Long-term performance analysis of demolition waste blends in pavement bases using experimental and machine learning techniques
Download
Download
Download
Full text for this resource is not available from the Research Repository.
Export
Ghorbani, Behnam 
ORCID: 0000-0002-8651-4402, Yaghoubi, Ehsan ORCID: 0000-0003-0639-0225, Arulrajah, Arul ORCID: 0000-0003-1512-9803 and Fragomeni, Salvatore ORCID: 0000-0002-0733-4770
(2023)
Long-term performance analysis of demolition waste blends in pavement bases using experimental and machine learning techniques.
International Journal of Geomechanics, 23 (6).
ISSN 1532-3641
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/46956 |
| DOI | 10.1061/IJGNAI.GMENG-7291 |
| Official URL | https://ascelibrary.org/doi/10.1061/IJGNAI.GMENG-7... |
| Subjects | Current > FOR (2020) Classification > 4005 Civil engineering Current > Division/Research > College of Science and Engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | demolition waste, pavement, reclaimed asphalt pavement, RAP, machine learning |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)