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Journal Articles

Enhancing Bayesian Inference-Based Damage Diagnostics Through Domain Translation With Application to Miter Gates

Yichao Zeng, Zhao Zhao, Guofeng Qian, Michael D. Todd, Zhen Hu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. June 2025, 147(6): 061701.
Paper No: MD-24-1646
https://doi.org/10.1115/1.4067719
Published Online: February 24, 2025
View Articletitled, Enhancing Bayesian Inference-Based Damage Diagnostics Through Domain Translation With Application to Miter Gates
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Topics: Damage, Gates (Closures), Physics
Journal Articles

Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems

Chen Jiang, Zhen Hu, Alba Sofi, Liang Gao, Haobo Qiu, Byeng D. Youn
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Guest Editorial
ASME J. Risk Uncertainty Part B. March 2025, 11(1): 010301.
Paper No: RISK-24-1101
https://doi.org/10.1115/1.4067253
Published Online: December 9, 2024
View Articletitled, Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems
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Topics: Risk management, Uncertainty
Proceedings Papers

Recalibration of Neural Networks Using Transfer Learning for Streamflow Forecasting

Chloe Qin, Yichao Zeng, Ying Zhao, Guga Gugaratshan, Zhen Hu
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A038, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-142765
https://doi.org/10.1115/DETC2024-142765
View Paper titled, Recalibration of Neural Networks Using Transfer Learning for Streamflow Forecasting
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Topics: Artificial neural networks, Physics, Design, Climate change, Floods, Flow (Dynamics), Machine learning, Modeling, Rivers, Simulation
Proceedings Papers

Augmenting Bayesian Inference-Based Damage Diagnostics of Miter Gates Based on Image Translation

Yichao Zeng, Jice Zeng, Michael D. Todd, Zhen Hu
Proc. ASME. IDETC-CIE2024, Volume 3A: 50th Design Automation Conference (DAC), V03AT03A041, August 25–28, 2024
Publisher: American Society of Mechanical Engineers
Paper No: DETC2024-143636
https://doi.org/10.1115/DETC2024-143636
View Paper titled, Augmenting Bayesian Inference-Based Damage Diagnostics of Miter Gates Based on Image Translation
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Topics: Damage, Gates (Closures), Architecture, Cycles, Generative adversarial networks, Sensors, Structural health monitoring, Uncertainty
Journal Articles

Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks

Guofeng Qian, Jice Zeng, Zhen Hu, Michael D. Todd
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. March 2025, 11(1): 011105.
Paper No: RISK-24-1050
https://doi.org/10.1115/1.4065845
Published Online: September 26, 2024
View Articletitled, Bayesian Model Updating of Multiscale Simulations Informing Corrosion Prognostics Using Conditional Invertible Neural Networks
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Topics: Corrosion, Simulation, Artificial neural networks
Journal Articles

Fusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks

Jice Zeng, Zhenyan Gao, Yang Li, Saeed Barbat, Jin Lu, Zhen Hu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. February 2025, 147(2): 021703.
Paper No: MD-24-1338
https://doi.org/10.1115/1.4066427
Published Online: September 23, 2024
View Articletitled, Fusion of Multiple Data Sources for Vehicle Crashworthiness Prediction Using CycleGAN and Temporal Convolutional Networks
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Topics: Computer-aided engineering, Crashworthiness, Vehicles, Data fusion
Journal Articles

Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates

Yichao Zeng, Jice Zeng, Michael D. Todd, Zhen Hu
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. March 2025, 11(1): 011103.
Paper No: RISK-24-1035
https://doi.org/10.1115/1.4065755
Published Online: July 26, 2024
View Articletitled, Data Augmentation Based on Image Translation for Bayesian Inference-Based Damage Diagnostics of Miter Gates
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Topics: Damage, Gates (Closures), Sensors, Generators
Journal Articles

Special Section on Probabilistic Digital Twins in Additive Manufacturing

Zequn Wang, Zhen Hu, Moon Seung Ki, Qi Zhou, Hong-Zhong Huang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Guest Editorial
ASME J. Risk Uncertainty Part B. September 2024, 10(3): 030301.
Paper No: RISK-24-1056
https://doi.org/10.1115/1.4065929
Published Online: July 24, 2024
View Articletitled, Special Section on Probabilistic Digital Twins in Additive Manufacturing
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Topics: Additive manufacturing, Digital twin
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 Articletitled, Uncertainty Quantification With Mixed Data by Hybrid Convolutional Neural Network for Additive Manufacturing
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Journal Articles

Vehicle Crashworthiness Performance Prediction Through Fusion of Multiple Data Sources

Jice Zeng, Ying Zhao, Guosong Li, Zhenyan Gao, Yang Li, Saeed Barbat, Zhen Hu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. May 2024, 146(5): 051707.
Paper No: MD-23-1554
https://doi.org/10.1115/1.4064063
Published Online: December 15, 2023
View Articletitled, Vehicle Crashworthiness Performance Prediction Through Fusion of Multiple Data Sources
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Topics: Computer-aided engineering, Crashworthiness, Displacement, Vehicles
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

Machine Learning-Based Model Bias Correction by Fusing CAE Data With Test Data for Vehicle Crashworthiness

Jice Zeng, Ying Zhao, Guosong Li, Zhenyan Gao, Yang Li, Saeed Barbat, Zhen Hu
Proc. ASME. IDETC-CIE2023, Volume 3B: 49th Design Automation Conference (DAC), V03BT03A067, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-114999
https://doi.org/10.1115/DETC2023-114999
View Paper titled, Machine Learning-Based Model Bias Correction by Fusing CAE Data With Test Data for Vehicle Crashworthiness
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Topics: Computer-aided engineering, Crashworthiness, Machinery, Vehicles, Displacement, Dynamic analysis, Physics, Computer simulation, Data fusion, Elastic constants
Proceedings Papers

Additive Gaussian Process Regression for Metamodeling in High-Dimensional Problems

Anh Tran, Kathryn Maupin, Ankush Kumar Mishra, Zhen Hu, Chao Hu
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A012, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116555
https://doi.org/10.1115/DETC2023-116555
View Paper titled, Additive Gaussian Process Regression for Metamodeling in High-Dimensional Problems
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Topics: Approximation, Design, Dimensions, Engineering systems and industry applications, Machine learning, Metamodeling, Optimization, Sensitivity analysis, Uncertainty quantification
Proceedings Papers

Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models

Yixuan Liu, Dakota Barthlow, Zissimos P. Mourelatos, David Gorsich, Amandeep Singh, Jice Zeng, Zhen Hu
Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A004, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89928
https://doi.org/10.1115/DETC2022-89928
View Paper titled, Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models
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Topics: Mechanical admittance, Roads, Vehicles, Automated guided vehicles, Metamodeling, Simulation, Autonomous vehicles, Design, Vehicle dynamics
Proceedings Papers

A Comparative Study of Surrogate Modeling of Nonlinear Dynamic Systems

Ying Zhao, Chen Jiang, Manuel A. Vega, Michael D. Todd, Zhen Hu
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A040, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-90027
https://doi.org/10.1115/DETC2022-90027
View Paper titled, A Comparative Study of Surrogate Modeling of Nonlinear Dynamic Systems
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Topics: Metamodeling, Nonlinear dynamical systems, Artificial neural networks, Design, Dynamic models, Dynamic systems, Uncertainty
Journal Articles

Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models

Yixuan Liu, Dakota Barthlow, Zissimos P. Mourelatos, Jice Zeng, David Gorsich, Amandeep Singh, Zhen Hu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091709.
Paper No: MD-22-1162
https://doi.org/10.1115/1.4054908
Published Online: August 4, 2022
View Articletitled, Mobility Prediction of Off-Road Ground Vehicles Using a Dynamic Ensemble of NARX Models
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Topics: Mechanical admittance, Roads, Simulation, Vehicles, Automated guided vehicles
Journal Articles

A Sequential Sampling Approach for Multi-Fidelity Surrogate Modeling-Based Robust Design Optimization

Quan Lin, Qi Zhou, Jiexiang Hu, Yuansheng Cheng, Zhen Hu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. November 2022, 144(11): 111703.
Paper No: MD-22-1102
https://doi.org/10.1115/1.4054939
Published Online: July 22, 2022
View Articletitled, A Sequential Sampling Approach for Multi-Fidelity Surrogate Modeling-Based Robust Design Optimization
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Topics: Design, Modeling, Optimization, Uncertainty
Journal Articles

Reliability-Based Multivehicle Path Planning Under Uncertainty Using a Bio-Inspired Approach

Yixuan Liu, Chen Jiang, Xiaoge Zhang, Zissimos P. Mourelatos, Dakota Barthlow, David Gorsich, Amandeep Singh, Zhen Hu
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. September 2022, 144(9): 091701.
Paper No: MD-21-1520
https://doi.org/10.1115/1.4053217
Published Online: June 13, 2022
View Articletitled, Reliability-Based Multivehicle Path Planning Under Uncertainty Using a Bio-Inspired Approach
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Topics: Mechanical admittance, Path planning, Reliability, Uncertainty, Vehicles, Soil, Roads, Biomimetics, Algorithms, Simulation
Journal Articles

Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study

Ying Zhao, Chen Jiang, Manuel A. Vega, Michael D. Todd, Zhen Hu
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011001.
Paper No: JCISE-21-1386
https://doi.org/10.1115/1.4054039
Published Online: May 17, 2022
View Articletitled, Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study
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Topics: Metamodeling, Nonlinear dynamical systems, Dynamic systems, Artificial neural networks
Journal Articles

Nonlinear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Zhen Hu
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. October 2022, 144(5): 051001.
Paper No: VIB-21-1297
https://doi.org/10.1115/1.4054033
Published Online: March 18, 2022
View Articletitled, Nonlinear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods
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Topics: Equations of motion, Excitation, Random vibration, Stochastic processes, Simulation