The DOI matches its Crossref record.
The influence of compaction pores on sorptivity and carbonation of concrete
Abstract
Abstract Concrete itself is a porous composite material consisting of mineral aggregates and the cement matrix that form a durable structure. The transport of aggressive species may follow different mechanisms, depending on the pore structure of the concrete, the exposure conditions and the characteristic s of the diffusing substances. According to their origin and characteristics, the pores are classified as compaction pores, air pores and capillary pores (which affect durability) and gel pores. The present study was carried out to investigate the influence of compaction pores on the sorptivity and the carbonation of concrete. To create various levels of compaction porosity (poor, medium and high) different techniques of compaction were used on concrete specimens at casting stage. Compressive strength, porosity, sorptivity coefficient, mass change due to carbonation and carbonation were tested in order to estimate the properties of concrete with various compaction pores. Test results showed that change in the compaction pores may significantly affect the carbonation rate and the sorptivity coefficient.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Carbonation of cement-based materials: Challenges and opportunities
Ashraf, W. (2016) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2016.05.080 · Cited by 657
Duan, P., Shui, Z., Chen, W., & Shen, C. (2013) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2013.02.075 · Cited by 417
Liu, W., Li, Y.-Q., Tang, L.-P., & Dong, Z.-J. (2019) · Materials Today Communications · doi:10.1016/j.mtcomm.2019.05.007 · Cited by 137
Metadata
- Authors
- Gonen, T., & Yazicioglu, S.
- Venue
- Construction and Building Materials
- Publisher
- Elsevier BV
- Published
- 2007-05
- Volume
- 21
- Issue
- 5
- Pages
- 1040-1045
- ISSN
- 0950-0618 (ISSN-L)
- OpenAlex
- W2121177757
- Cited by
- 161
- References
- 0
- FWCI
- 21.74
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The influence of compaction pores on sorptivity and carbonation of concrete. https://app.cochat.ai/papers/10.1016/j.conbuildmat.2006.02.010
- The paper
- Gonen, T., & Yazicioglu, S. (2007). The influence of compaction pores on sorptivity and carbonation of concrete. Construction and Building Materials. https://doi.org/10.1016/j.conbuildmat.2006.02.010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
