Network method for deformation analysis of three-dimensional point cloud with terrestrial laser scanning sensor

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Xu, X.; Yang, H.: Network method for deformation analysis of three-dimensional point cloud with terrestrial laser scanning sensor. In: International Journal of Distributed Sensor Networks 14 (2018), Nr. 11. DOI:

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Sum total of downloads: 163

The complexity of structural materials is increasing the importance of the technology for high accuracy measurement. How to obtain the displacement information of structural feature points accurately and efficiently is the key issue of deformation analysis. In this article, displacement analysis of a composite arched structure is investigated based on the terrestrial laser scanning technique. A new method based on the measured point cloud is proposed to analyze the displacement of surficial points, resulting in not only the displacement size but also the displacement direction. The innovation lies in extracting the displacement information with a network and remapped point cloud, which is called the network method. The displacement map obtained demonstrates that the transverse displacement in the experiment plays an important role in the safety of the structure, which could not be observed and obtained by the surface approximation method. Therefore, the panorama- and pointwise displacement analysis technologies contribute to ensure the safety of increasingly complex constructions.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 94 57.67%
2 image of flag of United States United States 39 23.93%
3 image of flag of China China 16 9.82%
4 image of flag of Greece Greece 3 1.84%
5 image of flag of No geo information available No geo information available 2 1.23%
6 image of flag of Tanzania, United Republic of Tanzania, United Republic of 1 0.61%
7 image of flag of Taiwan Taiwan 1 0.61%
8 image of flag of Lithuania Lithuania 1 0.61%
9 image of flag of Korea, Republic of Korea, Republic of 1 0.61%
10 image of flag of Italy Italy 1 0.61%
    other countries 4 2.45%

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