Experimental methodology for the dynamic analysis of slender structures based on digital image processing techniques

Mechanical Systems and Signal Processing

Volumn 24, Issue 5, 2010, Pages 1369-1382

  Jurjo, D L B R ^a   Magluta, C ^a   Roitman, N ^a   Goncalves P B ^b  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Digital image processing; Dynamic experimental analysis; Large deflections; Non contact displacement measurements

Indexed keywords

DIGITAL IMAGE PROCESSING; DISPLACEMENT MEASUREMENTS; EXPERIMENTAL ANALYSIS; LARGE DEFLECTION; NON-CONTACT;

DAMPING; DIGITAL IMAGE STORAGE; FLEXIBLE STRUCTURES; IMAGE PROCESSING; IMAGING SYSTEMS; SENSORS;

DYNAMIC ANALYSIS;

EID: 77953136817     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2009.12.006     Document Type: Article

References (45)

1. Cloud G. Unifying concepts in teaching optical methods. Experimental Techniques 26 2 (2002) 31-34
2. Li X., Wei C., and Yang Y. Full field and microregion deformation measurement of thin films using electronic speckle pattern interferometry and array microindentation marker method. Optics and Lasers in Engineering 43 (2005) 869-884
3. Yuaanpeng Z., Huaning Z., Wenling Z., and Hefei L. Application of the Fourier transform in electronic speckle photography. Experimental Mechanics 42 1 (2002) 18-24
4. Yang S.Y., and Lee S.-B. Realization of high sensitivity displacement field from Moiré interferometer with rough phase shifting mechanism and pattern matching technique. Optics and Lasers in Engineering 43 (2005) 721-736
5. Miao H., Gu P., Liu Z.T., Liu G., Wu X.P., and Zhao J.H. Bulge deformation measurement and elastic modulus analysis of nanoporous alumina membrane using time sequence speckle pattern interferometry. Optics and Lasers in Engineering 43 (2005) 885-894
6. Gibson S.M., Coe P.A., Mitra A., Howell D.F., and Nickerson R.B. Coordinate measurement in 2-D and 3-D geometries using frequency scanning interferometry. Optics and Lasers in Engineering 43 (2005) 815-831
7. Valin J., Gonçalves E., Palacios F., and Pérez J. Methodology for analysis of displacement using digital holography. Optics and Lasers in Engineering 43 (2005) 99-111
8. D.L.B.R. Jurjo, Development of a vision system for the dynamic analysis of structures, Internal Report, Department of Civil Engineering, COPPE/UFRJ, 2004.
9. D.L.B.R. Jurjo, Stability analysis of a column under self-weight using digital image processing techniques, Internal Report, Department of Civil Engineering, COPPE/UFRJ, 2004.
10. D.L.B.R. Jurjo, C. Magluta, N. Roitman, P.B. Gonçalves, Dynamic analysis of slender columns under self-weight using digital image processing techniques, in: Proceedings of the 18th International Congress of Mechanical Engineering, 2005.
11. D.L.B.R. Jurjo, C. Magluta, N. Roitman, P.B. Gonçalves, Dynamic analysis of slender columns under self-weight, in: Proceedings of the XXVI Iberian Latin-American Congresso on Computational Methods in Engineering, 2005 (in Portuguese).
12. Lee J.J., and Shinozuka M. Real- time displacement measurement of a flexible bridge using digital image processing techniques. Experimental Mechanics 46 (2006) 105-144
13. Jones A., Shaw J., and Wineman A. An experimental facility to measure the chemorheological response of inflated elastomeric membranes at high temperature. Experimental Mechanics 46 (2006) 579-587
14. Wahbeh A.M., Caffrey J.P., and Masri S.F. A vision-based approach for the direct measurement of displacements in vibrating systems. Smart Materials and Structures 12 (2003) 785-794
15. Olaszek P. Investigation of the dynamic characteristics of bridge structures using computer vision method. Measurement 25 (1999) 227-236
16. Chermant J.-L., and Coster M. Image analysis and mathematical morphology for civil engineering materials. Cement & Concrete Composites 23 (2001) 133-151
17. J. Lawler, D. Keane, S. Shah, Measuring three-dimensional damage in concrete under compression, ACI Materials Journal, Title No. 98-M50, 2001.
18. Skydan O., Lalor M., and Burton D. Using coloured structured light in 3-D surface measurement. Optics and Lasers in Engineering 43 (2005) 801-814
19. Araújo A.G.N., Andrade L.M., and Barros R.M.L. System for kinematic analysis of human march based on videogrammetry. Fisioterapy and Research 11 1 (2005) 3-10 (in Portuguese)
20. P.J. Figueroa, N.J. Leite, R.M.L. Barros, Tracking soccer players aiming their kinematical motion analysis. Computer Vision and Image Understanding, in press, Corrected Proof, Available online 〈www.sciencedirect.com〉, 2005.
21. Figueroa P.J., Leite N.J., and Barros R.M.L. A flexible software for tracking of markers used in human motion analysis. Computer Methods and Programs in Biomedicine 72 2 (2003) 155-165
22. Vasconcelos M.J.M., and Tavares J.M.R.S. Methods to automatically built point distribution models for objects like hand palms and faces represented in images. Computer Modeling in Engineering & Sciences 36 3 (2008) 213-241
23. Gonçalves P.T.C., Tavares J.M.R.S., and Natal Jorge R.M. Segmentation and simulation of objects represented in images using physical principles. Computer Modeling in Engineering and Sciences 32 1 (2008) 45-55
24. Webb S. The Physics of Medical Imaging (1988), Taylor & Francis, New York, USA
25. S.R. Ventura, D.R. Freitas, João Manuel R.S. Tavares, Application of MRI and biomedical engineering in speech production study, Computer Methods in Biomechanics and Biomedical Engineering, ISSN:1025-5842 (print)-1476-8259 (online), Taylor & Francis, doi:10.1080/10255840902865633.
26. F.P.M. Oliveira, J.M.R.S. Tavares, T.C. Pataky, Rapid pedobarographic image registration based on contour curvature and optimization, Journal of Biomechanics, doi:10.1016/j.jbiomech.2009.07.005, 2009.
27. Kody R.S., and Martin D.C. Quantitative characterization of surface deformation in polymer composites using digital image analysis. Polymer Engineering and Science 36 2 (2004) 298-304
28. Albuquerque V.H.C., Cortez P.C., Alexandria A.R., and Tavares J.M.R.S. A new solution for automatic microstructures analysis from images based on a backpropagation artificial neural network. Nondestructive Testing and Evaluation 23 4 (2008) 273-283
29. Albuquerque V.H.C., Alexandria A.R., Cortez P.C., and Tavares J.M.R.S. Evaluation of multilayer perceptron and self-organizing map neural network topologies applied on microstructure segmentation from metallographic images. NDT & E International 42 7 (2009) 644-651
30. Keller A. High resolution, non-destructive measurement and characterization of fracture apertures. International Journal of Rock Mechanics and Mining Sciences 35 8 (1998) 1037-1050
31. Dupré J.C., and Lagarde A. Photoelastic analysis of a three-dimensional specimen by optical slicing and digital image processing. Experimental Mechanics 37 4 (2006) 393-397
32. Durão L.M.P., Tavares J.M.R.S., Magalhães A.G., Marques A.T., and Baptista A.P.M. Damage analysis of carbon/epoxy plates after drilling. International Journal of Materials and Product Technology 32 2/3 (2008) 226-242
33. A.T. Marques, L.M. Durão, A.G. Magalhães, J.F. Silva, J.M.R.S. Tavares Delamination analysis of carbon fibre reinforced laminates: evaluation of a special step drill, Composites Science and Technology, doi:10.1016/j.compscitech.2009.01.025, 2009.
34. Tyson J., Schmidt T., and Galanulis K. Biomechanics deformation and strain measurements with 3D image correlation photogrammetry. Experimental Techniques 26 5 (2002) 39-42
35. Yoneyama S., Morimoto Y., Fujigaki M., and Ikeda Y. Scanning Moiré and spatial-offset phase-stepping for surface inspection of strucutures. Optics and Lasers in Engineering 43 (2005) 659-670
36. IMAQ Vision Concepts Manual (October 2000 Edition) - National Instrum.
37. Y.I. Abdel-Aziz, H.M. Karara, Direct linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry, in: Proceedings of the Symposium on Close-Range Photogrammetry, American Society of Photogrammetry, Falls Church, VA, 1971.
38. Hatze H. High-precision three-dimensional photogrammetric calibration and object space reconstruction using a modified DLT-approach. Journal of Biomechanics 21 (1988) 533-538
39. Chen L., Armstrong C.W., and Raftopoulos D.D. An investigation on the accuracy of three-dimensional space reconstruction using the direct linear transformation technique. Journal of Biomechanics 27 (1994) 493-500
40. R.Y. Tsai, An efficient and accurate camera calibration technique for 3D machine vision, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Miami Beach, FL, 1986.
41. O.D. Faugeras, G. Toscani, The calibration problem for stereo, in: Proceedings of the IEEE Computer vision and Pattern Recognition, 1986.
42. Ito M. Robot vision modeling, camera modeling and camera calibration. Advances in Robotics 5 (1991) 321-335
43. Weng J., Cohen P., and Herniou M. Camera calibration with distortion models and accuracy evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 14 (1992) 965-980
44. Haralick R.M., and Shapiro L.G. Computer and Robot Vision 2 (1993), Addison-Wesley Publishing Company
45. D.L.B.R. Jurjo, Stability of columns under self-weight, M.Sc. Dissertation, Civil Engineering Department, Catholic University, PUC-Rio, 2001.