prikaz prve stranice dokumenta Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks
  Download
PDF 3.88 MB
Scientific paper - Original scientific paper
Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks
Materials, 12 (2019), 4; 1-18. https://doi.org/10.3390/ma12040561
Hadzima-Nyarko, Marijana; Nyarko, Emmanuel Karlo; Ademović, Naida; Miličević, Ivana; Kalman Šipoš, Tanja

Cite this document

Hadzima Nyarko, M., Nyarko, E. K., Ademović, N., Miličević, I. & Kalman Šipoš, T. (2019). Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks. Materials, 12. (4), 1-18. doi: 10.3390/ma12040561

Hadzima Nyarko, Marijana, et al. "Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks." Materials, vol. 12, no. 4, 2019, pp. 1-18. https://doi.org/10.3390/ma12040561

Hadzima Nyarko, Marijana, Emmanuel Karlo Nyarko, Naida Ademović, Ivana Miličević and Tanja Kalman Šipoš. "Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks." Materials 12, no. 4 (2019): 1-18. https://doi.org/10.3390/ma12040561

Hadzima Nyarko, M., et al. (2019) 'Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks', Materials, 12(4), pp. 1-18. doi: 10.3390/ma12040561

Hadzima Nyarko M, Nyarko EK, Ademović N, Miličević I, Kalman Šipoš T. Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks. Materials [Internet]. 2019 [cited 2025 January 22];12(4):1-18. doi: 10.3390/ma12040561

M. Hadzima Nyarko, E. K. Nyarko, N. Ademović, I. Miličević and T. Kalman Šipoš, "Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks", Materials, vol. 12, no. 4, pp. 1-18, 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:133:069910. [Accessed: 22 January 2025]

Please login to the repository to save this object to your list.
Metadata
Title (english)Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks
AuthorMarijana Hadzima-Nyarko
AuthorEmmanuel Karlo Nyarko
AuthorNaida Ademović
AuthorIvana Miličević
AuthorTanja Kalman Šipoš
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)
One of the major causes of ecological and environmental problems comes from the enormous number of discarded waste tires, which is directly connected to the exponential growth of the world’s population. In this paper, previous works carried out on the effects of partial or full replacement of aggregate in concrete with waste rubber on some properties of concrete were investigated. A database containing 457 mixtures with partial or full replacement of natural aggregate with waste rubber in concrete provided by different researchers was formed. This database served as the basis for investigating the influence of partial or full replacement of natural aggregate with waste rubber in concrete on compressive strength. With the aid of the database, the possibility of achieving reliable prediction of the compressive strength of concrete with tire rubber is explored using neural network modelling.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleMaterials
Numberingvol. 12, no. 4, pp. 1-18
e-ISSN1996-1944
DOIhttps://doi.org/10.3390/ma12040561
URN:NBNurn:nbn:hr:133:069910
Publication2019
ProjectNumber: UIP-2017-05-7113
Title (croatian): Razvoj armiranobetonskih elemenata i sustava s otpadnim prahom automobilskih guma
Title (english): Development of Reinforced Concrete Elements and Systems with Waste Tire Powder
Acronym: ReCoTiP
Leader: Ivana Miličević
Jurisdiction: Croatia
Funding stream: Installation Research Projects
Document URLhttps://www.mdpi.com/1996-1944/12/4/561
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2024-12-03 08:37:38