Assessment of load carrying capacity of castellated steel beams by neural networks

Journal of Constructional Steel Research

Volumn 67, Issue 5, 2011, Pages 770-779

  Gholizadeh, Saeed ^a   Pirmoz, Akbar ^b   Attarnejad, Reza ^b  

^a URMIA UNIVERSITY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Adaptive neuro fuzzy inference system; Back propagation; Castellated steel beams; Neural network; Web post buckling

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; BACK-PROPAGATION NEURAL NETWORKS; BP NETWORKS; BUCKLING CRITICAL LOAD; CASTELLATED STEEL BEAMS; COMPUTATIONAL BURDEN; EMPIRICAL EQUATIONS; FE ANALYSIS; LOAD CARRYING CAPACITIES; NEURAL NETWORK MODEL; NON-LINEAR FINITE ELEMENTS; NON-LINEAR FINITE-ELEMENT ANALYSIS; NUMERICAL RESULTS; PARAMETRIC STUDY; POSTBUCKLING; SIMPLY SUPPORTED; STEEL BEAMS; WEB-POST BUCKLING;

BACKPROPAGATION; BUCKLING; FINITE ELEMENT METHOD; FUZZY INFERENCE; FUZZY SYSTEMS; LOAD LIMITS; NONLINEAR EQUATIONS; STEEL BEAMS AND GIRDERS;

NEURAL NETWORKS;

EID: 79951856334     PISSN: 0143974X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jcsr.2011.01.001     Document Type: Article

References (26)

1. D. Kerdal, and D.A. Nethercot Failure modes for castellated beams Journal of Constructional Steel Research 4 1984 295 315
2. W. Zaarour, and R. Redwood Web buckling in thin castellated beams Journal of Structural Engineering ASCE 122 1996 860 866 (Pubitemid 126591477)
3. R. Redwood, and S. Demirdjian Castellated beam web buckling in shear Journal of Structural Engineering ASCE 124 1998 1202 1207 (Pubitemid 128448119)
4. A. Mohebkhah The moment-gradient factor in lateraltorsional buckling on inelastic castellated beams Journal of Constructional Steel Research 60 2004 1481 1494 (Pubitemid 38763507)
5. D.A. Nethercot, and D. Kerdal Lateraltorsional buckling of castellated beams The Structural Engineer, London 60B 3 1982 53 61
6. American Institute of Steel Construction (AISC). Load and resistance factor design specification for structural steel buildings. Chicago (IL): AISC; 1999.
7. H. Adeli, and S.L. Hung Machine learning: neural networks, genetic algorithms, and fuzzy systems 1995 Wiley New York
8. S. Gholizadeh, E. Salajegheh, and P. Torkzadeh Structural optimization with frequency constraints by genetic algorithm using wavelet radial basis function neural networks Journal of Sound and Vibration 312 2008 316 331 (Pubitemid 351240930)
9. S. Gholizadeh, and E. Salajegheh Optimal design of structures for time history loading by Swarm intelligence and an advanced metamodel Computer Methods in Applied Mechanics and Engineering 198 2009 2936 2949
10. S. Gholizadeh, J. Salajegheh, and E. Salajegheh An intelligent neural system for predicting structural response subject to earthquakes Advances in Engineering Software 40 2009 630 639
11. S. Gholizadeh, and E. Salajegheh Optimal seismic design of steel structures by an efficient soft computing based algorithm Journal of Constructional Steel Research 66 2010 85 95
12. I.H. Guzelbey, A. Cevikb, and M.T. Gogus Prediction of rotation capacity of wide flange beams using neural networks Journal of Constructional Steel Research 62 2006 950 961 (Pubitemid 44107494)
13. E.T. Fonseca, P.C.G. da S Vellasco, S.A.L. de Andrade, and M.M.B.R. Vellasco Neural network evaluation of steel beam patch load capacity Advances in Engineering Software 34 2003 763 772
14. E.T. Fonseca, P.C.G. da S Vellasco, M.M.B.R. Vellasco, and S.A.L. de Andrade A neuro-fuzzy evaluation of steel beams patch load behaviour Advances in Engineering Software 39 2008 558 572 (Pubitemid 351375084)
15. J.S.R. Jang ANFIS: adaptive-network-based fuzzy inference systems IEEE Transactions on Systems, Man and Cybernetics 23 1993 665 685
16. J.Y. Fu, Q.S. Li, and Z.N. Xie Prediction of wind loads on a large flat roof using fuzzy neural networks Engineering Structures 28 2006 153 161 (Pubitemid 41614114)
17. I.E. Topcu, and M. Sardemir Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic Computational Materials Science 41 2008 305 311
18. I.E. Topcu, and M. Sardemir Prediction of rubberized concrete properties using artificial neural network and fuzzy logic Construction and Building Materials 22 2008 532 540
19. Omer W. Blodgett Design of welded structures 1966 James F Lincoln Arc Welding Foundation
20. M.T. Hagan, H.B. Demuth, and M.H. Beal Neural network design 1996 PWS Publishing Company Boston
21. M.T. Hagan, and M. Menhaj Training feed-forward networks with the Marquardt algorithm IEEE Transactions on Neural Networks 5 1999 989 993
22. D.E. Rumelhart, G.E. Hinton, and R.J. Williams Learning representations by back-propagating errors Nature 323 1986 533 536 (Pubitemid 16025374)
23. M.T. Hagan, H.B. Demuth, and M.H. Beale Neural network design 1997 PWS Publishing Co Boston, MA
24. Y.M. Wang, and T. Elhag An adaptive neuro-fuzzy inference system for bridge risk assessment Expert Systems with Applications 34 2008 3099 3106 (Pubitemid 351173813)
25. M. Sugeno Industrial applications of fuzzy control 1985 Elsevier Science Pub Co
26. J.S.R. Jang ANFIS: adaptive-network-based fuzzy inference systems IEEE Transactions on Systems, Man and Cybernetics 23 1993 665 685