New numerical procedure for the prediction of temperature development in early age concrete structures

Ilc, Anka (avtor), Turk, Goran (avtor), Kavčič, Franci (avtor), Trtnik, Gregor (avtor)

A new numerical model for the prediction of temperature development in young concrete structures is briefly presented. With the pre-program. adiabatic hydration curves, which are used to determine the internal heat generation, are calculated. An artificial neural networks approach is used for this purpose. Adiabatic hydration curves, which were included in the learning set, were determined by our own experiments, using the adiabatic calorimeter which uses air as the coupling media. The main program is implemented in the finite element code. This program allows concrete structure designers and contractors to quantify and evaluate the effects of some concrete initial parameters on the adiabatic hydration curves and corresponding temperature development at an arbitrary point in the concrete element. Some examples are also presented and discussed. (C) 2009 Elsevier B.V. All rights reserved

• Jezik: Angleški jezik
• Ključne besede: young concrete, adiabatic calorimetry, adiabatic hydration curves, artificial neural networks, maturity, finite element method
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo
• Založnik: Elsevier
• Leto izida: 2009
• Št. strani: Str. 849-855
• Številčenje: Letn. 18, št. 6
• PID: 20.500.12556/RUL-32108
• UDK: 624.012.4
• ISSN pri članku: 0926-5805
• DOI: 10.1016/j.autcon.2009.03.009
• COBISS.SI-ID: 4576353
• Datum objave v RUL: 10.07.2015

Gradivo je del revije

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

Sekundarni jezik

• Jezik: Angleški jezik
• Ključne besede: mladi beton, adiabatna kalorimetrija, adiabatne krivulje, umetne nevronske mreže, zrelost, metoda končnih elementov