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  • 20190803concrete_under_supercritical_carbonation_final_

    Rights statement: This is the author’s version of a work that was accepted for publication in Construction and Building Materials. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Construction and Building Materials, 227, 2019 DOI: 10.1016/j.conbuildmat.2019.116680

    Accepted author manuscript, 2.3 MB, PDF document

    Embargo ends: 19/08/20

    Available under license: CC BY-NC-ND

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Experimental study and multi-physics modelling of concrete under supercritical carbonation

Research output: Contribution to journalJournal article

Published
Article number116680
<mark>Journal publication date</mark>10/12/2019
<mark>Journal</mark>Construction and Building Materials
Volume227
Number of pages13
Publication statusPublished
Early online date19/08/19
Original languageEnglish

Abstract

This paper presents both experimental study and multi-physics modelling of supercritical carbonation of concrete. A novel mathematical model is proposed to simulate random distribution of coarse aggregates in concrete. Supercritical carbonation tests of concrete are carried out and the measured carbonation depth is compared with the simulation results. On the basis of previous research on random field of porosity and supercritical carbonation of cement mortar, a new supercritical carbonation model is developed to study the effect of randomly distributed coarse aggregates and porosity on the irregularities of carbonation depth of concrete. The effect of the type, volume fraction and gradation of coarse aggregates and the porosity of ITZ on the distribution of irregular carbonation depth are also studied. The results demonstrate that the proposed two-dimensional random coarse aggregates model can be used satisfactorily to generate different types, volume fraction and gradation of coarse aggregates with the designed mix proportion within a confined space. The method provides a better and more realistic predictive model for simulating carbonation depth of concrete due to random distribution of coarse aggregates and porosity.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Construction and Building Materials. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Construction and Building Materials, 227, 2019 DOI: 10.1016/j.conbuildmat.2019.116680