Prediction models for high-volume fly ash concrete practical application: Mechanical properties and experimental database
Autor: | Jelena Dragaš, Vlastimir Radonjanin, Snežana Marinković |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0211 other engineering and technologies
020101 civil engineering Young's modulus 02 engineering and technology computer.software_genre 0201 civil engineering symbols.namesake high-volume fly ash concrete 021105 building & construction Ultimate tensile strength database Cement Database modulus of elasticity General Medicine Engineering (General). Civil engineering (General) compressive strength Compressive strength Volume (thermodynamics) Fly ash symbols Environmental science TA1-2040 fly ash efficiency computer Predictive modelling splitting tensile strength |
Zdroj: | Građevinski materijali i konstrukcije (2021) 64(1):19-43 Građevinski Materijali i Konstrukcije, Vol 64, Iss 1, Pp 19-43 (2021) |
ISSN: | 2217-8139 |
Popis: | The analysis of available experimental results of high-volume fly ash concrete mechanical properties showed that extensive amount of research had been done so far. However, a comprehensive analysis of basic high-volume fly ash concrete mechanical properties was not found in the literature. Having that in mind, the database of 440 high-volume fly ash concrete and 151 cement concrete mixtures collected from literature was made. The application of European Code EN 1992-1-1 prediction models for cement concrete mechanical properties, as well as existing proposals for high-volume fly ash concrete properties, were statistically evaluated on the results from the database. The analysis showed that the prediction models defined in EN 1992-1-1 for compressive strength, tensile strength and for modulus of elasticity can be used for high-volume fly ash concrete, in the given form or with modifications proposed in literature, with similar accuracy and variation of results as for cement concrete. Own model for fly ash efficiency prediction was developed. |
Databáze: | OpenAIRE |
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