| contributor author | Asim Karim | |
| contributor author | Hojjat Adeli | |
| date accessioned | 2017-05-08T21:22:35Z | |
| date available | 2017-05-08T21:22:35Z | |
| date copyright | May 2000 | |
| date issued | 2000 | |
| identifier other | %28asce%291084-0680%282000%295%3A2%2878%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/48988 | |
| description 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. | |
| publisher | American Society of Civil Engineers | |
| title | Global Optimum Design of Cold-Formed Steel I-Shape Beams | |
| type | Journal Paper | |
| journal volume | 5 | |
| journal issue | 2 | |
| journal title | Practice Periodical on Structural Design and Construction | |
| identifier doi | 10.1061/(ASCE)1084-0680(2000)5:2(78) | |
| tree | Practice Periodical on Structural Design and Construction:;2000:;Volume ( 005 ):;issue: 002 | |
| contenttype | Fulltext | |
