Miguel E. Vázquez-Méndez, Gerardo Casal, Alberte Castro, Duarte Santamarina
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引用次数: 0
摘要
火车在铁路轨道上的不断通过,会在一段时间内产生偏差,必须通过轨道校准过程定期加以纠正。它包括设计一个新的布局,称为重新创建的水平对齐(RHA),尽可能接近变形的中心轨道,同时满足铁路运营要求的技术限制。近年来,针对这一任务提出了不同的模型。本文首先提出了一种新的几何模型,该模型使用连续变量来定义水平走线(HAs),以处理圆形曲线两侧的非对称过渡曲线;其次,提出了一种优化算法,用于计算适合蜿蜒铁路路段的重建走线。这种新的数学模型使优化过程无需事先确定 HA 的几何元素(切线、圆曲线和过渡曲线)。该模型的实用性通过两个学术案例和一个实际案例进行了测试,前者显示了该模型的良好性能,后者则将该算法与工程师在西班牙西北部奥伦塞-蒙福尔特铁路线某路段采用的解决方案进行了比较。
A geometric-identification–free mathematical model for recreating nonsymmetric horizontal railway alignments
The constant passage of trains on the railways tracks causes, in the course of time, deviations that must be corrected periodically by means of a track calibration process. It consists of designing a new layout, called recreated horizontal alignment (RHA), as close as possible to the deformed center track fulfilling also the technical constraints according to the operational requirements of the railway. In recent years, different models have been proposed to address this task. This paper proposes, first, a new geometrical model that works with continuous variables for the definition of horizontal alignments (HAs) to deal with nonsymmetric transition curves at both sides of a circular curve and second, an optimization algorithm to compute the recreated alignment suitable in sinuous railway sections. This new mathematical model frees the optimization process from the need to previously identify the geometric elements (tangents, circular curves, and transition curves) of the HA. The usefulness of this model is tested with two academic examples showing its good behavior and in a real case study, where this algorithm is compared with the solution adopted by the engineers in a section of the railway line Ourense–Monforte in the NW of Spain.
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.