 Network method for deformation analysis of three-dimensional point cloud with terrestrial laser scanning sensorXiangyang Xu and Hao Yang International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 11, 1550147718814139 Abstract: 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. Keywords: Terrestrial laser scanning technology; deformation analysis; network method; point cloud data; pointwise displacement (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:11:p:1550147718814139 Access Statistics for this article More articles in International Journal of Distributed Sensor Networks |
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