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

Povzetek

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

Ključne besede

mladi beton;adiabatna kalorimetrija;adiabatne krivulje;umetne nevronske mreže;zrelost;metoda končnih elementov;young concrete;adiabatic calorimetry;adiabatic hydration curves;artificial neural networks;maturity;finite element method;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
Založnik: Elsevier
UDK: 624.012.4
COBISS: 4576353 Povezava se bo odprla v novem oknu
ISSN: 0926-5805
Št. ogledov: 2245
Št. prenosov: 1047
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarne ključne besede: mladi beton;adiabatna kalorimetrija;adiabatne krivulje;umetne nevronske mreže;zrelost;metoda končnih elementov;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 849-855
Letnik: ǂLetn. ǂ18
Zvezek: ǂšt. ǂ6
Čas izdaje: 2009
DOI: 10.1016/j.autcon.2009.03.009
ID: 8312271