Downloads provided by UsageCounts
handle: 10261/19952
This paper presents a model for the carbonation of cementitious matrixes (UR-CORE). The model is based on the principles of the “unreacted-core” systems, typical of chemical engineering processes, in which the reacted product remains in the solid as a layer of inert ash, adapted for the specific case of carbonation. Development of the model has been undertaken in three steps: 1) Establishment of the controlling step in the global carbonation rate, by using data of fractional conversion of different phases of the cementitious matrixes, obtained by the authors through neutron diffraction data experiments, and reported in [M. Castellote, C. Andrade, X. Turrillas, J. Campo, G. Cuello, Accelerated carbonation of cement pastes in situ monitored by neutron diffraction, Cem. Concr. Res. (2008), doi:10.1016/j.cemconres.2008.07.002]. 2) Then, the model has been adapted and applied to the cementitious materials using different concentrations of CO2, with the introduction of the needed assumptions and factors. 3) Finally, the model has been validated with laboratory data at different concentrations (taken from literature) and for long term natural exposure of concretes. As a result, the model seems to be reliable enough to be applied to cementitious materials, being able to extrapolate the results from accelerated tests in any conditions to predict the rate of carbonation in natural exposure, being restricted, at present stage, to conditions with a constant relative humidity.
The authors acknowledge the funding provided by the Spanish MCT through the project CONSOLIDER-SEDUREC and by the Spanish MMA through the project no. 005/2006/2-3.1.
Publicación en versión impresa: diciembre de 2008
Peer reviewed
Accelerated carbonation, Validation, Modeling, Unreacted-core model, Carbonation, In-situ monitoring, Neutron diffraction
Accelerated carbonation, Validation, Modeling, Unreacted-core model, Carbonation, In-situ monitoring, Neutron diffraction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 78 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 39 | |
| downloads | 12 |

Views provided by UsageCounts
Downloads provided by UsageCounts