PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Vision data employed for crack detection and localization

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays, non-contact measurement systems have found application in the Structural Health Monitoring of civil engineering structures for the detection, localization and assessment of damage. In the field of static deflection measurement, the vision based techniques have become more popular. The deflection curve obtained by image processing and analysis methods can be analyzed in order to detect and localize the change of the curvature, which implies the appearance of a crack. In this paper, the vision based deflection measurement system is discussed. The deflection of beam-like structures is computed by means of digital image correlation. The damage detection and localization is based on the irregularity detection by means of analyzing the deflection curve. A new approach and some selected methods for damage detection and localization will be highlighted and their results obtained in the laboratory setup will be presented and discussed.
Czasopismo
Rocznik
Tom
Strony
35--41
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
autor
autor
autor
  • AGH University of Science and Technology, Department of Robotics and Mechatronics, al. A. Mickiewicza 30, 30-059 Krakow, Poland, pko@agh.edu.pl
Bibliografia
  • [1] T. Uhl, P. Kohut, K. Holak, Prototype of the vision system for deflection measurements. Diagnostyka (4), (2011), 3-11.
  • [2] T. Uhl, P. Kohut, K. Holak, K. Krupiński, Vision based condition assessment of structures, Journal of Physics, Conference Series, vol. 305 (2011) 1-10.
  • [3] P. Kohut, P. Kurowski, The integration of vision based measurement system and modal analysis for detection and localization of damage Engineering achievements across the global village, The International Journal of INGENIUM, (2005), 391-398.
  • [4] P. Kohut, P. Kurowski, The integration of vision system and modal analysis for SHM applications Proceedigns, Of the IMAC-XXIV a conference and exposition on structural dynamics, St.Louis, USA, (2005), 1-8.
  • [5] B. Jaishi, W. Rex, Damage detection by finite element model updating using modal flexibility residual. Journal of Sound and Vibration 290, (2006), 369-387.
  • [6] P. Cawley, R. Adams, The location of defects in structures from measurements of natural frequencies. Journalof Strain Analysis 14, (1979), 49-57.
  • [7] M. West M, Illustration of the use of modal assurance criterion to detect structural changes in an orbiter test specimen, Proceedings of the Air Force Conference on Aircraft Structural Integrity, 1984.
  • [8] N. Lieven, D. Ewins, Spatial correlation of mode shapes, the coordinate modal assurance criterion (COMAC), Proceedings of the Sixth International Modal Analysis Conference, (1988), 690 - 695.
  • [9] M. Salehi, S. Ziaei-Rad, A structural damage detection technique based on modal strain energy, Proceeding of 17th Annual (International) Conference on Mechanical Engineering ISME2009, 2009.
  • [10] H. Guan, V. Karrbhari, Improved damage detection method based onelement modal strain damage index using sparse measurement, Journal of Sound and Vibration 309, (2008), 455-494.
  • [11] A. K. Pandey, M. Biswas, M. M. Samman, Damage detection from changes in curvature mode shapes, Journal of Sound and Vibration154, (1994), 321-332.
  • [12] P. Cornwell, S. W. Doebling, C. R. Farrar, Application of the strain energy damage detection method to plate-like structures, Journal of Sound and Vibration, vol. 224, no 2, (1999), 359-374.
  • [13] J. Hensman, C. Surace, M. Gherlone, Detecting mode-shape discontinuities without differentiation - examining a Gaussian process approach, Journal of Physics: Conference Series 305, (2011), 1-10.
  • [14] S. Jang, S. Sim, B. Spencer, Structural damage detection using static strain data, Proceedings of the World Forum on Smart Materials and Smart Structures Technology, China, 2007.
  • [15] H. J. Guo, Z. Li, Structural damage detection based on strain energy and evidence theory. Journal of Applied Mechanics and Materials 48-49, (2011), 1122-1126.
  • [16] X. Chen, H. Zhu, C. Chen, Structural damage identification using test static databased on grey system theory, Journal of Zhejiang University Science 6(5), (2005), 790-796.
  • [17] H. Li, H. Yong, J. O, Y. Bao, Fractal dimension-based damage detection method for beams with a uniform cross-section. Computer Aided Civil and Infrastructure Engineering 26(3), (2011), 190-206.
  • [18] S. Jing, X. Xiangjun, W. Jialai, L. Gong, Beam damage detection using computer vision technology, Nondestructive Testing and Evaluation, Vol. 25, No 3, (2010), 189-204.
  • [19] S. Patsias, W. J. Staszewski, Damage detection using optical measurements and wavelets. Structural Health Monitoring 1(1), (2002), 5-22.
  • [20] R. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2004.
  • [21] Y. Ma, S. Soatto, J. Kosetska , S. Sastry, An Invitation to 3D Computer Vision, Springer-Verlag, New York, 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAR0-0068-0066
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.