TY - GEN
T1 - Analysis of Steel Bridge Trunk Conditions Based on Loads and Corrosion Levels with Fuzzy Sugeno
AU - Kindhi, Berlian Al
AU - Sutrisno, Wahyuniarsih
AU - Triana, Masca Indra
AU - Fauzi, Aan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Bridges built with reinforced concrete base materials, over time, the reinforcing steel is likely to corrode. Corrosion can be caused by the presence of electrolyte fluid that propagates around the reinforcement. The humidity level of the surrounding air can also trigger the corrosion of steel. Steel that has a high corrosion rate, can cause the bridge to collapse if it supports a heavy load it can result in a fatal accident. One solution is to check the level of corrosion on steel bridges regularly. The results of these checks can be used for further actions on steel. In this study, we propose a fuzzy method that is able to rate the corrosion rate of a steel point on a bridge. The input parameters of the proposed Fuzzy Logic are the load and corrosion rate by generating the condition of the bridge. The results of the fuzzy analysis are recommendations for the corrosion rate of steel, making it easier for field officers to carry out maintenance in accordance with the condition of the steel. The test results show that the Fuzzy method is able to analyze the condition of the bridge for the accident prevention process because the bridge collapses properly.
AB - Bridges built with reinforced concrete base materials, over time, the reinforcing steel is likely to corrode. Corrosion can be caused by the presence of electrolyte fluid that propagates around the reinforcement. The humidity level of the surrounding air can also trigger the corrosion of steel. Steel that has a high corrosion rate, can cause the bridge to collapse if it supports a heavy load it can result in a fatal accident. One solution is to check the level of corrosion on steel bridges regularly. The results of these checks can be used for further actions on steel. In this study, we propose a fuzzy method that is able to rate the corrosion rate of a steel point on a bridge. The input parameters of the proposed Fuzzy Logic are the load and corrosion rate by generating the condition of the bridge. The results of the fuzzy analysis are recommendations for the corrosion rate of steel, making it easier for field officers to carry out maintenance in accordance with the condition of the steel. The test results show that the Fuzzy method is able to analyze the condition of the bridge for the accident prevention process because the bridge collapses properly.
KW - Concrete
KW - Corrosion
KW - Fuzzy
KW - Smart Assessment
UR - http://www.scopus.com/inward/record.url?scp=85139637547&partnerID=8YFLogxK
U2 - 10.1109/IES55876.2022.9888409
DO - 10.1109/IES55876.2022.9888409
M3 - Conference contribution
AN - SCOPUS:85139637547
T3 - IES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding
SP - 559
EP - 563
BT - IES 2022 - 2022 International Electronics Symposium
A2 - Yunanto, Andhik Ampuh
A2 - Prayogi, Yanuar Risah
A2 - Putra, Putu Agus Mahadi
A2 - Hermawan, Hendhi
A2 - Nailussa'ada, Nailussa'ada
A2 - Ruswiansari, Maretha
A2 - Ridwan, Mohamad
A2 - Gamar, Farida
A2 - Ramadhani, Afifah Dwi
A2 - Rahmawati, Weny Mistarika
A2 - Rusli, Muhammad Rizani
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 24th International Electronics Symposium, IES 2022
Y2 - 9 August 2022 through 11 August 2022
ER -
