Modal parameter based inverse approach for structural joint damage assessment using unified particle swarm optimization

Applied Mathematics and Computation

Volumn 242, Issue , 2014, Pages 407-422

  Nanda, Bharadwaj ^a   Maity, Damodar ^a   Maiti, Dipak K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Finite element technique; Inverse problem; Joint damage assessment; Modal data; Natural frequency; Unified particle swarm optimization

Indexed keywords

DAMAGE DETECTION; INVERSE PROBLEMS; MODAL ANALYSIS; NATURAL FREQUENCIES; PARTICLE SWARM OPTIMIZATION (PSO); STRUCTURAL FRAMES; THERMOELECTRICITY;

BEAM-TO-COLUMN CONNECTIONS; FINITE ELEMENT TECHNIQUES; JOINT DAMAGES; LARGE SCALE STRUCTURES; MODAL DATA; NUMERICAL AND EXPERIMENTAL STUDY; UNIFIED PARTICLE SWARM OPTIMIZATION; VIBRATION-BASED DAMAGE;

NUMERICAL METHODS;

EID: 84903202350     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2014.05.115     Document Type: Article

References (31)

1. S.W. Doebling, C.R. Farrar, and M.B. Prime A summery review of vibration based damage identification methods Shock Vib. Digest 30 2 1998 91 105 (Pubitemid 128625844)
2. W. Fan, and P. Qiao Vibration-based damage identification methods: a review and comparative study Struct. Health Monit. 10 1 2011 83 111
3. J. Lee Identification of multiple cracks in a beam using natural frequencies J. Sound Vib. 320 3 2009 482 490
4. L. Yu, and T. Yin Damage identification in frame structures based on FE model updating J. Vib. Acoust. 132 5 2010 051007
5. R.R. Tripathy, and D. Maity Damage assessment of structures from changes in curvature damage factor using artificial neural network Indian J. Eng. Mater. Sci. 11 2004 369 377 (Pubitemid 40360022)
6. V. Vallabhaneni, and D. Maity Application of radial basis neural network on damage assessment of structures Proc. Eng. 14 2011 3104 3110
7. N. Bakhary, H. Hao, and A. Deeks Structure damage detection using neural network with multi-stage substructuring Adv. Struct. Eng. 13 1 2010 95 110
8. Z.X. Li, and X.-M. Yang Damage identification for beams using ANN based on statistical property of structural responses Comput. Struct. 86 1 2008 64 71 (Pubitemid 350251551)
9. D. Maity, and R.R. Tripathy Damage assessment of structures from changes in natural frequencies using genetic algorithm Struct. Eng. Mech. 19 2005 21 42
10. R. Perera, A. Ruiz, and C. Manzano Performance assessment of multicriteria damage identification genetic algorithms Comput. Struct. 87 1 2009 120 127
11. C. Na, S.P. Kim, and H.G. Kwak Structural damage evaluation using genetic algorithm J. Sound Vib. 330 12 2011 2772 2783
12. M. Nobahari, and S.M. Seyedpoor Structural damage detection using an efficient correlation-based index and a modified genetic algorithm Math. Comput. Model. 53 9 2011 1798 1809
13. A. Majumdar, A. De, D. Maity, and D.K. Maiti Damage assessment of beams from changes in natural frequencies using ant colony optimization Struct. Eng. Mech. 45 3 2013 391 410
14. A. Majumdar, D.K. Maiti, and D. Maity Damage assessment of truss structures from changes in natural frequencies using ant colony optimization Appl. Math. Comput. 218 19 2012 9759 9772
15. L. Yu, and P. Xu Structural health monitoring based on continuous ACO method Microelectron. Reliab. 51 2 2011 270 278
16. S. Moradi, P. Razi, and L. Fatahi On the application of bees algorithm to the problem of crack detection of beam-type structures Comput. Struct. 89 23 2011 2169 2175
17. B. Nanda, D. Maity, and D.K. Maiti Vibration based structural damage detection technique using particle swarm optimization with incremental swarm size Int. J. Aeronautical Space Sci. 13 3 2012 323 331
18. F. Kang, J. Li, and Q. Xu Damage detection based on improved particle swarm optimization using vibration data Appl. Soft Comput. 12 8 2012 2329 2335
19. S.M. Seyedpoor A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization Int. J. Nonlinear Mech. 47 1 2012 1 8
20. Y. Ren, and C.F. Beards Identification of joint properties of a structure using FRF data J. Sound Vib. 186 4 1995 567 587
21. C.B. Yun, J.H. Yi, and E.Y. Bahng Joint damage assessment of framed structures using a neural networks technique Eng. Struct. 23 5 2001 425 435 (Pubitemid 32195522)
22. J.H. Yi, C.B. Yun, and M.Q. Feng Model updating and joint damage assessment for steel frame structures using structural identification techniques Int. J. Steel Struct. 3 2 2003 83 94
23. M.N. Mehrjoo, H.M. Khaji, and A. Bahreininejad Damage detection of truss bridge joints using artificial neural networks Expert Syst. Appl. 35 3 2008 1122 1131
24. R. Machavaram, and K. Shankar Joint damage identification using improved radial basis function (IRBF) networks in frequency and time domain Appl. Soft Comput. 13 7 2013 3366 3379
25. J. Kennedy, and R. Eberhart Particle swarm optimization Proc. IEEE Int. Conf. Neural Networks 4 1995
26. K.E. Parsopoulos, and M.N. Vrahatis Parameter selection and adaptation in unified particle swarm optimization Math. Comput. Model. 46 1 2007 198 213 (Pubitemid 46660521)
27. K.E. Parsopoulos, and M.N. Vrahatis Particle Swarm Optimization and Intelligence: Advances and Applications 2010 IGI global New York pp. 1-318
28. Eurocode 3, Design of steel structures, Part 1-8: design of joints, (BS EN 1993-I-8: 2003), 2003.
29. H. Katkhuda, H. Dwairi, and N. Shatarat System identification of steel framed structures with semi-rigid connections Struct. Eng. Mech. 34 3 2010 351 366
30. M.S. Filho, M.J.R. Guimarães, C.L. Sahlit, and J.L.V. Brito Wind pressures in framed structures with semi-rigid connections J. Braz. Soc. Mech. Sci. Eng. 26 2 2004 174 179
31. C.B. Yun, and E.Y. Bahng Substructural identification using neural networks Comput. Struct. 77 1 2000 41 52