References
- Au, F. T. K., Cheng, Y. S., Tham, L. G. and Bai, Z. Z. (2003), "Structural damage detection based on a microgenetic algorithm using incomplete and noisy modal test data", J. Sound Vib., 259(5), 1081-1094. https://doi.org/10.1006/jsvi.2002.5116
- Choi, M. Y. and Kwon, I. B. (2000), "Damage detection system of a real steel truss bridge by neural networks", Proceedings of SPIE, 3988, 295-306.
- Chou, J. H. and Ghaboussi, J. (2001), "Genetic algorithm in structural damage detection", Comput. Struct., 79, 1335-1353. https://doi.org/10.1016/S0045-7949(01)00027-X
- Friswell, M. I., Penny, J. E. T. and Garvey, S. D. (1998), "A combined genetic and eigensensitivity algorithm for the location of damage in structures", Comput Struct., 69(5), 547-556. https://doi.org/10.1016/S0045-7949(98)00125-4
- Goldberg, D. E. (1999), Genetic algorithms in search, optimization & machine learning, Addison-Wesley, New York.
- Hao, H. and Xia, Y. (2002), "Vibration-based damage detection of structures by genetic algorithm", J. Comput. Civ. Eng., 16(3), 222-229. https://doi.org/10.1061/(ASCE)0887-3801(2002)16:3(222)
- Hoshiya, M. and Saito, E. (1984), "Structural identification by extended kalman filter", ASCE J. Eng. Mech., 110(12), 1757-1770. https://doi.org/10.1061/(ASCE)0733-9399(1984)110:12(1757)
- Kim, J. T. (2001), "Crack detection scheme for steel plate-girder bridges via vibration-based system identification", KSCE J. Civ. Eng., 5(1), 1-10.
- Kim, J. T., Ryu, Y. S., Cho, H. M. and Stubbs, N. (2003a), "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
- Kim, J. T. and Stubbs, N. (1995), "Model-uncertainty impact and damage detection accuracy in plate girder", J. Struct. Eng., 121(10), 1409-1417. https://doi.org/10.1061/(ASCE)0733-9445(1995)121:10(1409)
- Kim, J. T., Yun, C. B. and Yi, J. H. (2003b), "Temperature effects on frequency-based damage detection in plategirder bridges", KSCE J. Civ. Eng., 7(6), 725-733. https://doi.org/10.1007/BF02829141
- Lee, J. J. and Yun, C. B. (2006), "Two-step approaches for effective bridge health monitoring", Struct. Eng. Mech., 23(1), 75-95. https://doi.org/10.2208/jsceseee.23.75s
- Maia, N. M. M., Silva, J. M. M. and Almas, E. A. M. (2003), "Damage detection in structures: from mode shape to frequency response function methods", Mechanical System and Signal Processing, 17(3), 489-498. https://doi.org/10.1006/mssp.2002.1506
- Mares, C. and Surace, C. (1996), "An application of genetic algorithms to identify damage in elastic structures", J. Sound Vib., 195(2), 195-215. https://doi.org/10.1006/jsvi.1996.0416
- Raich, A. M. and Liszkai, T. R. (2003), "Benefits of applying and implicit redundant representation genetic algorithm for structural damage detection in noisy environments", Genetic and Evolutionary Computation Conference, 2724(2003), 2418-2419.
- Rao, M. A., Srinivas, J. and Murthy, B. S. N. (2004), "Damage detection in vibrating bodies using genetic algorithms", Comput. Struct., 82(11/12), 963-968. https://doi.org/10.1016/j.compstruc.2004.01.005
- Ruotolo, R. and Surace, C. (1997), "Damage assessment of multiple cracked beams: numerical results and experimental validation", J. Sound Vib., 206(4), 567-588. https://doi.org/10.1006/jsvi.1997.1109
- Sohn, H., Farrar, C. R., Hemez, F. M., Shucnk, D. D., Strnemates, D. W. and Nadler, B. R. (2003), "A review of structural health monitoring literature: 1996-2001", LA-13976-MS, Los Alamos National Laboratory, Los Alamos, p. 301.
- Stubbs, N., Park, S., Sikorsky, C. and Choi, S. (2000), "A global non-destructive damage assessment methodology for civil engineering structures", Int. J. System Sci., 42(11), 1361-1373.
- Wu, X., Ghaboussi, J. and Garrett, J. H. Jr. (1992), "Use of neural networks in detection of structural damage", Comput. Struct., 42(5), 649-659. https://doi.org/10.1016/0045-7949(92)90132-J
- Yi, J. H. and Yun, C. B. (2004), "Comparative study on modal identification methods using output-only information", Struct. Eng. Mech., 17(3-4), 445-466. https://doi.org/10.12989/sem.2004.17.3_4.445
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