Rail Buckling Detection Method: A Comparative Analysis of Technologies for Early Detection
A.A. Arif1 , M. R. F. Amrozi1 *, S.H.T. Utomo1
1Departemen Teknik Sipil dan Lingkungan, Universitas Gadjah Mada, Yogyakarta, INDONESIA
*Corresponding author: fahmi.amrozi@ugm.ac.id
INTISARI
The climate issue has emerged as a significant global challenge. One of the impacts of climate change on railroads is rail buckling. The lateral movement of the rail could potentially result in derailment. This project aims to evaluate the most appropriate method for detecting rail buckling in order to be applied in the UK railway network. The methodology adopted is a comprehensive literature review. All the literature utilised is derived from prior studies on the advancement of sensing technology. The UKCP18 forecasting is adapted for projecting the climate change for decades. Additionally, the Bartlett method is used to estimate buckling. The other analyses adapted is used to select the most suitable technology applied in the UK railroad. The analyses
being referred to are SWOT and multi-criteria analysis. The UKCP18 projection indicates a uniform growth throughout all regions with significant escalation occured in the southern regions of the UK. The buckle phenomena may occur between the years 2061 and 2080 for several locations. Several technologies are designed for detecting buckling phenomenon. Upon completing the SWOT and multi-criteria decision analysis, it has been determined that the integration of WSN and FBG is the optimal technology for detecting rail buckling.
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