3D displacement measurement model for health monitoring of structures using a motion capture system

Measurement: Journal of the International Measurement Confederation

Volumn 59, Issue , 2015, Pages 352-362

  Park, S W ^a   Park, H S ^b   Kim, J H ^b   Adeli, Hojjat ^c  

^a Daelim Industrial Co Ltd   (South Korea)

^b Yonsei University   (South Korea)

^c Ohio State University   (United States)

Author keywords

3D motion capture; Displacement measurement; Structural health monitoring; Vision based monitoring

Indexed keywords

CAMERAS; DIGITAL SIGNAL PROCESSING; GLOBAL POSITIONING SYSTEM; STEEL BEAMS AND GIRDERS; STRUCTURAL HEALTH MONITORING; SURVEYING INSTRUMENTS;

3D DISPLACEMENT MEASUREMENTS; 3D MOTION CAPTURE; HEALTH MONITORING OF STRUCTURE; LASER DISPLACEMENT SENSORS; MOTION CAPTURE SYSTEM; STRUCTURAL DISPLACEMENT; TERRESTRIAL LASER SCANNING; VISION BASED;

DISPLACEMENT MEASUREMENT;

EID: 84908433310     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2014.09.063     Document Type: Article

References (83)

1. 3M, 3M™ Scotchlite™ Reflective Material < http://solutions.3m.com/wps/portal/3M/en-US/ScotchliteReflectiveMaterial/Scotchlite/ > (25.07.13).
2. H. Adeli, J. Gere, and W. Weaver Jr. Algorithms for nonlinear structural dynamics J. Struct. Div., ASCE 104 2 1978 263 280
3. H. Adeli, and X. Jiang Dynamic fuzzy wavelet neural network model for structural system identification J. Struct. Eng., ASCE 132 1 2006 102 111
4. H. Adeli, and H. Kim Wavelet-based vibration control of smart buildings and bridges 2009 CRC Press, Taylor & Francis Boca Raton, Florida
5. H. Adeli, and X. Jiang Intelligent infrastructure - neural networks, wavelets, and chaos theory for intelligent transportation systems and smart structures 2009 CRC Press, Taylor & Francis Boca Raton, Florida
6. A.P. Adewuyi, and Z. Wu Vibration-based damage localization in flexural structures using normalized modal macrostrain techniques from limited measurements Comput.-Aided Civil Infrastructure Eng. 26 3 2011 154 172
7. U. Aldemir, A. Yanik, and M. Bakiogl Control of structural response under earthquake excitation Comput.-Aided Civil Infrastructure Eng. 27 8 2012 620 638
8. B. Bailey, Real time 3D motion tracking for interactive computer simulations, 2007, < http://www3.imperial.ac.uk/pls/portallive/docs/1/20673697.PDF > (17.09.13).
9. M. Bitaraf, S. Hurlebaus, and L.R. Barroso Active and semi-active adaptive control for undamaged and damaged building structures under seismic load Comput.-Aided Civil Infrastructure Eng. 27 1 2012 48 64
10. M. Bocca, A. Mahmood, L.M. Eriksson, J. Kullaa, and R. Jäntti A synchronized wireless sensor network for experimental modal analysis in structural health monitoring Comput.-Aided Civil Infrastructure Eng. 26 7 2011 483 499
11. P. Breuer, T. Chmielewski, P. Górski, and E. Konopka Application of GPS technology to measurements of displacements of high-rise structures due to weak winds J. Wind Eng. Ind. Aerodyn. 90 3 2002 223 230
12. M. Celibi GPS in dynamic monitoring of long-period structures Soil Dyn. Earthquake Eng. 20 5-8 2000 477 483
13. B.H. Cho, J.S. Jo, S.J. Joo, and H. Kim Dynamic parameter identification of secondary mass dampers based on full-scale tests Comput.-Aided Civil Infrastructure Eng. 27 3 2012 218 230
14. S.W. Choi, B.R. Kim, H.M. Lee, Y. Kim, and H.S. Park A deformed shape monitoring model for building structures based on a 2D laser scanner Sensors 13 5 2013 6746 6758
15. G.A.P. Coronado, M.R. Muñoz, J.M. Armingol, A. de la Escalera, J.J. Muñoz, W. van Bijsterveld, and J.A. Bolaño Detection and classification of road signs for automatic inventory systems using computer vision Integrated Comput.-Aided Eng. 19 3 2012 285 298
16. D. Cusson, Z. Lounis, and L. Daigle Monitoring life cycle performance of aging concrete highway bridges built in corrosive environments Comput.-Aided Civil Infrastructure Eng. 26 7 2011 524 541
17. E. Figueiredo, G. Park, J. Figueiras, C. Farrar, and K. Worden Influence of the autoregressive model order on damage detection Comput.-Aided Civil Infrastructure Eng. 26 3 2011 225 238
18. N.R. Fisco, and H. Adeli Smart structures: Part I - active and semi-active control Sci. Iran. 18 3 2011 275 284
19. N.R. Fisco, and H. Adeli Smart structures: Part II - hybrid control systems and control strategies Sci. Iran. 18 3 2011 285 295
20. C. Fuggini, E. Chatzi, D. Zangani, and T.B. Messervey Combining genetic algorithm with a meso-scale approach for system identification of a smart polymeric textile Comput.-Aided Civil Infrastructure Eng. 28 3 2013 227 245
21. M.V. Gangone, M.J. Whelan, and K.D. Janoyan Wireless monitoring of a multi-span bridge superstructure for diagnostic load testing and system identification Comput.-Aided Civil Infrastructure Eng. 26 7 2011 560 579
22. S. Gordon, and D. Lichti Modeling terrestrial laser scanner data for precise structural deformation measurement J. Surv. Eng. 133 2 2007 72 80
23. T.A. Hampshire, and H. Adeli Monitoring the behavior of steel structures using distributed optical fiber sensors J. Constr. Steel Res. 53 3 2000 267 281
24. B. Hazra, A. Sadhu, A.J. Roffel, and S. Narasimhan Hybrid time-frequency blind source separation - towards ambient system identification of structures Comput.-Aided Civil Infrastructure Eng. 27 5 2012 314 332
25. R. Jafarkhani, and S.F. Masri Finite element model updating using evolutionary strategy for damage detection Comput.-Aided Civil Infrastructure Eng. 26 3 2011 207 224
26. Y. Ji A computer vision based approach for structural displacement measurement Sens. Smart Struct. Technol. Civil, Mech., Aerospace Syst., SPIE 7647 2010 76473H
27. X. Jiang, and H. Adeli Dynamic wavelet neural network for nonlinear identification of highrise buildings Comput.-Aided Civil Infrastructure Eng. 20 5 2005 316 330
28. X. Jiang, and H. Adeli Pseudospectra, music, and dynamic wavelet neural network for damage detection of highrise buildings Int. J. Numer. Methods Eng. 71 5 2007 606 629
29. X. Jiang, and H. Adeli Dynamic fuzzy wavelet neuroemulator for nonlinear control of irregular highrise building structures Int. J. Numer. Methods Eng. 74 7 2008 1045 1066
30. X. Jiang, and H. Adeli Neuro-genetic algorithm for nonlinear active control of highrise buildings Int. J. Numer. Methods Eng. 75 7 2008 770 786
31. X. Jiang, S. Mahadevan, and H. Adeli Bayesian wavelet packet denoising for structural system identification Struct. Control Health Monit. 14 2 2007 333 356
32. X. Jiang, Z.J. Ma, and W.X. Ren Crack detection from the slope of the mode shape using complex continuous wavelet transform Comput.-Aided Civil Infrastructure Eng. 27 3 2012 187 201
33. M.R. Kaloop, and H. Li Multi input-single output models identification of tower bridge movements using GPS monitoring system Measurement 47 2014 531 539
34. N. Kang, H. Kim, S. Choi, S. Jo, J.S. Hwang, and E. Yu Performance evaluation of TMD under typhoon using system identification and inverse wind load estimation Comput.-Aided Civil Infrastructure Eng. 27 6 2012 455 473
35. Keyence, LB-1000 Series Instruction Manual, 2013, < http://www.keyence.com.sg/downloads/laser-displacement07.php > (14.06.13).
36. T.L. Kijewski-Correa, and A. Kareem The Chicago monitoring project: a fusion of information technologies and advanced sensing for civil infrastructure Z. Wu, M. Abe, Proc. SHMII-1 Structural Health Monitoring and Intelligent Infrastructures 2 2003 Swets & Zeitlinger Amsterdam, The Netherlands 1003 1010
37. J.W. Kim, H.E. Jeon, and J. Lee Network management framework and lifetime evaluation method for wireless sensor networks Integrated Comput.-Aided Eng. 19 2 2012 165 178
38. N. Lajnef, M. Rhimi, L. Mhamdi, K. Chatti, and F. Faridazar Toward a smart, long-term pavement monitoring system Comput.-Aided Civil Infrastructure Eng. 6 7 2011 513 523
39. S.R. Lang, J.M. Pauschke, D.J. Ryan, Sensors for structural displacement measurement, in: Proc. of 8th Optical Fiber Sensors Conf., 1992, pp. 109-111.
40. J.J. Lee, Y. Fukuda, M. Shinozuke, S. Cho, and C.B. Yun Development and application of a vision based displacement measurement system for structural health monitoring of civil structures Smart Struct. Syst. 3 3 2007 373 384
41. H.M. Lee, J.M. Kim, K. Sho, and H.S. Park A wireless vibrating wire sensor node for continuous structural health monitoring Smart Mater. Struct. 19 5 2010 055004
42. H.M. Lee, and H.S. Park Estimation of deformed shapes of beam structures using 3D coordinate information from terrestrial laser scanning Comput. Model. Eng. Sci. 29 1 2008 29 44
43. H.M. Lee, and H.S. Park Gauge-free stress estimation of a beam-like structure based on terrestrial laser scanning Comput.-Aided Civil Infrastructure Eng. 26 8 2011 647 658
44. J.J. Lee, and M. Shinozuka A vision-based system for remote sensing of bridge displacement NDT E Int. 39 5 2006 425 431
45. Y. Lei, D.T. Wu, and Y. Lin A decentralized control algorithm for large-scale building structures Comput.-Aided Civil Infrastructure Eng. 27 1 2012 2 13
46. H. Li, Y. Huang, W.L. Chen, M.L. Ma, D.W. Tao, and J.P. Ou Estimation and warning of fatigue damage of FRP stay cables based on acoustic emission technique and fractal theory Comput.-Aided Civil Infrastructure Eng. 26 7 2011 500 512
47. H. Li, Y. Huang, J. Ou, and Y. Bao Fractal dimension-based damage detection method for beams with a uniform cross-section Comput.-Aided Civil Infrastructure Eng. 26 3 2011 190 206
48. J.W. Loves, W.F. Teskey, G. Lachapelle, and M.E. Cannon Dynamic deformation monitoring of tall structure using GPS technology J. Surv. Eng. 121 1 1995 35 40
49. D. Luo, Z.B. Ibrahim, and Z. Ismail Optimization of the geometries of biconical tapered fiber sensors for monitoring the early-age curing temperatures of concrete specimens Comput.-Aided Civil Infrastructure Eng. 28 7 2013 531 541
50. P.F. Luo, Y.J. Chao, M.A. Sutton, and W.H. Peters Accurate measurement of three dimensional deformations in deformable and rigid bodies using computer vision Exp. Mech. 33 2 1993 123 132
51. G.C. Marano, G. Quaranta, and G. Monti Modified genetic algorithm for the dynamic identification of structural systems using incomplete measurements Comput.-Aided Civil Infrastructure Eng. 26 2 2011 92 110
52. S. Nakamura GPS measurement of wind-induced suspension bridge girder displacements J. Struct. Eng. 126 12 2000 1413 1419
53. H.H. Nassif, M. Gindy, and J. Davis Comparison of laser doppler vibrometer with contact sensors for monitoring bridge deflection and vibration NDT E Int. 38 3 2005 213 218
54. A. Nickitopoulou, K. Protopsalti, and S. Stiros Monitoring dynamic and quasi-static deformations of large flexible engineering structures with GPS: accuracy, limitations and promises Eng. Struct. 28 10 2006 1471 1482
55. T. Nishikawa, Y. Fujino, J. Yoshida, and T. Sugiyama Concrete crack detection by multiple sequential image filtering Comput.-Aided Civil Infrastructure Eng. 27 1 2012 29 47
56. P. Olaszek Investigation of the dynamic characteristic of bridge structures using a computer vision method Measurement 25 1999 227 236
57. R.A. Osornio-Rios, J.P. Amezquita-Sanchez, R.J. Romero-Troncoso, and A. Garcia-Perez Music-neural network analysis for locating structural damage in truss-type structures by means of vibrations Comput.-Aided Civil Infrastructure Eng. 27 9 2012 687 698
58. H.S. Park, H.M. Lee, H. Adeli, and I. Lee A new approach for health monitoring of structures: terrestrial laser scanning Comput.-Aided Civil Infrastructure Eng. 22 1 2007 19 30
59. H.S. Park, H.G. Sohn, I.S. Kim, and J.H. Park Application of GPS to monitoring of wind-induced responses of high-rise buildings Struct. Des. Tall Spec. Build. 17 1 2008 117 132
60. H.S. Park, S. Son, S.W. Choi, and Y. Kim Wireless laser range finder system for vertical displacement monitoring of mega-trusses during construction Sensors 13 5 2013 5796 5813
61. J.W. Park, J.J. Lee, H.J. Jung, and H. Myung Vision-based displacement measurement method for high-rise building structures using partitioning approach NDT E Int. 43 7 2010 642 647
62. K.T. Park, S.H. Kim, H.S. Park, and K.W. Lee The determination of bridge displacement using measured acceleration Eng. Struct. 27 3 2005 371 378
63. P.A. Psimoulis, and S.C. Stiros Experimental assessment of the accuracy of GPS and RTS for the determination of the parameters of oscillation of major structures Comput.-Aided Civil Infrastructure Eng. 23 5 2008 389 403
64. L. Qiao, A. Esmaeily, and H.G. Melhem Signal pattern-recognition for damage diagnosis in structures Comput.-Aided Civil Infrastructure Eng. 27 9 2012 699 710
65. A.M. Raich, and T.R. Liszkai Multi-objective optimization of sensor and excitation layouts for frequency response function-based structural damage identification Comput.-Aided Civil Infrastructure Eng. 27 2 2012 95 117
66. Riegl, Datasheet riegl VZ-4000, 2013, < http://www.riegl.com/nc/products/ terrestrial-scanning > (25.07. 13).
67. F. Schoefs, H. Yáñez-Godoy, and F. Lanata Polynomial chaos representation for identification of mechanical characteristics of instrumented structures Comput.-Aided Civil Infrastructure Eng. 26 3 2011 173 189
68. A. Seco, F. Tirapu, F. Ramirez, B. Garcia, and J. Cabrejas Assessing building displacement with GPS Build. Environ. 42 1 2007 393 399
69. G.F. Sirca Jr., and H. Adeli System identification in structural engineering Sci. Iran. 19 6 2012 1355 1364
70. A. Smyth, and J. Pei Integration of measured response signals for nonlinear structural health monitoring Proc. Workshop on Nonlinear Structural Control 2000 University of Southern California
71. W.S. Su, C.Y. Liu, and C.S. Huang Identification of instantaneous modal parameters of time varying systems via a wavelet-based approach and its applications Comput.-Aided Civil Infrastructure Eng. 29 4 2014 279 298
72. I. Talebinejad, C. Fischer, and F. Ansari Numerical evaluation of vibration based methods for damage assessment of cable stayed bridges Comput.-Aided Civil Infrastructure Eng. 26 3 2011 239 251
73. Y. Tamura, M. Matsui, L.C. Pagnini, R. Ishibashi, and A. Yoshida Measurement of wind-induced response of buildings using RTK-GPS J. Wind Eng. Ind. Aerodyn. 90 12-15 2002 1783 1793
74. L. Truong-Hong, D.F. Laefer, T. Hinks, and H. Carr Combining an angle criterion with voxelization and the flying voxel method in reconstructing building models from LiDAR data Comput.-Aided Civil Infrastructure Eng. 28 2 2013 112 129
75. Vicon, T-series brochure, 2013, < http://www.vicon.com/products/t160.html > (14.06.13).
76. A.M. Wahbeh, J.P. Caffrey, and S.F. Masri A vision-based approach for the direct measurement of displacements in vibrating systems Smart Mater. Struct. 12 5 2003 785 794
77. S.B. Walsh, D.J. Borello, B. Guldur, and J.F. Hajjar Data processing of point clouds for object detection for structural engineering applications Comput.-Aided Civil Infrastructure Eng. 28 7 2013 495 508
78. Wikipedia, Rotation formalisms in three dimensions, 2014, < http://en.wikipedia.org/wiki/Rotation-formalisms-in-three-dimensions > (16.08.14).
79. Y. Xia, Y.Q. Ni, P. Zhang, W.Y. Liao, and J.M. Ko Stress development of a super-tall structure during construction: numerical analysis and field monitoring verification Comput.-Aided Civil Infrastructure Eng. 26 7 2011 542 559
80. J. Xiang, and M. Liang Wavelet-based detection of beam cracks using modal shape and frequency measurements Comput.-Aided Civil Infrastructure Eng. 27 6 2012 439 454
81. W.J. Yan, and W.X. Ren Operational modal parameter identification from power spectrum density transmissibility Comput.-Aided Civil Infrastructure Eng. 27 3 2012 202 217
82. S. Yehia, T. Landolsi, M. Hassan, and M. Hallal Monitoring of strain induced by heat of hydration, cyclic and dynamic loads in concrete structures using fiber-optics sensors Measurement 52 2014 33 46
83. T. Yi, H. Li, and M. Gu Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge Measurement 46 1 2014 420 432