Experimental investigation and modelling the deformation properties of demolition wastes subjected to freeze–thaw cycles using ANN and SVR

Full text for this resource is not available from the Research Repository.

Ghorbani, Benham 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

Dimensions Badge

Altmetric Badge

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

Search Google Scholar

Repository staff login