4.7 Article

Three-dimensional discrete element modelling of rubble masonry structures from dense point clouds

Journal

AUTOMATION IN CONSTRUCTION
Volume 119, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.autcon.2020.103365

Keywords

Point cloud; Rubble masonry; Discrete Element Method (DEM); Terrestrial laser scanning; Structure-from-motion photogrammetry

Funding

  1. EPSRC [case/179/65/82]

Ask authors/readers for more resources

This paper presents a framework for the three-dimensional structural analysis of full scale, geometrically complex rubble masonry structures from point clouds generated from Structure-from-Motion photogrammetry or terrestrial laser scanning. According to the method, a point-based voxelization algorithm was adopted, whereby a dense point cloud was down-sampled into equidistant points, bypassing the need for conventional intensive processes, such as watertight mesh conversion, to obtain the geometric model of the rubble masonry for structural analysis. The geometry of the rubble masonry structure was represented by a sum of hexahedral rigid blocks (voxels). The proposed point cloud to structural analysis framework was implemented to assess the structural stability of the southwest leaning tower of Caerphilly Castle in Wales, UK. Simulations were performed with the threedimensional computational software 3DEC, based on the Discrete Element Method (DEM) of analysis. Each voxel of the rubble masonry was represented as a rigid, distinct block while mortar joints were modelled as zero thickness interfaces which can open and close depending on the magnitude and direction of the stresses applied to them. The potential of the automated procedure herein proposed has been demonstrated to quantitatively assess the three-dimensional mechanical behaviour rubble masonry structures and provide va-luable information to asset owners in relation to the structural health condition of assets in their care.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available