Bridge pier scour prediction by multi-objective optimization using the genetic algorithm

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

Abstract

Local scour is a critical problem for the safety of bridges. In this study, a new bridge-pier-scour model is proposed by multi-objective optimization using genetic algorithm based on the traditional regression model and the inductive method. A model evaluation function has been established (HEC-18 equation, Froehlich equation, and GEP model). Two groups of field datasets; bridge scour management data base (358 sets) and FHWA (110 sets), are used to evaluate the models. Based on the model evaluation function and statistical evaluation, the new model is shown more efficient and less failed in predicting the scour depth at bridge piers.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013
PublisherDEStech Publications
Pages143-150
Number of pages8
Volume1
ISBN (Print)9781605951157
StatePublished - 2013
Event9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013 - Stanford, United States
Duration: Sep 10 2013Sep 12 2013

Other

Other9th International Workshop on Structural Health Monitoring: A Roadmap to Intelligent Structures, IWSHM 2013
CountryUnited States
CityStanford
Period9/10/139/12/13

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ASJC Scopus subject areas

  • Computer Science Applications
  • Health Information Management

Cite this

Kim, I., Yekani Fard, M., & Chattopadhyay, A. (2013). Bridge pier scour prediction by multi-objective optimization using the genetic algorithm. In Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013 (Vol. 1, pp. 143-150). DEStech Publications.