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Pregled bibliografske jedinice broj: 875484

Model for mix design of brick aggregate concrete based on neural network modelling


Kalman Šipoš, Tanja; Miličević, Ivana; Siddique, Rafat
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)


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

Profili:

Avatar Url Ivana Miličević (autor)

Avatar Url Tanja Kalman Šipoš (autor)

Citiraj ovu publikaciju

Kalman Šipoš, Tanja; Miličević, Ivana; Siddique, Rafat
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)
Kalman Šipoš, T., Miličević, I. & Siddique, R. (2017) Model for mix design of brick aggregate concrete based on neural network modelling. Construction and Building Materials, 148, 757-769 doi:10.1016/j.conbuildmat.2017.05.111.
@article{article, year = {2017}, pages = {757-769}, DOI = {10.1016/j.conbuildmat.2017.05.111}, keywords = {Neural network, Recycled aggregate, Compressive strength, Crushed brick, Mix design}, journal = {Construction and Building Materials}, doi = {10.1016/j.conbuildmat.2017.05.111}, volume = {148}, issn = {0950-0618}, title = {Model for mix design of brick aggregate concrete based on neural network modelling}, keyword = {Neural network, Recycled aggregate, Compressive strength, Crushed brick, Mix design} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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