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Enhanced optimization-based structural damage detection method using modal strain energy and modal frequencies

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Abstract

To identify the location and severity of structural damages precisely, a two-stage damage detection method is proposed here. In the first stage, the most probable elements that maybe damaged are determined using the modal strain energy concept of structure. For such purpose, an efficient modal strain energy conversion-based index is proposed. In the second stage, the structural damage identification problem is defined as an optimization problem that to be solved by a modified genetic algorithm. In the optimization problem, the damage extents of structure’s elements which are determined in the previous stage are considered as the variables. An efficient objective function considering the first few modal frequencies of the structure, before and after damage occurrence, is utilized for optimization. The robustness of the proposed method is assessed by several benchmark examples. The numerical results exhibit the effectiveness of the proposed method for precisely determining the location and severity of multiple structural damages.

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References

  1. Messina A, Williams EJ, Contursi T (1998) Structural damage detection by a sensitivity and statistical-based method. J Sound Vib 216:791–808

    Article  Google Scholar 

  2. Zang C, Imregun M (2001) Structural damage detection using artificial neural networks and measured FRF data reduced via principal component projection. J Sound Vib 242:813–827

    Article  MATH  Google Scholar 

  3. Fang X, Luo H, Tang J (2005) Structural damage detection using neural network with learning rate improvement. Comput Struct 83:2150–2161

    Article  Google Scholar 

  4. Yan YJ, Cheng L, Wu ZY, Yam LH (2007) Development in vibration-based structural damage detection technique. Mech Syst Signal Process 21:2198–2211

    Article  Google Scholar 

  5. Nobahari M, Seyedpoor SM (2013) An efficient method for structural damage localization based on the concepts of flexibility matrix and strain energy of a structure. Struct Eng Mech 46:231–244

    Article  Google Scholar 

  6. Shih HW, Thambiratnam DP, Chan TH (2009) Vibration based structural damage detection in flexural members using multi-criteria approach. J Sound Vib 323:645–661

    Article  Google Scholar 

  7. Fan W, Qiao P (2011) Vibration-based damage identification methods: a review and comparative study. Struct Health Monit 10:83–111

    Article  Google Scholar 

  8. Nobahari M, Seyedpoor SM (2011) Structural damage detection using an efficient correlation-based index and a modified genetic algorithm. Math Comput Model 53:1798–1809

    Article  MATH  Google Scholar 

  9. Kang F, Li JJ, Xu Q (2012) Damage detection based on improved particle swarm optimization using vibration data. Appl Soft Comput 12:2329–2335

    Article  Google Scholar 

  10. Nicknam A, Hosseini MH (2012) Structural damage localization and evaluation based on modal data via a new evolutionary algorithm. Arch Appl Mech 82:191–203

    Article  MATH  Google Scholar 

  11. Jeong M, Choi JH, Koh BH (2013) Performance evaluation of modified genetic and swarm-based optimization algorithms in damage identification problem. Struct Control Health Monit 20:878–889

    Article  Google Scholar 

  12. Yun GJ, Ogorzalek KA, Dyke SJ, Song W (2009) A two-stage damage detection approach based on subset selection and genetic algorithms. Smart Struct Syst 5:1–21

    Article  Google Scholar 

  13. Guo HY, Li ZL (2009) A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm. Mech Syst Signal Process 23:769–782

    Article  Google Scholar 

  14. Jiang SF, Zhang CM, Zhang S (2011) Two-stage structural damage detection using fuzzy neural networks and data fusion techniques. Expert Syst Appl 38:511–519

    Article  Google Scholar 

  15. Xiang J, Liang M (2012) A two-step approach to multi-damage detection for plate structures. Eng Fract Mech 91:73–86

    Article  Google Scholar 

  16. Shi ZY, Law SS, Zhang LM (1998) Structural damage localization from modal strain energy change. J Sound Vib 218:825–844

    Article  Google Scholar 

  17. Hsu TY, Loh CH (2008) Damage diagnosis of frame structures using modified modal strain energy change method. J Eng Mech 134:1000–1012

    Article  Google Scholar 

  18. Hu H, Wu C (2009) Development of scanning damage index for the damage detection of plate structures using modal strain energy method. Mech Syst Signal Process 23:274–287

    Article  Google Scholar 

  19. Srinivas V, Ramanjaneyulu K, Jeyasehar CA (2011) Multi-stage approach for structural damage identification using modal strain energy and evolutionary optimization techniques. Struct Health Monit 10:219–230

    Article  Google Scholar 

  20. Seyedpoor SM (2012) A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization. Int J Non Linear Mech 47:1–8

    Article  Google Scholar 

  21. Nobahari M, Ghasemi MR, Shabakhty N (2017) A novel heuristic search algorithm for optimization with application to structural damage identification. Smart Struct Syst 19:449–461

    Article  Google Scholar 

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Ghasemi, M.R., Nobahari, M. & Shabakhty, N. Enhanced optimization-based structural damage detection method using modal strain energy and modal frequencies. Engineering with Computers 34, 637–647 (2018). https://doi.org/10.1007/s00366-017-0563-5

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  • DOI: https://doi.org/10.1007/s00366-017-0563-5

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