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高速道岔钢轨磨损模型的数值模拟与实验分析

Numerical simulations and experimental analysis of high-speed turnout rails wear models.

作者信息

Li Jincheng, Hu Min, Wu Hao, Zhong Hao

机构信息

School of Rail Transportation, Shandong Jiao Tong University, Jinan, China.

School of Railway Locomotive and Vehicle Engineering, Kunming Railway Vocational and Technical College, Kunming, China.

出版信息

Sci Rep. 2025 Jul 2;15(1):22680. doi: 10.1038/s41598-025-08065-4.

DOI:10.1038/s41598-025-08065-4
PMID:40595202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12217818/
Abstract

This study analyzed different contact theories and models for simulating rail wear in the turnout areas. The typical cross-sections of the high-speed turnout switch and frog areas are selected. Normal and tangential contact models of wheel-rail are compared. A vehicle-turnout coupling dynamic model is developed in the turnout area considering the actual rail profile, the continuous traction force, and the running resistance. In addition, different wear models, update steps, wear superposition, and filtering methods are investigated in the turnout area. A simulation program in the turnout area for rail wear damage is established and compared with experimental data. The results demonstrate that the normal semi-Hertz model and the tangential semi-Hertz-based FASTSIM algorithm suit the wheel-rail contact in the turnout area. The wear model based on wear work is selected for simulating wear in the turnout area with a updating wear step size of 0.05 mm. The proposed model provides accurate rail wear values in the turnout area compared to the traditional models.

摘要

本研究分析了用于模拟道岔区域钢轨磨损的不同接触理论和模型。选取了高速道岔转辙器和辙叉区域的典型横截面。比较了轮轨的法向和切向接触模型。考虑实际钢轨轮廓、连续牵引力和运行阻力，在道岔区域建立了车辆 - 道岔耦合动力学模型。此外，还研究了道岔区域不同的磨损模型、更新步长、磨损叠加和滤波方法。建立了道岔区域钢轨磨损损伤的模拟程序，并与实验数据进行了比较。结果表明，法向半赫兹模型和基于切向半赫兹的FASTSIM算法适用于道岔区域的轮轨接触。选择基于磨损功的磨损模型来模拟道岔区域的磨损，更新磨损步长为0.05毫米。与传统模型相比，所提出的模型在道岔区域提供了准确的钢轨磨损值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/844f67fa02d5/41598_2025_8065_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/613dee0d4fd7/41598_2025_8065_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/6dfe0f069c3c/41598_2025_8065_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/5320db05c77a/41598_2025_8065_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/f9ca254f3498/41598_2025_8065_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/7e23723e7015/41598_2025_8065_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/3d0d94290625/41598_2025_8065_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/683c494e4e14/41598_2025_8065_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/9d745143863e/41598_2025_8065_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/844f67fa02d5/41598_2025_8065_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/613dee0d4fd7/41598_2025_8065_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/31e2b3b156fa/41598_2025_8065_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/75de4f5f8637/41598_2025_8065_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/51fd3b9aba70/41598_2025_8065_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/6dfe0f069c3c/41598_2025_8065_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/5320db05c77a/41598_2025_8065_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/f9ca254f3498/41598_2025_8065_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/7e23723e7015/41598_2025_8065_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/3d0d94290625/41598_2025_8065_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/683c494e4e14/41598_2025_8065_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/9d745143863e/41598_2025_8065_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5017/12217818/844f67fa02d5/41598_2025_8065_Fig12_HTML.jpg

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