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

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  • Xiangyang Xu
  • Hao Yang

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.

Suggested Citation

  • Xiangyang Xu & Hao Yang, 2018. "Network method for deformation analysis of three-dimensional point cloud with terrestrial laser scanning sensor," International Journal of Distributed Sensor Networks, , vol. 14(11), pages 15501477188, November.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:11:p:1550147718814139
    DOI: 10.1177/1550147718814139
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    Cited by:

    1. Khalid Hussain Mohammadani & Kamran Ali Memon & Imran Memon & Nazish Nawaz Hussaini & Hadiqua Fazal, 2020. "Preamble time-division multiple access fixed slot assignment protocol for secure mobile ad hoc networks," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    2. Francesc Pozo & Diego A Tibaduiza & Miguel à ngel Torres-Arredondo & Margarita Varón & Hernán Dario Ceron-Muñoz, 2020. "Editorial," International Journal of Distributed Sensor Networks, , vol. 16(9), pages 15501477209, September.
    3. Xiangyang Xu & Hao Yang & Boris Kargoll, 2019. "Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement," International Journal of Distributed Sensor Networks, , vol. 15(11), pages 15501477198, November.
    4. Juyeon Son & Wonyoung Choi & Sang-Min Choi, 2020. "Trust information network in social Internet of things using trust-aware recommender systems," International Journal of Distributed Sensor Networks, , vol. 16(4), pages 15501477209, April.

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