Fire analysis of steel frames with the use of artifical neural networks

Hozjan, Tomaž (avtor), Turk, Goran (avtor), Srpčič, Stane (avtor)

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
• UDK: 624.072.2:624.014.2
• ISSN pri članku: 0143-974X
• DOI: 10.1016/j.jcsr.2007.01.013
• COBISS.SI-ID: 3663201
• Datum objave v RUL: 10.07.2015

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

Sekundarni jezik

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