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Large-scale monitoring of retaining structures: new approaches on the safety assessment of retaining structures using mobile mapping

机译:大规模监测保留结构:使用移动地图进行保留结构安全性评估的新方法

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摘要

In mountainous regions, the usability of roads and railway tracks strongly depends on the safety and the condition ofretaining structures. Consequently, an early detection and identification of structural degradation, damages and potentialfailure mechanisms is of major interest. Currently, single point measurements using total stations or other sensors depictthe state-of-the-art in deformation monitoring of retaining structures. Due to the large number of such structures inmountainous regions, e.g. the Alps, establishing a monitoring system for every object is unfeasible. This paper presentsan approach for a large-scale deformation monitoring with a mobile mapping system (MMS). A MMS with two highqualitylaser scanners has been installed on the roof of a standard car. A newly developed algorithm processes thegathered data in a partially automated manner in order to perform deformation analysis on the one hand and to detectstructural deficiencies (e.g. concrete spalling) on the other hand. Data of multiple (periodical) measurement campaigns ofselected retaining structures have been used to evaluate the proposed approach. It is demonstrated, that mobile mappingin combination with targeted processing algorithms is a promising, efficient and comprehensive alternative to traditionalstatic, single point monitoring solutions.
机译:在山区,道路和铁轨的可用性在很大程度上取决于安全性和建筑物的状况。因此,对结构退化,损坏和潜在的\\失败机制的早期检测和识别是非常重要的。当前,使用全站仪或其他传感器的单点测量描述了保持结构变形监测的最新技术。由于\ r \ n山区的此类结构数量众多,例如在阿尔卑斯山,为每个物体建立一个监视系统是不可行的。本文提出了使用移动制图系统(MMS)进行大规模变形监测的方法。在标准汽车的车顶上已安装了具有两个高质量\ r \ nlaser扫描仪的MMS。一种新开发的算法以部分自动化的方式处理收集的数据,以便一方面执行变形分析,另一方面检测结构缺陷(例如混凝土剥落)。选定的保留结构的多个(定期)测量活动的数据已用于评估所提出的方法。结果表明,移动制图与目标处理算法的结合是对传统的静态单点监视解决方案的有希望的,有效的和全面的替代方案。

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  • 会议地点 0277-786X;1996-756X
  • 作者单位

    Institute of Engineering Geodesy and Measurement Systems, Graz University of Technology,Steyrergasse 30, 8010 Graz, Austria slaven.kalenjuk@tugraz.at;

    Institute of Soil Mechanics, Foundation Engineering and Computational Geotechnics,Graz University of Technology, Rechbauerstraße 12, 8010 Graz, Austria;

    Institute of Engineering Geodesy and Measurement Systems, Graz University of Technology,Steyrergasse 30, 8010 Graz, Austria;

    Institute of Soil Mechanics, Foundation Engineering and Computational Geotechnics,Graz University of Technology, Rechbauerstraße 12, 8010 Graz, Austria;

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