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Prediction of mechanical properties of limestone concrete after high temperature exposure with artificial neural networks
ID Blumauer, Urška (Avtor), ID Hozjan, Tomaž (Avtor), ID Trtnik, Gregor (Avtor)

URLURL - Izvorni URL, za dostop obiščite https://doi.org/10.12989/acc.2020.10.3.247 Povezava se odpre v novem oknu

Izvleček
In this paper the possibility of using different regression models to predict the mechanical properties of limestone concrete after exposure to high temperatures, based on the results of non-destructive techniques, that could be easily used in-situ, is discussed. Extensive experimental work was carried out on limestone concrete mixtures, that differed in the water to cement (w/c) ratio, the type of cement and the quantity of superplasticizer added. After standard curing, the specimens were exposed to various high temperature levels, i.e., 200%, 400%, 600% or 800%. Before heating, the reference mechanical properties of the concrete were determined at ambient temperature. After the heating process, the specimens were cooled naturally to ambient temperature and tested using non-destructive techniques. Among the mechanical properties of the specimens after heating, known also as the residual mechanical properties, the residual modulus of elasticity, compressive and flexural strengths were determined. The results show that residual modulus of elasticity, compressive and flexural strengths can be reliably predicted using an artificial neural network approach based on ultrasonic pulse velocity, residual surface strength, some mixture parameters and maximal temperature reached in concrete during heating

Jezik:Angleški jezik
Ključne besede:residual mechanical properties, compressive strength, artificial neural network, non-destructive testing techniques, fire behavior, concrete
Vrsta gradiva:Znanstveno delo (r2)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FGG - Fakulteta za gradbeništvo in geodezijo
Leto izida:2020
Status objave pri reviji:Objavljeno
Št. strani:Str. 247-256
Številčenje:Letn. 10, št. 3
PID:20.500.12556/RUL-121011 Povezava se odpre v novem oknu
UDK:624
ISSN pri članku:2287-531X
DOI:10.12989/acc.2020.10.3.247 Povezava se odpre v novem oknu
COBISS.SI-ID:29330179 Povezava se odpre v novem oknu
Datum objave v RUL:28.09.2020
Število ogledov:460
Število prenosov:56
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Gradivo je del revije

Naslov:Advances in concrete construction (Online) =
Skrajšan naslov:Adv. concr. constr
Založnik:Techno-Press
ISSN:2287-531X
COBISS.SI-ID:25259779 Povezava se odpre v novem oknu

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:28.09.2020

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:gradbeništvo, mehanske lastnosti, tlačna trdnost, umetne nevronske mreže, beton, požarno obnašanje

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