The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Shear strength properties of wet granular materials
Open accessAbstract
We investigate shear strength properties of wet granular materials in the pendular state (i.e., the state where the liquid phase is discontinuous) as a function of water content. Sand and glass beads were wetted and tested in a direct shear cell and under various confining pressures. In parallel, we carried out three-dimensional molecular dynamics simulations by using an explicit equation expressing capillary force as a function of interparticle distance, water bridge volume, and surface tension. We show that, due to the peculiar features of capillary interactions, the major influence of water content over the shear strength stems from the distribution of liquid bonds. This property results in shear strength saturation as a function of water content. We arrive at the same conclusion by a microscopic analysis of the shear strength. We propose a model that accounts for the capillary force, the granular texture, and particle size polydispersity. We find fairly good agreement of the theoretical estimate of the shear strength with both experimental data and simulations. From numerical data, we analyze the connectivity and anisotropy of different classes of liquid bonds according to the sign and level of the normal force as well as the bond direction. We find that weak compressive bonds are almost isotropically distributed whereas strong compressive and tensile bonds have a pronounced anisotropy. The probability distribution function of normal forces is exponentially decreasing for strong compressive bonds, a decreasing power-law function over nearly one decade for weak compressive bonds, and an increasing linear function in the range of tensile bonds. These features suggest that different bond classes do not play the same role with respect to the shear strength.
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
Cites
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
A discrete numerical model for granular assemblies
Cundall, P. A., & Strack, O. D. L. (1979) · Géotechnique · doi:10.1680/geot.1979.29.1.47 · Cited by 17,527
Computer Simulation of Liquids
P, S., & J, K. (1988) · Journal of Molecular Liquids · doi:10.1016/0167-7322(88)80022-9 · Cited by 15,812
Mitchell, J. K., Soga, K., & O'Sullivan, C. (2025) · Wiley eBooks · doi:10.1002/9781119832348 · Cited by 3,037
Bradford, J. M. (1976) · Soil Science Society of America Journal · doi:10.2136/sssaj1976.03615995004000040003x · Cited by 2,069
Contact force measurements and stress-induced anisotropy in granular materials
Majmudar, T. S., & Behringer, R. P. (2005) · Nature · doi:10.1038/nature03805 · Cited by 1,265
Statistical Models for the Fracture of Disordered Media
(1990) · Elsevier eBooks · doi:10.1016/c2009-0-14278-2 · Cited by 950
Bimodal Character of Stress Transmission in Granular Packings
Radjai, F., Wolf, D. E., Jean, M., & Moreau, J.-J. (1998) · Physical Review Letters · doi:10.1103/physrevlett.80.61 · Cited by 911
A Theoretical Study of the Liquid Bridge Forces between Two Rigid Spherical Bodies
Lian, G., Thornton, C., & Adams, M. J. (1993) · Journal of Colloid and Interface Science · doi:10.1006/jcis.1993.1452 · Cited by 762
Numerical simulation of cohesive powder behavior in a fluidized bed
Mikami, T., Kamiya, H., & Horio, M. (1998) · Chemical Engineering Science · doi:10.1016/s0009-2509(97)00325-4 · Cited by 577
Metadata
- Authors
- Richefeu, V., El Youssoufi, M. S., & Radjaï, F.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2006-05-10
- Volume
- 73
- Issue
- 5
- Pages
- 051304-051304
- ISSN
- 1539-3755 (ISSN-L)
- 1550-2376
- OpenAlex
- W1990123266
- Cited by
- 306
- References
- 22
- FWCI
- 13.89
- Type
- journal article
- Language
- en
- Open access
- green
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: Shear strength properties of wet granular materials. https://app.cochat.ai/papers/10.1103/physreve.73.051304
- The paper
- Richefeu, V., El Youssoufi, M. S., & Radjaï, F. (2006). Shear strength properties of wet granular materials. Physical Review E. https://doi.org/10.1103/physreve.73.051304
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.