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Keywords: structural health monitoring
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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
...Guofeng Qian; Jice Zeng; Zhen Hu; Michael D. Todd Physics-based multiscale corrosion simulation plays a vital role in predicting the evolution of pitting corrosion on large civil infrastructure, contributing to a model-informed structural health monitoring strategy for risk-based asset health...
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

A Hybrid Perspective of Vision-Based Methods for Estimating Structural Displacements Based on Mask Region-Based Convolutional Neural Networks

Chuanchang Xu, Cass Wai Gwan Lai, Yangchun Wang, Jiale Hou, Zhufeng Shao, Enjian Cai, Xingjian Yang
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. June 2024, 10(2): 021107.
Paper No: RISK-23-1077
https://doi.org/10.1115/1.4064844
Published Online: March 22, 2024
...Chuanchang Xu; Cass Wai Gwan Lai; Yangchun Wang; Jiale Hou; Zhufeng Shao; Enjian Cai; Xingjian Yang Vision-based methods have shown great potential in vibration-based structural health monitoring (SHM), which can be classified as target-based and target-free methods. However, target-based methods...
View Article titled, A Hybrid Perspective of Vision-Based Methods for Estimating Structural Displacements Based on Mask Region-Based Convolutional Neural Networks
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Topics: Convolutional neural networks, Structural health monitoring
Journal Articles

Mechanics Informed Neutron Noise Monitoring to Perform Remote Condition Assessment for Reactor Vessel Internals

Gregory A. Banyay, Matthew J. Palamara, Jessica N. Preston, Stephen D. Smith
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. December 2022, 8(4): 041104.
Paper No: RISK-21-1048
https://doi.org/10.1115/1.4054444
Published Online: June 2, 2022
...Gregory A. Banyay; Matthew J. Palamara; Jessica N. Preston; Stephen D. Smith The use of neutron noise analysis in pressurized water reactors to detect and diagnose degradation represents the practice of pro-active structural health monitoring for reactor vessel internals. Recent enhancements...
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Topics: Bending (Stress), Finite element model, Heat shielding, Mode shapes, Neutrons, Noise (Sound), Reactor vessels, Structural health monitoring, Signals, Finite element analysis