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.

Original languageEnglish
Title of host publicationIES 2022 - 2022 International Electronics Symposium
Subtitle of host publicationEnergy Development for Climate Change Solution and Clean Energy Transition, Proceeding
EditorsAndhik Ampuh Yunanto, Yanuar Risah Prayogi, Putu Agus Mahadi Putra, Hendhi Hermawan, Nailussa'ada Nailussa'ada, Maretha Ruswiansari, Mohamad Ridwan, Farida Gamar, Afifah Dwi Ramadhani, Weny Mistarika Rahmawati, Muhammad Rizani Rusli
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781665489713
Publication statusPublished - 2022
Event24th International Electronics Symposium, IES 2022 - Surabaya, Indonesia
Duration: 9 Aug 202211 Aug 2022

Publication series

NameIES 2022 - 2022 International Electronics Symposium: Energy Development for Climate Change Solution and Clean Energy Transition, Proceeding


Conference24th International Electronics Symposium, IES 2022


  • Concrete
  • Corrosion
  • Fuzzy
  • Smart Assessment


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