Fire analysis of steel frames with the use of artifical neural networks
Hozjan, Tomaž (Author), Turk, Goran (Author), Srpčič, Stane (Author)

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The paper presents an alternative approach to the modelling of the mechanical behaviour of steel frame material when exposed to the high temperatures expected in fires. Based on a series of stress-strain curves obtained experimentally for various temperature levels, an artificial neural network (ANN) is employed in the material modelling of steel. Geometrically and materially, a non-linear analysis of plane frame structures subjected to fire is performed by FEM. The numerical results of a simply supported beam are compared with our measurements, and show a good agreement, although the temperature-displacement curves exhibit rather irregular shapes. It can be concluded that ANN is an efficient tool for modelling the material properties of steel frames in fire engineering design studies. (c) 2007 Elsevier Ltd. All rights reserved.

Keywords:steel beam, fire analysis, artifical neural network, material modelling
Tipology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Number of pages:Str. 1396-1403
Numbering:letn. 63, št. 10
ISSN on article:0143-974X
DOI:10.1016/j.jcsr.2007.01.013 This link opens in a new window
COBISS.SI-ID:3663201 This link opens in a new window
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Record is a part of a journal

Title:Journal of constructional steel research
Shortened title:J. Constr. steel res.
Publisher:Elsevier Science
COBISS.SI-ID:1326341 This link opens in a new window

Secondary language

Keywords:jekleni nosilec, požarna analiza, umetna nevronska mreža, modeliranje materiala

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