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Volume: 28 | Article ID: art00015
Comparative visualization of geometry of a hollow box girder using 3D-LiDAR – Part 1: Cross sectional area
  DOI :  10.2352/ISSN.2470-1173.2016.7.MOBMU-296  Published OnlineFebruary 2016

With the mandatory introduction of the directive for recalculation of bridges in May 2011 in Germany, the administrations of the federal and state governments have a duty to demonstrate the stability of their bridge inventory. The requisite verification will be realized under consideration of the new increased traffic loads on the construction, in a four-step process. Particularly in older bridges the verification succeeds only using the computational resources of the original structural design. One option these reserves to be considered is the exact determination of the dead weight of the bridge. Since the existing as-built documents of the construction often digress significantly from the real dimensions, there are two options to resolve the issue. In addition to the technically very complicated and relatively expensive method of weighing the construction, the calculation can also be done indirectly through a combined process of photogrammetric measurement and non-destructive testing. On a practical case study will be demonstrated how the solution of this problem can succeed. For this is done in the first step to scan in detailed the inner topography of a part of the construction by a 3D laser scanner. The results of these tests are compared with the existing stock plans of the building. The aim of this study is to determine the dead weight of structure. Therefore, in the first part of this work sectional plans were extracted of the technical drawing and the point cloud to calculate the area of the interior. Based on the calculated areas in the sectional planes, the volume calculation should take place in the next step.

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Jenny Knackmuß, Stefan Maack, Reiner Creutzburg, "Comparative visualization of geometry of a hollow box girder using 3D-LiDAR – Part 1: Cross sectional areain Proc. IS&T Int’l. Symp. on Electronic Imaging: Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications,  2016,

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