[1]
T. Uhl, P. Kohut, K. Holak, Prototype of the vision system for deflection measurements. Diagnostyka (4), 3–11, (2011)
Google Scholar
[2]
T. Uhl, P. Kohut, K. Holak, K. Krupiński, Vision based condition assessment of structures, Journal of Physics, Conference Series, vol. 305 (2011) p.1–10
DOI: 10.1088/1742-6596/305/1/012043
Google Scholar
[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, p.391–398, (2005)
Google Scholar
[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, p.1–8, St.Louis, USA, (2005)
Google Scholar
[5]
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)
DOI: 10.1201/9781439828441.ch134
Google Scholar
[6]
H.J. Guo, Z. Li, Structural damage detection based on strain energy and evidence theory. Journal of Applied Mechanics and Materials 48–49, 1122–11256, (2011)
DOI: 10.4028/www.scientific.net/amm.48-49.1122
Google Scholar
[7]
X. Chen, H. Zhu, C. Chen, Structural damage identification using test static databased on grey system theory, Journal of Zhejiang University Science 6(5), 790–796, (2005)
DOI: 10.1631/jzus.2005.a0790
Google Scholar
[8]
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)
DOI: 10.1201/9781439828441.ch134
Google Scholar
[9]
H.J. Guo, Z. Li, Structural damage detection based on strain energy and evidence theory. Journal of Applied Mechanics and Materials 48–49, 1122–11256, (2011)
DOI: 10.4028/www.scientific.net/amm.48-49.1122
Google Scholar
[10]
X. Chen, H. Zhu, C. Chen, Structural damage identification using test static databased on grey system theory, Journal of Zhejiang University Science 6(5), 790–796, (2005)
DOI: 10.1631/jzus.2005.a0790
Google Scholar
[11]
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), 190–206, (2011)
DOI: 10.1111/j.1467-8667.2010.00686.x
Google Scholar
[12]
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)
DOI: 10.1201/9781439828441.ch134
Google Scholar
[13]
S. Patsias, W.J. Staszewski, Damage detection using optical measurements and wavelets. Structural Health Monitoring 1(1), 5–22, (2002)
DOI: 10.1177/147592170200100102
Google Scholar
[14]
A. Gałęzia, S. Gontarz, M. Jasiński, J. Mączak, S. Radkowski, J. Seńko, Distributed system for monitoring the large scale infrastructure structures based on changes analysis of its static and dynamic properties. Key Engineering Materials. Vol. 518, 2012, pp.106-118, 2012
DOI: 10.4028/www.scientific.net/KEM.518.106
Google Scholar
[15]
P. Szulim, K. Lubikowski, J. Mączak, K. Rokicki, Low-budget magnetic field transducers for construction diagnosis, Proceedings of the Institute of Vehicles, 3(89), (2012)
Google Scholar
[16]
Hartley R., Zisserman A., Multiple View Geometry in Computer Vision, Cambridge University Press, 2004.
Google Scholar
[17]
Z. Zhang. A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell., 22 (11) (2000) 1330-1334.
DOI: 10.1109/34.888718
Google Scholar
[18]
J. Bajkowski, M. Jasiński, J. Mączak, S. Radkowski, R. Zalewski, The active magnetorheological support as an element of damping of vibrations transferred from the ground to large-scale structure supports. Key Engineering Materials, Vol. 518, pp.350-357, 2012
DOI: 10.4028/www.scientific.net/KEM.518.350
Google Scholar