A parametric analysis of the patch load behaviour using a neuro-fuzzy system

Journal of Constructional Steel Research

Volumn 63, Issue 2, 2007, Pages 194-210

  Fonseca, Elaine T ^a   de Andrade, Sebastião A L ^a,b   da S Vellasco, Pedro C G ^a   Vellasco, Marley M B R ^a,b  

^a STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

^b PONTIFICAL CATHOLIC UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Fuzzy inference system; Neural networks; Patch load; Steel structures; Structural design and behaviour; Web buckling; Web crippling and yielding

Indexed keywords

BUCKLING; INTELLIGENT ROBOTS; NEURAL NETWORKS; STEEL STRUCTURES; STRUCTURAL ANALYSIS; STRUCTURAL LOADS;

FUZZY INFERENCE SYSTEMS; PATCH LOADS; WEB BUCKLING; WEB CRIPPLING; WEB YIELDING;

STEEL BEAMS AND GIRDERS;

EID: 33750409017     PISSN: 0143974X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jcsr.2006.04.005     Document Type: Article

References (40)

1. Fonseca ET. Comportamento de Vigas de Aço Sujeitas a Cargas Concentradas Através de Técnicas de Inteligência Computacional, D.Sc. thesis. Civil Eng. Dept., PUC-Rio. 2003 [in Portuguese]
2. Fonseca E.T., da S. Vellasco P.C.G., de Andrade S.A.L., Vellasco M.M.B.R.. A neuro-fuzzy system for patch load prediction. In: 7th international conference on the application of artificial intelligence to civil and structural engineering. Egmond aan Zee; 2003 [published in CD-ROM - 18 pages]
3. Fonseca E.T., Vellasco M.M.B.R., da S. Vellasco P.C.G., de Andrade S.A.L., and Pacheco M.A.C. A neural network system for patch load prediction. Journal of Intelligent and Robotic Systems 31 (2001) 185-200
4. Fonseca E.T., da S Vellasco P.C.G., de Andrade S.A.L., and Vellasco M.M.B.R. A patch load parametric analysis using neural networks. Journal of Constructional Steel Research 59 2 (2003) 251-267
5. Fonseca E.T., da S Vellasco P.C.G., de Andrade S.A.L., and Vellasco M.M.B.R. Neural network evaluation of steel beam patch load capacity. Advances in Engineering Software 34 8 (2003) 680-705
6. Lyse I., and Godfrey H.J. Investigation of web buckling in steel beams. ASCE Transactions vol. 100 (1935) 675-695 Paper 1907
7. Bergfelt A. Patch loading on slender web. Influence of horizontal and vertical web stiffeners on the load carrying capacity, Chalmers University of Technology, Publication. S79:1, Goteborg, 1979, p. 1-143
8. CISC. Canadian Institute of Steel Construction. Limit states design of steel structures. CAN/CSA -S16-01; 2001
9. Eurocode 3, ENV-1993-1-1. Design of steel structures (1997), CEN, European Committee for Standardisation [Doc. CEN/TC 250/SC3-N419E]
10. Roberts T.M., and Newark A.C.B. Strength of webs subjected to compressive edge loading. Journal of Structural Engineering, American Society of Civil Engineers 123 2 (1997) 176-183
11. Jang J.R., Sun C.T., and Mizutani E. Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence (1997), Prentice-Hall
12. Haykin S. Neural networks - a comprehensive foundation (1998), Mcmillan College Publishing Co
13. Mendel J.M. Fuzzy logic systems for engineering: A tutorial. Proceedings of the IEEE 83 3 (1995) 345-377
14. Bergfelt A. Girder web stiffening for patch loading. Chalmers University of Technology, Publication s83:1, Goteborg, 1983. p. 1-78
15. Skaloud M., and Drdacky M. Ultimate load design of webs of steel plated structures - Part 3 Webs under concentrated loads. Stavebnícky Casopis 23 C3 (1975) 140-160 [Veda Bratislava]
16. Dubas P, Gheri E. Behaviour of webs under concentrated loads acting between vertical stiffeners. Commission 8.3, ECCS, 1975
17. da S. Vellasco PCG. Local web buckling in tapered composite beams. Ph.D. thesis. London: Imperial College; 1992
18. Kennedy S.J., Kennedy D.J.L., Prabha K.R., and Prowse D. The bearing resistance of webs: A plate post-buckling strength problem (1997), SSRC
19. Fonseca ET, Vellasco MMBR, da S. Vellasco PCG, de Andrade SAL. A neural network evaluation of the patch load phenomenon, EPMESC VII. In: 7th int. conf. on enhancement and promotion of computational methods in engineering. 1999. p. 797-806
20. Bergfelt A, Hovik J. Thin-walled deep plate girders under static loads. In: IABSE congress. Final report. New York. 1968. p. 465-77
21. Bergfelt A. Studies on slender plate girders without intermediate stiffeners: I. shear test results II. web crippling. In: Massonet R, editor. IABSE Coll., Proc. p. 70, (rep. WC, Vol. 11), p. 67-83, London, 1971
22. Skaloud M., and Novak P. Post-buckling behaviour and incremental collapse of webs subjected to concentrated loads (1972), IABSE p. 101-10
23. Bagchi D.K., Rockey K.C.. Post buckling behaviour of a web plate under partial edge loading. In: 3rd int. spec. conf. on cold formed struct., vol. 1. Rolla (MO): University of Missouri; 1975. p. 251-4
24. Drdacky M., and Novotny R. Partial edge load-carrying capacity tests of thick plate girder webs. Acta Tech CSAV 87 5 (1977) 614-620
25. Roberts T.M. Slender plate girders subjected to edge loading. Proceedings of the Institution of Civil Engineers Part 2 71 (1981) 805-819
26. Roberts T.M., and Markovic N. Stocky plate girders subjected to edge loading. Proceedings of the Institution of Civil Engineers Part 2 75 (1983) 539-550
27. Bergfelt A. Girder web stiffening for patch loading. Chalmers Univ. Techn., Div. of Steel and Timber Structures, Publ. s83:1, 1983. p. 1-78
28. Fonseca E.T., Vellasco M.M.B.R., da S. Vellasco P.C.G., de Andrade S.A.L., and Pacheco M.A.C. A unified neural network approach for steel beams patch load capacity. Proceedings of the 6th int. conf. on the application of artificial intelligence to civil and structural engineering (2001), Civil-Comp Press, United Kingdom [Paper 14]
29. Nauck D, Kruse R. A neuro-fuzzy approach to obtain interpretable fuzzy systems for function approximation. In: Proc. of IEEE international conference on fuzzy systems. 1998. p. 1106-111
30. Kruse R, Nauck D. NEFCLASS-A neuro-fuzzy approach for the classification of data. In: Proc. of the ACM symposium on applied computing. 1995
31. Jang J.S.R. ANFIS: Adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics 23 3 (1993) 665-685
32. Finkel R.A., and Bentley J.L. Quad trees, a data structure for retrieval on composite keys. Acta Informatica 4 (1974) 1-9
33. Chin N., and Feiner S. Near real-time shadow generation using BSP trees. Computer graphics (SIGGRAPH '89 Proc.) vol. 23, No. 3 (1989) 99-106
34. Chrysanthou Y., and Slater M. Computing dynamic changes to BSP trees. Comp. Graph. Forum (EUROGRAPHICS '92 Proc.) 11 3 (1992) 321-332
35. Vellasco M.M.B.R., Pacheco M.A.C., Neto L.S.R., and de Souza F.J. Electric load forecasting: Evaluating the novel hierarchical neuro-fuzzy BSP model. International journal of electrical power & energy systems, 0142-0615 vol. 26 (2004), Elsevier Science Ltd, Fevereiro 131-142
36. Gonçalves L.B., Vellasco M.M.B.R., Pacheco M.A.C., and de Souza F.J. Inverted hierarchical neuro-fuzzy BSP system: A novel neuro-fuzzy model for pattern classification and rule extraction in databases. IEEE Transactions on Systems, Man & Cybernetics, Part C (2005) aceito para publicação no
37. Gonçalves LB. Modelos Neuro-fuzzy Hierárquicos BSP para Classificação de Padrões e Extração de Regras Fuzzy em Banco de Dados. M.Sc. dissertation. PUC-Rio: Electrical Eng. Dept.; 2001
38. de Souza F.J., Vellasco M.M.B.R., and Pacheco M.A.C. Load forecasting with the hierarchical neuro-fuzzy binary space partitioning model. International Journal of Computers Systems and Signals, 1608-5655 3 2 (2002) 118-132 International Association for the Advancement of Methods for System Analysis and Design (IAAMSAD), South Africa
39. Fonseca ET, da S. Vellasco PCG, de Andrade SAL, Vellasco MMBR. A neuro-fuzzy evaluation of steel beams patch load behaviour. Advances in Engineering Software. 2005 [submitted for publication]
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