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Journal Articles

Uncertainty Quantification With Mixed Data by Hybrid Convolutional Neural Network for Additive Manufacturing

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Jianhua Yin, Zhen Hu, Xiaoping Du
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 031103.
Paper No: RISK-23-1081
https://doi.org/10.1115/1.4065444
Published Online: May 28, 2024
View Articletitled, Uncertainty Quantification With Mixed Data by Hybrid Convolutional Neural Network for Additive Manufacturing
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Proceedings Papers

An Efficient Surrogate Modeling Method for Reliability-Based Global Path Planning of Off-Road Autonomous Ground Vehicles

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Jianhua Yin, Zhen Hu, Zissimos P. Mourelatos, David Gorsich, Amandeep Singh, Seth Tau
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A052, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-117348
https://doi.org/10.1115/DETC2023-117348
View Paper titled, An Efficient Surrogate Modeling Method for Reliability-Based Global Path Planning of Off-Road Autonomous Ground Vehicles
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Topics: Autonomous vehicles, Metamodeling, Path planning, Reliability, Roads, Physics, Uncertainty
Proceedings Papers

Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events

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Huiru Li, Jianhua Yin, Xiaoping Du
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A001, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-88277
https://doi.org/10.1115/DETC2022-88277
View Paper titled, Uncertainty Quantification of Physics-Based Label-Free Deep Learning and Probabilistic Prediction of Extreme Events
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Topics: Physics, Reliability, Uncertainty, Uncertainty quantification, Artificial neural networks, Errors, Machine learning, Design, Linkages, Regression models
Proceedings Papers

Teaching Machine Learning for Analysis and Design to Mechanical Engineering Students

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Xiaoping Du, Jianhua Yin
Proc. ASME. IDETC-CIE2022, Volume 4: 19th International Conference on Design Education (DEC), V004T04A007, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-87482
https://doi.org/10.1115/DETC2022-87482
View Paper titled, Teaching Machine Learning for Analysis and Design to Mechanical Engineering Students
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Topics: Design, Machine learning, Mechanical engineering, Students, Teaching, Education, Machining
Proceedings Papers

High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables

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Jianhua Yin, Xiaoping Du
Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A012, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70067
https://doi.org/10.1115/DETC2021-70067
View Paper titled, High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables
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Topics: Accounting, Dimensions, Event history analysis, Reliability
Journal Articles

High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables

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Jianhua Yin, Xiaoping Du
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. April 2022, 144(4): 041702.
Paper No: MD-21-1105
https://doi.org/10.1115/1.4051982
Published Online: November 11, 2021
View Articletitled, High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables
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Topics: Dimensions, Event history analysis, Reliability, Failure, Probability
Includes: Supplementary data
Journal Articles

A Safety Factor Method for Reliability-Based Component Design

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Jianhua Yin, Xiaoping Du
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2021, 143(9): 091705.
Paper No: MD-20-1572
https://doi.org/10.1115/1.4049881
Published Online: March 19, 2021
View Articletitled, A Safety Factor Method for Reliability-Based Component Design
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Topics: Design, Reliability, Safety
Proceedings Papers

A Practical Safety Factor Method for Reliability-Based Component Design

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Jianhua Yin, Xiaoping Du
Proc. ASME. IDETC-CIE2020, Volume 11B: 46th Design Automation Conference (DAC), V11BT11A037, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22030
https://doi.org/10.1115/DETC2020-22030
View Paper titled, A Practical Safety Factor Method for Reliability-Based Component Design
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Topics: Design, Reliability, Safety