Optimal bridge maintenance algorithms considering subordinate relation with bridge members

Sungyeol Jin, Jin Hyuk Lee, Yangrok Choi, Jaehoon Lim, Jung Sik Kong

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

Abstract

Recently, social interest in the deteriorated bridges and infrastructure has been increasing. Also, studies on performance prediction and maintenance decision making of structures are underway. In this study, it was proposed an algorithm to create an optimal maintenance scenario that takes into consideration the relationship between the members of bridge that affect each other, rather than the conventional maintenance that is focused on single members of the bridge. Since maintenance scenario creation is discrete in terms of time and cost. So in this study, it is used a genetic algorithm. Each member of bridge has a subordinate relation that takes into account member damage transitions effect and the elimination of duplication maintenance cost, which was established through the Korean bridge maintenance manual and expert opinion. In order to predict the performance change of each member, the algorithm used the condition prediction model of each member of the bridge, which was created by multiple regression analysis based on the actual bridge case. Also, it used the maintenance cost model of members for cost estimation, it has created and applied it through actual maintenance case analysis. The constraint of the algorithm is set to the minimum maintenance level of the bridge by the bridge administrator. And, it was conducted the case study about real bridge model using the optimal maintenance model, analyzed the cost-effect and made maintenance scenario.

Original languageEnglish
Title of host publicationEASEC16 - Proceedings of the 16th East Asian-Pacific Conference on Structural Engineering and Construction, 2019
EditorsChien Ming Wang, Sritawat Kitipornchai, Vinh Dao
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1237-1242
Number of pages6
ISBN (Print)9789811580789
DOIs
Publication statusPublished - 2021
Event16th East Asian-Pacific Conference on Structural Engineering and Construction, 2019 - Brisbane, Australia
Duration: 2019 Dec 32019 Dec 6

Publication series

NameLecture Notes in Civil Engineering
Volume101
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference16th East Asian-Pacific Conference on Structural Engineering and Construction, 2019
Country/TerritoryAustralia
CityBrisbane
Period19/12/319/12/6

Bibliographical note

Funding Information:
Acknowledgements This research was supported by a grant (17SCIP-B128492-01) from Smart Civil Infrastructure Research Program funded by Ministry of Land, Infrastructure and Transport of Korean Government.

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2021.

Keywords

  • Condition prediction model
  • Genetic algorithm
  • Optimal bridge maintenance
  • Subordinate relation

ASJC Scopus subject areas

  • Civil and Structural Engineering

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