Artificial intelligent technology applications for bridge scour

Y. B. Lin, X. Q. Liu, K. C. Chang, T. K. Lin, P. S. Yang, C. C.K. Shen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Artificial Intelligent (AI) Technology has been becoming more practical and important due to their enhanced accuracy and extended applications in recent years. Bridge scour failures have been reported frequently around the world. Hydraulic structures constitute the most vulnerable elements of transportation infrastructure. Recent increases in precipitation have resulted in severe and more frequent flash flooding incidents. This has put bridges over waterways at a higher risk of failure due to scour. Plus the applications of AI technology, this study presents a sensory system for measuring scour depth variation and sediment deposition processes in the vicinity of the foundations to underpin systems for early warning of impending structural failure. This bridge multi-hazards early warning system has been successfully demonstrated in the field of Taiwan river basins are provided.

Original languageEnglish
Title of host publicationBridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020
EditorsHiroshi Yokota, Dan M. Frangopol
PublisherCRC Press/Balkema
Pages2542-2545
Number of pages4
ISBN (Electronic)9780367232788
DOIs
StatePublished - 2021
Event10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020 - Sapporo, Japan
Duration: 11 Apr 202115 Apr 2021

Publication series

NameBridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations - Proceedings of the 10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020

Conference

Conference10th International Conference on Bridge Maintenaince, Safety and Management, IABMAS 2020
Country/TerritoryJapan
CitySapporo
Period11/04/2115/04/21

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