Automated calibration of fem models using LiDAR point clouds

B. Riveiro, G. Cubreiro, B. Conde, M. Cabaleiro, R. Lindenbergh, M. Soilán, J. C. Caamaño

Research output: Contribution to journalConference articleScientificpeer-review

4 Citations (Scopus)
53 Downloads (Pure)

Abstract

In present work it is pretended to estimate elastic parameters of beams through the combined use of precision geomatic techniques (laser scanning) and structural behaviour simulation tools. The study has two aims, on the one hand, to develop an algorithm able to interpret automatically point clouds acquired by laser scanning systems of beams subjected to different load situations on experimental tests; and on the other hand, to minimize differences between deformation values given by simulation tools and those measured by laser scanning. In this way we will proceed to identify elastic parameters and boundary conditions of structural element so that surface stresses can be estimated more easily.

Original languageEnglish
Pages (from-to)969-974
Number of pages6
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume42
Issue number2
DOIs
Publication statusPublished - 30 May 2018
EventISPRS TC II Mid-term Symposium: Towards Photogrammetry 2020 - Riva del Garda, Italy
Duration: 4 Jun 20187 Jun 2018

Keywords

  • Bending moment
  • FEM analysis
  • LiDAR
  • Point clouds
  • Rasterization
  • Torque

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