Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)

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Bridge Condition Assessment System Using The Bridge Management System (Bms) Method

(Case Study of 5 Bridges in Pali District, South Sumatra Province)

Authors
Revias Revias1, *, Efrilia Rahmadona1, Rio Marpen1
1Sriwijaya State Polytechnic, Palembang, Indonesia
*Corresponding author.
Corresponding Author
Revias Revias
Available Online 27 February 2024.
DOI
10.2991/978-94-6463-386-3_52How to use a DOI?
Keywords
Bridge Management System (BMS); Bridge Condition Assessment
Abstract

Bridge Management System or BMS is the evaluation system of bridge condition to get accuracy in management maintenance that is the purpose of maintaining the bridge age and preventing damage that could happen to the bridge structure. This research was implemented in 5 bridges in PALI district, South Sumatra Province, namely Rejosari Bridge, Penukal River Bridge, Kapur Hantu Bridge, Talang Akar Bridge, and Penukal River steel truss bridge with the input method and analyzed inspection bridge result data in location by utilizing the information bridge management system ibMS. Based on the ibMS method, the general condition value of each bridge is, such as the Rejosari bridge gets condition value 2. Penukal River Bridge obtained condition value 2, which means the condition needs damage monitoring or upcoming maintenance. Limau Hantu Bridge obtained condition value 3, which means necessary maintenance immediately. Talang Akar Bridge was acquired with condition value 2. Meanwhile for Penukal River Steel Truss Bridge obtained condition value 1. Appropriate with the average results of bridges assessment still in condition good.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
Series
Advances in Engineering Research
Publication Date
27 February 2024
ISBN
978-94-6463-386-3
ISSN
2352-5401
DOI
10.2991/978-94-6463-386-3_52How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Revias Revias
AU  - Efrilia Rahmadona
AU  - Rio Marpen
PY  - 2024
DA  - 2024/02/27
TI  - Bridge Condition Assessment System Using The Bridge Management System (Bms) Method
BT  - Proceedings of the 7th FIRST 2023 International Conference on Global Innovations (FIRST-ESCSI 2023)
PB  - Atlantis Press
SP  - 513
EP  - 521
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-386-3_52
DO  - 10.2991/978-94-6463-386-3_52
ID  - Revias2024
ER  -