참고문헌
- Jeyasehar, A.C. and Sumangala, K. (2006), "Damage assessment of prestressed concrete beams using artificial neaural network (ANN) approach", Comput. Struct., 84, 1709-1718. https://doi.org/10.1016/j.compstruc.2006.03.005
- Bagheri, A., Ghodrati Amiri, G. and Seyed Razzaghi, S.A. (2009), "Vibration-based damage identification of plate structures via curvelet transform", J. Sound Vib., 327, 593-603. https://doi.org/10.1016/j.jsv.2009.06.019
- Beena, P. and Ganguli, R. (2011), "Structural damage detection using fuzzy cognitive maps and Hebbian learning", Appl. Soft Comput., 11, 1014-1020. https://doi.org/10.1016/j.asoc.2010.01.023
- Danai, K., Civjan, S.A. and Styckiewicz, M. (2012), "Direct method of damage localization for civil structures via shape comparison of dynamic response measurements", Comput. Struct., 92-93, 297-307. https://doi.org/10.1016/j.compstruc.2011.10.016
- Esfandiari, A., Bakhtiari Nejad, F., Sanayei, M. and Rahai, A. (2010), "Structural finite element model updating using transfer function data", Comput. Struct., 88, 54-64. https://doi.org/10.1016/j.compstruc.2009.09.004
- Esfandiari, E., Bakhtiari Nejad, F., Rahai, A. and Sanayei, M. (2009), "Structural model updating using frequency response function and quasi-linear sensitivity equation", J. Sound Vib., 326, 557-573. https://doi.org/10.1016/j.jsv.2009.07.001
- Friswell, M.I., Penny, J.E. and Garvey, S.D. (1998), "A combined genetic and eigensensitivity algorithm for the location of damage in structures", Comput. Struct., 69, 547-556. https://doi.org/10.1016/S0045-7949(98)00125-4
- Gou, H. and Ling, Z. (2006), "A weighted balance evidence theory for structural multiple damage localization", Comput. Method. Appl. Mech. Eng., 195, 6225-6238. https://doi.org/10.1016/j.cma.2005.12.010
- Guan, H. and Karbhari, V. (2008), "Improved damage detection method based on Element Modal Strain Damage Index using sparse measurement", J. Sound Vib., 309, 465-494. https://doi.org/10.1016/j.jsv.2007.07.060
- He, R. and Hwang, S. (2007), "Damage detection by a hybrid real-parameter genetic algorithm under the assistance of grey relation analysis", Eng. Appl. Artif. Intel., 20, 980-992. https://doi.org/10.1016/j.engappai.2006.11.020
- Jiang, S.F., Zhang, C.M. and Zhang, S. (2011), "Two-stage structural damage detection using fuzzy neural networks and data fusion techniques", Exp. Syst. Appl., 38, 511-519. https://doi.org/10.1016/j.eswa.2010.06.093
- Khorshidian, F. and Esfandiari, A. (2011), "Structural damage diagnosis using modal data", Scientia Iranica, 18 (4), 853-860. https://doi.org/10.1016/j.scient.2011.07.012
- 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, 117-130. https://doi.org/10.1016/j.compstruc.2006.09.005
- Lakshmi Narayana, K. and Jebaraj, C. (1999), "Sensitivity analysis of local/global modal parameters for identification of a crack in a beam", J. Sound Vib., 228(5), 977-994. https://doi.org/10.1006/jsvi.1999.2445
- Lee, U. and Shin, J. (2002), "A frequency response function-based structural damage identification method", Comput. Struct., 80, 117-132. https://doi.org/10.1016/S0045-7949(01)00170-5
- Li, Y.Y. and Chen, Y. (2013), "A review on recent development of vibration-based structural robust damage detection", Struct. Eng. Mech., 45(2). 159-168. https://doi.org/10.12989/sem.2013.45.2.159
- Liu, X., Lieven, N.A. and Escamilla-Ambrosio, P.J. (2009), "Frequency response function shape-based method for structural damage localization", Mech. Syst. Sig. Proc., 23, 1243-1259. https://doi.org/10.1016/j.ymssp.2008.10.002
- Messina, A., Williams, E.J. and Contursi, T. (1998), "Structural damage detection by sensitivity and statistical-based method", J. Sound Vib, 216(5), 791-808. https://doi.org/10.1006/jsvi.1998.1728
- Morassi, A. and Vestroni, F. (2008), Dynamic Methods for Damage Detection in Structures, Springer Wien New York.
- Na, C., Kim, S.P. and Kwak, H.G. (2011), "Structural damage evaluation using genetic algorithm", J. Sound Vib, 330, 2772-2783. https://doi.org/10.1016/j.jsv.2011.01.007
- Nobahari, M. and Seyedpoor, S.M. (2011), "Structural damage detection using an efficient correlation-based index and a modified genetic algorithm", Math. Comput. Model., 53, 1798-1809. https://doi.org/10.1016/j.mcm.2010.12.058
- Pandey, A.K., Biswas, M. and Samman, M.M. (1991), "Damage detection from changes in curvature mode shapes", J. Sound Vib., 145(2), 321-332. https://doi.org/10.1016/0022-460X(91)90595-B
- Radzienski, M., Krawczuk, M. and Palacz, M. (2011), "Improvement of damage detection methods based on experimental modal parameters", Mech. Syst. Sig. Proc., 25, 2169-2190. https://doi.org/10.1016/j.ymssp.2011.01.007
- Sampaio, R.P., Maia, N.M. and Silva, J.M. (1999), "Damage detection using the frequency-response-function curvature method", J. Sound .Vib., 226(5), 1029-1042. https://doi.org/10.1006/jsvi.1999.2340
- 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. Nonlin. Mech., 47, 1-8.
- Shi, Z.Y., Law, S.S. and Zhang, L.M. (2000), "Damage localization by directly using incomplete mode shapes", J. Eng. Mech., 126(6), 656-660. https://doi.org/10.1061/(ASCE)0733-9399(2000)126:6(656)
- Stubbs, N., Kim, J.T. and Charles, R.F. (1995), "Field verification of a nondestructive damage localization and severity estimation algorithm", Proceedings XIII International Modal Analysis Conference, Nashville, U.S.A.
- Wu, N. and Wang, Q. (2011), "Experimental studies on damage detection of beam structures with wavelet transform", Int. J. Eng. Sci., 49, 253-261. https://doi.org/10.1016/j.ijengsci.2010.12.004
- Yu, Z. and Jianwei, Z. (2010), "Damage identification of a concrete cantilever beam based on elman neural network", Proceedings of 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).
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