Neural Network Model for Optimization of Cold-Formed Steel Beams
Publication: Journal of Structural Engineering
Volume 123, Issue 11
Abstract
An important advantage of cold-formed steel is the greater flexibility of cross-sectional shapes and sizes available to the structural steel designer. However, the lack of standard optimized shapes makes the selection of the most economical shape very difficult if not impossible. This task is further complicated by the complex and highly nonlinear nature of the rules that govern their design. A general mathematical formulation and computational model is presented for optimization of cold-formed steel beams. The nonlinear optimization problem is solved by adapting the robust neural dynamics model of Adeli and Park, patented recently at the U.S. Patent Office. The basis of the design can be American Iron and Steel Institute (AISI) allowable stress design (ASD) or load and resistance factor design (LRFD) specifications. The computational model has been applied to three different commonly used types of cross-sectional shapes: hat-, I-, and Z-shapes. The robustness and generality of the approach have been demonstrated by application to three different examples. This research lays the mathematical foundation for automated optimum design of structures made of cold-formed shapes. The result would be more economical use of cold-formed steel.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Adeli, H., and Kao, W. M. (1996). “Object-oriented blackboard models for integrated design of steel structures.”Comp. and Struct. 61(3), 545–561.
2.
Adeli, H., and Park, H. S.(1995). “A neural dynamics model for structural optimization—theory.”Comp. and Struct., 57(1), 383–390.
3.
Adeli, H., and Park, H. S.(1996a). “Hybrid CPN-neural dynamics model for discrete optimization of steel structures.”Microcomputers in Civ. Engrg., 11(5), 355–366.
4.
Adeli, H., and Park, H. S. (1996b). “Fully automated design of super-high-rise buildings structures by a hybrid AI model on a massively parallel machine.”AI Magazine, Fall Issue, 87–93.
5.
Adeli, H., and Yu, G.(1993). “An object-oriented data management model for numerical analysis in computer-aided engineering.”Microcomputers in Civ. Engrg., 8(3), 199–209.
6.
American Institute of Steel Construction. (1989). Manual of steel construction—allowable stress design, 9th Ed., American Institute of Steel Construction, Chicago, Ill.
7.
American Institute of Steel Construction. (1994). Manual of steel construction—load and resistance factor design—volume I—structural members, specifications, and codes, 2nd Ed., American Institute of Steel Construction, Chicago, Ill.
8.
American Iron and Steel Institute. (1968). Specification for the design of cold-formed steel structural members. American Iron and Steel Institute, Washington, D.C.
9.
American Iron and Steel Institute. (1989). Specification for the design of cold-formed steel structural members, 1986 Ed. with 1989 Addendum, American Iron and Steel Institute, Washington, D.C.
10.
American Iron and Steel Institute. (1991). Load and resistance factor design specification for cold-formed steel structural members. American Iron and Steel Institute, Washington, D.C.
11.
Kolk, W. R., and Lerman, R. A. (1992). Nonlinear system dynamics. Van Nostrand Reinhold, New York, N.Y.
12.
Park, H. S., and Adeli, H.(1995). “A neural dynamics model for structural optimization—application to plastic design of structures.”Comp. and Struct., 57(1), 391–400.
13.
Seaburg, P. A., and Salmon, C. G.(1971). “Minimum weight design of light gage steel members.”J. Struct. Div., ASCE, 97(1), 203–222.
14.
Yu, W.-W. (1991). Cold-formed steel design. John Wiley & Sons, Inc., New York, N.Y.
Information & Authors
Information
Published In
Copyright
Copyright © 1997 American Society of Civil Engineers.
History
Published online: Nov 1, 1997
Published in print: Nov 1997
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.