Crack detection limits in unit based masonry with terrestrial laser scanning

Abstract This paper presents the fundamental mathematics to determine the minimum crack width detectable with a terrestrial laser scanner in unit-based masonry. Orthogonal offset, interval scan angle, crack orientation, and crack depth are the main parameters. The theoretical work is benchmarked against laboratory tests using 4 samples with predesigned crack widths of 1–7 mm scanned at orthogonal distances of 5.0–12.5 m and at angles of 0°–30°. Results showed that absolute errors of crack width were mostly less than 1.37 mm when the orthogonal distance varied 5.0–7.5 m but significantly increased for greater distances. The orthogonal distance had a disproportionately negative effect compared to the scan angle.

[1]  Peter Teunissen,et al.  Incidence angle influence on the quality of terrestrial laser scanning points , 2009 .

[2]  Fahim Al-Neshawy,et al.  Measuring the bowing of marble panels in building facades using terrestrial laser scanning technology , 2010, J. Inf. Technol. Constr..

[3]  Francesco Soldovieri,et al.  Noninvasive Sensing Techniques and Geophysical Methods for Cultural Heritage and Civil Infrastructures Monitoring , 2011 .

[4]  Wolfgang NIEMEIER,et al.  NEW DIGITAL CRACK MONITORING SYSTEM FOR MEASURING AND DOCUMENTATION OF WIDTH OF CRACKS IN CONCRETE STRUCTURES , 2008 .

[5]  Uwe Hampel,et al.  Cascaded image analysis for dynamic crack detection in material testing , 2009 .

[6]  D. Girardeau-Montaut,et al.  CHANGE DETECTION ON POINTS CLOUD DATA ACQUIRED W ITH A GROUND LASER SCANNER , 2005 .

[7]  S. Sotoodeh.  OUTLIER DETECTION IN LASER SCANNER POINT CLOUDS , 2006 .

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

[9]  Giordano Teza,et al.  Terrestrial Laser Scanner Resolution: Numerical Simulations and Experiments on Spatial Sampling Optimization , 2011, Remote. Sens..

[10]  F. Marazzi,et al.  Traditional vs innovative structural health monitoring of monumental structures: A case study , 2011 .

[11]  John Burland,et al.  SETTLEMENT OF BUILDINGS AND ASSOCIATED DAMAGE , 1975 .

[12]  C. Fraser,et al.  An Operational Application of Automatic Feature Extraction: The Measurement of Cracks in Concrete Structures , 2002 .

[13]  David Coyne,et al.  Lateral Image Degradation in Terrestrial Laser Scanning , 2009 .

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

[15]  D. Lichti,et al.  Angular resolution of terrestrial laser scanners , 2006 .

[16]  Yun Mook Lim,et al.  Monitoring Crack Changes in Concrete Structures , 2005 .

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

[18]  Derek D. Lichti,et al.  Measurement of Structural Deformation using Terrestrial Laser Scanners , 2003 .

[19]  Yozo Fujino,et al.  Identification of the location and size of cracks in beams by a piezoceramic actuator–sensor , 2007 .

[20]  Feng Li,et al.  Critical Assessment of Detecting Asphalt Pavement Cracks under Different Lighting and Low Intensity Contrast Conditions Using Emerging 3D Laser Technology , 2012 .

[21]  M. Crosetto,et al.  Deformation measurement using terrestrial laser scanning data and least squares 3D surface matching , 2008 .

[22]  Jerome J. Connor,et al.  Soft capacitive sensor for structural health monitoring of large‐scale systems , 2012 .

[23]  Pedro Arias,et al.  Error Analysis of Terrestrial Laser Scanning Data by Means of Spherical Statistics and 3D Graphs , 2010, Sensors.

[24]  A. Habib,et al.  Single-Photo Resection Using the Modified Hough Transform , 2001 .

[25]  Diego González-Aguilera,et al.  Terrestrial laser scanning intensity data applied to damage detection for historical buildings , 2010 .

[26]  Debra F. Laefer,et al.  Validating Computational Models from Laser Scanning Data for Historic Facades , 2013 .

[27]  Hung-Wan Chung.  Assessment and Classification of Damages in Reinforced Concrete Structures , 1994 .

[28]  Luigi Barazzetti,et al.  Crack measurement: Development, testing and applications of an automatic image-based algorithm , 2009 .

[29]  Debra F. Laefer,et al.  Reliability of Crack Detection Methods for Baseline Condition Assessments , 2010 .

[30]  Michael Forde,et al.  Assessing Damage of Reinforced Concrete Beam using b -value Analysis of Acoustic Emission Signals , 2003 .