과제정보
연구 과제 주관 기관 : Central Universities
참고문헌
- Bakhtiari-Nejad, F., Rahai, A. and Esfandiari, A. (2005), "A structural damage detection method using static noisy data", Eng. Struct., 27(12), 1784-1793. https://doi.org/10.1016/j.engstruct.2005.04.019
- Cao, M., Ye, L., Zhou, L., Su, Z. and Bai, R. (2011), "Sensitivity of fundamental mode shape and static deflection for damage identification in cantilever beams", Mech. Syst. Sign. Pr., 25(2), 630-643. https://doi.org/10.1016/j.ymssp.2010.06.011
- Chen, P.W., Lin, W.Y., Huang, T.H. and Pan, W.T. (2013), "Using fruit fly optimization algorithm optimized grey model neural network to perform satisfaction analysis for e-business service", Appl. Math. Inform. Sci., 7(2), 459-465. https://doi.org/10.12785/amis/072L12
- Daei, M. and Mirmohammadi, S.H. (2015), "A flexibility method for structural damage identification using continuous ant colony optimization", Multidiscipl. Model. Mater. Struct., 11(2), 186-201. https://doi.org/10.1108/MMMS-05-2014-0027
- Ding, Z.H., Huang, M. and Lu, Z.R. (2016), "Structural damage detection using artificial bee colony algorithm with hybrid search strategy", Swarm Evol. Comput., 28, 1-13. https://doi.org/10.1016/j.swevo.2015.10.010
- Fu, Y.Z., Lu, Z.R. and Liu, J.K. (2013), "Damage identification in plates using finite element model updating in time domain", J. Sound Vibr., 332(26), 7018-7032. https://doi.org/10.1016/j.jsv.2013.08.028
- Gao, F. and Lu, Y. (2009), "An acceleration residual generation approach for structural damage identification", J. Sound Vibr., 319(1-2), 163-181. https://doi.org/10.1016/j.jsv.2008.06.014
- Guo, H. (2017), "Structural multi-damage identification based on strain energy and micro-search artificial fish swarm algorithm", J. Vibroeng., 19(5), 3255-3270. https://doi.org/10.21595/jve.2017.17503
- Hosseinzadeh, A.Z., Amiri, G.G. and Koo, K.Y. (2015), "Optimization-based method for structural damage localization and quantification by means of static displacements computed by flexibility matrix", Eng. Optim., 48(4), 543-561.
- Kim, J.T., Ryu, Y.S., Cho, H.M. and Stubbs, N. (2003), "Damage identification in beam-type structures: Frequency-based method vs mode-shape-based method", Eng. Struct., 25(1), 57-67. https://doi.org/10.1016/S0141-0296(02)00118-9
- Li, J. and Hao, H. (2016), "A review of recent research advances on structural health monitoring in Western Australia", Struct. Monitor. Mainten., 3(1), 33-49. https://doi.org/10.12989/smm.2016.3.1.033
- Li, J., Hao, H. and Lo, J.V. (2015), "Structural damage identification with power spectral density transmissibility: Numerical and experimental studies", Smart Struct. Syst., 15(1), 15-40. https://doi.org/10.12989/sss.2015.15.1.015
- Li, S. and Lu, Z.R. (2015), "Multi-swarm fruit fly optimization algorithm for structural damage identification", Struct. Eng. Mech., 56(3), 409-422. https://doi.org/10.12989/sem.2015.56.3.409
- Majumdar, A., Nanda, B., Maiti, D.K. and Maity, D. (2014), "Structural damage detection based on modal parameters using continuous ant colony optimization", Adv. Civil Eng., 110-123.
- Nobahari, M., Ghasemi, M.R. and Shabakhty, N. (2017), "Truss structure damage identification using residual force vector and genetic algorithm", Steel Compos. Struct., 25(4), 485-496. https://doi.org/10.12989/SCS.2017.25.4.485
- Pan, Q.K., Sang, H.Y., Duan, J.H. and Gao, L. (2014), "An improved fruit fly optimization algorithm for continuous function optimization problems", Knowl-Bas. Syst., 62(5), 69-83. https://doi.org/10.1016/j.knosys.2014.02.021
- Pan, W.T. (2011), "A new evolutionary computation approach: Fruit fly optimization algorithm", Proceedings of the Conference on Digital Technology and Innovation Management, Taipei, Taiwan.
- Pan, W.T. (2012), "A new fruit fly optimization algorithm: Taking the financial distress model", Knowl-Bas. Syst., 26(2), 69-74. https://doi.org/10.1016/j.knosys.2011.07.001
- Pan, W.T. (2013), "Using modified fruit fly optimization algorithm to perform the function test and case studies", Connect. Sci., 25(2-3), 151-160. https://doi.org/10.1080/09540091.2013.854735
- Patel, S., Peacock, S.M., McKinley, R.K., Clark Carter, D. and Watson, P.J. (2011), "Aircraft failure detection and identification over an extended flight envelope using an artificial immune system", Aeronaut. J., 115(1163), 43-55. https://doi.org/10.1017/S0001924000005352
- Perera, R. and Ruiz, A. (2008), "A multistage FE updating procedure for damage identification in large scale structural based on multiobjective evolutionary optimization", Mech. Syst. Sign. Pr., 22(4), 970-991. https://doi.org/10.1016/j.ymssp.2007.10.004
- Saada, M.M., Arafa, M.H. and Nassef, A.O. (2013), "Finite element model updating approach to damage identification in beams using particle swarm optimization", Eng. Optim., 45(6), 677-696. https://doi.org/10.1080/0305215X.2012.704026
- Sun, H., Lus, H. and Betti, R. (2013), "Identification of structural models using a modified artificial bee colony algorithm", Comput. Struct., 116(1), 59-74. https://doi.org/10.1016/j.compstruc.2012.10.017
- Sun, Z.G., Chen, Y.F., Shao, Y., Shi, J. and Li, Y.N. (2014), "Model test study on damage identification for suspension bridges", Eng. Mech., 31(6), 132-137.
- Teixeira, J.S., Stutz, L.T., Knupp, D.C. and Neto, A.J.S. (2016), "Structural damage identification via time domain response and Markov Chain Monte Carlo method", Inv. Probl. Sci. En., 25(6), 1-27.
- Wang, J.Y. and Ni, Y.Q. (2015), "Refinement of damage identification capability of neural network techniques in application to a suspension bridge", Struct. Monitor. Maint., 2(1), 77-93. https://doi.org/10.12989/smm.2015.2.1.077
- Wei, J.J. (2011), "Comparison of analytical approaches to tall building structural damage identification based on measured dynamic characteristics", Appl. Mech. Mater., 105-107, 1081-1086. https://doi.org/10.4028/www.scientific.net/AMM.105-107.1081
- Wei, Z., Liu, J. and Lu, Z. (2012), "Structural damage detection using improved particle swarm optimization", Ksii T. Internet Inf. Syst., 6(18), 4733-4746.
- Wu, L., Zuo, C. and Zhang, H. (2015), "A cloud model based fruit fly optimization algorithm", Knowl-Bas. Syst., 89(C), 603-617. https://doi.org/10.1016/j.knosys.2015.09.006
- Xia, Y., Hao, H., Brownjohn, J.M.W. and Xia, P.Q. (2002), "Damage identification of structures with uncertain frequency and mode shape data", Earthq. Eng. Struct. D., 31(5), 1053-1066. https://doi.org/10.1002/eqe.137
- Xu, H.J., Ding, Z.H., Lu, Z.R. and Liu, J.K. (2015), "Structural damage detection based on chaotic artificial bee colony algorithm", Struct. Eng. Mech., 55(6), 1223-1239. https://doi.org/10.12989/sem.2015.55.6.1223
- Yuan, X., Dai, X., Zhao, J. and He, Q. (2014), "On a novel multiswarm fruit fly optimization algorithm and its application", Appl. Math. Comput., 233(3), 260-271.
- Zhang, L.T., Li, Z.X. and Fei, Q.G. (2007), "Study on structural damage identification using acceleration data in time domain", J. Vibr. Shock, 26(9), 138-141.
- Zhu, H.P., Mao, L. and Weng, S. (2014), "A sensitivity-based structural damage identification method with unknown input excitation using transmissibility concept", J. Sound Vibr., 333(26), 7135-7150. https://doi.org/10.1016/j.jsv.2014.08.022
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