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Evaluation Of Railway Track Structural Conditions Using A Fuzzy - Logic Method: A Case Study

Submitted2021-01-09
Last Update2021-01-09
TitleEvaluation Of Railway Track Structural Conditions Using A Fuzzy - Logic Method: A Case Study
Author(s)Author #1
Name: Asadollah Rahmani
Org: PhD Candidate, Department of Construction Management, Faculty of Engineering, The University of Islamic Azad University, South Branch, Tehran, Iran.
Country:
Email: a_rahmani@iust.ac.ir

Author #2
Name: Seyed Mohammad Seyed-Hosseini
Org: Professor, Department of Construction Management, Faculty of Engineering, The University of Islamic Azad University, South Branch, Tehran, Iran.
Country:
Email: seyedhosseini@iust.ac.ir

Other Author(s)
Contact AuthorAuthor #2
Alt Email: seyedhosseini@iust.ac.ir
Telephone:
KeywordsFuzzy track quality index, Railway, Maintenance.
AbstractDespite the considerable number of indices developed and used of track geometry conditions, there is a lack of a reliable index representing track structural conditions. Although track structural conditions have considerable influences on track geometry conditions and consequently on safety of the track, there is a lack of sufficient studies on the development of methods by which track structural conditions can be evaluated. In this regard, a new structural index was developed in this research, using the fuzzy method. The new index objectively qualifies the overall condition of railway tracks by which precise maintenance strategy can be made. In order to evaluate the effectiveness and efficiency of the new index, its application in 163 track segments (each having one kilometer length) of a railway line was discussed. The results showed that the standard deviation (SD) of the new index is much lower than those of the currently used indices, indicating more accuracy of the new index. Moreover, the results obtained prove that the new index and the currently used index are very different in segments with severe defects. It was shown that the new index is more reliable compared to the conventional track structural condition index for short-and long-term track maintanance palnning.
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