참고문헌
- Al-Ghalib, A.A., Mohammad, F.A., Rahman, M. and Chilton, J. (2011), "Damage identification in a concrete beam using curvature difference ratio", J. Phys. Conf. Ser., 305, 012109. https://doi.org/10.1088/1742-6596/305/1/012109
- Bakhary, N., Hao, H. and Deeks, A. (2010), "Structure damage detection using neural network with multi-stage substructuring", Adv. Struct. Eng., 13(1), 95-110. https://doi.org/10.1260/1369-4332.13.1.95
- Banks, A., Vincent, J. and Anyakoha, C. (2007), "A review of particle swarm pptimization. Part I: background and development", Nat. Comput., 6(4), 467-484. https://doi.org/10.1007/s11047-007-9049-5
- Banks, A., Vincent, J. and Anyakoha, C. (2008), "A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications", Nat. Comput., 7(1), 109-124. https://doi.org/10.1007/s11047-007-9050-z
- Chandrashekhar, M. and Ganguli, R. (2009), "Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic", J. Sound. Vib., 326(3-5), 939-957. https://doi.org/10.1016/j.jsv.2009.05.030
- Guo, H.Y. and Li, Z.L. (2013), "Structural damage identification based on evidence fusion and improved particle swarm optimization", J. Vib. Control, DOI: 10.1177/1077546312469422.
- Kang, F., Li, J.J. and Xu, Q. (2012), "Damage detection based on improved particle swarm optimization using vibration data", Appl. Soft Comput., 12(8), 2329-2335. https://doi.org/10.1016/j.asoc.2012.03.050
- Kang, F., Li, J.J. and Liu, S. (2013), "Combined data with particle swarm optimization for structural damage detection", Math. Prob. Eng., Article ID 416941.
- Kennedy, J. and Eberhart, R. (1995), "Particle swarm optimization", Proc. IEEE Int. Conf. Neural Networks.
- Liu, H.B., Jiao, Y.B., Gong, Y.F., Bi, H.P. and Sun, Y.Y. (2011), "Damage identification for simply-supported bridge based on SVM optimized by PSO (PSO-SVM)", Appl. Mech. Mat., 80, 490-494.
- Maity, D. and Tripathi, R.R. (2005), "Damage assessment of structures from changes in natural frequencies using genetic algorithm", Struct. Eng. Mech., 19 (1), 21-42. https://doi.org/10.12989/sem.2005.19.1.021
- Maity, D. and Saha A. (2004), "Damage assessment in structure from changes in static parameter using neural networks", Sadhana, 29(3), 315-327. https://doi.org/10.1007/BF02703781
- Majumdar, A., Maiti, D.K. and Maity, D. (2012), "Damage assessment of truss structures from changes in natural frequencies using ant colony optimization", Appl Math Comput, 218(19), 9759-9772. https://doi.org/10.1016/j.amc.2012.03.031
- Mehrjoo, M., Khaji, N. and Ghafory-Ashtiany, M. (2013), "Application of genetic algorithm in crack detection of beam-like structures using a new cracked Euler-Bernoulli beam element", Appl Soft Comput, 13(2), 867-880. https://doi.org/10.1016/j.asoc.2012.09.014
- Nanda, B., Maity, D. and Maiti, D.K. (2012), "Vibration based structural damage detection technique using particle swarm optimization with incremental swarm size", J. Aeronaut. Space Sci., 13(3), 323-331.
- 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
- Perera, R., Fang, S.E. and Ruiz, A. (2010), "Application of particle swarm optimization and genetic algorithms to multi-objective damage identification inverse problems with modelling errors", Meccanica, 45(5), 723-734. https://doi.org/10.1007/s11012-009-9264-5
- Parsopoulos, K. and Vrahatis, M. (2010), Particle Swarm Optimization and Intelligence: Advances and Applications, IGI global, New York.
- Sahoo, B. and Maity, D. (2007), "Damage assessment of structures using hybrid neuro-genetic algorithm", Appl. Soft Comput., 7, 89-104. https://doi.org/10.1016/j.asoc.2005.04.001
- 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), 1-8.
- Thatoi, D.N., Das, H. and Parhi, D.R. (2012), "Review of techniques for fault diagnosis in damaged structure and engineering system", Adv. Mech. Eng., 327569, doi:10.1155/2012/327569.
- Tripathi, R.R. and Maity, D. (2004), "Damage assessment of structure from changes in curvature damage factor using neural network", Ind. J. Eng. Mat. S., 11, 369-377.
- Vallabhaneni, V. and Maity D. (2011), "Application of radial basis neural network on damage assessment of Structures", Proc. Eng., 14: 3104-3110. https://doi.org/10.1016/j.proeng.2011.07.390
- Yu, L. and Xu, P. (2011), "Structural health monitoring based on continuous ACO method", Microelectron Reliab, 51(2), 270-278. https://doi.org/10.1016/j.microrel.2010.09.011
- Yun, C.B., Yi, J.H. and Bahng, E.Y. (2001), "Joint damage assessment of framed structures using a neural networks technique", Eng. Struct., 23(5), 425-435. https://doi.org/10.1016/S0141-0296(00)00067-5
- Zhang, J., Peng, H., You, C.H., Deng, Y.L. and Zhang H.Y. (2011), "Damage detection of plane member structures based on modal curvature difference method", Adv. Mat. Res., 163, 2848-2851.
피인용 문헌
- Ant lion optimisation algorithm for structural damage detection using vibration data vol.9, pp.1, 2019, https://doi.org/10.1007/s13349-018-0318-z