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Article

Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes

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Department of Construction and Agronomy, Campus Viriato, Higher Polytechnic School of Zamora, University of Salamanca, Avenida Requejo, 33, 49022 Zamora, Spain
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Department of Cartographic and Land Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros, 50, 05003 Ávila, Spain
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Department of Construction and Technology in Architecture (DCTA), Escuela Técnica Superior de Arquitectura de Madrid (ETSAM), Universidad Politécnica de Madrid, Av. Juan de Herrera 4, 28040 Madrid, Spain
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Department of Mechanical Engineering, Campus Viriato, Higher Polytechnic School of Zamora, University of Salamanca, Avenida Requejo, 33, 49022 Zamora, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Lambert
Materials 2021, 14(12), 3177; https://doi.org/10.3390/ma14123177
Received: 11 May 2021 / Revised: 3 June 2021 / Accepted: 5 June 2021 / Published: 9 June 2021
(This article belongs to the Section Construction and Building Materials)
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. View Full-Text
Keywords: construction and demolition waste; recycled concrete aggregate; recycled ceramic aggregate; non-structural concrete; 3D digital image correlation; predictive models construction and demolition waste; recycled concrete aggregate; recycled ceramic aggregate; non-structural concrete; 3D digital image correlation; predictive models
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MDPI and ACS Style

Teijón-López-Zuazo, E.; López-Rebollo, J.; Sánchez-Aparicio, L.J.; Garcia-Martín, R.; Gonzalez-Aguilera, D. Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes. Materials 2021, 14, 3177. https://doi.org/10.3390/ma14123177

AMA Style

Teijón-López-Zuazo E, López-Rebollo J, Sánchez-Aparicio LJ, Garcia-Martín R, Gonzalez-Aguilera D. Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes. Materials. 2021; 14(12):3177. https://doi.org/10.3390/ma14123177

Chicago/Turabian Style

Teijón-López-Zuazo, Evelio, Jorge López-Rebollo, Luis J. Sánchez-Aparicio, Roberto Garcia-Martín, and Diego Gonzalez-Aguilera. 2021. "Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes" Materials 14, no. 12: 3177. https://doi.org/10.3390/ma14123177

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