Jingzhou Xin, Hong Zhang, Jianting Zhou, Xiaogang Li, Hu Ma


  1. [1] X.G. Li, J.T. Zhou, L.Y. Zhang, et al., Automatic monitoring of continuous rigid frame bridgesby a magneto-elastic effect method, International Journal of Robotics &Automation, 32(1), 2017,41–47.
  2. [2] J. Yang, J. Cheng, J.L. Wang, et al., Automatic deformation monitoring for large span bridgebased on multi-constellation BDS and GPS system, International Journal of Robotics &Automation,33(5), 2018, 534–541.
  3. [3] J.Z. Xin, J.T. Zhou, S.X. Yang, et al., Bridge structure deformation prediction based on GNSSdata using Kalman-ARIMA-GARCH model, Sensors, 18(1), 2018, 298.
  4. [4] Z.H. Zong, J. Niu, H. Wang. A review of structural damage identification methods based on thefinite element model validation, China Civil Engineering Journal, 45(8), 2012, 121-130.
  5. [5] C. Yang, X.B. Hou, L. Wang, et al. Applications of different criteria in structural damageidentification based on natural frequency and static displacement, Science China TechnologicalSciences, 59(11) 2016, 1746.
  6. [6] G. Li, R. Zhang, Y. Li, et al., Damage identification of bend-type structure based on modalflexibility-curvature and difference, Journal of Vibration Measurement & Diagnosis, 33(5), 2013,902-906.
  7. [7] A. Kaveh, A. Zolghadr, Guided modal strain energy-based approach for structural damageidentification using tug-of-war optimization algorithm, Journal of Computing in Civil Engineering,31(4), 2017, 04017016.
  8. [8] B. Moaveni, X.F. He, J.P. Conte, et al., Damage identification of a composite beam using finiteelement model updating, Computer‐aided Civil & Infrastructure Engineering, 23(5), 2008,339–359.
  9. [9] R.V. Farahani, D. Penumadu, Damage identification of a full-scale five-girder bridge usingtime-series analysis of vibration data, Engineering Structures, 115, 2016, 129-139.
  10. [10] J. Grabowska, M. Palacz, M. Krawczuk, Damage identification by wavelet analysis,Mechanical Systems & Signal Processing, 22(7), 2008, 1623-1635.
  11. [11] A. Kunwar, R. Jha, M. Whelan, et al., Damage detection in an experimental bridge model usingHilbert–Huang transform of transient vibrations, Structural Control & Health Monitoring, 20(1),2013, 1-15.
  12. [12] U. Dackermann, J.C. Li, B.J. Samali, Dynamic-based damage identification using neuralnetwork ensembles and damage index method, Advances in Structural Engineering, 13(13), 2010,1001-1016.
  13. [13] H. Ebrahimian, R. Astroza, J.P. Conte, et al., Nonlinear finite element model updating fordamage identification of civil structures using batch Bayesian estimation, Mechanical Systems &Signal Processing, 84, 2016, 194-222.
  14. [14] B. Moaveni, J.P. Conte, F.M. Hemez, Uncertainty and sensitivity analysis of damageidentification results obtained using finite element model updating, Computer‐Aided Civil andInfrastructure Engineering, 24(5), 2009, 320–334.
  15. [15] K.K. Nair, A.S. Kiremidjian, and K.H. Law, Time series-based damage detection andlocalization algorithm with application to the ASCE benchmark structure, Journal of Sound &Vibration, 291, 2006, 349-368.
  16. [16] O. Begambre, J.E. Laier, A hybrid Particle Swarm Optimization - Simplex algorithm (PSOS)for structural damage identification, Advances in Engineering Software, 40(9), 2009, 883-891.
  17. [17] O. Abdeljaber, O. Avci, S. Kiranyaz, et al., Real-time vibration-based structural damagedetection using one-dimensional convolutional neural networks. Journal of Sound and Vibration,388, 2017, 154–170.
  18. [18] F. Shabbir, P. Omenzetter, Model updating using genetic algorithms with sequential nichetechnique, Engineering Structures, 120, 2016, 66-182.
  19. [19] H. Sun, H. Lus, and R. Betti, Identification of structural models using a modified Artificial BeeColony algorithm, Computers & Structures, 116, 2013, 59–74.
  20. [20] H.J. Xu, J.K. Liu and Z.R. Lu, Structural damage identification based on cuckoo searchalgorithm, Advances in Structural Engineering, 19(5), 2016, 849-859
  21. [21] R.Q. Zhao, W.S. Tang, Monkey algorithm for global numerical optimization, Journal ofUncertain Systems, 2, 2008, 165-176.
  22. [22] T.H. Yi, H.N. Li, G. Song, et al., Optimal sensor placement for health monitoring of high-risestructure using adaptive monkey algorithm, Structural Control & Health Monitoring, 22(4), 2015,667–681.
  23. [23] C.M. Ituarte-Villarreal, N. Lopez, J.F. Espiritu, Using the monkey algorithm for hybrid powersystems optimization, Procedia Computer Science, 12, 2012, 344-349.
  24. [24] J.R. Wang, Y.X. Yu, Y. Zeng, et al., Discrete monkey algorithm and its application intransmission network expansion planning, Journal of Tianjin University, 43(9), 2010, 1-5.
  25. [25] Z.R. Peng, H. Yin, A. Pan, et al., Chaotic monkey algorithm based optimal sensor placement,International Journal of Control & Automation, 9(1), 2016, 423-434.
  26. [26] L.T. Stutz, I.C.S.S. Rangel, L.S. Rangel, et al., D.C. Knuppa Structural damage identificationbuilt on a response surface model and the flexibility matrix, Journal of Sound and Vibration 434 (2018)284–297
  27. [27] X. Li, X.B. Li, Y.H. Su., A hybrid approach combining uniform design and support vectormachine to probabilistic tunnel stability assessment, Structural Safety, 61, 2016, 22-42.

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