Railway Track Stress–Strain Analysis Using High-Precision Accelerometers

Abstract

We propose a new approach for railway path diagnostics on the basis of track line stress–strain analysis using the data provided by high-precision accelerometers. This type of sensor provides sufficient accuracy with lower costs, and enables the development of a railway digital twin, according to the concept of the Internet of Things. The installation of sensors on a railway track along its entire length allows real-time monitoring of the states of the technical parameters of the railway track, and using mathematical methods to evaluate its wear on the basis of constantly received data. This paper presents an original 3D model of a railway track line and the results of its analysis using a finite element method. To test the model, we performed an analysis of the normal stresses and deformations in the elements of a railway track by simulating the impact of rolling stock on a section of a railway track with intermediate rail fastenings, ZhBR-65SH. The research results were probated and tested at the testing ground of the Kuibyshev branch of Russian Railways, the Samara track. The proposed approach makes it possible to determine the load of the track, and knowing the movement of the rail, to calculate the structural stress in the elements of the railway track, to constantly monitor the parameters of the slope and rail subsidence.

A Systematic Mapping Study of Digital Twins for Diagnosis in Transportation

“…While their work is performed on a bridge, they are concerned about the flatness of the road on top. subject purpose railway power system [61] decrease failure risk, predict destruction of electric equipment railway tracks [62] determine track load, calculate structural stress high-speed train [99] enable new maintenance paradigms railway wheelset, railway pantograph [22] monitor state of railway infrastructure and vehicle, enable prognostic health management railway turnouts [63] estimate stress change railway [64] predictive maintenance railway point machine [65] enable safe train operations light rail transit [66] forecast remaining useful life, prescribe maintenance plans high-speed railway [67] improve infrastructure management, ensure safety railway infrastructure [68] integrate models into holistic platform…”

“…Table III lists applications of digital twins towards trains and railway infrastructure. Estimating stress in tracks [62] and turnouts [63] appear as focuses on their own, as does estimating the position and adhesion of wheels [40]. Researchers are also concerned about decreasing the risk of failure and operating trains safely [61], [65].…”

Digital Twin for Railway: A Comprehensive Survey

“…It is considered a main source of data used by [56] to develop a railway crossings DT targeting evaluation and upkeeping forecasting, and in [85] for track line assessment based on the rail stress-strain evaluation. • ASHVIN IoT platform: It can enable data acquisition from sensors and actuators installed in railway infrastructure, which can then be processed and analyzed by BIM tools to monitor the condition of the infrastructure as leveraged in [68].…”

Advanced Railway Infrastructures Engineering

“…Avsievich et al [11] proposed a new approach for railway path diagnostics on the basis of track line stress-strain analysis using the data provided by high-precision accelerometers. The research results were conducted at the testing ground of the Kuibyshev branch of Russian Railways, the Samara track.…”