TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Estimation of Railway Renewal Period Due to Rail Wear in Small-Radius Curves: A Data and Mechanics Integrated Approach

Accession Number:

01763572

Record Type:

Component

Abstract:

A small-radius curve is one of the weaker areas of a railway line, bearing a large amount of lateral rail-wheel interactions that often cause the rail to wear out relatively quickly past wear threshold levels. Therefore, providing a reasonable estimate for the renewal period due to rail wear in small-radius curves can not only improve the safety of railway operations but also substantially reduce maintenance cost. In light of this, this paper presents the development of a data and mechanics integrated approach (DMIA) to analyze three different types of rail wear measurements recorded from 2017 to 2018. First, the Archard wear model (a mechanics-based model) is adopted to calculate the wear growth chart under different radii. Second, based on the growth chart, the rail lifetime is estimated in million gross tonnage (MGT) of over-threshold rail wear readings, immediately as the rails reach the wear threshold. Third, considering the influence of different curve radii and the inner or outer rails on rail wear, an accelerated failure time (AFT) model (a data-driven model) is used to analyze the heterogeneity of the corrected measurement data. A survival probability is obtained with increasing gross tonnage for different curve radii. Finally, the expected MGT is calculated for rail wear-based renewal for curves with different radii, and the obtained values are compared with the corresponding values in the existing standard.

Supplemental Notes:

This paper was sponsored by TRB committee AR060 Standing Committee on Rail Transit Infrastructure Design and Maintenance.

Report/Paper Numbers:

TRBAM-21-00302

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Gao, Tianci
Li, Zihan
Wang, Qihang
Yang, Kanghua
Yang, Cuiping
Li, Chenzhong
Wang, Ping
He, Qing

Pagination:

20p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Web

Features:

Figures; References; Tables

Subject Areas:

Data and Information Technology; Maintenance and Preservation; Railroads

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-00302

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:06AM