Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concrete-Reference-Cited by-同舟云学术

Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concrete

Published:2020-06 Issue: Volume:151 Page:106720
ISSN:0263-8231
Container-title:Thin-Walled Structures
language:en
Short-container-title:Thin-Walled Structures

Author:

Tran Viet-Linh,Thai Duc-Kien,Nguyen Duy-Duan

Publisher

Elsevier BV

Subject

Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference58 articles.

1. Developments and advanced applications of concrete-filled steel tubular (CFST) structures: Members;Han;J. Constr. Steel Res.,2014

2. Analytical model of circular CFRP confined concrete-filled steel tubular columns under axial compression;Choi;J. Compos. Construct.,2009

3. Design and construction of concrete-filled steel tube column system in Japan;Morino;Earthquak. Eng. Eng. Seismol.,2003

4. Research on the bearing capacity of recycled aggregate concrete-filled circle steel tube column under axial compression loading;Chen,2010

5. FRP-confined circular concrete-filled thin steel tubes under axial compression;Hu;J. Compos. Construct.,2011

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