Pregled bibliografske jedinice broj: 875484
Model for mix design of brick aggregate concrete based on neural network modelling
Model for mix design of brick aggregate concrete based on neural network modelling // Construction and Building Materials, 148 (2017), 757-769 doi:10.1016/j.conbuildmat.2017.05.111 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 875484 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Model for mix design of brick aggregate concrete based on neural network modelling
Autori
Kalman Šipoš, Tanja ; Miličević, Ivana ; Siddique, Rafat
Izvornik
Construction and Building Materials (0950-0618) 148
(2017);
757-769
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Neural network ; Recycled aggregate ; Compressive strength ; Crushed brick ; Mix design
Sažetak
This article proposes an optimized quantitative model for proportioning concrete mixtures based on cement content, water-cement ratio and percentage of recycled aggregate replacement according to preffered recycled brick aggregate concrete (RBAC) compressive strength. A database compiled from 147 experimental tests of RBAC compressive strength was processed by neural network modelling to achieve a reliable prediction, which was investigated by three- fold validation. The performance of the representative neural network model was verified by parametric analysis with a brief review of the influence of each RBAC component. The focus of the main results is enhancement of the neural network modelling results and consequently new interpretation and conceptualisation for theoretical advancement and practical applied research on RBAC concrete content.
Izvorni jezik
Engleski
Znanstvena područja
Građevinarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Građevinski i arhitektonski fakultet Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus