基于神经网络的轨道夯实和几何微调分配优化

IF 9.6 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Automation in Construction Pub Date : 2025-01-16 DOI:10.1016/j.autcon.2024.105958

Congyang Xu, Huakun Sun, Siyuan Zhou, Zhiting Chang, Yanhua Guo, Ping Wang, Weijun Wu, Qing He

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引用次数: 0

摘要

本文介绍了一种用于铁路几何校正线性规划模型（RGRLPM）的神经网络求解器（NNS），该算法集成了夯实和微调操作，可实现毫米级精度的调整。该神经网络通过梯度范数过程增强，收敛速度比单纯形方法快3倍。采用动态规划的方法在夯实和微调之间分配调整量。实验表明，与手动方案相比，将10 m和5/30 m弦差限制降低到0.4倍可以提高动态性能。在减小系数为0.2时，累计整流减少5.6%，斯珀林指数下降26.9%，显示出卓越的效率和动态结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimizing Railway Track Tamping and Geometry Fine-Tuning Allocation Using a Neural Network-Based Solver

This paper introduces a Neural Network Solver (NNS) for Railway Geometry Rectification Linear Program Model (RGRLPM), integrating tamping and fine-tuning operations for millimeter-precision adjustments. The NNS, enhanced by a grad norm process for faster convergence, achieves rectification plans three times faster than the simplex method. Dynamic programming is applied to allocate adjustments between tamping and fine-tuning. Experiments reveal that reducing 10 m and 5/30 m chord offset limits to 0.4 times improves dynamic performance over manual schemes. At a 0.2 reduction factor, cumulative rectification decreases by 5.6%, and the Sperling index drops by 26.9%, highlighting superior efficiency and dynamic outcomes.

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来源期刊

Automation in Construction 工程技术-工程：土木

CiteScore

19.20

自引率

16.50%

发文量

563

审稿时长

8.5 months

期刊介绍： Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities. The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.