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Jianhua Yin
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Journal Articles

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

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 Article titled, 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

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

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

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

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

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 Article titled, 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

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 Article titled, 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

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