Evaluation model to predict bridge scour status based on rainfall events

Chung-Wei Feng, Hsun Yi Huang, Yu Wen Hong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Bridge scour is a long-term process that occurs underwater and cannot be observed directly. Thus, bridge failure due to scour tends to occur suddenly and cause disasters. To prevent bridge scour failure and disasters, an evaluation model to plan maintenance against bridge scour is necessary. This paper proposes a model that integrates a genetic algorithm, artificial neural networks, and Monte Carlo simulation to predict the bridge scour status as a reference for maintenance plans. To handle the relative lack of data with regard to long-term records, rainfall events are introduced for modeling, and extreme climate scenarios are considered. As a case study, a real bridge was evaluated, and the results were used as a reference for a maintenance plan.

Original languageEnglish
Title of host publicationEnvironment, Energy and Sustainable Development - Proceedings of the 2013 International Conference on Frontier of Energy and Environment Engineering, ICFEEE 2013
Pages493-497
Number of pages5
Publication statusPublished - 2014 Mar 10
Event2013 2nd International Conference on Frontiers of Energy and Environment Engineering, ICFEEE 2013 - Hong Kong, China
Duration: 2013 Nov 282013 Nov 29

Publication series

NameEnvironment, Energy and Sustainable Development - Proceedings of the 2013 International Conference on Frontier of Energy and Environment Engineering, ICFEEE 2013
Volume1

Other

Other2013 2nd International Conference on Frontiers of Energy and Environment Engineering, ICFEEE 2013
CountryChina
CityHong Kong
Period13-11-2813-11-29

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

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