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The use of artificial neural networks in adiabatic curves modeling
Trtnik, Gregor (Avtor), Kavčič, Franci (Avtor), Turk, Goran (Avtor)

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Izvleček
Adiabatic hydration curves are the most suitable data for temperature calculations in concrete hardening structures. However, it is very difficult to predict the adiabatic hydration curve of an arbitrary concrete mixture. The idea of modeling adiabatic temperature rise during concrete hydration with the use of artificial neural networks was introduced in order to describe the adiabatic hydration of an arbitrary concrete mixture, depending on factors which influence the hydration process of cement in concrete. The influence of these factors was determined by our own experiments. A comparison between experimentally determined adiabatic curves and adiabatic curves, evaluated by proposed numerical model shows that artificial neural networks can be used to predict adiabatic hydration curves effectively. This model can be easily incorporated in the computer programs for prediction of the thermal fields in young concrete structures, implemented in the finite element or finite difference codes. New adiabatic hydration curves with some other initial parameters of the concrete mixture can be easily included in this model in order to expand the range of suitability of artificial neural networks to predict the adiabatic hydration curves. (C) 2008 Elsevier B.V. All rights reserved.

Jezik:Angleški jezik
Ključne besede:sveži beton, adiabatne krivulje, hidratacije betona, eksperimenti, umetne nevronske mreže
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Leto izida:2008
Založnik:Elsevier
Št. strani:str. 10-15
Številčenje:Letn. 18, št. 1
UDK:624.012.4:004
ISSN pri članku:0926-5805
DOI:10.1016/j.autcon.2008.04.001 Povezava se odpre v novem oknu
COBISS.SI-ID:4044385 Povezava se odpre v novem oknu
Število ogledov:335
Število prenosov:91
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
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Gradivo je del revije

Naslov:Automation in construction
Skrajšan naslov:Autom. constr.
Založnik:Elsevier Science Publishers
ISSN:0926-5805
COBISS.SI-ID:14103045 Novo okno

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