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A two-stage damage detection method for truss structures using a modal residual vector based indicator and differential evolution algorithm
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  • Journal title : Smart Structures and Systems
  • Volume 17, Issue 2,  2016, pp.347-361
  • Publisher : Techno-Press
  • DOI : 10.12989/sss.2016.17.2.347
 Title & Authors
A two-stage damage detection method for truss structures using a modal residual vector based indicator and differential evolution algorithm
Seyedpoor, Seyed Mohammad; Montazer, Maryam;
 Abstract
A two-stage method for damage detection in truss systems is proposed. In the first stage, a modal residual vector based indicator (MRVBI) is introduced to locate the potentially damaged elements and reduce the damage variables of a truss structure. Then, in the second stage, a differential evolution (DE) based optimization method is implemented to find the actual site and extent of damage in the structure. In order to assess the efficiency of the proposed damage detection method, two numerical examples including a 2D-truss and 3D-truss are considered. Simulation results reveal the high performance of the method for accurately identifying the damage location and severity of trusses with considering the measurement noise.
 Keywords
damage detection;truss structure;modal residual vector;damage indicator;differential evolution;
 Language
English
 Cited by
 References
1.
Au, F.T.K., Cheng, Y.S., Tham, L.G. and Bai, Z.Z. (2003), "Structural damage detection based on a micro-genetic algorithm using incomplete and noisy modal data", J. Sound Vib., 259(5), 1081-1094. crossref(new window)

2.
Bakhtiari-Nejad, F., Rahai, A. and Esfandiari, A. (2005), "A structural damage detection method using static noisy data", Eng. Struct., 27(12), 1784-1793. crossref(new window)

3.
Begambre, O. and Laier, J.E. (2009), "A hybrid Particle Swarm Optimization-Simplex algorithm (PSOS) for structural damage identification", Adv. Eng. Softw., 40(9), 883-891. crossref(new window)

4.
Fallahian, S. and Seyedpoor, S.M. (2010), "A two stage method for structural damage identification using an adaptive neuro-fuzzy inference system and particle swarm optimization", Asian J. Civil Eng., 11(6), 797-810.

5.
Friswell, M.I., Penny, J.E.T. and Garvey, S.D. (1998), "A combined genetic and eigensensitivity algorithm for the location of damage in structures", Comput. Struct., 69(5), 547-556. crossref(new window)

6.
Gholizadeh, S. and Barati, H. (2014), "Topology optimization of nonlinear single layer domes by a new metaheuristic", Steel Compos. Struct., 16(6), 681-701. crossref(new window)

7.
Guo, H.Y. and Li, Z.L. (2009), "A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm", J. Mech. Syst. Signal Pr., 23(3), 769-782. crossref(new window)

8.
He, R.S. and Hwang, S.F. (2007), "Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis", Eng. Appl. Artif. Intel., 20(7), 980-992. crossref(new window)

9.
Koh, B.H. and Dyke, S.J. (2007), "Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data", Comput. Struct., 85(3-4), 117-130. crossref(new window)

10.
Lu, X.B., Liu, J.K. and Lu, Z.R. (2013), "A two-step approach for crack identification in beam", J. Sound Vib., 332(2), 282-293. crossref(new window)

11.
Miguel, L.F.F., Lopez, R.H. and Miguel, L.F.F. (2013), "A hybrid approach for damage detection of structures under operational conditions", J. Sound Vib., 332(18), 4241-4260. crossref(new window)

12.
Mares, C. and Surace, C. (1996), "An application of genetic algorithms to identify damage in elastic structures", J. Sound Vib., 195(2),195-215. crossref(new window)

13.
Messina, A., Williams, E.J. and Contursi, T. (1998), "Structural damage detection by a sensitivity and statistical-based method", J. Sound Vib., 216(5), 791-808. crossref(new window)

14.
Nobahari, M. and Seyedpoor, S.M. (2011), "Structural damage detection using an efficient correlation based index and a modified genetic algorithm", Math. Comput. Modell., 53(9-10), 1798-1809. crossref(new window)

15.
Nouri Shirazi, M.R., Mollamahmoudi, H. and Seyedpoor, S.M. (2014), "Structural damage identification using an adaptive multi-stage optimization method based on a modified particle swarm algorithm", J. Optimiz. Theory Appl., 160(3), 1009-1019. crossref(new window)

16.
Rao, A.R.M., Lakshmi, K. and Venkatachalam, D. (2012), "Damage diagnostic technique for structural health monitoring using POD and self-adaptive differential evolution algorithm", Comput. Struct., 106-107, 228-244. crossref(new window)

17.
Seyedpoor, S.M. (2012), "A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization", Int. J. Non-Linear Mechanics 47(1), 1-8.

18.
Seyedpoor, S.M. (2011), "Structural damage detection using a multi-stage particle swarm optimization", Adv. Struct. Eng., 14(3), 533-549. crossref(new window)

19.
Seyedpoor, S.M., Shahbandeh, S. and Yazdanpanah, O. (2015), "An efficient method for structural damage detection using a differential evolution algorithm based optimization approach", Civil Eng. Environ. Syst., 32(3), 230-250. crossref(new window)

20.
Storn, R. and Price, K. (1997), "Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces", J. Global Optim., 11(4), 341-359. crossref(new window)

21.
Vakil Baghmisheh, M.T., Peimani, M., Homayoun Sadeghi, M., Ettefagh, M.M. and Fakheri Tabrizi, A. (2012), "A hybrid particle swarm-Nelder-Mead optimization method for crack detection in cantilever beams", Appl. Soft Comput., 12(8), 2217-2226. crossref(new window)

22.
Wang, X., Hu, N., Fukunaga, H. and Yao, Z.H. (2001), "Structural damage identification using static test data and changes in frequencies", Eng. Struct., 23(6), 610-621. crossref(new window)

23.
Wang, D., Xiang, W. and Zhu, H. (2014), "Damage identification in beam type structures based on statistical moment using a two step method", J. Sound Vib., 333(3), 745-760. crossref(new window)

24.
Xiang, J. and Liang,M. (2012a), "Wavelet-based detection of beam cracks using modal shape and frequency measurements", Comput.-Aided Civil Infrastruct. E., 27(6), 439-454. crossref(new window)

25.
Xiang, J. and Liang, M. (2012b), "A two-step approach to multi-damage detection for plate structures", Eng. Fract. Mech., 91, 73-86. crossref(new window)

26.
Xiang, J., Matsumoto, T., Wang, Y. and Jiang, Z. (2013), "Detect damages in conical shells using curvature mode shape and wavelet finite element method", Int. J. Mech. Sci., 66, 83-93. crossref(new window)

27.
Xiang, J., Matsumoto, T., Long, J., Wang, Y. and Jiang, Z. (2012), "A simple method to detect cracks in beam-like structures", Smart Struct. Syst., 9(4), 335-353. crossref(new window)

28.
Xiang, J., Nackenhorst, U., Wang, Y., Jiang, Y., Gao, H. and He, Y. (2014), "A new method to detect cracks in plate-like structures with though-thickness cracks", Smart Struct. Syst., 14(3), 397-418. crossref(new window)

29.
Zare Hosseinzadeh, A., Bagheri, A. and Ghodrati Amiri, G. (2013), "Two-stage method for damage localization and quantification in high-rise shear frames based on the first mode shape slope", Int. J. Optimiz. Civil Eng., 3(4), 653-672.

30.
Guidelines for Structural Health Monitoring, Design Manual No. 2, Appendix C, September 2001.