Prediction of mechanical properties of limestone concrete after high temperature exposure with artificial neural networks

Blumauer, Urška (avtor), Hozjan, Tomaž (avtor), Trtnik, Gregor (avtor)

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
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FGG - Fakulteta za gradbeništvo in geodezijo
• Status publikacije: Objavljeno
• Leto izida: 2020
• Št. strani: Str. 247-256
• Številčenje: Letn. 10, št. 3
• PID: 20.500.12556/RUL-121011
• UDK: 624
• ISSN pri članku: 2287-531X
• DOI: 10.12989/acc.2020.10.3.247
• COBISS.SI-ID: 29330179
• Datum objave v RUL: 28.09.2020

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

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