Remote sensing and photogrammetry techniques in diagnostics of concrete structures

Recently laser scanning technologies become widely used in many areas of the modern economy. In the following paper authors show a potential spectrum of use Terrestrial Laser Scanning (TLS) in diagnostics of reinforced concrete elements. Based on modes of failure analysis of reinforcement concrete beam authors describe downsides and advantages of adaptation of terrestrial laser scanning to this purpose, moreover reveal under which condition this technology might be used. Research studies were conducted by Faculty of Civil and Environmental Engineering at Gdansk University of Technology. An experiment involved bending of reinforced concrete beam, the process was registered by the terrestrial laser scanner. Reinforced concrete beam was deliberately overloaded and eventually failed by shear.Whole failure process was tracing and recording by scanner Leica ScanStation C10 and verified by synchronous photographic registration supported by digital photogrammetry methods. Obtained data were post-processed in Leica Cyclone (dedicated software) and MeshLab (program on GPL license). The main goal of this paper is to prove the effectiveness of TLS in diagnostics of reinforced concrete elements. Authors propose few methods and procedures to virtually reconstruct failure process, measure geometry and assess a condition of structure.

[1]  Artur Janowski,et al.  Application of the Msplit method for filtering airborne laser scanning data-sets to estimate digital terrain models , 2015 .

[2]  Grzegorz Świt,et al.  Analysis of the microcracking process with the Acoustic Emission method with respect to the service life of reinforced concrete structures with the example of the RC beams , 2015 .

[3]  Marek Przyborski,et al.  MODERN REMOTE SENSING AND THE CHALLENGES FACING EDUCATION SYSTEMS IN TERMS OF ITS TEACHING , 2015 .

[4]  K. Nagrodzka-Godycka,et al.  METHOD OF SELECTIVE FADING AS A EDUCATIONAL TOOL TO STUDY THE BEHAVIOUR OF PRESTRESSED CONCRETE ELEMENTS UNDER EXCESS LOADING , 2015 .

[5]  Duane C. Brown,et al.  Close-Range Camera Calibration , 1971 .

[6]  Richard I. Hartley,et al.  In Defense of the Eight-Point Algorithm , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  D. C. Brown,et al.  Lens distortion for close-range photogrammetry , 1986 .

[8]  J. Valença,et al.  Curvature assessment of reinforced concrete beams using photogrammetric techniques , 2014 .

[9]  Karol Daliga,et al.  EXAMINATION METHOD OF THE EFFECT OF THE INCIDENCE ANGLE OF LASER BEAM ON DISTANCE MEASUREMENT ACCURACY TO SURFACES WITH DIFFERENT COLOUR AND ROUGHNESS , 2016 .

[10]  M. Rucka,et al.  Experimental Study on Ultrasonic Monitoring of Splitting Failure in Reinforced Concrete , 2013 .

[11]  Mehmet Alpaslan Köroğlu,et al.  PHOTOGRAMMETRIC APPROACH IN DETERMINING BEAM-COLUMN CONNECTION DEFORMATIONS , 2014 .

[12]  Patrice Rivard,et al.  Evaluating the damage in reinforced concrete slabs under bending test with the energy of ultrasonic waves , 2014 .

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

[14]  A. Windisch Das Modell der charakteristischen Bruchquerschnitte. Ein Beitrag zur Bemessung der Sonderbereiche von Stahlbetontragwerken. , 1988 .

[15]  Tadeusz Uhl,et al.  RESEARCH ON THE PROTOTYPE OF RAIL CLEARANCE MEASUREMENT SYSTEM , 2012 .

[16]  Artur Janowski,et al.  M-Split Estimation in Laser Scanning Data Modeling , 2012, Journal of the Indian Society of Remote Sensing.

[17]  K. Nagrodzka-Godycka,et al.  The influence of reinforcement on load carrying capacity and cracking of the reinforced concrete deep beam joint , 2016 .

[18]  J. Szulwic,et al.  ADVANCED 3 D VISUALIZATION OF AN ARCHITECTURAL OBJECT IN THE OPENGL STANDARD , 2005 .

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

[20]  Ivan Detchev,et al.  Precise Photogrammetric Reconstruction Using Model-Based Image Fitting for 3D Beam Deformation Monitoring , 2013 .

[21]  A WEB-BASED APROACH FOR ONLINE DIGITAL TERRAIN MODEL AND ORTHOIMAGE GENERATION , 2010 .

[22]  Wei Wang,et al.  A SVD decomposition of essential matrix with eight solutions for the relative positions of two perspective cameras , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[23]  Janowski Artur,et al.  Modes of Failure Analysis in Reinforced Concrete Beam Using Laser Scanning and Synchro-Photogrammetry How to apply optical technologies in the diagnosis of reinforced concrete elements? , 2014 .

[24]  Artur Janowski,et al.  Maritime Laser Scanning as the Source for Spatial Data , 2015 .

[25]  Diego González-Aguilera,et al.  A New Approach for Structural Monitoring of Large Dams with a Three-Dimensional Laser Scanner , 2008, Sensors.

[26]  Derek D. Lichti,et al.  Vertical Dynamic Deflection Measurement in Concrete Beams with the Microsoft Kinect , 2014, Sensors.

[27]  Jakub Szulwic,et al.  THE METHOD OF ANALYSIS OF DAMAGE REINFORCED CONCRETE BEAMS USING TERRESTRIAL LASER SCANNING , 2014 .

[28]  Derek D. Lichti,et al.  Structural Deflection Measurement with a Range Camera , 2012 .

[29]  Artur Janowski,et al.  Synchronic digital stereophotography and photogrammetric analyses in monitoring the flow of liquids in open channels , 2014 .

[30]  F. Bencardino,et al.  Experimental study and numerical investigation of behavior of RC beams strengthened with steel reinforced grout , 2014 .

[31]  Derek D. Lichti,et al.  Modeling Terrestrial Laser Scanner Data for Precise Structural Deformation Measurement , 2007 .