Algorithm for automatic detection and analysis of cracks in timber beams from LiDAR data

被引：68

作者：

Cabaleiro, M. ^{[1
]}

Lindenbergh, R. ^{[2
]}

Gard, W. F. ^{[3
]}

Arias, P. ^{[4
]}

van de Kuilen, J. W. G. ^{[5
]}

机构：

[1] Univ Vigo, Sch Ind Engn, Dept Mat Engn Appl Mech & Construct, Vigo 36208, Spain

[2] Delft Univ Technol, Dept Geosci & Remote Sensing, Stevinweg 1, NL-2628 CN Delft, Netherlands

[3] Delft Univ Technol, Sect Timber Struct & Wood Technol, Dept Struct Engn, Stevinweg 1, NL-2628 CN Delft, Netherlands

[4] Univ Vigo, Sch Min Engn, Dept Nat Resources & Environm Engn, Vigo 36310, Spain

[5] Tech Univ Munich, Wood Res Inst, Winzererstr 45, D-80797 Munich, Germany

来源：

CONSTRUCTION AND BUILDING MATERIALS | 2017年 / 130卷

关键词：

Wood; Crack; Alpha-shapes; Laser scanning; EXTRACTION; MASONRY; MODELS; CHURCH;

D O I：

10.1016/j.conbuildmat.2016.11.032

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：41 / 53

页数：13

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