Estimation of aeroelastic parameters of bridge decks using neural networks

Journal of Engineering Mechanics

Volumn 130, Issue 11, 2004, Pages 1356-1364

  Jung, Sungmoon ^a   Ghaboussi, Jamshid ^a   Kwon, Soon Duck ^b  

^a University of Illinois at Urbana Champaign   (United States)

^b Chonbuk National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

AERODYNAMICS; APPROXIMATION THEORY; COMPUTATIONAL FLUID DYNAMICS; ELASTICITY; NEURAL NETWORKS; NUMERICAL ANALYSIS; STRUCTURAL ANALYSIS; WIND POWER;

FLUTTER DERIVATIVES; TRAINING SETS;

BRIDGE DECKS;

BRIDGE; CIVIL ENGINEERING;

EID: 10244261599     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9399(2004)130:11(1356)     Document Type: Article

References (20)

1. Bellman, R. (1961). Adaptive control process: A guided tour, Princeton University Press, Princeton, N.J.
2. Bishop, C. M. (1995). Neural networks for pattern recognition, Oxford University Press, New York.
3. Cybenko, G. (1989). "Approximation by superpositions of a sigmoidal function." Math. Control. Signals, Syst., 2, 303-314.
4. Ghaboussi, J. (2001). "Biologically inspired soft computing methods in structural mechanics and engineering." Struct. Eng. Mech., 11(5), 485-502.
5. Ghaboussi, J., and Lin, C.-C. J. (1998). "New method of generating spectrum compatible accelerograms using neural networks." Earthquake Eng. Struct. Dyn., 27, 377-396.
6. Ghaboussi, J., Pecknold, D. A., Zhang, M., and Haj-Ali, R. M. (1998). "Autoprogressive training of neural network constitutive models." Int. J. Numer. Methods Eng., 42(1), 105-126.
7. Ghaboussi, J., and Sidarta, D. E. (1998). "New nested adaptive neural networks (NANN) for constitutive modeling." Comput. Geotech., 22(1), 29-52.
8. Hecht-Nielsen, R. (1989). "Theory of the back-propagation neural network." Proc., Int. Joint Conf. Neural Networks, 1, 593-605.
9. Hertz, J., Krogh, A., and Palmer, R. G. (1991). Introduction to the theory of neural computation, Perseus, Cambridge, Mass.
10. Jeong, U.-Y., and Kwon, S.-D. (2000). "Prediction of flutter velocity using computational fluid dynamics." 3rd Int. Symposium on Computational Wind Engineering, Birmingham, U.K.
11. Larsen, A., and Walther, J. H. (1997). "Aeroelastic analysis of bridge girder sections based on discrete vortex simulations." J. Wind. Eng. Ind. Aerodyn., 67&68, 253-265.
12. Matsumoto, M., Kobayashi, Y., and Shirato, H. (1996). "The influence of aerodynamic derivatives on flutter." J. Wind. Eng. Ind. Aerodyn., 60, 227-239.
13. Matsumoto, M., Yoshizumim, F., Yabutani, T., Abe, K., and Nakajima, N. (1999). "Flutter stabilization and heaving-branch flutter." J. Wind. Eng. Ind. Aerodyn., 83, 289-299.
14. Reed, R. D., and Marks, R. J. (1999). Neural smithing, MIT Press, Cambridge, Mass.
15. Riedmiller, M., and Braun, H. (1993). "A direct adaptive method for faster backpropagation learning: The RPROP algorithm." 1993 IEEE Int. Conf. on Neural Networks, 1, IEEE, New York, 586-591.
16. Scanlan, R. H., and Tomko, J. J. (1971). "Airfoil and bridge deck flutter derivatives." J. Eng. Mech., 97(6), 1717-1737.
17. Shimada, K., Wakahara, T., and Satoh, H. (2001). "Prediction of unsteady wind force acting on the separated box girder cross-section." The Fifth Asia-Pacific Conf. on Wind Engineering, Kyoto, Japan.
18. Shirai, S., and Ueda, T. (2001). "Aerodynamic simulation by CFD on flat box girder of super-long span suspension bridge." The Fifth Asia-Pacific Conf. on Wind Engineering, Kyoto, Japan.
19. Simiu, E., and Scanlan, R. H. (1996). Wind effects on structures, 3rd Ed., Wiley, New York.
20. Theodorsen, T. (1935). "General theory of aerodynamic instability and the mechanism of flutter." NACA Rep. No. 496.