DOI QR코드

DOI QR Code

Optimal layout of long-gauge sensors for deformation distribution identification

  • Zhang, Qingqing (International Institute for Urban Systems Engineering, Southeast University) ;
  • Xia, Qi (International Institute for Urban Systems Engineering, Southeast University) ;
  • Zhang, Jian (Key Laboratory of Engineering Mechanics of Jiangsu province, Southeast University) ;
  • Wu, Zhishen (International Institute for Urban Systems Engineering, Southeast University)
  • 투고 : 2015.05.30
  • 심사 : 2015.08.20
  • 발행 : 2016.09.25

초록

Structural deflection can be identified from measured strains from long gague sensors, but the sensor layout scheme greatly influences on the accuracy of identified resutls. To determine the optimal sensor layout scheme for accurate deflection identification of the tied arch bridge, the method of optimal layout of long-gauge fiber optic sensors is studied, in which the characteristic curve is first developed by using the bending macro-strain curve under multiple target load conditions, then optimal sensor layout scheme with different number of sensors are determined. A tied arch bridge is studied as an example to verify the effectiveness and robustness of the proposed method for static and dynamic deflection identification.

키워드

참고문헌

  1. Abdullah, M.M., Richardson, A. and Hanif, J. (2001), "Layout of sensors/actuators on civil structures using genetic algorithms", Earthq. Eng. Struct. D., 30, 1167-1184. https://doi.org/10.1002/eqe.57
  2. Buczak, A.L., Wang, H.H., Darabi, H. and Jafari, M.A. (2001), "Genetic algorithm convergence study for sensor network optimization", Inform. Sci., 133(3-4), 267-282. https://doi.org/10.1016/S0020-0255(01)00089-5
  3. He, X., She, T. and Zhao, L. (2012), "A new system for dynamic deflection measurement of highway bridge", Appl. Mech. Mater., 226-228, 1645-1650. https://doi.org/10.4028/www.scientific.net/AMM.226-228.1645
  4. Heo, G., Wang, M. L., and Satpathi, D. (1997), "Optimal transducer layout for health monitoring of long span bridge", Soil. Dyn. Earthq. Eng., 16(7-8), 495-502. https://doi.org/10.1016/S0267-7261(97)00010-9
  5. Kammer, D.C. (1990), "Sensor layout for on-orbit modal identification and correlation of large space structures", Proceedings of the American Control Conf., IEEE, New York.
  6. Lei, Y. and Zheng, Z.P. (2013), "Review of physical based monitoring techniques for condition assessment of corrosion in reinforced concrete", Math. Probl. Eng., Article ID 953930, 14 pages, http://dx.doi.org/10.1155/2013 /953930.
  7. Meo, M. and Zumpano, G. (2005), "On the optimal sensor layout techniques for a bridge structure", Eng. Struct., 27(10), 1488-1497. https://doi.org/10.1016/j.engstruct.2005.03.015
  8. Papadopoulos, M. and Garcia, E. (1998), "Sensor layout methodologies for dynamic testing", AIAA J., 36(2), 256-263. https://doi.org/10.2514/2.7509
  9. Shen, S., Wu, S.Z., Yang, C.Q., Wan, C.F., Tang, Y.S. and Wu, G. (2010), "An improved conjugated beam method for deformation monitoring with a distributed sensitive fiber optic sensor", Struct. Health Monit., 9(4), 361-378. https://doi.org/10.1177/1475921710361326
  10. Worden, K. and Burrows, A.P. (2001), "Optimal sensor layout for fault detection", Eng. Struct., 23(8), 885-901. https://doi.org/10.1016/S0141-0296(00)00118-8
  11. Yau, M.H., Chan, T.H.T., Thambiratnam, D.P. and Tam, H.Y. (2013), "Static vertical displacement measurement of bridges using Fiber Bragg Grating (FBG) sensors", Adv. Struct. Eng., 16(1), 165-176. https://doi.org/10.1260/1369-4332.16.1.165
  12. Yi, T.H., Li, H.N. and Wang X. (2013), "Multi-dimensional sensor layout optimization for Canton Tower focusing on application demands", Smart Struct. Syst., 12(3-4), 235-250. https://doi.org/10.12989/sss.2013.12.3_4.235
  13. Yi, T.H., Li, H.N. and Zhang, X.D. (2015), "Health monitoring sensor layout optimization for Canton Tower using immune monkey algorithm", Struct. Control Health, 22(1), 123-138. https://doi.org/10.1002/stc.1664
  14. Yung, B.L., Chang, K.C., Chern, J.C. and Wang, L.A. (2004), "The health monitoring of a prestressed concrete beam by using fiber Bragg grating sensors", Smart Mater. Struct., 13(4), 712-718. https://doi.org/10.1088/0964-1726/13/4/008
  15. Zhang, J., Hong, W., Tang, Y.S., Yang, C.Q., Wu, G. and Wu, Z.S. (2013), "Structural health monitoring of a steel stringer bridge with area sensing", Structural and Infrastructural Engineering: Maintenance, Management, Life-Cycle Design and Performance, DOI: 10.1080/15732479.2013.787103
  16. Zhang, Q.Q., Zhang, J. and Wu, Z.S. (2015), "Deflection identification of the tied arch bridge from long-gauge strain", Proceedings of the 7th International Society for Structural Health Monitoring of Intelligent Infrastructure, July 1-3,Torino, Italy.
  17. Zheng, Z., Lei, Y. and Sun, X. (2010), "Measuring corrosion of steels in concrete via fiber Bragg grating sensors-lab experimental test and in-field application", Proceedings of the Earth and Space Conference, Honolulu, Hawaii, USA.

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