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


  1. [1] X.G. Li, J.T. Zhou, L.Y. Zhang, et al., Automatic monitoringof continuous rigid frame bridges by a magneto-elastic effectmethod, International Journal of Robotics and Automation,32 (1), 2017, 41–47.
  2. [2] J. Yang, J. Cheng, J.L. Wang, et al., Automatic deformationmonitoring for large span bridge based on multi-constellationBDS and GPS system, International Journal of Robotics andAutomation, 33 (5), 2018, 534–541.
  3. [3] J.Z. Xin, J.T. Zhou, S.X. Yang, et al., Bridge structuredeformation prediction based on GNSS data using Kalman-ARIMA-GARCH model, Sensors (Basel), 18(1), 2018, 298.
  4. [4] Z.H. Zong, J. Niu, and H. Wang, A review of structuraldamage identification methods based on the finite elementmodel validation, China Civil Engineering Journal, 45(8),2012, 121–130.
  5. [5] C. Yang, X.B. Hou, L. Wang, et al., Applications of differentcriteria in structural damage identification based on naturalfrequency and static displacement, Science China TechnologicalSciences, 59(11), 2016, 1746.
  6. [6] G. Li, R. Zhang, Y. Li, et al., Damage identification ofbend-type structure based on modal flexibility-curvature anddifference, Journal of Vibration Measurement and Diagnosis,33(5), 2013, 902–906.
  7. [7] A. Kaveh and A. Zolghadr, Guided modal strain energy-basedapproach for structural damage identification using tug-of-war optimization algorithm, Journal of Computing in CivilEngineering, 31(4), 2017, 04017016.
  8. [8] B. Moaveni, X.F. He, J.P. Conte, et al., Damage identificationof a composite beam using finite element model updating,Computer-Aided Civil and Infrastructure Engineering, 23(5),2008, 339–359.
  9. [9] R.V. Farahani and D. Penumadu, Damage identification ofa full-scale five-girder bridge using time-series analysis ofvibration data, Engineering Structures, 115, 2016, 129–139.
  10. [10] J. Grabowska, M. Palacz, and M. Krawczuk, Damage identification by wavelet analysis, Mechanical Systems and SignalProcessing, 22(7), 2008, 1623–1635.
  11. [11] A. Kunwar, R. Jha, M. Whelan, et al., Damage detection in anexperimental bridge model using Hilbert–Huang transform oftransient vibrations, Structural Control and Health Monitoring,20(1), 2013, 1–15.
  12. [12] U. Dackermann, J.C. Li, and B.J. Samali, Dynamic-baseddamage identification using neural network ensembles anddamage index method, Advances in Structural Engineering,13(13), 2010, 1001–1016.
  13. [13] H. Ebrahimian, R. Astroza, J.P. Conte, et al., Nonlinearfinite element model updating for damage identification ofcivil structures using batch Bayesian estimation, MechanicalSystems and Signal Processing, 84, 2016, 194–222.
  14. [14] B. Moaveni, J.P. Conte, and F.M. Hemez, Uncertainty andsensitivity analysis of damage identification results obtainedusing finite element model updating, Computer-Aided Civiland Infrastructure Engineering, 24(5), 2009, 320–334.
  15. [15] K.K. Nair, A.S. Kiremidjian, and K.H. Law, Time series-baseddamage detection and localization algorithm with applicationto the ASCE benchmark structure, Journal of Sound andVibration, 291, 2006, 349–368.
  16. [16] O. Begambre and J.E. Laier, A hybrid particle swarm optimization – simplex algorithm (PSOS) for structural damageidentification, Advances in Engineering Software, 40(9), 2009,883–891.
  17. [17] O. Abdeljaber, O. Avci, S. Kiranyaz, et al., Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks. Journal of Sound and Vibration,388, 2017, 154–170.
  18. [18] F. Shabbir and P. Omenzetter, Model updating using genetic algorithms with sequential niche technique, EngineeringStructures, 120, 2016, 66–182.
  19. [19] H. Sun, H. Lus, and R. Betti, Identification of structural modelsusing a modified artificial Bee Colony algorithm, Computersand Structures, 116, 2013, 59–74.
  20. [20] H.J. Xu, J.K. Liu, and Z.R. Lu, Structural damage identification based on cuckoo search algorithm, Advances in StructuralEngineering, 19(5), 2016, 849–859
  21. [21] R.Q. Zhao and W.S. Tang, Monkey algorithm for globalnumerical optimization, Journal of Uncertain Systems, 2, 2008,165–176.
  22. [22] T.H. Yi, H.N. Li, G. Song, et al., Optimal sensor placement forhealth monitoring of high-rise structure using adaptive monkeyalgorithm, Structural Control and Health Monitoring, 22(4),2015, 667–681.
  23. [23] C.M. Ituarte-Villarreal, N. Lopez, and J.F. Espiritu, Usingthe monkey algorithm for hybrid power systems optimization,Procedia Computer Science, 12, 2012, 344–349.
  24. [24] J.R. Wang, Y.X. Yu, Y. Zeng, et al., Discrete monkey algorithmand its application in transmission 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 Journalof Control and Automation, 9(1), 2016, 423–434.
  26. [26] L.T. Stutz, I.C.S.S. Rangel, L.S. Rangel, et al., D.C. Knuppastructural damage identification built on a response surfacemodel and the flexibility matrix, Journal of Sound and Vibration, 434, 2018, 284–297.
  27. [27] X. Li, X.B. Li, and Y.H. Su, A hybrid approach combininguniform design and support vector machine to probabilistictunnel stability assessment, Structural Safety, 61, 2016, 22–42.

Important Links:

Go Back