Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes
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 granulom...
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doaj-27680add0dd3488a9f40f292851c700a2021-06-30T23:42:45ZengMDPI AGMaterials1996-19442021-06-01143177317710.3390/ma14123177Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition WastesEvelio Teijón-López-Zuazo0Jorge López-Rebollo1Luis Javier Sánchez-Aparicio2Roberto Garcia-Martín3Diego Gonzalez-Aguilera4Department of Construction and Agronomy, Campus Viriato, Higher Polytechnic School of Zamora, University of Salamanca, Avenida Requejo, 33, 49022 Zamora, SpainDepartment of Cartographic and Land Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros, 50, 05003 Ávila, SpainDepartment 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, SpainDepartment of Mechanical Engineering, Campus Viriato, Higher Polytechnic School of Zamora, University of Salamanca, Avenida Requejo, 33, 49022 Zamora, SpainDepartment of Cartographic and Land Engineering, Higher Polytechnic School of Ávila, University of Salamanca, Hornos Caleros, 50, 05003 Ávila, SpainThis 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.https://www.mdpi.com/1996-1944/14/12/3177construction and demolition wasterecycled concrete aggregaterecycled ceramic aggregatenon-structural concrete3D digital image correlationpredictive models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Evelio Teijón-López-Zuazo Jorge López-Rebollo Luis Javier Sánchez-Aparicio Roberto Garcia-Martín Diego Gonzalez-Aguilera |
spellingShingle |
Evelio Teijón-López-Zuazo Jorge López-Rebollo Luis Javier Sánchez-Aparicio Roberto Garcia-Martín Diego Gonzalez-Aguilera Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes Materials construction and demolition waste recycled concrete aggregate recycled ceramic aggregate non-structural concrete 3D digital image correlation predictive models |
author_facet |
Evelio Teijón-López-Zuazo Jorge López-Rebollo Luis Javier Sánchez-Aparicio Roberto Garcia-Martín Diego Gonzalez-Aguilera |
author_sort |
Evelio Teijón-López-Zuazo |
title |
Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes |
title_short |
Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes |
title_full |
Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes |
title_fullStr |
Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes |
title_full_unstemmed |
Compression and Strain Predictive Models in Non-Structural Recycled Concretes Made from Construction and Demolition Wastes |
title_sort |
compression and strain predictive models in non-structural recycled concretes made from construction and demolition wastes |
publisher |
MDPI AG |
series |
Materials |
issn |
1996-1944 |
publishDate |
2021-06-01 |
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. |
topic |
construction and demolition waste recycled concrete aggregate recycled ceramic aggregate non-structural concrete 3D digital image correlation predictive models |
url |
https://www.mdpi.com/1996-1944/14/12/3177 |
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1721350637661192192 |