Analysis of Steel-Encased Composite Columns Subjected to Concentric Axial Load Using Artificial Neural Networks

被引：0
|
作者：
Martinez-Ramos, Oscar [1 ]
Hernandez-Figueirido, David [1 ]
Piquer, Ana [1 ]
机构：
[1] Univ Jaume 1, Mech Engn & Construct Dept, Castellon de La Plana, Spain
来源：
WORLD CONGRESS ON ENGINEERING, WCE 2015, VOL I | 2015年
关键词：
AISC360; Composite Columns; Eurocode; 4; Neural Networks; SRC; Steel Reinforced Concrete;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Composite steel-concrete members offer the advantages of the best properties of each material. Different structural design codes have appeared around the world, but Eurocode 4 and AISC360 are the reference guides. In this paper, an experimental database on Steel Reinforced Concrete columns has been compiled and accuracy on predictions from both codes has been checked. Based on Artificial Neural Networks, new expressions for predicting the ultimate load of compact and slender Steel Reinforced Concrete columns have been developed.
引用
收藏
页码：279 / 284
页数：6
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