FULL-SCALE DEFORMATION FIELD MEASUREMENTS VIA PHOTOGRAMMETRIC REMOTE SENSING

W. Graves, D. Lattanzi
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Abstract

3D remote sensing technologies have improved dramatically over the past five years and methods such as laser scanning and photogrammetry are now capable of reliably resolving geometric details on the order of one millimeter or less. This has significant impacts for the structural health monitoring community, as it has expanded the range of mechanics-driven problems that these methods can be employed on. In this work, we explore how 3D geometric measurements extracted from photogrammetric point clouds can be leveraged for structural analysis and measurement of structural deformations without physically contacting the target structure. Here we present a non-destructive evaluation technique for extracting and quantifying structural deformations as applied to a load test on a highway bridge in Delaware. The challenging nature of 3D point cloud data means that statistical methods must be employed to adequately evaluate the deformation field of the bridge. Overall, the results show a direct pathway from 3D imaging to fundamental mechanical analysis with measurements that capture the true deformation values typically within one standard deviation. These results are promising given that the mid-span deformation of the bridge for the given load test is on the scale of only a few millimeters. Future work for this method will also investigate using these results for updating finite element models.
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全尺寸变形场测量通过摄影测量遥感
3D遥感技术在过去五年中有了巨大的进步,激光扫描和摄影测量等方法现在能够可靠地分辨出一毫米或更小的几何细节。这对结构健康监测界产生了重大影响,因为它扩大了这些方法可用于的力学驱动问题的范围。在这项工作中,我们探索如何从摄影测量点云中提取3D几何测量数据,在不与目标结构物理接触的情况下,用于结构分析和结构变形测量。本文提出了一种用于提取和量化结构变形的无损评估技术,并将其应用于特拉华州一座公路桥的荷载试验。三维点云数据的挑战性意味着必须采用统计方法来充分评估桥梁的变形场。总体而言,研究结果显示了从3D成像到基本机械分析的直接途径,其测量结果通常在一个标准差内捕获真实变形值。考虑到桥梁在给定荷载试验下的跨中变形只有几毫米的规模,这些结果是有希望的。该方法的未来工作还将研究使用这些结果来更新有限元模型。
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