Flexural and axial vibration analysis of beams with different support conditions using artificial neural networks

Structural Engineering and Mechanics

Volumn 18, Issue 3, 2004, Pages 303-314

  Civalek, Ömer ^a  

^a AKDENIZ UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Axial and flexural vibration; Elastic beams; Natural frequencies

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BOUNDARY CONDITIONS; COMPUTER NETWORKS; DIFFERENTIAL EQUATIONS; ERROR ANALYSIS; FUZZY SETS; MAPPING; NEURAL NETWORKS; STRUCTURAL DESIGN;

AXIAL VIBRATIONS; ELASTIC BEAMS; FLEXURAL VIBRATIONS; SUPPORT CONDITIONS;

BEAMS AND GIRDERS;

EID: 4043130939     PISSN: 12254568     EISSN: None     Source Type: Journal    
DOI: 10.12989/sem.2004.18.3.303     Document Type: Article

References (36)

1. Adeli, H. and Hung, S.L. (1995), Machine Learning-Neural Networks, Genetic Algorithms and Fuzzy Systems, John Wiley & Sons, Inc.
2. Adeli, H. and Yeh, C. (1989), " Perceptron learning in engineering design" , Microcom. Civil Eng., 4, 247-256.
3. Adeli, H. and Park, H.S. (1995), " A neural dynamics model for structural optimization-theory" , Comput. Struct., 57(3), 383-390.
4. Chen, H.M., Qi, G.Z., Yang, J.C.S. and Amini, F. (1995), " Neural networks for structural dynamic model identification" , J. Eng. Mech., ASCE, 121(12), 1377-1381.
5. Civalek, Ö. (1998a), " Linear and nonlinear static-dynamic analysis of plates and shells by neuro-fuzzy technique" , M.Sc. Thesis, University of Fýrat, (in Turkish), Elaziǧ.
6. Civalek, Ö. (1998b), " The analysis of rectangular plates via neuro-fuzzy technique, III" , National Computational Mechanic Conferences, 517-525, November, Istanbul.
7. Civalek, Ö. (1998c), " The analysis of rectangular plates by neuro-fuzzy technique" , Third National Computational Mechanics Conferences, 16-18, İ.T.Ü., Istanbul, November.
8. Civalek, Ö. (1999a), " The analysis of the rectangular plates without torsion via hybrid artificial intelligent technique" , Proc. of the Second International Symposium on Mathematical & Computational Applications, Azerbaijan, September.
9. Civalek, Ö. (1999b), " The analysis of circular plates via neuro-fuzzy technique" , J. Eng. Science of Dokuzylül University, 1(2), 13-31.
10. Clark, S.K. (1972), Dynamics of Continuous Elements, Prentice-Hall, New Jersey.
11. Craig, R.R. Jr., (1981), Structural Dynamics, An Intoduction to Computer Methods, John Wiley & Sons, New York.
12. Eberhart, R.C. and Dobbins, R.W. (1990), Neural Network PC Tools, Academic Press, San Diego, California.
13. Fausett, L. (1994), Fundamentals of Neural Networks, Architectures, Algorithms, and Applications, Prentice-Hall, Inc., New Jersey.
14. Ghaboussi, J., Garrett, Jr. and Wu, X. (1991), " Knowledge-based modeling of material behavior with neural networks" , J. Struct. Eng., ASCE, 117(1), 132-153.
15. Ghaboussi, J. and Lin, J.C-C. (1998), " New method of generating spectrum compatible accelerograms using neural networks" , Earthq. Eng. Struct. Dyn., 27, 377-396.
16. Ghaboussi, J. (1992), " Potential applications of neuro-biological computational models in geotechnical engineering" , Numerical Models in Geomechanics, Pande and Pietruszczak (eds), 543-555.
17. Ghaboussi, J. (1993), " An overview of the potential applications of neural networks in civil engineering" , in Proc., ASCE Structures Cong. '93, Irvine, California.
18. Hard, K.B. and Ghaboussi, J. (1998), " Neural networks for structural control of a benchmark problem, active tendon system" , Earthq. Eng. Struct. Dyn., 27, 1225-1245.
19. Hurty, W.C. and Rubinstein, M.F. (1967), Dynamics of Structures, Prentice-Hall, New Delhi.
20. Lee, S.C., Park, S.K. and Lee, B.H. (2001), " Development of the approximate analytical model for the stubgirder system using neural networks" , Comput. Struct., 79, 1013-1025.
21. Lin, J.C-C. and Ghaboussi, J. (2001), " Generating multiple spectrum compatible accelerograms using stochastic neural networks" , Earthq. Eng. Struct. Dyn., 30, 1021-1042.
22. Meirovitch, L. (1986), Elements of Vibration Analysis, McGraw-Hill.
23. Park, H.S. and Adeli, H. (1997), " Distributed neural dynamics algorithms for optimization of large steel structures" , J. Struct. Eng., ASCE, 123(7), 880-888.
24. Paz, M. (1997), Structural Dynamics, Theory and Computation, Champman & Hall.
25. Rumelhart, D.E., Hinton, G.E. and Williams, R.J. (1986), " Learning internal representation by error propagation in parallel distributed processing: Explorations in the microstructures of cognition" , M.I.T. Press, Cambridge.
26. Szewezyk, Z.P. and Hajela, P. (1994), " Damage detection in structures based on feature-sensitive neural networks" , J. Computing Civil Eng., ASCE, 8(2), 163-178.
27. Szewezyk, Z.P. and Hajela, P. (1992), " Feature-sensitive neural networks in structural response estimation" , Proc. of Artificial Neural Networks in Eng., Ed. Daǧli, C., Burke, L.I., Shin, Y.C., ASME, 15-18 November, Missouri.
28. Thomsan, W.T. and Dahleh, M.D. (1988), Theory of Vibration with Applications, Prentice Hall, New Jersey.
29. Ülker, M. and Civalek, Ö. (2001), " The analysis of circular cylindrical shells via hybrid artificial intelligent technique" , Turkish Chamber of Civil Eng., 12(2), 2401-2417.
30. Yi, W.H., Lee, H.S., Lee, S.C. and Kim, H.S. (2000), " Development of artificial neural networks based hysteretic model" , Fourteenth Engineering Mechanics Conference, American Society of Civil Engineers, May 21-24,Austin-Texas, U.S.A.
31. Yun, C.B. and Bahng, E.Y. (2001), " Joint damage assessment of framed structures using a neural networks technique" , Eng. Struct., 23, 425-435.
32. Yun, C.B., Yi, J.H. and Bahng, E.Y. (2000), " Substructural identification using neural networks" , Comput. Struct., 77(1), 41-52.
33. th Pacific Structural Steel Conf., Seoul, Korea, Techno Press, 1211-1216.
34. Yun, C.B. Bahng, E.Y. and Lee, D.G. (1997), " Substructural identification using neural networks" , Proceedings of ICOSSAR '97, The 7th Int. Conf. on Structural Safety and Reliability, Kyoto, Japan, 24-28. 11, 509-512.
35. Wu, X., Ghaboussi, J. and Garrett, J.H. (1992), " Use of neural networks in detection of structural damage" , Comput. Struct. 42(4), 649-659.
36. Zurada, J.M. (1992), Introduction to Artificial Neural Networks, West Publishing Com.