Study on instrumental coupler for heavy haul train.

Saved in:
Bibliographic Details
Title: Study on instrumental coupler for heavy haul train.
Authors: Wang, Yazhao1,2,3,4 (AUTHOR), Zhou, Wei1,2,3,4 (AUTHOR) gszx_zhouwei@csu.edu.cn, Zhou, Kang5 (AUTHOR), Fang, Congcong1,2,3,4 (AUTHOR) ccfang@csu.edu.cn, Yan, Hongkai1,2,3,4,6 (AUTHOR), Wang, Zhixin1,2,3,4 (AUTHOR), Zhou, Xinyi1 (AUTHOR)
Source: Mechanics Based Design of Structures & Machines. 2025, Vol. 53 Issue 3, p1927-1949. 23p.
Subjects: Heavy elements, Finite element method, Railroads
Abstract: As a crucial load-bearing component, coupler's safety is pivotal for sustainable railway industry development and is extensively scrutinized due to its complex loading environment. However, current research predominantly concentrates on the longitudinal dynamic behavior of couplers, neglecting factors such as nodding and shaking during traversals along curves and ramps. This study proposes an innovative method aimed at identifying multiple loads on couplers, which includes longitudinal tension and compression, lateral shaking, and vertical nodding forces. A theoretical load identification method based on strain sum and difference on coupler shank faces under various loading scenarios is established by finite element analysis. To facilitate accurate measurement, Wheatstone bridges are employed for three-dimensional force measurement, facilitating strain calculation and temperature compensation. The validity of the proposed approach is confirmed through comprehensive validation, encompassing finite element simulation, laboratory experimentation, and vehicle tests. Results demonstrate the robustness of the method, with maximum load deviations of 2.32% longitudinally, 22.52% horizontally, and 19.86% vertically observed during laboratory tests. Results indicate the proposed method's accuracy and efficiency in heavy haul train coupler load assessment. [ABSTRACT FROM AUTHOR]
Copyright of Mechanics Based Design of Structures & Machines is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
Be the first to leave a comment!
You must be logged in first