Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams

Journal of Computing in Civil Engineering

Volumn 29, Issue 5, 2015, Pages

  Aydin, Kamil ^a   Kisi, Ozgur ^b  

^a ERCIYES UNIVERSITY   (Turkey)

^b CANIK BASARI UNIVERSITY   (Turkey)

Author keywords

Crack; Damage detection; Fuzzy genetic system; Timoshenko beam

Indexed keywords

CRACKS; DAMAGE DETECTION; ERROR STATISTICS; ERRORS; GENETIC ALGORITHMS; HYBRID SYSTEMS; INVERSE PROBLEMS; MEMBERSHIP FUNCTIONS; PARTICLE BEAMS; STRUCTURAL HEALTH MONITORING;

BEAM-TYPE STRUCTURES; DAMAGE IDENTIFICATION; FUZZY LOGIC APPROACH; GENETIC SYSTEMS; GLOBAL PARAMETERS; HEALTH MONITORING; INTEGRATED SYSTEMS; TIMOSHENKO BEAMS;

FUZZY LOGIC;

EID: 84939437333     PISSN: 08873801     EISSN: 19435487     Source Type: Journal    
DOI: 10.1061/(ASCE)CP.1943-5487.0000385     Document Type: Article

References (92)

1. Abdul Razak, H., Teng, S. L., Ismail, Z., and, Abdul Rahman, A. G. (2001). " Crack detection in a simply supported RC beam using simplified Laplacian." Proc., 19th Int. Modal Analysis Conf., Vol. 2, The Society for Experimental Mechanics, Bethel, CT, 1344-1350.
2. Ahmed, J. A., and, Sarma, A. K. (2005). " Genetic algorithm for optimal operating policy of a multipurpose reservoir." Water Resour. Manage., 19 (2), 145-161. WRMAEJ 0920-4741 10.1007/s11269-005-2704-7
3. Aktan, A. E., Catbas, F. N., Grimmelsman, K. A., and, Tsikos, C. J. (2000). " Issues in infrastructure health monitoring for management." J. Eng. Mech., 10.1061/(ASCE)0733-9399(2000)126:7(711), 711-724. JENMDT 0733-9399
4. Alcala, R., Benitez, J. M., Casillas, J., Cordon, O., and, Perez, R. (2003). " Fuzzy control of HVAC systems optimised by genetic algorithms." Appl. Intell., 18 (2), 155-177. APITE4 0924-669X 10.1023/A:1021986309149
5. Avitabile, P. (2002). " Twenty years of structural dynamic modification: A review." Proc., IMAC-XX: A Conf. on Structural Dynamics, Vol. 1, The Society for Experimental Mechanics, Bethel, CT, 356-372.
6. Babu, T. R., and, Sekhar, A. S. (2008). " Detection of two cracks in a rotor-bearing system using amplitude deviation curve." J. Sound Vib., 314 (3-5), 457-464. JSVIAG 0022-460X 10.1016/j.jsv.2008.03.011
7. Bäck, T., and, Kursawe, F. (1995). " Evolutionary algorithms for fuzzy logic: A brief overview." Fuzzy logic and soft computing, B. Bouchon-Meunier, R. R. Yager and L. A. Zadeh., eds., World Scientific, Singapore.
8. Baghmisheh, M. T. V., Peimani, M., Sadeghi, M. H., and, Ettefagh, M. M. (2008). " Crack detection in beam-like structures using genetic algorithms." Appl. Soft Comput., 8 (2), 1150-1160. 1568-4946 10.1016/j.asoc.2007.10.003
9. Baneen, U., Kinkaid, N. M., Guivant, J. E., and, Herszberg, I. (2012). " Vibration based damage detection of a beam-type structure using noise suppression method." J. Sound Vib., 331 (8), 1777-1788. JSVIAG 0022-460X 10.1016/j.jsv.2011.12.018
10. Barai, S. V., and, Pandey, P. C. (1995). " Multilayer perceptron in damage detection of bridge structures." Comput. Struct., 54 (4), 597-608. CMSTCJ 0045-7949 10.1016/0045-7949(94)00377-F
11. Carden, P. E., and, Fanning, P. (2004). " Vibration based condition monitoring: A review." Struct. Health Monit., 3 (4), 355-377. 1475-9217 10.1177/1475921704047500
12. 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. JSVIAG 0022-460X 10.1016/j.jsv.2009.05.030
13. Chang, C. C., and, Chen, L. W. (2003). " Vibration damage detection of a Timoshenko beam by spatial wavelet based approach." Appl. Acoust., 64 (12), 1217-1240. AACOBL 0003-682X 10.1016/S0003-682X(03)00070-7
14. Choi, F. C., Li, J., Samali, B., and, Crews, K. (2007). " An experimental study on damage detection of structures using a timber beam." J. Mech. Sci. Technol., 21 (6), 903-907. 1738-494X 10.1007/BF03027066
15. Chong, K. P., Carino, N. J., and, Washer, G. (2003). " Health monitoring of civil infrastructures." Smart Mater. Struct., 12 (3), 483-493. SMSTER 0964-1726 10.1088/0964-1726/12/3/320
16. Cordon, O., Harrera, F., Hoffman, F., and, Magdalena, L. (2001 a). Genetic fuzzy systems. Evolutionary tuning and learning of fuzzy knowledge bases, advances in fuzzy systems: Applications and theory, World Scientific, Singapore.
17. Cordon, O., Herrera, F., and, Villar, P. (2001 b). " Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base." IEEE Trans. Fuzzy Syst., 9 (4), 667-674. IEFSEV 1063-6706 10.1109/91.940977
18. Cox, E. (2005). Fundamental concepts of fuzzy systems, fuzzy modeling and genetic algorithms for data mining and exploration, Morgan Kaufmann, San Francisco.
19. Dackermann, U. (2010). " Vibration-based damage identification methods for civil engineering structures using artificial neural networks." Ph.D. thesis, Univ. of Technology, Sydney, Australia.
20. Damousis, I. G., and, Dokopoulos, P. A. (2001). " Fuzzy expert system for the forecasting of wind speed and power generation in wind farms." Proc., Int. Conf. on Power Industry Computer Applications, IEEE Power Engineering Society, Piscataway, NJ, 63-69.
21. Das, H. C., and, Parhi, D. R. (2009). " Detection of the crack in cantilever structures using fuzzy gaussian inference technique." AIAA J., 47 (1), 105-125. AIAJAH 0001-1452 10.2514/1.35927
22. Dimarogonas, A. D. (1996). " Vibration of cracked structures: A state of the art review." Eng. Frac. Mech., 55 (5), 831-857. EFMEAH 0013-7944 10.1016/0013-7944(94)00175-8
23. Doebling, S. W., Farrar, C. R., and, Prime, M. B. (1998). " Summary review of vibration-based damage identification methods." Shock Vib. Dig., 30 (2), 91-105. SHVDAN 0583-1024 10.1177/058310249803000201
24. Doebling, S. W., Farrar, C. R., Prime, M. B., and, Shevitz, D. W. (1996). " Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review." Rep.: LA-13070-MS, Los Alamos National Laboratory, Los Alamos, NM.
25. Elkordy, M. F., Chang, K. C., and, Lee, G. C. (1993). " Neural networks trained by analytically simulated damage states." J. Comput. Civil Eng., 10.1061/(ASCE)0887-3801(1993)7:2(130), 130-145. JCCEE5 0887-3801
26. Fan, W., and, Qiao, P. (2011). " Vibration-based damage identification methods: A review and comparative study." Struct. Health Monit., 10 (1), 83-111. 1475-9217 10.1177/1475921710365419
27. Fang, X., Luo, H., and, Tang, J. (2005). " Structural damage detection using neural network with learning rate improvement." Comput. Struct., 83 (25-26), 2150-2161. CMSTCJ 0045-7949 10.1016/j.compstruc.2005.02.029
28. Farrar, C. R., and, Doebling, S. W. (1997). " Lessons learned from applications of vibration based damage identification methods to a large bridge structure." Proc., Int. Workshop on Structural Health Monitoring, Technomic Publishing Company, Lancaster, PA, 351-370.
29. Farrar, C. R., and, Jauregui, D. A. (1998). " Comparative study of damage identification algorithms applied to a bridge: I. Experiment." Smart Mater. Struct., 7 (5), 704-719. SMSTER 0964-1726 10.1088/0964-1726/7/5/013
30. Fazzolari, M., Alcala, R., Nojima, Y., Ishibuchi, H., and, Herrera, F. (2013). " A review of the application of Multi-Objective Evolutionary Systems: Current status and further directions." IEEE T. Fuzzy Syst., 21 (1), 45-65. IEFSEV 1063-6706 10.1109/TFUZZ.2012.2201338
31. Finotto, V. C., da Silva, W. R. L., Valášek, M., and, Štemberk, P. (2013). " Hybrid fuzzy-genetic system for optimising cabled-truss structures." Adv. Eng. Softw., 62-63, 85-96. AESODT 0141-1195 10.1016/j.advengsoft.2013.04.012
32. Friswell, M. I., and, Mottershead, J. E. (2001). " Inverse methods in structural health monitoring." Proc., 4th Int. Conf. on Damage Assessment of Structures, Trans Tech Publications, Switzerland, 201-210.
33. Ganguli, R. (2002). " Health monitoring of helicopter rotor in forward flight using fuzzy logic." AIAA J., 40 (12), 2773-2781. AIAJAH 0001-1452 10.2514/2.1588
34. Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning, Addison-Wesley, Reading, MA.
35. Gonzalez, M. P., and, Zapico, J. L. (2008). " Seismic damage identification in buildings using neural networks and modal data." Comput. Struct., 86 (3-5), 416-426. CMSTCJ 0045-7949 10.1016/j.compstruc.2007.02.021
36. Hadi, N. H., and, Ashoor, H. S. (2011). " Damage detection and location for in and out-of-plane curved beams using fuzzy logic based on frequency difference." J. Eng., 4 (17), 948-966.
37. Hamey, C. S., Lestari, W., Qiao, P., and, Song, G. (2004). " Experimental damage identification of carbon/epoxy composite beams using curvature mode shapes." Struct. Health Monit., 3 (4), 333-353. 1475-9217 10.1177/1475921704047502
38. Hartati, S., and, Uyun, S. (2011). " Computation of diet composition for patients suffering from kidney and urinary tract diseases with the fuzzy genetic system." Int. J. Comput. Appl., 36 (6), 38-45.
39. He, Y., Guo, D., and, Chu, F. (2001). " Using genetic algorithms and finite element methods to detect shaft crack for rotor-bearing system." Math. Comput. Simulat., 57 (1-2), 95-108. MCSIDR 0378-4754 10.1016/S0378-4754(01)00295-6
40. Heider, H., Tryba, V., and, Muhlenfeld, E. (1995). " Automatic design of fuzzy systems by genetic algorithms. " Fuzzy logic and soft computing, B. Bouchon-Meunier, R. R. Yager and L. A. Zadeh., eds., World Scientific, Singapore.
41. Herrera, F. (2008). " Genetic fuzzy systems: Taxonomy, current research trends and prospects." Evol. Intel., 1 (1), 27-46. 1864-5909 10.1007/s12065-007-0001-5
42. Herrera, F., Lozano, M., and, Verdegay, J. L. (1995). " Generating fuzzy rules from examples using genetic algorithms." Fuzzy logic and soft computing, B. Bouchon-Meunier, R. R. Yager and L. A. Zadeh., eds., World Scientific, Singapore.
43. Hu, C., and, Afzal, M. T. (2006). " A statistical algorithm for comparing mode shapes of vibration testing before and after damage in timbers." J. Wood Sci., 52 (4), 348-352. JWSCFG 1435-0211 10.1007/s10086-005-0769-9
44. Jain, L. C., and, Martin, N. M. (1998). Fusion of neural networks, fuzzy systems and genetic algorithms: Industrial applications, CRC Press, Boca Raton, FL.
45. Jiang, S. (2002). Structural optimization and damage detection based on neural network, Science Press, Beijing.
46. Kao, C. Y., and, Hung, S. L. (2005). " A neural network-based approach for detection of structural damage." Proc., 16th IASTED Conf. on Modeling and Simulation, ACTA Press, Calgary, AB, Canada, 251-256.
47. Karunanithi, N., Grenney, W. J., Whitley, D., and, Bovee, K. (1994). " Neural networks for river flow prediction." J. Comput. Civ. Eng., 10.1061/(ASCE)0887-3801(1994)8:2(201), 201-220. JCCEE5 0887-3801
48. Kessler, S. S., Spearing, S. M., Atalla, M. J., Cesnik, C. E. S., and, Soutis, C. (2002). " Damage detection in composite materials using frequency response methods." Compos. Part B Eng., 33 (1), 87-95. 1359-8368 10.1016/S1359-8368(01)00050-6
49. Kim, J. T., and, Stubbs, N. (2002). " Improved damage identification method based on modal information." J. Sound Vib., 252 (2), 223-238. JSVIAG 0022-460X 10.1006/jsvi.2001.3749
50. Kim, J. T., and, Stubbs, N. (2003). " Crack detection in beam-type structures using frequency data." J. Sound Vib., 259 (1), 145-160. JSVIAG 0022-460X 10.1006/jsvi.2002.5132
51. Kiszka, J. B., Kochanskia, M. E., and, Sliwinska, D. S. (1985). " The influence of some fuzzy implication operators on the accuracy of fuzzy model, Part I." Fuzzy Set Syst., 15 (2), 111-128. 0165-0114 10.1016/0165-0114(85)90041-7
52. Kosko, B. (1994). Fuzzy thinking: The new science of fuzzy logic, Hyperion, New York.
53. Li, Q. S. (2003). " Vibratory characteristics of Timoshenko beams with arbitrary number of cracks." J. Eng. Mech., 10.1061/(ASCE)0733-9399(2003)129:11(1355), 1355-1359. JENMDT 0733-9399
54. Lo, C. H., Chan, P. T., Wong, Y. K., Rad, A. B., and, Cheung, K. L. (2007). " Fuzzy-genetic algorithm for automatic fault detection in HVAC systems." Appl. Soft Comput., 7 (2), 554-560. 1568-4946 10.1016/j.asoc.2006.06.003
55. Maeck, J. (2003). " Damage assessment of civil engineering structures by vibration monitoring." Ph.D. thesis, Katholieke Universiteit, Leuven, Belgium.
56. MATLAB. [Computer software]. Mathworks, Natick, MA.
57. Masri, S. F., Nakamura, M., Chassiakos, A. G., and, Caughey, T. K. (1996). " Neural network approach to detection of changes in structural parameters." J. Eng. Mech., 10.1061/(ASCE)0733-9399(1996)122:4(350), 350-360. JENMDT 0733-9399
58. Ni, G., Li, Y., and, Niu, L. (2003). " New development of neural network-based data fusion technique." J. Beijing Inst. Technol., 23 (4), 503-506.
59. Ni, Y. Q., Zhou, X. T., and, Ko, J. M. (2006). " Experimental investigation of seismic damage identification using PCA-compressed frequency response functions and neural networks." J. Sound Vib., 290 (1-2), 242-263. JSVIAG 0022-460X 10.1016/j.jsv.2005.03.016
60. Owolabi, G. M., Swamidas, A. S. J., and, Seshadri, R. (2003). " Crack detection in beams using changes in frequencies and amplitudes of frequency response functions." J. Sound Vib., 265 (1), 1-22. JSVIAG 0022-460X 10.1016/S0022-460X(02)01264-6
61. Özger, M. (2009). " Comparison of fuzzy inference systems for streamflow prediction." Hydrolog. Sci. J., 54 (2), 261-273. HSJODN 0262-6667 10.1623/hysj.54.2.261
62. Patjawit, A., and, Kanok-Nukulchai, W. (2005). " Health monitoring of highway bridges based on a global flexibility index." Eng. Struct., 27 (9), 1385-1391. ENSTDF 0141-0296 10.1016/j.engstruct.2005.04.003
63. Pawar, P. M., and, Ganguli, R. (2003). " Genetic fuzzy system for damage detection in beams and helicopter rotor blades." Comput. Method. Appl. M., 192 (16-18), 2031-2057. CMMECC 0045-7825 10.1016/S0045-7825(03)00237-8
64. Pawar, P. M., and, Ganguli, R. (2005). " Matrix cracking detection in thin-walled composite beam using genetic fuzzy system." J. Intel. Mat. Syst. Str., 16 (5), 381-468. JMSSER 1045-389X 10.1177/1045389X05051001
65. Pawar, P. M., and, Ganguli, R. (2007). " Genetic fuzzy system for online structural health monitoring of composite helicopter rotor blades." Mech. Syst. Signal Pr., 21 (5), 2212-2236. 0888-3270 10.1016/j.ymssp.2006.09.006
66. Pawar, P. M., and, Ganguli, R. (2011). Structural health monitoring using genetic fuzzy systems, Springer, London.
67. Perera, R., Ruiz, A., and, Manzano, C. (2009). " Performance assessment of multicriteria damage identification genetic algorithms." Comput. Struct. 87 (1-2), 120-127. CMSTCJ 0045-7949 10.1016/j.compstruc.2008.07.003
68. Preis, A., and, Ostfeld, A. (2008). " A coupled model tree-genetic algorithm scheme for flow and water quality predictions in watersheds." J. Hydrol., 349 (3-4), 364-375. 0022-1694 10.1016/j.jhydrol.2007.11.013
69. Rakideh, M., Dardel, M., and, Pashaei, M. H. (2013). " Crack detection of Timoshenko beams using vibration behavior and neural network." Int. J. Eng., 26 (12), 1433-1444. 1025-2495
70. 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. CMSTCJ 0045-7949 10.1016/j.compstruc.2004.01.005
71. Rashidi, A., Jazebi, F., and, Brilakis, I. (2011). " Neurofuzzy genetic system for selection of construction project managers." J. Constr. Eng. Manage., 10.1061/(ASCE)CO.1943-7862.0000200, 17-29. JCEMD4 0733-9364.
72. Ratcliffe, C. P. (2000). " A frequency and curvature based experimental method for locating damage in structures." J. Vib. Acoust., 122 (3), 324-329. JVACEK 1048-9002 10.1115/1.1303121
73. Russel, S. O., and, Campbell, P. F. (1996). " Reservoir operating rules with fuzzy programming." J. Water Resour. Plann. Manage., 10.1061/(ASCE)0733-9496(1996)122:3(165), 165-170. JWRMD5 0733-9496
74. Salane, H. J., and, Baldwin, J. W. (1990). " Identification of modal properties of bridges." J. Struct. Eng., 10.1061/(ASCE)0733-9445(1990)116:7(2008), 2008-2021. JSENDH 0733-9445
75. Sawyer, J. P., and, Rao, S. S. (2000). " Structural damage detection and identification using fuzzy logic." AIAA J., 38 (12), 2328-2335. AIAJAH 0001-1452 10.2514/2.902
76. Şen, Z. (1998). " Fuzzy algorithm for estimation of solar irradiation from sunshine duration." Sol. Energy, 63 (1), 39-49. SRENA4 0038-092X 10.1016/S0038-092X(98)00043-7
77. Sette, S., and, Boullart, L. (2000). " An implementation of genetic algorithms for rule based machine learning." Eng. Appl. Artif. Intel., 13 (4), 381-390. EAAIE6 0952-1976 10.1016/S0952-1976(00)00020-8
78. Shafiei, M., and, Khaji, N. (2011). " Analytical solutions for free and forced vibrations of a multiple cracked Timoshenko beam subject to a concentrated moving load." Acta Mech., 221 (1-2), 79-97. AMHCAP 0001-5970 10.1007/s00707-011-0495-x
79. Swamidas, A. S. J., Yang, X., and, Seshadri, R. (2004). " Identification of cracking in beam structures using Timoshenko and Euler formulations." J. Eng. Mech., 10.1061/(ASCE)0733-9399(2004)130:11(1297), 1297-1308. JENMDT 0733-9399
80. Viola, E., Federici, L., and, Nobile, L. (2001). " Detection of crack location using cracked beam element method for structural analysis." Theor. Appl. Fract. Mech., 36 (1), 23-35. TAFME4 0167-8442 10.1016/S0167-8442(01)00053-2
81. Wang, D., Zhu, H., Chen, C., and, Xia, Y. (2007). " An impedance analysis for crack detection in the Timoshenko beam based on the anti-resonance technique." Acta Mech. Solida Sin., 20 (3), 228-235. KTLPD8 0894-9166 10.1007/s10338-007-0727-8
82. Wang, J. H., and, Chuang, S. C. (2004). " Reducing errors in the identification of structural joint parameters using error functions." J. Sound Vib., 273 (1-2), 295-316. JSVIAG 0022-460X 10.1016/S0022-460X(03)00502-9
83. Wang, Q. J. (1991). " The genetic algorithm and its application to calibrating conceptual rainfall-runoff models." Water Resour. Res., 27 (9), 2467-2471. WRERAQ 0043-1397 10.1029/91WR01305
84. Wang, W. Q., Golnaraghi, M. F., and, Ismail, F. (2004). " Prognosis of machine health condition using neuro-fuzzy systems." Mech. Syst. Signal Pr., 18 (4), 813-831. 0888-3270 10.1016/S0888-3270(03)00079-7
85. Weaver, W., Timoshenko, S. P., and, Young, D. H. (1990). Vibration problems in engineering, Wiley, New York.
86. Wu, X., Ghaboussi, J., and, Garrett, J. H. (1992). " Use of neural networks in detection of structural damage." Comput. Struct., 42 (4), 649-659. CMSTCJ 0045-7949 10.1016/0045-7949(92)90132-J
87. Yang, J. N., Lei, Y., Lin, S., and, Huang, N. (2004). " Hilbert-Huang based approach for structural damage detection." J. Eng. Mech., 10.1061/(ASCE)0733-9399(2004)130:1(85), 85-95. JENMDT 0733-9399
88. Zadeh, L. A. (1965). " Fuzzy Sets." Inf. Control, 8 (3), 38-53. IFCNA4 0019-9958 10.1016/S0019-9958(65)90241-X
89. Zang, C., and, Imregun, M. (2001). " Combined neural network and reduced FRF techniques for slight damage detection using measured response data." Arch. Appl. Mech., 71 (8), 525-536. AAMEEA 1432-0681 10.1007/s004190100154
90. Zhu, X. Q., and, Law, S. S. (2006). " Wavelet-based crack identification of bridge beam from operational deflection time history." Int. J. Solids Struct., 43 (7-8), 2299-2317. IJSOAD 0020-7683 10.1016/j.ijsolstr.2005.07.024
91. Zio, E., and, Gola, G. (2009). " A neuro-fuzzy technique for fault diagnosis and its application to rotating machinery." Reliab. Eng. Syst. Safe., 94 (1), 78-88. RESSEP 0951-8320 10.1016/j.ress.2007.03.040
92. Zou, Y., Tong, L., and, Steven, G. P. (2000). " Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures: A review." J. Sound Vib., 230 (2), 357-378. JSVIAG 0022-460X 10.1006/jsvi.1999.2624