Bending moment prediction for continuous composite beams by neural networks

Advances in Structural Engineering

Volumn 10, Issue 4, 2007, Pages 439-454

  Chaudhary, Sandeep ^a   Pendharkar, Umesh ^b   Nagpal, Ashok Kumar ^b  

^a MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Composite frame; Concrete cracking; Continuous composite beam; Neural networks

Indexed keywords

BENDING (DEFORMATION); CRACK INITIATION; NEURAL NETWORKS; STRUCTURAL FRAMES;

COMPOSITE FRAME; CONCRETE CRACKING; CONTINUOUS COMPOSITE BEAM; INELASTIC BENDING MOMENTS;

COMPOSITE BEAMS AND GIRDERS;

EID: 37649025062     PISSN: 13694332     EISSN: None     Source Type: Journal    
DOI: 10.1260/136943307783239390     Document Type: Article

References (29)

1. Bradford, M.A., Manh, H.V. and Gilbert, R.I. (2002). "Numerical analysis of continuous composite beams at service loading", Advances in Structural Engineering, Vol. 5, No. 1, pp. 1-12.
2. CEB-FIP Model Code 1990 (1993). Bulletin d'information No. 213/214, Laussane (Switzerland).
3. Feng, Q.M., Kim, D.K., Yi, J.H. and Chen, Y. (2004). "Baseline models for bridge performance monitoring", Journal of Engineering Mechanics, ASCE, Vol. 130, No. 5, pp. 562-569.
4. Ghali, A., Favre, R. and Elbadry, M. (2002). Concrete Structures: Stresses and Deformations, 3rd Ed., Spon Press, London.
5. Gilbert, R.J. and Bradford, M.A. (1995). "Time-dependent behavior of composite beams at service loads". Journal of Structural Engineering, ASCE, Vol. 121, No. 2, pp. 319-327.
6. Hadi, M.N.S. (2003). "Neural network applications in concrete structures", Computers and Structures, VoL 81, No. 6, pp. 373-381.
7. Hajela, P. and Berke, L. (1991). "Neurobiological computational models in structural analysis and design", Computers and Structures, Vol. 41, No. 4, pp. 657-667.
8. Hajela, P. and Berke, L. (1992). "Neural networks in engineering analysis and design". Computing Systems in Engineering, Vol. 3, No. 1, pp. 525-538.
9. Hsu, D.S., Yen, I.C. and Lian, W.T. (1993). "Artificia! neural damage detection of existing structure", Proceedings of 3rd ROC and Japan Seminar on Natural Hazards Mitigation, Tainan, pp. 423-436
10. Jeng, C.H. and Mo, Y.L. (2004). "Quick seismic response estimation of prestressed concrete bridges using artificial neural networks", Journal of Computing in Civil Engineering, ASCE, Vol. 18, No. 4, pp. 360-369.
11. Jenkins, W.M. (2002). "Structural reanalysis using a neural network-based iterative method". Journal of Structural Engineering, ASCE, Vol. 128, No. 7, pp. 946-950.
12. Jiang, S.F., Zhang, C.M. and Koh, C.G. (2006). "Structural damage detection by integrating data fusion and probabilistic neural network", Advances in Structural Engineering, VoL 9, No. 4, pp. 445-458.
13. Kawamura, K., Miyamoto, A., Frangopol, D.M. and Riyuichi, K. (2003). "Performance evaluation of concrete slabs of existing bridges using neural networks", Engineering Structures, Vol. 25, No. 12, pp. 1455-1477.
14. Kawamura, K., Miyamoto, A., Frangopol, D.M. and Abe, M. (2004). "Performance evaluation system for main reinforced concrete girders of existing bridges", Transportation Research Record, pp. 67-78.
15. Kim, J.I., Kim, D.K., Feng, M.Q. and Yazdani, F. (2004). "Application of neural networks for estimation of concrete strength". Journal of Materials in Civil Engineering, ASCE, Vol. 16, No. 3, pp. 257-264.
16. Kim, D.K., Lee, J.J., Lee. J.H. and Chang, S.K. (2005). "Application of probabilistic neural networks for prediction of concrete strength". Journal of Materials in Civil Engineering, ASCE, Vol. 17, No. 3, pp. 353-362.
17. Lee, S.C. (2003). "Prediction of concrete strength using artificial neural networks", Engineering Structures, Vol. 25, No. 7, pp. 849-857.
18. Lee, J.J., Lee, J.W., Yi, J.H., Yun, C.B. and Jung, H.Y. (2005). "Neural network-based damage detection for bridges considering errors in baseline finite element models", Journal of Sound and Vibration, Vol. 280, pp. 555-578.
19. Maru, S. and Nagpal, A.K. (2004). "Neural network for creep and shrinkage deflections in reinforced concrete frames", Journal of Computing in Civil Engineering, ASCE, Vol. 18, No. 4, pp. 350-359.
20. Mo, Y.L. and Lin, S.S. (1994). "Investigation of framed shearwall behavior with neural networks", Magazine of Concrete Research, Vol. 46, No. 169, pp. 289-300.
21. Mo, Y.L. and Han, R.H. (1995). "Investigation of prestressed concrete frame behavior with neural networks", Journal of Intelligent Material Systems and Structures, Vol. 6, pp. 566-573.
22. Mo, Y.L. and Koan, K.J. (1998). "Investigation of welding effect on rebars using neural networks", Journal of Testing and Evaluation, ASTM, Vol. 26, No. 3, pp. 285-292.
23. Mo, Y.L., Hung, H.Y. and Zhong, J. (2002). "Investigation of stress-strain relationship of confined concrete in hollow bridge columns using neural networks". Journal of Testing and Evaluation, ASTM, Vol. 30, No. 4, pp. 330-339.
24. Oreta, A.W.C. and Kawashima, K. (2003). "Neural network modeling of confined compressive strength and strain of circular concrete columns", Journal of Structural Engineering, ASCE, Vol. 129, No. 4, pp. 554-561.
25. Oreta, A.W.C (2004). "Simulating size effect on shear strength design of RC beams without stirrups using neural networks", Engineering Structures, Vol. 26, No. 5, pp. 681-691.
26. Sakla, S.S.S. (2004). "Neural network modeling of the load-carrying capacity of eccentrically- loaded single-angle struts". Journal of Constructional Steel Research, Vol. 60, No. 7, pp. 965-987.
27. University of Stuttgart IPVR (1998). Sttutgart Neural Network Simulator (SNNS) User Manual, Version 4.2., http://www-ra.informatik.uni. tuebingen.dd/SNNS/ (July 5, 2003)
28. Sirca, G.F. and Adeli, H. (2004). "Counterpropagation neural network model for steel girder bridge structures", Journal of Bridge Engineering, ASCE, Vol. 9, No. 1, pp. 55-65.
29. Yeung, W.T. and Smith, J.W. (2005). "Damage detection in bridges using neural networks for pattern recognition of vibration signatures", Engineering Structures, Vol. 27, No. 5, pp. 685-698.