Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling
This investigation means to predict and modeling the fresh and hardened concrete behavior containing fine aggregates from concrete and brick wastes, for different recycled aggregates substitution rates. To succeed this, the design of experiments DOE method was used. It is observed that slump of...
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Gruppo Italiano Frattura
2021
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oai:doaj.org-article:7b41dc2778434228bb9ee6af09a350f42021-11-26T10:56:44ZOptimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling1971-8993https://doaj.org/article/7b41dc2778434228bb9ee6af09a350f42021-06-01T00:00:00Zhttps://www.fracturae.com/index.php/fis/article/view/3055https://doaj.org/toc/1971-8993 This investigation means to predict and modeling the fresh and hardened concrete behavior containing fine aggregates from concrete and brick wastes, for different recycled aggregates substitution rates. To succeed this, the design of experiments DOE method was used. It is observed that slump of recycled concrete is significantly influenced by the content in recycled concrete aggregates (RCA), natural sand (NS) and recycled brick aggregates (RBA), respectively.The compressive strength (CS) reaches a maximum value of 83.48 MPa with factors values of 25% RBA, and 75% RCA. And HPC’s based on RBA sand presented greater values of flexural strength at 7 days than HPC’s based on RCA sand, it was revealed that this is due to the RBA fines pozzolanic reaction and the production of new CSHs, which leads to better cement matrix densification.Under optimal conditions, themaximum desirability is 0.65, who has given HPC no added natural sand, by mixing recycled sands RBA (9.5%) with RCA (90.5%).The statistical terms result show that the expected models are very well correlated with the experimental data and have shown good accuracy. Tounsia BoudinaDalila BenamaraRebih ZaitriGruppo Italiano FratturaarticleHigh performance concreteRecycled aggregatesMixture design modellingPhysico-mechanical propertiesOptimizationMechanical engineering and machineryTJ1-1570Structural engineering (General)TA630-695ENFrattura ed Integrità Strutturale, Vol 15, Iss 57 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
High performance concrete Recycled aggregates Mixture design modelling Physico-mechanical properties Optimization Mechanical engineering and machinery TJ1-1570 Structural engineering (General) TA630-695 |
| spellingShingle |
High performance concrete Recycled aggregates Mixture design modelling Physico-mechanical properties Optimization Mechanical engineering and machinery TJ1-1570 Structural engineering (General) TA630-695 Tounsia Boudina Dalila Benamara Rebih Zaitri Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling |
| description |
This investigation means to predict and modeling the fresh and hardened concrete behavior containing fine aggregates from concrete and brick wastes, for different recycled aggregates substitution rates.
To succeed this, the design of experiments DOE method was used. It is observed that slump of recycled concrete is significantly influenced by the content in recycled concrete aggregates (RCA), natural sand (NS) and recycled brick aggregates (RBA), respectively.The compressive strength (CS) reaches a maximum value of 83.48 MPa with factors values of 25% RBA, and 75% RCA. And HPC’s based on RBA sand presented greater values of flexural strength at 7 days than HPC’s based on RCA sand, it was revealed that this is due to the RBA fines pozzolanic reaction and the production of new CSHs, which leads to better cement matrix densification.Under optimal conditions, themaximum desirability is 0.65, who has given HPC no added natural sand, by mixing recycled sands RBA (9.5%) with RCA (90.5%).The statistical terms result show that the expected models are very well correlated with the experimental data and have shown good accuracy.
|
| format |
article |
| author |
Tounsia Boudina Dalila Benamara Rebih Zaitri |
| author_facet |
Tounsia Boudina Dalila Benamara Rebih Zaitri |
| author_sort |
Tounsia Boudina |
| title |
Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling |
| title_short |
Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling |
| title_full |
Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling |
| title_fullStr |
Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling |
| title_full_unstemmed |
Optimization of High-Performance-Concrete properties containing fine recycled aggregates using mixture design modeling |
| title_sort |
optimization of high-performance-concrete properties containing fine recycled aggregates using mixture design modeling |
| publisher |
Gruppo Italiano Frattura |
| publishDate |
2021 |
| url |
https://doaj.org/article/7b41dc2778434228bb9ee6af09a350f4 |
| work_keys_str_mv |
AT tounsiaboudina optimizationofhighperformanceconcretepropertiescontainingfinerecycledaggregatesusingmixturedesignmodeling AT dalilabenamara optimizationofhighperformanceconcretepropertiescontainingfinerecycledaggregatesusingmixturedesignmodeling AT rebihzaitri optimizationofhighperformanceconcretepropertiescontainingfinerecycledaggregatesusingmixturedesignmodeling |
| _version_ |
1718409543264763904 |