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JX
Verified CAS / Academic Author2 Decoded Studies

Prof. Jingmang Xu

School of Civil Engineering, Beijing Jiaotong University, Beijing 100044, China

Research Publications & English Decoded Briefs

Showing 2 publications
Railway Engineering Science (铁道工程科学)2026DOI: 10.1007/s40534-025-00388-2

Investigation on the Rolling Contact Fatigue Cracks Initiation of Subway Fixed Frogs Based on Transient Dynamics

The escalating traffic density and operational speeds of subway systems have intensified fatigue damage in turnout rails, particularly within the hazardous space of fixed frogs where wheel–rail dynamic interaction is exacerbated. This study addresses the rolling contact fatigue (RCF) crack initiation behavior of a No. 9 turnout fixed frog, a configuration widely deployed in subway networks. A three-dimensional explicit transient rolling contact finite element model was developed to simulate wheel–rail interaction under varying vehicle speeds and fastener vertical stiffness conditions. The analysis focused on crack initiation locations, angles, and fatigue life. Results demonstrate that the 30 mm top width cross-section of the nose rail is the most susceptible to fatigue cracking, with cracks initiating on the rail surface. The angle between the crack initiation surface and the lateral direction ranges from 70° to 95°, while the angle relative to the vertical direction remains difficult to predict. Higher vehicle speeds significantly reduce fatigue life, whereas fastener vertical stiffness exerts a minor influence. The calculated RCF crack initiation life is approximately 24,000 cycles across three stiffness conditions. Simulation outcomes align with field survey findings, validating the model's fidelity. The established methodology provides theoretical support for optimizing fixed frog structures and predicting fatigue life in subway turnouts.

Railway Engineering Science (铁道工程科学)2026DOI: 10.1007/s40534-025-00381-9

A Full Information Expression Model for Track Irregularity Based on Stochastic Harmonic Functions in Vehicle–Turnout Structure Stochastic Vibration Analysis

Turnout irregularity governs the stochastic vibration response of vehicle–turnout coupling systems, yet frequency-domain models that preserve the statistical characteristics of each frequency point remain scarce. This study establishes a turnout irregularity full information expression model (TIFIEM) using stochastic harmonic functions (SHF) and applies it to vehicle–turnout stochastic vibration and reliability analysis. Spectral estimation trials identify the Hamming window with a 4096-point window length as optimal for turnout irregularity power spectral density (PSD) estimation, and a fifth-order polynomial is recommended for PSD fitting with minimal error. The TIFIEM reproduces randomness in amplitude, frequency, and phase; a sample size of 250 irregularity realizations minimizes the root-mean-square error against the target spectrum. PSD amplitudes at distinct frequency points follow a Chi-square distribution with 2 degrees of freedom. Application to a No. 18 turnout at 300 km/h identifies the straight switch rail 3–7 m from the switch rail tip and the point rail 53–54 m from the tip as the most wear-susceptible regions. The reliability of the vehicle–turnout structure at the crossing panel decreases to 95.8%, indicating that these zones warrant prioritized inspection.