A smoothness control method for kilometer‐span railway bridges with analysis of track characteristics

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computer-Aided Civil and Infrastructure Engineering Pub Date : 2024-04-30 DOI:10.1111/mice.13215
Yuxiao Zhang, Jin Shi, Shehui Tan, Yingjie Wang
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Abstract

Significant dynamic deformations during the operation of kilometer‐span high‐speed railway bridges adversely affect track maintenance. This paper proposes a three‐stage smoothness control method based on a comprehensive analysis of track alignment characteristics to address this issue. In the method, historical measured data are grouped into multicategories, and reference alignments for each category are reconstructed. Then, the reference alignment category to which the track to be adjusted belongs is accurately matched. Finally, a novel smoothness optimization algorithm is designed to use the 60 m chord as the optimization unit, and the 10 m and 30 m combined chords within the unit constrain the midchord offset and vector distance difference. The proposed method was applied to formulate the maintenance scheme for the Shanghai–Suzhou–Nantong Yangtze River Bridge. The result indicates that the track smoothness improved by more than 79.7%, and the high‐speed train operational performance improved by over 64.3%, effectively enhancing the maintenance quality.
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分析轨道特性的千米跨度铁路桥梁平顺性控制方法
千米跨度的高速铁路桥梁在运行过程中会产生较大的动态变形,对轨道维护造成不利影响。针对这一问题,本文提出了一种基于轨道线形特征综合分析的三阶段平顺性控制方法。该方法将历史测量数据分为多个类别,并重建每个类别的参考线形。然后,精确匹配待调整轨道所属的参考对齐类别。最后,设计了一种新颖的平滑度优化算法,以 60 米弦线为优化单元,单元内的 10 米和 30 米组合弦线约束中弦偏移和矢量距离差。应用所提出的方法制定了沪苏通长江大桥的维护方案。结果表明,轨道平整度提高了 79.7% 以上,高速列车运行性能提高了 64.3% 以上,有效提高了维护质量。
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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