Carbon dioxide uptake of recycled concrete aggregates during their carbonation treatment

Recycled concrete aggregates (RCAs) have gained significant attention as a sustainable alternatives to natural aggregates in the construction industry. Carbonation treatment of RCAs is one of the methods currently used to enhance their mechanical properties. This paper presents a spherical diffusion–carbonation model to simulate carbon dioxide transport and its reaction with cementitious materials involved in RCAs by taking into account their typical spherical geometry – a feature frequently neglected in traditional slab-based approaches. The model integrates essential parameters such as the carbon dioxide diffusion coefficient in the gaseous phase, carbonation reaction kinetics and the chemical composition of the parent concrete. The model was validated using carbon dioxide uptake data from existing experiments. The results showed that carbonation behaviour predicted by the spherical model differs noticeably from that of slab geometries. In contrast to the slab model, which yields a carbonation depth proportional to the square root of time, the spherical model exhibits a more intricate progression owing to the decreasing reactive surface area as carbonation proceeds inwards, which highlights the importance of considering the geometry and shape of particles during the carbonation treatment of RCAs.

Authors

Institutions

Publication Details

Journal
Magazine of Concrete Research
Published
2026-07-28
DOI
https://doi.org/10.1680/jmacr.26.00134
Primary Topic
Recycled Aggregate Concrete Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Carbon dioxide uptake of recycled concrete aggregates during their carbonation treatment

Lei Jin, Wei-bin Yuan, Nan-ting Yu, Tao Shi et al.
Magazine of Concrete Research
Recycled Aggregate Concrete Performance
article

Carbon dioxide uptake of recycled concrete aggregates during their carbonation treatment

Lei Jin, Wei-bin Yuan, Nan-ting Yu, Tao Shi, Zi-Bo Song
article en

Abstract

Recycled concrete aggregates (RCAs) have gained significant attention as a sustainable alternatives to natural aggregates in the construction industry. Carbonation treatment of RCAs is one of the methods currently used to enhance their mechanical properties. This paper presents a spherical diffusion–carbonation model to simulate carbon dioxide transport and its reaction with cementitious materials involved in RCAs by taking into account their typical spherical geometry – a feature frequently neglected in traditional slab-based approaches. The model integrates essential parameters such as the carbon dioxide diffusion coefficient in the gaseous phase, carbonation reaction kinetics and the chemical composition of the parent concrete. The model was validated using carbon dioxide uptake data from existing experiments. The results showed that carbonation behaviour predicted by the spherical model differs noticeably from that of slab geometries. In contrast to the slab model, which yields a carbonation depth proportional to the square root of time, the spherical model exhibits a more intricate progression owing to the decreasing reactive surface area as carbonation proceeds inwards, which highlights the importance of considering the geometry and shape of particles during the carbonation treatment of RCAs.

Magazine of Concrete Research
Shaoxing University (CN), Shaoxing City Women and Children Hospital (CN), Zhejiang University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Recycled Aggregate Concrete Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.