Global Optimum Design of Cold-Formed Steel I-Shape Beams
- 1 May 2000
- journal article
- Published by American Society of Civil Engineers (ASCE) in Practice Periodical on Structural Design and Construction
- Vol. 5 (2) , 78-81
- https://doi.org/10.1061/(asce)1084-0680(2000)5:2(78)
Abstract
Using the computational neural network model developed recently by the writers, a comprehensive parametric study is performed for global optimization of cold-formed steel I-shape beams based on the American Iron and Steel Institute specification. Design curves are presented for global optimum values of the thickness, the web depth-to-thickness ratio, and the flange width-to-thickness ratio.Keywords
This publication has 4 references indexed in Scilit:
- Neurocomputing for Design AutomationPublished by Taylor & Francis ,2018
- Global Optimum Design of Cold-Formed Steel Z-Shape BeamsPractice Periodical on Structural Design and Construction, 1999
- Neural Network Model for Optimization of Cold-Formed Steel BeamsJournal of Structural Engineering, 1997
- A neural dynamics model for structural optimization—TheoryComputers & Structures, 1995