Documentation of bridges by terrestrial laser scanner

Bridge structures are subjected to deterioration due to excessive usage, overloading, and aging material. For the last two decades, a significant amount research has been developed for collecting data for structural health monitoring. Yet, visual investigation with an on-site inspector remains the predominant method. This is true despite the highly subjective and time consuming aspects of this approach. Alternatively, terrestrial laser scanning can acquire surface details of structures quickly and accurately and is, thus, an emerging means to overcome the shortcomings of direct visual inspection. This paper presents a procedure for data collection for bridge inspection documentation and proposes a “cell-based method” for determination of structure deterioration (involving vertical deformation and lateral distortion), as well as surface loss due to corrosion. The Guinness Bridge built in 1880s located in Dublin council, Ireland is selected as a case study to illustrate the efficacy of the proposed method.

[1]  Tony DeRose,et al.  Surface reconstruction from unorganized points , 1992, SIGGRAPH.

[2]  Higinio González-Jorge,et al.  Validation of terrestrial laser scanning and photogrammetry techniques for the measurement of vertical underclearance and beam geometry in structural inspection of bridges , 2013 .

[3]  Debra F. Laefer,et al.  Flying Voxel Method with Delaunay Triangulation Criterion for Façade/Feature Detection for Computation , 2012, J. Comput. Civ. Eng..

[4]  Linh Truong-Hong,et al.  Equipment Considerations for Terrestrial Laser Scanning for Civil Engineering in Urban Areas , 2014 .

[5]  Tarek Hamel,et al.  A UAV for bridge inspection: Visual servoing control law with orientation limits , 2007 .

[6]  Debra F. Laefer,et al.  Octree-based, automatic building façade generation from LiDAR data , 2014, Comput. Aided Des..

[7]  Falko Kuester,et al.  Terrestrial Laser Scanning-Based Structural Damage Assessment , 2010, J. Comput. Civ. Eng..

[8]  Wanqiu Liu,et al.  Lidar-Based bridge structure defect detection , 2011 .

[9]  J. Paffenholz,et al.  High Frequency Terrestrial Laser Scans for Monitoring Kinematic Processes , 2008 .

[10]  Sangjoon Park,et al.  Applications of laser scanning to structures in laboratory tests and field surveys , 2014 .

[11]  Debra F. Laefer,et al.  Combining an Angle Criterion with Voxelization and the Flying Voxel Method in Reconstructing Building Models from LiDAR Data , 2013, Comput. Aided Civ. Infrastructure Eng..

[12]  Antonio Galgaro,et al.  Contactless recognition of concrete surface damage from laser scanning and curvature computation , 2009 .

[13]  Gerhard H. Bendels,et al.  Detecting Holes in Point Set Surfaces , 2006 .

[14]  Mohammad R. Jahanshahi,et al.  An innovative methodology for detection and quantification of cracks through incorporation of depth perception , 2011, Machine Vision and Applications.

[15]  Pedro Arias,et al.  Monitoring biological crusts in civil engineering structures using intensity data from terrestrial laser scanners , 2012 .

[16]  Henrique Lorenzo,et al.  Modelling masonry arches shape using terrestrial laser scanning data and nonparametric methods , 2010 .

[17]  Burcu Akinci,et al.  Formalization of workflows for extracting bridge surveying goals from laser-scanned data , 2012 .

[18]  Neil G. Thompson,et al.  Corrosion protection system for construction and rehabilitation of reinforced concrete bridges , 2005 .

[19]  Yasuhiro Koda,et al.  Quantitative scaling evaluation of concrete structures based on terrestrial laser scanning , 2013 .

[20]  Michela Bertolotto,et al.  Octree-based region growing for point cloud segmentation , 2015 .

[21]  J. Andreas Bærentzen,et al.  Octree–based Volume Sculpting , 1998 .

[22]  Paul A. Fuchs,et al.  LASER-BASED INSTRUMENTATION FOR BRIDGE LOAD TESTING , 2004 .

[23]  Debra F. Laefer,et al.  Application of terrestrial laser scanner in bridge inspection: Review and an opportunity , 2014 .