Algorithm for automatic detection and analysis of cracks in timber beams from LiDAR data. (15th January 2017)

• Record Type: Journal Article
• Authors: Cabaleiro, M.; Lindenbergh, R.; Gard, W.F.; Arias, P.; van de Kuilen, J.W.G.
• Is Part Of: Construction & building materials. Volume 130(2017)
• Page Start: 41
• Page End: 53
• Publication Date: 2017-01-15
• Subjects: Wood -- Crack -- Alpha-shapes -- Laser scanning; Building materials -- Periodicals; 624.18
• DOI: 10.1016/j.conbuildmat.2016.11.032
• Languages: English
• ISSNs: 0950-0618

Abstract

Highlights: Natural wood generally cracks when it dries. Mapping beam cracks is a necessary task to evaluate their potential danger. The new algorithm proposed is used to identify, analyze and label each crack. Each crack is analyzed based on the points that define its edge. A data file with all geometric characteristics of each identified crack is obtained. Abstract: Cracks may indicate structural problems in constructions made of timber beams, but their identification in notably roof constructions is difficult. Therefore this paper presents an algorithm for the automatic detection of cracks in timber beams sampled by LiDAR data. This algorithm enables the identification, analysis and monitoring of cracks and their geometrical characteristics. The algorithm is validated by tests on laboratory specimens and on a timber roof structure. The results prove that the proposed algorithm is able to automatically identify and analyze cracks with a width of above 3 mm from point clouds with an average resolution below 1 mm.