The DOI matches its Crossref record.
Water sorptivity of mortars and concretes: a review
Abstract
The sorptivity is an easily measured material property which characterizes the tendency of a porous material to absorb and transmit water by capillarity. Its theoretical basis in unsaturated flow theory is reviewed, together with methods of measurement suitable for cement-based materials. Available data on mortars and concretes are included. The dependence of the sorptivity on initial water content, temperature and fluid properties is also described. Other test methods (the initial surface absorption, the Figg water absorption and the Covercrete absorption tests) are discussed in terms of the sorptivity.
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
Chithra, S., Senthil Kumar, S. R. R., & Chinnaraju, K. (2016) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2016.03.119 · Cited by 328
Long term durability properties of class F fly ash geopolymer concrete
Law, D. W., Adam, A. A., Molyneaux, T. K., Patnaikuni, I., & Wardhono, A. (2015) · Materials and Structures · doi:10.1617/s11527-014-0268-9 · Cited by 296
Carbonation-Induced and Chloride-Induced Corrosion in Reinforced Concrete Structures
Zhou, Y., Gencturk, B., Willam, K., & Attar, A. (2015) · Journal of Materials in Civil Engineering · doi:10.1061/(asce)mt.1943-5533.0001209 · Cited by 263
Wang, Y., Wang, W., Wang, D., Liu, Y., & Liu, J. (2021) · Journal of Building Engineering · doi:10.1016/j.jobe.2021.103120 · Cited by 45
Mechanical, physical and microstructural properties of a mortar with melted plastic waste binder
Thiam, M., & Fall, M. (2021) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2021.124190 · Cited by 27
Metadata
- Authors
- Hall, C.
- Venue
- Magazine of Concrete Research
- Publisher
- Emerald
- Published
- 1989-06
- Volume
- 41
- Issue
- 147
- Pages
- 51-61
- ISSN
- 0024-9831 (ISSN-L)
- 1751-763X
- OpenAlex
- W2117416150
- Cited by
- 833
- References
- 0
- FWCI
- 14.67
- 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: Water sorptivity of mortars and concretes: a review. https://app.cochat.ai/papers/10.1680/macr.1989.41.147.51
- The paper
- Hall, C. (1989). Water sorptivity of mortars and concretes: a review. Magazine of Concrete Research. https://doi.org/10.1680/macr.1989.41.147.51
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.