Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR
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Ghorbani, Behnam 
ORCID: 0000-0002-8651-4402, Arulrajah, Arul ORCID: 0000-0003-1512-9803, Narsilio, Guillermo ORCID: 0000-0003-1219-5661 and Horpibulsuk, Suksun ORCID: 0000-0003-1965-8972
(2020)
Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR.
Construction and Building Materials, 258.
ISSN 0950-0618
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/45160 |
| DOI | 10.1016/j.conbuildmat.2020.119688 |
| 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 | construction materials; waste material; resilient modulus; permanent deformation; artificial neural network; support vector regression |
| Citations in Scopus | 35 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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