Optimum design of Tension Steel Members L-Section by using Artificial Neural Networks

Authors

  • Raneem Alwafaei Tishreen University

Keywords:

: nonlinear programming , Tension steel sections , Artificial Neural Network .

Abstract

 

This search this will study how to design steel tension members L-section by using Artificial Neural Networks , where Artificial Neural Networks technology was used in one of the structural design cases , which is design the L-shaped steel sections that are subject to tension in accordance with the European code and  to give the minimum cost of the member (the most efficient).

In our search 132 samples were taken for use in Artificial Neural Network design , the network has been trained on them , tasted and ensuring their effectiveness in finding the optimal format .

The designed Network model was able to predict the most cost effective design variables namely width (b) and thickness (t) of the required section , with precision in design to meet all limitations.

A comparison of the results showed the effectiveness of this technique with the saving in the required section cost .

Author Biography

Raneem Alwafaei, Tishreen University

Academic Assistant, Department of Structural Engineering, Faculty of Civil Engineering,

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Published

2021-11-07

How to Cite

1.
الوفائي ر. Optimum design of Tension Steel Members L-Section by using Artificial Neural Networks. Tuj-eng [Internet]. 2021Nov.7 [cited 2024Apr.19];43(5). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/11041

Issue

Vol. 43 No. 5 (2021): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Articles

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Copyright (c) 2021 ttps://creativecommons.org/licenses/by-nc-sa/4.0/

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