Using digital image correlation (DIC) to measure railway ballast movement in full-scale laboratory testing of sleeper lateral resistance

Jacob W Whittle, Stephen Danks, Iwo Słodczyk, David I Fletcher
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Abstract

A fast and accurate method is described for determining the surface movement of railway ballast during a full-scale lateral resistance test. The proposed method utilises commodity camera equipment and open-source Digital Image Correlation (DIC) algorithms, to track individual ballast particles. It does not require time intensive ballast preparation. Tests have been performed under ambient and floodlit conditions, using colour and greyscale processing routes. The results are compared against direct measurements from lateral resistance tests to assess the accuracy of the proposed method, with a range of absolute maximum error between 0.9% and 3.4% under different laboratory conditions. The study shows that this technique is a viable way to track and measure ballast and sleeper movement over wide areas in near real time, which will lead to an increased understanding of the way ballast interactions influence track behaviour.
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在枕木横向阻力全尺寸实验室测试中使用数字图像相关性(DIC)测量铁路道碴移动情况
本文介绍了一种快速、准确的方法,用于确定全面横向阻力测试期间铁路道碴的表面移动情况。所提出的方法利用商品摄像设备和开源数字图像相关(DIC)算法来跟踪单个道碴颗粒。该方法不需要耗费大量时间准备道碴。测试在环境和泛光照明条件下进行,采用彩色和灰度处理路线。测试结果与横向阻力测试的直接测量结果进行了比较,以评估所建议方法的准确性,在不同的实验室条件下,绝对最大误差范围在 0.9% 到 3.4% 之间。研究结果表明,该技术是近乎实时地跟踪和测量大范围无砟轨道和枕木运动的可行方法,这将有助于加深对无砟轨道相互作用影响轨道行为方式的理解。
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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来源期刊
CiteScore
4.80
自引率
10.00%
发文量
91
审稿时长
7 months
期刊介绍: The Journal of Rail and Rapid Transit is devoted to engineering in its widest interpretation applicable to rail and rapid transit. The Journal aims to promote sharing of technical knowledge, ideas and experience between engineers and researchers working in the railway field.
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