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arXiv 2112.03470cs.HCcs.GR
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虚拟现实环境下人行桥结构健康监测

Structural Health Monitoring of a Foot Bridge in Virtual Reality Environment

Furkan Luleci, Liangding Li, Jiapeng Chi, Dirk Reiners, Carolina Cruz-Neira, F. Necati Catbas

摘要:

老化的民用基础设施系统在任何故障机制变得严重之前需要立即得到关注。结构健康监测(SHM)用于跟踪结构系统的输入和/或响应,以提供决策支持。检查和结构健康监测需要进行实地访问,然后在现场对关键要素进行专家评估,这可能既耗时又昂贵。此外,包括访问和检查在内的实地工作可能构成危险,需要在实地工作期间配备个人防护设备和关闭结构。为了解决这些问题,一个虚拟现实(VR)协作应用程序的开发,使结构和SHM数据从现场到办公室,使许多专家从不同的地方可以同时虚拟访问桥梁结构进行最终评估。在这项工作中,我们提出了一个SHM系统在VR环境中,其中包括必要的技术和视觉信息的工程师作出决定的校园中佛罗里达大学的人行天桥。在此VR应用中,对于可视化阶段,使用UAV(无人机)摄影测量和LiDAR(光探测和测距)方法来捕获桥梁。对于技术评估阶段,分析了作为SHM一部分的振动数据的有限元分析(FEA)和操作模态分析(OMA)。为了更好地可视化结构的动态响应,FEA的操作行为反映在LiDAR点云模型上,以实现沉浸式。允许团队同时协作的多用户功能对于决策活动至关重要。总之,拟议的VR环境提供了进一步自动化和实时改进SHM和FEA模型的潜在优势。

英文摘要:

Ageing civil infrastructure systems require imminent attention before any failure mechanism becomes critical. Structural Health Monitoring (SHM) is employed to track inputs and/or responses of structural systems for decision support. Inspections and structural health monitoring require field visits, and subsequently expert assessment of critical elements at site, which may be both time-consuming and costly. Also, fieldwork including visits and inspections may pose danger, require personal protective equipment and structure closures during the fieldwork. To address some of these issues, a Virtual Reality (VR) collaborative application is developed to bring the structure and SHM data from the field to the office such that many experts from different places can simultaneously virtually visit the bridge structure for final assessment. In this work, we present an SHM system in a VR environment that includes the technical and visual information necessary for the engineers to make decisions for a footbridge on the campus of the University of Central Florida. In this VR application, for the visualization stage, UAV (Unmanned Air Vehicle) photogrammetry and LiDAR (Light Detection and Ranging) methods are used to capture the bridge. For the technical assessment stage, Finite Element Analysis (FEA) and Operational Modal Analysis (OMA) from vibration data as part of SHM are analyzed. To better visualize the dynamic response of the structure, the operational behaviour from the FEA is reflected on the LiDAR point cloud model for immersive. The multi-user feature allowing teams to collaborate simultaneously is essential for decision-making activities. In conclusion, the proposed VR environment offers the potential to provide beneficial features with further automated and real-time improvements along with the SHM and FEA models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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