Volume XLII-2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 969-974, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 969-974, 2018
https://doi.org/10.5194/isprs-archives-XLII-2-969-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 May 2018

30 May 2018

AUTOMATED CALIBRATION OF FEM MODELS USING LIDAR POINT CLOUDS

B. Riveiro1, G. Cubreiro1, B. Conde1, M. Cabaleiro1, R. Lindenbergh2, M. Soilán1, and J. C. Caamaño1 B. Riveiro et al.
  • 1Dept. of Materials Engineering, Applied Mechanics and Construction, School of Mining Engineering, University of Vigo, 36310, Spain
  • 2Dept. of Geoscience & Remote Sensing, Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN, Delft, The Netherlands

Keywords: Point clouds, LiDAR, rasterization, FEM analysis, bending moment, torque

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.