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Articles

Structural damage detection using improved particle swarm optimizationFootnote

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Pages 792-810 | Received 25 May 2016, Accepted 20 Jun 2017, Published online: 03 Jul 2017

References

  • Doebling SW, Farrar CR, Prime MB. A summary review of vibration-based damage identification methods. Shock Vib Digest. 1998;30(2):91–105.10.1177/058310249803000201
  • Housner GW, Bergman LA, Caughey T, et al. Structural control: past, present, and future. J Eng Mech. 1997;123(9):897–971.10.1061/(ASCE)0733-9399(1997)123:9(897)
  • Zou Y, Tong L, Steven G. Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures – a review. J Sound Vib. 2000;230(2):357–378.10.1006/jsvi.1999.2624
  • Cawley P, Adams R. The location of defects in structures from measurements of natural frequencies. J Strain Anal Eng. 1979;14(2):49–57.10.1243/03093247V142049
  • Narkis Y. Identification of crack location in vibrating simply supported beams. J Sound Vib. 1994;172(4):549–558.10.1006/jsvi.1994.1195
  • Pandey A, Biswas M, Samman M. Damage detection from changes in curvature mode shapes. J Sound Vib. 1991;145(2):321–332.10.1016/0022-460X(91)90595-B
  • Rizos P, Aspragathos N, Dimarogonas A. Identification of crack location and magnitude in a cantilever beam from the vibration modes. J Sound Vib. 1990;138(3):381–388.10.1016/0022-460X(90)90593-O
  • Ratcliffe CP. Damage detection using a modified Laplacian operator on mode shape data. J Sound Vib. 1997;204(3):505–517.10.1006/jsvi.1997.0961
  • Wu D, Law S. Model error correction from truncated modal flexibility sensitivity and generic parameters: Part I – simulation. Mech Syst Signal Pr. 2004;18(6):1381–1399.10.1016/S0888-3270(03)00094-3
  • Chatterjee A. Structural damage assessment in a cantilever beam with a breathing crack using higher order frequency response functions. J Sound Vib. 2010;329(16):3325–3334.10.1016/j.jsv.2010.02.026
  • Lim TW. Structural damage detection using modal test data. AIAAJ. 1991;29(12):2271–2274.
  • Shi ZY, Law SS, Zhang LM. Structural damage localization from modal strain energy change. J Sound Vib. 1998;218(5):825–844.10.1006/jsvi.1998.1878
  • Cattarius J, Inman D. Time domain analysis for damage detection in smart structures. Mech Syst Signal Pr. 1997;11(3):409–423.10.1006/mssp.1996.0086
  • Lu ZR, Law SS. Features of dynamic response sensitivity and its application in damage detection. J Sound Vib. 2007;303(1–2):305–329.10.1016/j.jsv.2007.01.021
  • He ZY, Lu ZR. Time domain identification of multiple cracks in a beam. Struct Eng Mech. 2010;35(6):773–789.10.12989/sem.2010.35.6.773
  • Lu XB, Liu JK, Lu ZR. A two-step approach for crack identification in beam. J Sound Vib. 2013;332(2):282–293.10.1016/j.jsv.2012.08.025
  • Barbieri N, Barbieri R, Silva HAT. A methodology for identification of damage in beams. Inverse Pro Sci Eng. 2016;24(3):482–503.
  • Yin T, Jiang QH, Yuen KV. Vibration-based damage detection for structural connections using incomplete modal data by Bayesian approach and model reduction technique. Eng Struct. 2017;132:260–277.10.1016/j.engstruct.2016.11.035
  • Chang KC, Kim CW. Modal-parameter identification and vibration-based damage detection of a damaged steel truss bridge. Eng Struct. 2016;122:156–173.10.1016/j.engstruct.2016.04.057
  • Zhang WW, Li J, Hao H, et al. Damage detection in bridge structures under moving loads with phase trajectory change of multi-type vibration measurements. Mech Syst Signal Pr. 2017;87:410–425.10.1016/j.ymssp.2016.10.035
  • Hao H, Xia Y. Vibration-based damage detection of structures by genetic algorithm. J Comput Civil Eng. 2002;16(3):222–229.10.1061/(ASCE)0887-3801(2002)16:3(222)
  • Kang F, Li J. Artificial bee colony algorithm optimized support vector regression for system reliability analysis of slopes. J Comput Civil Eng. 2015;30(3):04015040.
  • Kang F, Xu Q, Li J. Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence. Appl Math Model. 2016;40(11–12):6105–6120.10.1016/j.apm.2016.01.050
  • Kang F, Li JS, Li JJ. System reliability analysis of slopes using least squares support vector machines with particle swarm optimization. Neurocomputing. 2016;209:46–56.10.1016/j.neucom.2015.11.122
  • Xu HJ, Ding ZH, Lu ZR, et al. Structural damage detection based on chaotic artificial bee colony algorithm. Struct Eng Mech. 2015;55(6):1223–1239.10.12989/sem.2015.55.6.1223
  • Li S, Lu ZR. Multi-swarm fruit fly optimization algorithm for structural damage identification. Struct Eng Mech. 2015;56(3):409–422.10.12989/sem.2015.56.3.409
  • Ding ZH, Huang M, Lu ZR. Structural damage detection using artificial bee colony algorithm with hybrid search strategy. Swarm Evolution Comput. 2016;28:1–13.10.1016/j.swevo.2015.10.010
  • Xu HJ, Liu JK, Lu ZR. Structural damage identification based on cuckoo search algorithm. Adv Struct Eng. 2016;19(5):849–859.10.1177/1369433216630128
  • Ding ZH, Lu ZR, Liu JK. Improved Artificial Bee Colony Algorithm for crack identification in beam using natural frequencies only. Inverse Probl Sci Eng. 2017;25(2):218–238.10.1080/17415977.2016.1160391
  • Vakil-Baghmisheh M-T, Peimani M, Sadeghi MH, et al. Crack detection in beam-like structures using genetic algorithms. Appl Soft Comput. 2008;8(2):1150–1160.10.1016/j.asoc.2007.10.003
  • Chou JH, Ghaboussi J. Genetic algorithm in structural damage detection. Comput Struct. 2001;79(14):1335–1353.10.1016/S0045-7949(01)00027-X
  • Buezas FS, Rosales MB, Filipich CP. Damage detection with genetic algorithms taking into account a crack contact model. Eng Fract Mech. 2011;78(4):695–712.10.1016/j.engfracmech.2010.11.008
  • He RS, Hwang SF. Damage detection by an adaptive real-parameter simulated annealing genetic algorithm. Comput Struct. 2006;84(31):2231–2243.10.1016/j.compstruc.2006.08.031
  • Sahoo B, Maity D. Damage assessment of structures using hybrid neuro-genetic algorithm. Appl Soft Comput. 2007;7(1):89–104.10.1016/j.asoc.2005.04.001
  • Kokot S, Zembaty Z. Damage reconstruction of 3D frames using genetic algorithms with Levenberg–Marquardt local search. Soil Dyn Earthq Eng. 2009;29(2):311–323.10.1016/j.soildyn.2008.03.001
  • Kennedy J, Eberhart RC. Particle swarm optimization. Proceedings of IEEE international conference on neural networks. Perth; 1995.
  • Eberhart RC, Kennedy J. A new optimizer using particle swarm theory. Proceedings of the sixth international symposium on micro machine and human science. New York, NY; 1995.
  • Poli R, Kennedy J, Blackwell T. Particle swarm optimization. Swarm Intell-US. 2007;1(1):33–57.10.1007/s11721-007-0002-0
  • Kalyani S, Swarup KS. Classifier design for static security assessment using particle swarm optimization. Appl Soft Comput. 2011;11(1):658–666.10.1016/j.asoc.2009.12.026
  • Kuo RJ, Chao CM, Chiu Y. Application of particle swarm optimization to association rule mining. Appl Soft Comput. 2011;11(1):326–336.10.1016/j.asoc.2009.11.023
  • Ganguly S, Sahoo N, Das D. Mono-and multi-objective planning of electrical distribution networks using particle swarm optimization. Appl Soft Comput. 2011;11(2):2391–2405.10.1016/j.asoc.2010.09.002
  • Chen D, Zhao CX. Particle swarm optimization with adaptive population size and its application. Appl Soft Comput. 2009;9(1):39–48.10.1016/j.asoc.2008.03.001
  • Nickabadi A, Ebadzadeh MM, Safabakhsh R. A novel particle swarm optimization algorithm with adaptive inertia weight. Appl Soft Comput. 2011;11(4):3658–3670.10.1016/j.asoc.2011.01.037
  • Sabat SL, Ali L, Udgata SK. Integrated learning particle swarm optimizer for global optimization. Appl Soft Comput. 2011;11(1):574–584.10.1016/j.asoc.2009.12.016
  • Kang F, Li J-j, Xu Q. Damage detection based on improved particle swarm optimization using vibration data. Appl Soft Comput. 2012;12(8):2329–2335.10.1016/j.asoc.2012.03.050
  • Seyedpoor SM. Structural damage detection using a multi-stage particle swarm optimization. Adv Struct Eng. 2011;14(3):541–557.
  • Seyedpoor SM. A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization. Int J Nonlin Mech. 2012;47(1):1–8.10.1016/j.ijnonlinmec.2011.07.011
  • Nouri Shirazi MR, Mollamahmoudi H, Seyedpoor SM. Structural damage identification using an adaptive multi-stage optimization method based on a modified particle swarm algorithm. J Optimiz Theory App. 2014;160(3):1009–1019.10.1007/s10957-013-0316-6
  • Begambre O, Laier JE. A hybrid particle swarm optimization–simplex algorithm (PSOS) for structural damage identification. AdvEngSoftw. 2009;40(9):883–891.
  • Sandesh S, Shankar K. Application of a hybrid of particle swarm and genetic algorithm for structural damage detection. Inverse Pro Sci Eng. 2010;18(7):997–1021.10.1080/17415977.2010.500381
  • Jena PK, Parhi DR. A modified particle swarm optimization technique for crack detection in cantilever beams. Arabian J Sci Eng. 2015;11:1–10.
  • Kaveh A, Maniat M. Damage detection based on MCSS and PSO using modal data. Smart Struct Syst. 2015;15(5):1253–1270.10.12989/sss.2015.15.5.1253
  • Gerist S, Maheri MR. Multi-stage approach for structural damage detection problem using basis pursuit and particle swarm optimization. J Sound Vib. 2016;384:210–226.10.1016/j.jsv.2016.08.024
  • Shi YH, Eberhart R. A modified particle swarm optimizer. Proceedings of Evolutionary Computation Proceedings, IEEE World Congress on Computational Intelligence. Anchorage (AK): IEEE; 1998. p. 69–73.
  • Seo J-H, Im C-H, Heo C-G, et al. Multimodal function optimization based on particle swarm optimization. IEEE T Mag. 2006;42(4):1095–1098.10.1109/TMAG.2006.871568

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