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

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PID: 20.500.12556/rul/9baa406c-2a5d-4f92-9fd3-d01cf5f432c6

Izvleček
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.

Jezik:Angleški jezik
Ključne besede:steel beam, fire analysis, artifical neural network, material modelling
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Založnik:Elsevier
Leto izida:2007
Št. strani:Str. 1396-1403
Številčenje:letn. 63, št. 10
PID:20.500.12556/RUL-32114 Povezava se odpre v novem oknu
UDK:624.072.2:624.014.2
ISSN pri članku:0143-974X
DOI:10.1016/j.jcsr.2007.01.013 Povezava se odpre v novem oknu
COBISS.SI-ID:3663201 Povezava se odpre v novem oknu
Datum objave v RUL:10.07.2015
Število ogledov:2565
Število prenosov:771
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Gradivo je del revije

Naslov:Journal of constructional steel research
Skrajšan naslov:J. Constr. steel res.
Založnik:Elsevier Science
ISSN:0143-974X
COBISS.SI-ID:1326341 Povezava se odpre v novem oknu

Sekundarni jezik

Jezik:Angleški jezik
Ključne besede:jekleni nosilec, požarna analiza, umetna nevronska mreža, modeliranje materiala

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