prikaz prve stranice dokumenta Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash
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Scientific paper - Original scientific paper
Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash
Mathematics, 12 (2024), 1; 1-25. https://doi.org/10.3390/math12010066
Kovačević, Miljan; Hadzima-Nyarko, Marijana; Netinger Grubeša, Ivanka; Radu, Dorin; Lozančić, Silva

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Kovačević, M., Hadzima Nyarko, M., Netinger Grubeša, I., Radu, D. & Lozančić, S. (2024). Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash. Mathematics, 12. (1), 1-25. doi: 10.3390/math12010066

Kovačević, Miljan, et al. "Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash." Mathematics, vol. 12, no. 1, 2024, pp. 1-25. https://doi.org/10.3390/math12010066

Kovačević, Miljan, Marijana Hadzima Nyarko, Ivanka Netinger Grubeša, Dorin Radu and Silva Lozančić. "Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash." Mathematics 12, no. 1 (2024): 1-25. https://doi.org/10.3390/math12010066

Kovačević, M., et al. (2024) 'Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash', Mathematics, 12(1), pp. 1-25. doi: 10.3390/math12010066

Kovačević M, Hadzima Nyarko M, Netinger Grubeša I, Radu D, Lozančić S. Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash. Mathematics [Internet]. 2024 [cited 2025 February 20];12(1):1-25. doi: 10.3390/math12010066

M. Kovačević, M. Hadzima Nyarko, I. Netinger Grubeša, D. Radu and S. Lozančić, "Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash", Mathematics, vol. 12, no. 1, pp. 1-25, 2024. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:133:894439. [Accessed: 20 February 2025]

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Metadata
Title (english)Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Green Concretes with Rice Husk Ash
AuthorMiljan Kovačević
AuthorMarijana Hadzima-Nyarko
AuthorIvanka Netinger Grubeša
AuthorDorin Radu
AuthorSilva Lozančić
Author's institutionJosip Juraj Strossmayer University of Osijek
Faculty of Civil Engineering and Architecture Osijek
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Abstract (english)
To promote sustainable growth and minimize the greenhouse effect, rice husk fly ash can be used instead of a certain amount of cement. The research models the effects of using rice fly ash as a substitute for regular Portland cement on the compressive strength of concrete. In this study, different machine-learning techniques are investigated and a procedure to determine the optimal model is provided. A database of 909 analyzed samples forms the basis for creating forecast models. The derived models are assessed using the accuracy criteria RMSE, MAE, MAPE, and R. The research shows that artificial intelligence techniques can be used to model the compressive strength of concrete with acceptable accuracy. It is also possible to evaluate the importance of specific input variables and their influence on the strength of such concrete.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - domestic
Publication versionPublished version
Journal titleMathematics
Numberingvol. 12, no. 1, pp. 1-25
e-ISSN2227-7390
DOIhttps://doi.org/10.3390/math12010066
URN:NBNurn:nbn:hr:133:894439
Publication2024
Document URLhttps://www.mdpi.com/2227-7390/12/1/66
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) icon
Created on2025-02-03 12:59:29