Dynamic characterization of recycled glass-recycled concrete blends using experimental analysis and artificial neural network modeling
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Ghorbani, Benham 
ORCID: 0000-0002-8651-4402, Arulrajah, Arul ORCID: 0000-0003-1512-9803, Narsilio, Guillermo ORCID: 0000-0003-1219-5661, Horpibulsuk, Suksun ORCID: 0000-0003-1965-8972 and Bo, MW
(2021)
Dynamic characterization of recycled glass-recycled concrete blends using experimental analysis and artificial neural network modeling.
Soil Dynamics and Earthquake Engineering, 142.
ISSN 0267-7261
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/45156 |
| DOI | 10.1016/j.soildyn.2020.106544 |
| Official URL | https://www.sciencedirect.com/science/article/pii/... |
| Subjects | Current > FOR (2020) Classification > 4005 Civil engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | demolition wastes; recycled concrete aggregate; recycled glass; permanent deformation behavior; repeated load triaxial; pavement base; shear strength; machine learning |
| Citations in Scopus | 20 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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