Finite Element Modelling of a Transmission Steel Lattice Tower Based on LiDAR Point Cloud Data

被引:0
|
作者
Wrzosek, Filip [1 ]
机构
[1] Acernis, Nantes, France
关键词
FEA modeling - Fem analyze - FEM modelling - Laser scanning - Lattice towers - LiDAR - Point cloud data - Point-clouds - Power grids - Steel lattice;
D O I
10.1002/cepa.2680
中图分类号
学科分类号
摘要
This article presents an innovative modelling method, which can serve as a set of guidelines for future applications related to point cloud data processing of steel lattice structures used for FEA modelling purposes. This method is fully automated, resulting in repeatable results and saving time required for manual data processing. The study investigated two types of input point cloud data, aerial and terrestrial, and compared the resulting model to an idealized model based on design documentation. Results showed that the LiDAR point cloud data is a good source of information for reconstructing a geometric CAD model and can be implemented in FEA. The impact of point cloud data usage for FEA modelling is demonstrated by investigating differences between FEA results of the point cloud-based and idealized models, allowing for an understanding of the influence of real-life imperfections on force redistribution across the analyzed structure and ultimate forces reached by members loaded in compression. This modelling method and analysis can serve as guidelines for future applications related to point cloud data pro-cessing of steel lattice structures used for FEA modelling purposes. © 2023 The Authors. Published by Ernst & Sohn GmbH.
引用
收藏
页码:1174 / 1178
相关论文
共 50 条
  • [1] Finite element modelling of steel lattice tower legs reinforced for increased loads
    Tongkasame, C.
    Mills, J.
    Zhuge, Y.
    INNOVATIONS IN STRUCTURAL ENGINEERING AND CONSTRUCTION, VOLS 1 AND 2, 2008, : 199 - 204
  • [2] A Transmission Tower Tilt State Assessment Approach Based on Dense Point Cloud from UAV-Based LiDAR
    Lu, Zhumao
    Gong, Hao
    Jin, Qiuheng
    Hu, Qingwu
    Wang, Shaohua
    REMOTE SENSING, 2022, 14 (02)
  • [3] Airborne LIDAR point cloud tower inclination judgment
    Chen Liang
    Liu Zhengjun
    Qian Jianguo
    6TH DIGITAL EARTH SUMMIT, 2016, 46
  • [4] Reverse modelling method of transmission tower based on intelligent identification of key points of point cloud projection
    He F.
    Hu Y.
    Liu Y.
    Li G.
    International Journal of Wireless and Mobile Computing, 2023, 24 (3-4) : 390 - 399
  • [5] Prioritized Transmission Control of Point Cloud Data Obtained by LIDAR Devices
    Sato, Keiichiro
    Shinkuma, Ryoichi
    Sato, Takehiro
    Oki, Eiji
    Iwai, Takanori
    Kanetomo, Dai
    Satoda, Kozo
    IEEE ACCESS, 2020, 8 : 113779 - 113789
  • [6] Voxel-Based Extraction of Transmission Lines From Airborne LiDAR Point Cloud Data
    Yang, Juntao
    Kang, Zhizhong
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 11 (10) : 3892 - 3904
  • [7] Dynamic analysis of communication transmission tower based on finite element method
    Kang, Xingwu
    Zhang, Yongwei
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND ENGINEERING APPLICATIONS, 2016, 63 : 64 - 68
  • [8] Finite Element Analysis on the Ultimate Bearing Capacity of Welded Joints of Steel Transmission Tower
    Li, Wei-qing
    Zhou, Yi-yi
    Qi, Yong-sheng
    3RD INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING, ARCHITECTURE AND SUSTAINABLE INFRASTRUCTURE, ICCEASI 2015, 2015, : 643 - 647
  • [9] Classification of Tree Species Based on LiDAR Point Cloud Data
    Chen Xiangyu
    Yun Ting
    Xue Lianfeng
    Liu Ying'an
    LASER & OPTOELECTRONICS PROGRESS, 2019, 56 (12)
  • [10] Finite element modelling of lattice angle steel structures exposed to wildland fires
    Bradford, Mark A.
    Liu, Xinpei
    Chen, Chang
    Wang, Jia
    STRUCTURES, 2023, 56