The property study of concrete-filled steel rib and tube column based on artificial neural networks

被引：0

作者：

Liu, Jianming ^{[1
]}

Li, Huijian ^{[1
]}

He, Changjun ^{[1
]}

机构：

[1] Department of Engineering Mechanics, Yanshan University, No. 438, Hebei Ave, Qinhuangdao 066004, China

来源：

ICIC Express Letters | 2011年 / 5卷 / 9 B期

关键词：

Concretes - Tubular steel structures - Tubes (components);

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, a new style of concrete-filled steel rib and tube column was made and though a series of nonlinear full-range numerical calculation, some important factors were analyzed, such as the strength of the core concrete, the steel tube and the angle steel, the volume ratio of the steel tube and the angle steel, position coefficient. RBFNNs were employed for calculating the strength of the concrete-filled steel rib and tube column, and the prediction results were compared with theoretical formula calculation results. The maximum and minimum error ratio of prediction were 12.56% and 4.62%, respectively. © 2011 ISSN 1881-803X.

引用

页码：3471 / 3476

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