Effect of image acquisition and processing parameters on the estimation of crowd-induced dynamic loading on stadium grandstands

S. Turrisi, E. Zappa, A. Cigada, Miguel Ruiz Vivanco, Nerea Carrera Avin
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引用次数: 2

Abstract

In recent years, an increasing number of studies have been developed to assess the dynamic response of structures induced by human loading. Among them, stadiums or sport arenas raise the major interest because of the presence of active people during matches and concerts, leading to high levels of vibrations on the grandstands. To deal with these problems and to guarantee safety during events, the prediction of the force generated by the motion of a large crowd becomes a relevant task. Thanks to its ability to provide full-field displacements even in case of low-resolution images and crowded areas, many studies demonstrate the effectiveness Digital Image Correlation (DIC) for the estimation of crowd motion and induced loading. In this work, a detailed study of the most influencing image acquisition and processing parameters on the accuracy of DIC measurements is presented, in case of images acquired during real events like concerts or football matches. Some values are recommended to be used for future works involving this type of applications.
图像采集和处理参数对体育场看台人群动态载荷估计的影响
近年来,对人为荷载作用下结构动力响应的研究越来越多。其中,由于比赛和音乐会期间活跃人群的存在,体育场馆或体育竞技场提高了人们的主要兴趣,导致看台上的高度振动。为了解决这些问题并保证赛事期间的安全,预测大量人群运动产生的力就成为一项相关的任务。由于能够在低分辨率图像和拥挤区域提供全场位移,许多研究证明了数字图像相关(DIC)在估计人群运动和诱导载荷方面的有效性。在这项工作中,详细研究了在音乐会或足球比赛等真实事件中获取的图像中,对DIC测量精度影响最大的图像采集和处理参数。建议在涉及此类应用程序的未来工作中使用一些值。
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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