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Use of Unmanned Aerial Vehicle Photogrammetry to Obtain Topographical Information to Improve Bridge Risk Assessment

机译:使用无人机摄影测量技术获取地形信息以改善桥梁风险评估

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摘要

Bridges, as all objects in road networks, are built to provide a specified level of service over a specified time period. This level of service ensures that acceptable levels of health, safety, and prosperity of society are guaranteed. The level of service, required from the transportation infrastructure, changes over time, as does the ability of infrastructure to provide it. The extent of maintenance is influenced by gradual deterioration, such as that caused by chloride-induced corrosion of concrete, and sudden deterioration such as that caused by the occurrence of scour resulting from extreme floods. To ensure that infrastructure provides the required service levels, its performance needs to be monitored. Determining how monitoring is to be done is a trade-off between accuracy and cost. Ideally, one will have access to accurate but inexpensive monitoring techniques. This paper contains the results of an investigation into the use of an unmanned aerial vehicle and modern photogrammetric technology to obtain topographical information to apply in bridge risk assessment. The unmanned aerial vehicle was used to take georeferenced images. With the images and photogrammetric technology, a three-dimensional (3D) mesh of the terrain was generated. This mesh was then converted to a computational mesh, which could be used to run computational fluid dynamic simulations during a bridge risk assessment. The investigated bridge was a single span concrete bridge in the Canton of Grisons, Switzerland. The hydraulic events, predicted by the developed model, correspond with historical observations, indicating that the topographical information collected is sufficiently accurate to be used to simulate complex flow situations, which can be used in bridge risk assessments. (c) 2017 American Society of Civil Engineers.
机译:桥梁作为道路网络中的所有对象,其构建目的是在指定时间段内提供指定级别的服务。这种服务水平确保了可接受的健康,安全和社会繁荣水平。交通基础设施所需的服务水平会随着时间而变化,基础设施提供服务的能力也会随着时间而变化。维护的程度受逐渐恶化的影响,例如由氯化物引起的混凝土腐蚀所引起的逐渐恶化,以及由于极端洪水引起的冲刷而引起的突然恶化。为确保基础架构提供所需的服务级别,需要对其性能进行监控。确定如何进行监控是准确性和成本之间的权衡。理想情况下,人们将可以使用准确但便宜的监控技术。本文包含使用无人飞行器和现代摄影测量技术来获取地形信息以应用于桥梁风险评估的调查结果。无人机被用来拍摄地理参考图像。利用图像和摄影测量技术,生成了地形的三维(3D)网格。然后将此网格转换为计算网格,该网格可在桥梁风险评估期间用于运行计算流体动力学模拟。被调查的桥梁是瑞士格里森斯州的单跨混凝土桥梁。所开发的模型预测的水力事件与历史观测结果相对应,表明所收集的地形信息足够准确,可以用来模拟复杂的流动情况,从而可以用于桥梁风险评估。 (c)2017年美国土木工程师学会。

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  • 来源
    《Journal of Infrastructure Systems》 |2018年第1期|04017041.1-04017041.14|共14页
  • 作者单位

    Swiss Fed Inst Technol, Inst Construct & Infrastruct Management, CH-8093 Zurich, Switzerland;

    Swiss Fed Inst Technol, Inst Construct & Infrastruct Management, CH-8093 Zurich, Switzerland;

    Swiss Fed Inst Technol, Inst Construct & Infrastruct Management, CH-8093 Zurich, Switzerland;

    Swiss Fed Inst Technol, Inst Construct & Infrastruct Management, CH-8093 Zurich, Switzerland;

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