Modeling confinement efficiency of reinforced concrete columns with rectilinear transverse steel using artificial neural networks

Journal of Structural Engineering

Volumn 129, Issue 6, 2003, Pages 775-783

  Tang, Chao Wei ^a   Chen, How Ji ^b   Yen, Tsong ^b  

^a CHENG SHIU UNIVERSITY   (Taiwan)

^b NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Concrete columns; Confinement; Models; Neural networks; Steel

Indexed keywords

ERROR ANALYSIS; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; PARAMETER ESTIMATION; RESIDUAL STRESSES;

CONCENTRIC LOADING; CONCRETE COLUMNS; PARAMETRIC MODELS; RECTILINEAR TRANSVERSE STEEL;

STEEL;

EID: 8144224158     PISSN: 07339445     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9445(2003)129:6(775)     Document Type: Article

References (26)

1. Chen, H. M., Tsai, K. H., Qi, G. Z., Yang, J. C. S., and Amini, F. (1995). "Neural network for structural control." J. Comput. Civ. Eng, 9(2), 168-176.
2. Consolazio, G. R. (2000). "Iterative equation solver for bridge analysis using neural networks." Comput.-Aided Civ. Infrastr. Eng., 15(2), 107-119.
3. Cusson, D., and Paultre, P. (1994). "High-strength concrete columns confined by rectangular ties steel." J. Struct. Eng., 120(3), 783-804.
4. Cusson, D., and Paultre, P. (1995). "Stress-strain model for confined high-strength concrete." J. Struct. Eng., 121(3), 468-477.
5. Dayhoff, J. (1990). Neural networks architecture, Van Nostrand Reinhold, New York.
6. Eldin, N. N., and Senouci, A. B. (1995). "A pavement condition-rating model using back propagation neural networks." Microcomput. Civ. Eng., 10, 433-441.
7. Elkordy, M. F., Chang, K. C., and Lee, G. C. (1993). "Neural networks trained by analytically simulated damage states." J. Comput. Civ. Eng., 7(2), 130-145.
8. Fausset, L. (1994). Fundamental of neural networks, Prentice-Hall, Englewood Cliffs, N.J.
9. Ghaboussi, J., Garrett, J. H., and Wu, X. (1991). "Knowledge-based modeling of material behavior with neural networks. " J. Eng. Mech., 117(1), 132-153.
10. Goh, A. T. C. (1994). "Seismic liquefaction potential assessed by neural networks." J. Geotech. Eng., 120(9), 1467-1480.
11. Goh, A. T. C. (1995). "Neural Networks for evaluating CPT calibration chamber test data." Microcomput. Civ. Eng., 10, 147-151.
12. Hajela, P., and Berke, L. (1991). "Neurobiological computational models in structural analysis and design." Comput. Struct., 41(4), 657-667.
13. Hopfield, J. J. (1982). "Neural network and physical systems with emergent collective computational abilities." Proc., Natl. Acad. Sci. U.S.A., 79, 2554-2558.
14. Juang, C. H., Lu, P. C., and Chen, C. J. (2002). "Predicting geotechnical parameters of sands from CPT measurements using neural networks." Comput.-Aided Civ. Infrastr. Eng., 16(2), 126-142.
15. Mukherjee, A., Deshpande, J. M., and Anmada, J. (1996). "Prediction of buckling load of columns using artificial neural networks." J. Struct. Eng., 122(11), 1385-1387.
16. Murray, S. (1993). Neural networks for statistical modeling, Van Nostrand Reinhold, New York.
17. Park, R., Priestly, M. J. N., and Gill, W. D. (1982). "Ductility of square-confined concrete columns." J. Struct Eng., 108(4), 929-950.
18. Rumelhart, D. E., Hinton, G. E., and Williams, R. J. (1986). "Learning internal representation by error propagation." Parallel distributed processing, Vol. 1, D. E. Rumelhart and J. L. McClelland, eds., MIT Press, Cambridge, Mass., 318-362.
19. Schalkoff, R. J. (1997). Artificial neural networks, McGraw-Hill, Singapore.
20. Sheikh, S. A., and Uzumeri, S. M. (1980). "Strength and ductility of lied concrete columns." J. Struct. Div. ASCE, 106(5), 1079-1102.
21. Sheikh, S. A., and Uzumeri, S. M. (1982). "Analytical model for concrete confinement in tied columns." J. Struct. Div. ASCE, 108(12), 2703-2722.
22. Welstead, S. T. (1994). Neural network and fuzzy logic applications in C/C++, Wiley, New York.
23. Yen, I. C. (1997). Application of neural network, The Ru-Lin Companies, Inc., Taipei (in Chinese).
24. Yeh, I. C. (1999). "Design of high-performance concrete mixture using neural networks and nonlinear programing." J. Comput. Civ. Eng., 13(1), 36-42.
25. Yong, Y. K., Nour, M. G., and Nawy, E. G. (1988). "Behavior of laterally confined high-strength concrete under axial loads." J. Struct. Eng., 114(2), 332-351.
26. Zhao, Z., and Ren, L. (2002). "Failure criterion of concrete under triaxial stresses using neural networks." Comput-Aided Civ. Infrastr. Eng., 17(1), 68-73.