Smart Structures and Systems

  • 제19권6호
  • /
  • Pages.679-694
  • /
  • 2017
  • /
  • 1738-1584(pISSN)
  • /
  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Dynamic torsional response measurement model using motion capture system

  • Park, Hyo Seon (Department of Architectural Engineering, Yonsei University) ;
  • Kim, Doyoung (Department of Architectural Engineering, Yonsei University) ;
  • Lim, Su Ah (Department of Architectural Engineering, Yonsei University) ;
  • Oh, Byung Kwan (Center for Structural Health Care Technology in Building, Yonsei University)
  • 투고 : 2016.11.02
  • 심사 : 2017.05.07
  • 발행 : 2017.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

The complexity, enlargement and irregularity of structures and multi-directional dynamic loads acting on the structures can lead to unexpected structural behavior, such as torsion. Continuous torsion of the structure causes unexpected changes in the structure's stress distribution, reduces the performance of the structural members, and shortens the structure's lifespan. Therefore, a method of monitoring the torsional behavior is required to ensure structural safety. Structural torsion typically occurs accompanied by displacement, but no model has yet been developed to measure this type of structural response. This research proposes a model for measuring dynamic torsional response of structure accompanied by displacement and for identifying the torsional modal parameter using vision-based displacement measurement equipment, a motion capture system (MCS). In the present model, dynamic torsional responses including pure rotation and translation displacements are measured and used to calculate the torsional angle and displacements. To apply the proposed model, vibration tests for a shear-type structure were performed. The torsional responses were obtained from measured dynamic displacements. The torsional angle and displacements obtained by the proposed model using MCS were compared with the torsional response measured using laser displacement sensors (LDSs), which have been widely used for displacement measurement. In addition, torsional modal parameters were obtained using the dynamic torsional angle and displacements obtained from the tests.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea (NRF)

참고문헌

  1. Ansari, F. (1997), "State-of-the-art in the applications of fiberoptic sensors to cementitious composites", Cement Concrete Comp., 19(1), 3-19. https://doi.org/10.1016/S0958-9465(96)00038-8
  2. Breuer, P., Chmielewski, T., Orski, P.G. and Konopka, E. (2002), "Application of GPS technology to measurements of displacements of high-rise structures due to weak winds", J. Wind Eng. Ind. Aerod., 90(3), 223-230. https://doi.org/10.1016/S0167-6105(01)00221-5
  3. Brincker, R., Zhang, L. and Andersen, P. (2001), "Modal identification of output-only systems using frequency domain decomposition", Smart Mater. Struct., 10(3), 441-445. https://doi.org/10.1088/0964-1726/10/3/303
  4. Casciati, F. and Fuggini, C. (2011), "Monitoring a steel building using GPS sensors", Smart Struct. Syst., 7(5), 349-363. https://doi.org/10.12989/sss.2011.7.5.349
  5. Celebi, M. and Sanli, A. (2002), "GPS in pioneering dynamic monitoring of long-period structures", Earthq. Spectra, 18(1), 47-61. https://doi.org/10.1193/1.1461375
  6. Chan, W.S., Xu, Y.L., Ding, X.L., Xiong, Y.L. and Dai, W.J. (2006), "Assessment of dynamic measurement accuracy of GPS in three directions", J. Surv. Eng. - ASCE, 132(3), 108-117. https://doi.org/10.1061/(ASCE)0733-9453(2006)132:3(108)
  7. Chen, L., Zhang, W.G., Wang, L., Zhang, H., Sieg, J., Zhou, Q., Zhang, L.Y., Wang, B. and Yan, T.Y. (2014), "In-fiber torsion sensor based on dual polarized Mach-Zehnder interference", Opt. Express, 22(26), 31654-31664. https://doi.org/10.1364/OE.22.031654
  8. Chen, W., Lou, S., Wang, L., Zou, H., Lu, W. and Jean, S. (2011), "Highly sensitive torsion sensor based on sagnac interferometer using side-leakage photonic crystal fiber", IEEE Photonic. Tech. L., 23(21), 1639-1641. https://doi.org/10.1109/LPT.2011.2166062
  9. Choi, S.W., Kim, I.S., Park, J.H., Kim, Y., Sohn, H.G. and Park, H.S. (2013), "Evaluation of stiffness changes in a high-rise building by measurements of lateral displacements using GPS technology", Sensors, 13(11), 15489-15503. https://doi.org/10.3390/s131115489
  10. Duffey, T.A., Doebling, S.W., Farrar, C.R., Baker, W.E. and Rhee, W.H. (2001), "Vibration-based damage identification in structures exhibiting axial torsional responses", J. Vib. Acoust., 123(1), 84-91. https://doi.org/10.1115/1.1320445
  11. Frangopol, D.M., Strauss, A. and Kim, S. (2008), "Use of monitoring extreme data for the performance prediction of structures: General approach", Eng. Struct., 30(12), 3644-3653. https://doi.org/10.1016/j.engstruct.2008.06.010
  12. Fraser, C.S. and Riedel, B. (2000), "Monitoring the thermal deformation of steel beams via vision metrology", ISPRS-J. Photogramm. Remote Sens., 55(4), 268-276. https://doi.org/10.1016/S0924-2716(00)00024-1
  13. Im, S.B., Cloudt, G.C., Fogle, J.A. and Hurlebaus, S. (2013), "Enhanced damage index method using torsion modes of structures", Smart Struct. Syst., 12(3-4), 427-440. https://doi.org/10.12989/sss.2013.12.3_4.427
  14. Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J.A., Sim, S.H., Jung, H.J., Yun, C.B., Spencer Jr., B.F. and Agha, G. (2010), "Structural health monitoring of a cable-stayed bridge using smart sensor technology: Development and evaluation", Smart Struct. Syst., 6(5-6), 439-459. https://doi.org/10.12989/sss.2010.6.5_6.439
  15. Jeon, H., Kim, Y., Lee, D. and Myung, H. (2014), "Vision-based remote 6-DOF structural displacement monitoring system using a unique marker", Smart Struct. Syst., 13(6), 927-942. https://doi.org/10.12989/sss.2014.13.6.927
  16. Juang, J.C. (2000), "On GPS positioning and integrity monitoring", IEEE T. Aero. Elec. Sys., 36(1), 327-336. https://doi.org/10.1109/7.826339
  17. Keyence Co. (2016), IL Series Instruction Manual, http://www.keyence.com
  18. Lava, P., Cooreman, S. and Debruyne, D. (2010), "Study of systematic errors in strain fields obtained via DIC using heterogeneous deformation generated by plastic FEA", Opt. Lasers Eng., 48(4), 457-468. https://doi.org/10.1016/j.optlaseng.2009.08.013
  19. Lovse, J., Teskey, W., Lachapelle, G. and Cannon, M. (1995), "Dynamic deformation monitoring of tall structure using GPS technology," J. Surv. Eng. - ASCE, 121(1), 35-40. https://doi.org/10.1061/(ASCE)0733-9453(1995)121:1(35)
  20. Ni, Y.Q., Xia, Y., Lin, W., Chen, W.H. and Ko, J.M. (2012), "SHM benchmark for high-rise structures: A reduced-order finite element model and field measurement data", Smart Struct. Syst., 10(4), 411-426. https://doi.org/10.12989/sss.2012.10.4_5.411
  21. Oh, B.K., Hwang, J.W., Kim, Y., Cho, T. and Park, H.S. (2015), "Vision-based system identification technique for building structures using a motion capture system", J. Sound Vib., 356, 72-85. https://doi.org/10.1016/j.jsv.2015.07.011
  22. Olaszek, P. (1999), "Investigation of the dynamic characteristic of bridge structures using a computer vision method", Measurement, 25(3), 227-236. https://doi.org/10.1016/S0263-2241(99)00006-8
  23. NaturalPoint, Inc. DBA OptiTrack. (2016), http://www.optitrack.com/
  24. Park, H.S., Sohn, H.G., Kim, I.S. and Park, J.H. (2008), "Application of GPS to monitoring of wind-induced responses of high-rise buildings", Struct. Des. Tall Spec. Build., 17(1), 117-132. https://doi.org/10.1002/tal.335
  25. Park, H.S., Park, K.H., Kim, Y. and Choi, S.W. (2015a), "Deformation monitoring of a building structure using a motion capture system", IEEE/ASME T. Mech., 20(5), 2276-2284. https://doi.org/10.1109/TMECH.2014.2374219
  26. Park, J.W., Sim, S.H. and Jung, H.J. (2013), "Displacement estimation using multimetric data fusion", IEEE/ASME Trans. Mechatronics, 18(6), 1675-1682. https://doi.org/10.1109/TMECH.2013.2275187
  27. Park, S.W., Park, H.S., Kim, J. and Adeli, H. (2015b), "3D displacement measurement model for health monitoring of structures using a motion capture system", Measurement, 59, 352-362. https://doi.org/10.1016/j.measurement.2014.09.063
  28. Roberts, G.W., Dodson, A.H. and Ashkenazi, V. (1999), "Twist and deflect: monitoring motion of the Humber Bridge", GPS World, 10(10), 24-34.
  29. Roberts, G.W., Meng, X. and Dodson, A.H. (2004), "Integrating a global positioning system and accelerometers to monitor the deflection of bridges", J. Surv. Eng. - ASCE, 130(2), 65-72. https://doi.org/10.1061/(ASCE)0733-9453(2004)130:2(65)
  30. Vicon Motion Systems Ltd. (2016), http://www.vicon.com/
  31. Yacamini, R., Smith, K.S. and Ran, L. (1998), "Monitoring torsional vibrations of electro-mechanical systems using stator currents", J. Vib. Acoust., 120(1), 72-79. https://doi.org/10.1115/1.2893829
  32. Yang, R., Bao, H., Zhang, S., Ni, K., Zheng, Y. and Dong, X. (2015), "Simultaneous measurement of tilt angle and temperature with pendulum-based fiber bragg grating sensor", IEEE Sens. J., 15(11), 6381-6384. https://doi.org/10.1109/JSEN.2015.2458894
  33. Yi, T.H., Li, H.N. and Gu, M. (2013), "Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer", Smart Struct. Syst., 11(4), 331-348. https://doi.org/10.12989/sss.2013.11.4.331
  34. Yoshida, S., Dyke, S.J., Giacosa, L.M. and Truman, K.Z. (2003), "Experimental verification of torsional response control of asymmetric buildings using MR dampers", Earthq. Eng. Struct. D., 32(13), 2085-2105. https://doi.org/10.1002/eqe.316
  35. Zhang, W., Kai, G., Dong, X., Yuan, S. and Zhao, Q. (2002), "Temperature-independent FBG-type torsion sensor based on combinatorial torsion beam", IEEE Photonic. Tech. L., 14(8), 1154-1156. https://doi.org/10.1109/LPT.2002.1022000