Journal
MATERIALS
Volume 14, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/ma14123177
Keywords
construction and demolition waste; recycled concrete aggregate; recycled ceramic aggregate; non-structural concrete; 3D digital image correlation; predictive models
Categories
Funding
- ERDF funds
- Junta of Castilla y Leon through the TCUE 2018-2020 program
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This study investigates different predictive models for estimating the unconfined compressive strength and maximum peak strain of non-structural recycled concretes. The results show that it is possible to accurately estimate the properties of different types of recycled concretes, confirming the impact of ceramic waste on performance.
This work aims to investigate different predictive models for estimating the unconfined compressive strength and the maximum peak strain of non-structural recycled concretes made up by ceramic and concrete wastes. The extensive experimental campaign carried out during this research includes granulometric analysis, physical and chemical analysis, and compression tests along with the use of the 3D digital image correlation as a method to estimate the maximum peak strain. The results obtained show that it is possible to accurately estimate the unconfined compressive strength for both types of concretes, as well as the maximum peak strain of concretes made up by ceramic waste. The peak strain for mixtures with concrete waste shows lower correlation values.
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