Papers

Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data

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Min-Yeong Moon, K. K. Choi, Hyunkyoo Cho, Nicholas Gaul, David Lamb, David Gorsich
Proc. ASME. IDETC-CIE2016, Volume 2B: 42nd Design Automation Conference, V02BT03A054, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-60155
https://doi.org/10.1115/DETC2016-60155
View Paper titled, Reliability-Based Design Optimization Using Confidence-Based Model Validation for Insufficient Experimental Data
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Topics: Model validation, Reliability-based optimization, Design, Simulation models, Uncertainty, Optimization, Physics, Product testing, Reliability
Proceedings Papers

Development of a Conservative Model Validation Approach for Reliable Analysis

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Min-Yeong Moon, K. K. Choi, Hyunkyoo Cho, Nicholas Gaul, David Lamb, David Gorsich
Proc. ASME. IDETC-CIE2015, Volume 2B: 41st Design Automation Conference, V02BT03A057, August 2–5, 2015
Publisher: American Society of Mechanical Engineers
Paper No: DETC2015-46982
https://doi.org/10.1115/DETC2015-46982
View Paper titled, Development of a Conservative Model Validation Approach for Reliable Analysis
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Topics: Model validation, Simulation models, Design, Failure, Probability, Simulation, Approximation, Calibration, Event history analysis, Optimization