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

URLURL - Source URL, Visit https://doi.org/10.12989/acc.2020.10.3.247 This link opens in a new window

Abstract
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

Language:English
Keywords:residual mechanical properties, compressive strength, artificial neural network, non-destructive testing techniques, fire behavior, concrete
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publication status:Published
Year:2020
Number of pages:Str. 247-256
Numbering:Letn. 10, št. 3
PID:20.500.12556/RUL-121011 This link opens in a new window
UDC:624
ISSN on article:2287-531X
DOI:10.12989/acc.2020.10.3.247 This link opens in a new window
COBISS.SI-ID:29330179 This link opens in a new window
Publication date in RUL:28.09.2020
Views:1962
Downloads:80
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Record is a part of a journal

Title:Advances in concrete construction (Online) =
Shortened title:Adv. concr. constr
Publisher:Techno-Press
ISSN:2287-531X
COBISS.SI-ID:25259779 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:28.09.2020

Secondary language

Language:Slovenian
Keywords:gradbeništvo, mehanske lastnosti, tlačna trdnost, umetne nevronske mreže, beton, požarno obnašanje

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