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Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes
Content Provider | MDPI |
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Author | Evelio, Teijón-López-Zuazo Jorge, López-Rebollo Luis, Sánchez-Aparicio Roberto, Garcia-Martín Gonzalez-Aguilera, Diego |
Copyright Year | 2021 |
Description | 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. |
Starting Page | 3177 |
e-ISSN | 19961944 |
DOI | 10.3390/ma14123177 |
Journal | Materials |
Issue Number | 12 |
Volume Number | 14 |
Language | English |
Publisher | MDPI |
Publisher Date | 2021-06-09 |
Access Restriction | Open |
Subject Keyword | Materials Characterization and Testing of Materials Construction and Demolition Waste Recycled Concrete Aggregate Recycled Ceramic Aggregate Non-structural Concrete 3d Digital Image Correlation Predictive Models |
Content Type | Text |
Resource Type | Article |