DOI QR코드

DOI QR Code

On-line integration of structural identification/damage detection and structural reliability evaluation of stochastic building structures

  • Lei, Ying (School of Architecture and Civil Engineering, Xiamen University) ;
  • Wang, Longfei (School of Architecture and Civil Engineering, Xiamen University) ;
  • Lu, Lanxin (School of Architecture and Civil Engineering, Xiamen University) ;
  • Xia, Dandan (School of Civil & Architecture Engineering, Xiamen University of Technology)
  • 투고 : 2017.04.05
  • 심사 : 2017.06.16
  • 발행 : 2017.09.25

초록

Recently, some integrated structural identification/damage detection and reliability evaluation of structures with uncertainties have been proposed. However, these techniques are applicable for off-line synthesis of structural identification and reliability evaluation. In this paper, based on the recursive formulation of the extended Kalman filter, an on-line integration of structural identification/damage detection and reliability evaluation of stochastic building structures is investigated. Structural limit state is expanded by the Taylor series in terms of uncertain variables to obtain the probability density function (PDF). Both structural component reliability with only one limit state function and system reliability with multi-limit state functions are studied. Then, it is extended to adopt the recent extended Kalman filter with unknown input (EKF-UI) proposed by the authors for on-line integration of structural identification/damage detection and structural reliability evaluation of stochastic building structures subject to unknown excitations. Numerical examples are used to demonstrate the proposed method. The evaluated results of structural component reliability and structural system reliability are compared with those by the Monte Carlo simulation to validate the performances of the proposed method.

키워드

과제정보

연구 과제 주관 기관 : Natural Science Foundation of China (NSFC), Shanghai Municipal science and Technology Committee

참고문헌

  1. Chen, B., Xu, Y.L. and Zhao, X. (2010), "Integrated vibration control and health monitoring of building structures: a time-domain approach", Smart Struct. Syst., 6, 811-833. https://doi.org/10.12989/sss.2010.6.7.811
  2. Doebling, S.W., Farrar, C.R. and Prime, M.B. (1998), "A summary review of vibration-based damage identification methods", Shock Vib. Dig., 30(2), 91-105. https://doi.org/10.1177/058310249803000201
  3. Fan, W. and Qiao, P.Z. (2011), "Vibration-based damage identification methods: A review and comparative study", Struct. Hlth. Monit., 10, 83-111. https://doi.org/10.1177/1475921710365419
  4. Frangopol, D.M., Strauss, A. and Kim, S.Y. (2008). "Bridge reliability assessment based on monitoring", J. Bridge Eng., ASCE, 13(3), 258-270. https://doi.org/10.1061/(ASCE)1084-0702(2008)13:3(258)
  5. He, J., Huang, Q. and Xu, Y.L. (2014), "Synthesis of vibration control and health monitoring of building structures under unknown excitation", Smart Mater. Struct., 23,105025. https://doi.org/10.1088/0964-1726/23/10/105025
  6. Hoshiya, M. and Saito, E. (1984), "Structural identification by extended Kalman filter", J. Eng. Mech., ASCE, 110(12), 1757-1771. https://doi.org/10.1061/(ASCE)0733-9399(1984)110:12(1757)
  7. Hosser, D., Klinzmann, C. and Schnetgoke, R.A. (2008), "Framework for reliability-based system assessment based on structural health monitoring", Struct. Infrastr. Eng., 4(4), 271-285. https://doi.org/10.1080/00268970600740790
  8. Lei, Y., Chen, F. and Zhou, H. (2012a), "An algorithm based on two-step Kalman filter for intelligent structural damage detection", Struct. Control Hlth. Monit., 22(4), 694-706.
  9. Lei, Y., Hua, W., Luo, S.J. and He, M.Y. (2015), "Detection and parametric identification of structural nonlinear restoring forces from partial measurements of structural responses", Struct. Eng. Mech., 54(2), 291-304. https://doi.org/10.12989/sem.2015.54.2.291
  10. Lei, Y., Jiang, Y.Q. and Xu, Z.Q. (2012b), "Structural damage detection with limited input and output measurement signals", Mech. Syst. Signal Pr., 28, 229-243. https://doi.org/10.1016/j.ymssp.2011.07.026
  11. Lei, Y., Liu, C. and Liu, L.J. (2014) "Identification of multistory shear buildings under unknown earthquake excitation using partial output measurements: numerical and experimental studies", Struct. Control Hlth. Monit., 21, 774-783.
  12. Lei, Y., Zhou, H. and Liu, L.J. (2014), "An on-line integration technique for structural damage detection and active optimal vibration control", Int. J. Struct. Stab. Dyn., 14(5), 1440003. https://doi.org/10.1142/S0219455414400033
  13. Li, J. and Chen, J.B. (2004), "Probability density evolution method for dynamic response analysis of structures with uncertain parameters", Comput. Mech., 34, 400-409. https://doi.org/10.1007/s00466-004-0583-8
  14. Li, X.Y. and Law, S.S. (2008), "Damage identification of structures including system uncertainties and measurement noise", AIAA J., 46(46), 263-276. https://doi.org/10.2514/1.32263
  15. Li, Y. and Chen, Y. (2013), "A review on recent development of vibration-based structural robust damage detection", Struct. Eng. Mech., 45(2), 159-168. https://doi.org/10.12989/sem.2013.45.2.159
  16. Liu, L.J., Su, Y., Zhu, J.J. and Lei, Y. (2016) "Data fusion based EKF-UI for real-time simultaneous identification of structural systems and unknown external inputs", Measur., 88, 456-467
  17. Ou, J.P. and Li, H. (2010), "Structural health monitoring in mainland China: Review and future trends", Struct. Hlth. Monit., 9, 219-231. https://doi.org/10.1177/1475921710365269
  18. Sun, H. and Betti, R. (2014), "Simultaneous identification of structural parameter sand dynamic input with incomplete output-only measurements", Struct. Control Hlth. Monit., 21, 868-889. https://doi.org/10.1002/stc.1619
  19. Wong, F.S. and Yao, J.T.P. (2001), "Health monitoring and structural reliability as a value chain", Comput. Aid. Civil Infrastr. Eng., 16, 71-78. https://doi.org/10.1111/0885-9507.00214
  20. Xu, Y.L., Zhang, J., Li, J.C. and Xia, Y. (2009), "Experimental investigation on statistical moment-based structural damage detection method", Struct. Hlth. Monit., 8(6), 555-571. https://doi.org/10.1177/1475921709341011
  21. Yang, J.N., Lin, S.L., Huang, H.W. and Zhou, L. (2006), "An Adaptive Extended Kalman Filter for Structural Damage Identification", Struct. Control Hlth. Monit., 13(4), 849-867. https://doi.org/10.1002/stc.84
  22. Yang, J.N., Pan, S. and Huang, H.W. (2007) "An adaptive extended Kalman filter for structural damage identification II: unknown inputs", Struct. Control Hlth. Monit., 14, 497-521. https://doi.org/10.1002/stc.171
  23. Yao, J.T.P. and Natke, H.G. (1994) "Damage detection and reliability evaluation of existing structures", Struct. Saf., 15, 3-16. https://doi.org/10.1016/0167-4730(94)90049-3
  24. Zhang, J., Xu, Y.L. and Li, J. (2011) "Integrated system identification and reliability evaluation of stochastic building structures", Probab. Eng. Mech., 26, 528-538. https://doi.org/10.1016/j.probengmech.2011.04.002
  25. Zhang, J., Xu, Y.L., Xia, Y. and Li, J. (2008) "A new statistical moment-based structural damage detection method", Struct. Eng. Mech., 30(4), 445-466. https://doi.org/10.12989/sem.2008.30.4.445