Neural Network Prognostic Model for Predicting the Fire Resistance of Eccentrically Loaded RC Columns-Reference-Cited by-同舟云学术

Neural Network Prognostic Model for Predicting the Fire Resistance of Eccentrically Loaded RC Columns

Published:2014-09 Issue: Volume:627 Page:276-282
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Lazarevska Marijana¹,Cvetkovska Meri¹,Knežević Miloš²,Trombeva Gavriloska Ana³,Milanovic Milivoje³,Murgul Vera⁴,Vatin Nikolay⁴

Affiliation:

1. Ss. Cyril and Methodius University in Skopje

2. University of Podgorica

3. State University of Novi Pazar

4. Donbas National Academy of Civil Engineering and Architecture

Abstract

Using the concept of the artificial neural networks and the results of the performed numerical analyses as input parameters, the prediction model for defining the fire resistance of RC columns incorporated in walls and exposed to standard fire from one side, has been made. A short description of the numerical analyses of columns exposed to standard fire ISO 834, conducted by the computer software FIRE are presented in this paper. The software is capable of predicting the nonlinear response of reinforced concrete elements and plane frame structures subjected to fire loading, carrying out the nonlinear transient heat flow analysis and nonlinear stress-strain response associated with fire.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.627.276.pdf

Reference16 articles.

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