Computers and Concrete

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Remote sensing and photogrammetry techniques in diagnostics of concrete structures

  • Janowski, Artur (Faculty of Civil and Environmental Engineering, Gdansk University of Technology) ;
  • Nagrodzka-Godycka, Krystyna (Faculty of Civil and Environmental Engineering, Gdansk University of Technology) ;
  • Szulwic, Jakub (Faculty of Civil and Environmental Engineering, Gdansk University of Technology) ;
  • Ziolkowski, Patryk (Faculty of Civil and Environmental Engineering, Gdansk University of Technology)
  • Received : 2015.05.01
  • Accepted : 2016.03.30
  • Published : 2016.09.25
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Abstract

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.

Keywords

References

  1. Bencardino, F. and Condello, A. (2014), "Experimental study and numerical investigation of behavior of RC beams strengthened with steel reinforced grout", Comput. Concrete, 14(6), 711-725. https://doi.org/10.12989/cac.2014.14.6.711
  2. Blaszczak-Bak, W., Janowski, A., Kaminski, W. and Rapinski, J. (2015), "Application of the Msplit method for filtering airborne laser scanning data-sets to estimate digital terrain models", Int. J. Remote Sens., 36(9), 2421-2437. https://doi.org/10.1080/01431161.2015.1041617
  3. Daliga, K. and Kuralowicz, Z. (2016), "Examination method of the effect of the incidence angle of laser beam on distance measurement accuracy to surfaces with different colour and roughness", Boletim de Ciencias Geodesicas, 22(3)
  4. Dias-da-Costa, D., Valenca, J. and do Carmo, R.N.F. (2014), "Curvature assessment of reinforced concrete beams using photogrammetric techniques", Mater. Struct., 47(10), 1745-1760. https://doi.org/10.1617/s11527-013-0148-8
  5. Duane, C.B. (1971), "Close-range camera calibration", Photogramm. Eng., 37(8), 855-866.
  6. Fryer, J.G. and Brown, D.C. (1986), "Lens distortion for close-range photogrammetry", Photogramm. Eng. Remote Sens., 52(1), 51-58.
  7. Godycki-Cwirko, T. (1992), "Crack morphology in concrete structures", Sci. Study, 13, 149.
  8. Gonzalez-Aguilera, D., Gomez-Lahoz, J. and Sanchez, J. (2008), "A new approach for structural monitoring of large dams with a three-dimensional laser scanner", Sensors, 8(9), 5866-5883. https://doi.org/10.3390/s8095866
  9. Gordon, S.J. and Lichti, D.D. (2007), "Modeling terrestrial laser scanner data for precise structural deformation measurement", J. Survey. Eng., 133(2), 72-80. https://doi.org/10.1061/(ASCE)0733-9453(2007)133:2(72)
  10. Goszczynska, B., Swit, G. and Trampczynski, W. (2015), "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", Bull. Polish Academy Sci. Tech., 63(1), 55-63. https://doi.org/10.1515/bpasts-2015-0007
  11. Hartley, R.I. (1997), "In defense of the eight-point algorithm. Pattern analysis and machine intelligence", Proceedings of the IEEE Transactions on, 19(6), 580-593.
  12. Hejmanowska, B., Przyborski, M., Pyka, K. and Pyrchla, J. (2015), "Modern remote sensing and the challenges facing education systems in terms of its teaching", Proceedings of the 7th International Conference on Education and New Learning Technologies, 6549-6558, Barcelona, Spain
  13. Janowski, A. and Rapinski, J. (2013), "M-split estimation in laser scanning data modeling", J. Indian Soc. Remote Sens., 41(1), 15-19. https://doi.org/10.1007/s12524-012-0213-8
  14. Janowski, A. and Szulwic, J. (2014), "Synchronic digital stereophotography and photogrammetric analyses in monitoring the flow of liquids in open channels", Proceedings of the 9th ICEE, 2029-7092.
  15. Janowski, A., Nagrodzka-Godycka, K., Szulwic, J. and Ziolkowski, P. (2014), "Modes of failure analysis in reinforced concrete beam using laser scanning and synchro-photogrammetry", Proceedings of the 2nd Int. Conference on Adv. Civil, Struct. Envir. Eng., 16-20.
  16. Janowski, A., Sawicki, P. and Szulwic, J. (2005), "Advanced 3D visualization of an architectural object in the openGL standard", Int. Arch. Photogramm., Remote Sens. Spatial Inform. Sci., 36(2).
  17. Kohut, P., Mikrut, S., Pyka, S., Tokarczyk, R. and Uhl, T. (2012), "Research on the prototype of rail clearance measurement system", Proceedings of the 22nd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing, 25 Aug.-01 Sep. 2012, Melbourne, Australia. Book Series: International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, 39, B4.
  18. Koken, A., Koroglu, M.A., Karabork, H. and Ceylan, A. (2014), "Photogrammetric approach in determining beam-column connection deformations", Boletim de Ciencias Geodesicas, 20(3), 720-733. https://doi.org/10.1590/S1982-21702014000300041
  19. Kopanska, A. and Nagrodzka-Godycka, K. (2016), "The influence of reinforcement on load carrying capacity and cracking of the reinforced concrete deep beam joint", Eng. Struct., 107, 23-33. https://doi.org/10.1016/j.engstruct.2015.11.001
  20. Kwak, E., Detchev, I., Habib, A., El-Badry, M. and Hughes, C. (2013), "Precise photogrammetric reconstruction using model-based image fitting for 3D beam deformation monitoring", J. Survey. Eng., 139(3), 143-155. https://doi.org/10.1061/(ASCE)SU.1943-5428.0000105
  21. Lichti, D.D., Jamtsho, S., El-Halawany, S.I., Lahamy, H., Chow, J., Chan, T.O. and El-Badry, M. (2011), "Structural deflection measurement with a range camera", J. Survey. Eng., 138(2), 66-76.
  22. Moradi-Marani, F., Rivard, P., Lamarche, C.P. and Kodjo, S.A. (2014), "Evaluating the damage in reinforced concrete slabs under bending test with the energy of ultrasonic waves", Constr. Build. Mater., 73, 663-673. https://doi.org/10.1016/j.conbuildmat.2014.09.050
  23. Nagrodzka-Godycka, K., Szulwic, J. and Ziolkowski, P. (2014), "The method of analysis of damage reinforced concrete beams using terrestrial laser scanning", Proceedings of the 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing, 3, 335-342.
  24. Nagrodzka-Godycka, K., Szulwic, J. and Ziolkowski, P. (2015), "Method of selective fading as a educational tool to study the behaviour of prestressed concrete elements under excess loading", Proceedings of the ICERI2015, 472-479
  25. Olsen, M.J., Kuester, F., Chang, B.J. and Hutchinson, T.C. (2009), "Terrestrial laser scanning-based structural damage assessment", J. Comput. Civil Eng., 24(3), 264-272. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000028
  26. Paszotta, Z. and Szumilo, M. (2010), "A web-based approach for online digital terrain model and orthoimage generation", Proceedings of the 1st International Workshop on pervasive Web Mapping, Geoprocessing and Services, 26-27.
  27. Qi, X., Lichti, D., El-Badry, M., Chow, J. and Ang, K. (2014), "Vertical dynamic deflection measurement in concrete beams with the Microsoft kinect", Sensors, 14(2), 3293-3307. https://doi.org/10.3390/s140203293
  28. Rucka, M. and Wilde, K. (2013), "Experimental study on ultrasonic monitoring of splitting failure in reinforced concrete", J. Nondestr. Eval., 32(4), 372-383. https://doi.org/10.1007/s10921-013-0191-y
  29. Szulwic, J., Burdziakowski, P., Janowski, A., Przyborski, M., Tysiac, P., Wojtowicz, A.,...and Matysik, M. (2015), "Maritime laser scanning as the source for spatial data", Polish Maritime Res., 22(4), 9-14.
  30. Teza, G., Galgaro, A. and Moro, F. (2009), "Contactless recognition of concrete surface damage from laser scanning and curvature computation", NDT & E Int., 42(4), 240-249. https://doi.org/10.1016/j.ndteint.2008.10.009
  31. Wang, W. and Tsui, H.T. (2000), "A SVD decomposition of essential matrix with eight solutions for the relative positions of two perspective cameras", Proceedings 15th International Conference Pattern Recognition, 1, 362-365.
  32. Windisch A. (1988), "Das Modell der charakteristischen Bruchguerschnitte", Beton und Stahlbetonbau, 83(9), 251-255. https://doi.org/10.1002/best.198800400

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