Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load-Reference-Cited by-同舟云学术

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Utilization of artificial neural networks to prediction of the capacity of CCFT short columns subject to short term axial load

Published:2014-05 Issue:3 Volume:14 Page:510-517
ISSN:1644-9665
Container-title:Archives of Civil and Mechanical Engineering
language:en
Short-container-title:Archives of Civil and Mechanical Engineering

Author:

Ahmadi M.,Naderpour H.,Kheyroddin A.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference33 articles.

1. Experimental study on steel tubular column in-filled with plain and steel fiber reinforced concrete;Tokgoz;Thin-Walled Structures,2010

2. Structural behavior of concrete filled steel tubes;Gardner;Journal of American Concrete Institute,1967

3. Design of circular thin-walled concrete-filled steel tubes;O'Shea;Journal of Structural Engineering-ASCE,2000

4. Axial capacity of circular concrete-filled tube columns;Giakoumelis;Constructional Steel Research,2004

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