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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 Article titled, 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 Article titled, 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 Article titled, 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 Article titled, 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 Article titled, 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 Article titled, Vehicle Crashworthiness Performance Prediction Through Fusion of Multiple Data Sources
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Topics: Computer-aided engineering, Crashworthiness, Displacement, Vehicles
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

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

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
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
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 Article titled, 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 Article titled, 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 Article titled, 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 Article titled, 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 Article titled, 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
Journal Articles

Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances

Sankaran Mahadevan, Paromita Nath, Zhen Hu
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Review Articles
ASME J. Risk Uncertainty Part B. March 2022, 8(1): 010801.
Paper No: RISK-21-1065
https://doi.org/10.1115/1.4053184
Published Online: January 6, 2022
View Article titled, Uncertainty Quantification for Additive Manufacturing Process Improvement: Recent Advances
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Topics: Additive manufacturing, Calibration, Optimization, Physics, Uncertainty, Uncertainty quantification, Errors, Lasers, Manufacturing
Journal Articles

Special Issue on Uncertainty Quantification and Management in Additive Manufacturing

Zhen Hu, Saideep Nannapaneni, Sankaran Mahadevan
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 2022, 8(1): 010301.
Paper No: RISK-21-1089
https://doi.org/10.1115/1.4053183
Published Online: December 27, 2021
View Article titled, Special Issue on Uncertainty Quantification and Management in Additive Manufacturing
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Topics: Additive manufacturing, Uncertainty quantification, Uncertainty
Proceedings Papers

Non-Linear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods

Dimitrios Papadimitriou, Zissimos P. Mourelatos, Zhen Hu
Proc. ASME. IDETC-CIE2021, Volume 9: 17th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), V009T09A046, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-69685
https://doi.org/10.1115/DETC2021-69685
View Paper titled, Non-Linear Random Vibrations Using Second-Order Adjoint and Projected Differentiation Methods
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Topics: Random vibration, Stochastic processes, Equations of motion, Random excitation, Simulation
Proceedings Papers

Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing

Xufeng Huang, Zhen Hu, Tingli Xie, Zhuo Wang, Lei Chen, Qi Zhou
Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A038, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-67963
https://doi.org/10.1115/DETC2021-67963
View Paper titled, Point-Cloud Neural Network Using Transfer Learning-Based Multi-Fidelity Method for Thermal Field Prediction in Additive Manufacturing
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Topics: Additive manufacturing, Artificial neural networks, Modeling