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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

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

Publisher: ASME

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

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

Publisher: ASME

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

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

Publisher: ASME

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

Topics: Damage, Gates (Closures), Sensors, Generators

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

Publisher: ASME

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

Topics: Computer-aided engineering, Crashworthiness, Displacement, Vehicles

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

Topics: Computer-aided engineering, Crashworthiness, Machinery, Vehicles, Displacement, Dynamic analysis, Physics, Computer simulation, Data fusion, Elastic constants

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

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

Publisher: ASME

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

Topics: Mechanical admittance, Roads, Simulation, Vehicles, Automated guided vehicles

Journal citation

NARROW

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

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

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

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

Vehicle Crashworthiness Performance Prediction Through Fusion of Multiple Data Sources

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

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

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

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