prikaz prve stranice dokumenta Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder
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Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder
Scientific Reports, 12 (2022); 13242. https://doi.org/10.1038/s41598-022-17670-6
Czarnecki, Slawomir; Hadzima-Nyarko, Marijana; Chajec, Adrian; Sadowski, Lukasz

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Czarnecki, S., Hadzima Nyarko, M., Chajec, A. i Sadowski, L. (2022). Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder. Scientific Reports, 12.. doi: 10.1038/s41598-022-17670-6

Czarnecki, Slawomir, et al. "Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder." Scientific Reports, vol. 12, 2022. https://doi.org/10.1038/s41598-022-17670-6

Czarnecki, Slawomir, Marijana Hadzima Nyarko, Adrian Chajec i Lukasz Sadowski. "Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder." Scientific Reports 12 (2022). https://doi.org/10.1038/s41598-022-17670-6

Czarnecki, S., et al. (2022) 'Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder', Scientific Reports, 12. doi: 10.1038/s41598-022-17670-6

Czarnecki S, Hadzima Nyarko M, Chajec A, Sadowski L. Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder. Scientific Reports [Internet]. 2022. [pristupljeno 14.01.2025.];12. doi: 10.1038/s41598-022-17670-6

S. Czarnecki, M. Hadzima Nyarko, A. Chajec i L. Sadowski, "Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder", Scientific Reports, vol. 12, 2022. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:133:638977. [Citirano: 14.01.2025.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:133:638977
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Podaci o radu
Naslov (engleski)Design of a machine learning model for the precise manufacturing of green cementitious composites modified with waste granite powder
AutorSlawomir Czarnecki
AutorMarijana Hadzima-Nyarko
AutorAdrian Chajec
AutorLukasz Sadowski
Autorova ustanovaSveučilište Josipa Jurja Strossmayera u Osijeku
Građevinski i arhitektonski fakultet Osijek
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Sažetak (engleski)
In this study, a machine learning model for the precise manufacturing of green cementitious composites modified with granite powder sourced from quarry waste was designed. For this purpose, decision tree, random forest and AdaBoost ensemble models were used and compared. A database was created containing 216 sets of data based on an experimental study. The database consists of parameters such as the percentage of cement substituted with granite powder, time of testing and curing conditions. It was shown that this method for designing green cementitious composite mixes, in terms of predicting compressive strength using ensemble models and only three input parameters, can be more accurate and much more precise than the conventional approach. Moreover, to the best of the authors’ knowledge, artificial intelligence has been one of the most effective and precise methods used in the design and manufacturing industry in recent decades. The simplicity of this method makes it more suitable for construction practice due to the ease of evaluating the input variables. As the push towards decreasing carbon emissions increases, a method for designing green cementitious composites without producing waste that is more precise than traditional tests performed in a laboratory is essential.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaScientific Reports
Brojčani podacivol. 12, 13242
p-ISSN2045-2322
DOIhttps://doi.org/10.1038/s41598-022-17670-6
URN:NBNurn:nbn:hr:133:638977
Datum objave publikacije2022
URL dokumentahttps://www.nature.com/articles/s41598-022-17670-6
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-12-06 09:23:45