The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Precise determination of the Poisson ratio in soft materials with 2D digital image correlation
Open accessAbstract
In this article, we demonstrate the application of digital image correlation (DIC) in evaluating the strains and Poisson ratio of a range of soft materials in terms of their spatial and temporal resolutions. Homogeneous samples of polydimethylsiloxane (PDMS) elastomer were used as control substance and were measured to have Poisson ratios of 0.498, 0.503, 0.500, and 0.499, in agreement with the reported incompressible value of 0.50. Two carbon nanotube (CNT) elastomer composites of identical composition, but one of a homogeneous and the other of a highly inhomogeneous CNT distribution, were used to determine the spatial resolution with good results. The relaxation of a polydomain liquid crystal elastomer (3D-LCE), a cholesteric liquid crystal elastomer (CLCE), and a polyacrylamide gel (PAAm) in water, were used to determine the temporal resolution of the technique. A video at 25 fps was used to evaluate the time dependence of the 3D-LCE over which time an increase in the Poisson ratio was observed. The 3D-LCE relaxes from its initial state at 0.42 to 0.50, converging towards incompressibility at equilibrium. The CLCE was found to have a similar initial value of 0.44 but converged to ∼0.60, a consequence of its anisotropic elastic nature. PAAm gel relaxation in water was studied over a time period of 7 hours with digital images taken periodically every minute. Its Poisson ratio was found to decrease smoothly from 0.50 to 0.26, with an accompanying reduction in force. The equilibrium result compares well to the 0.25 value predicted by a theory of the strain-induced swelling of dilute gels. In summary, we find DIC to be a powerful and easy to implement method of accurately measuring local strains in a range of soft materials.
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
Poisson's Ratio in Linear Viscoelasticity – A Critical Review
Tschoegl, N. W., Knauss, W. G., & Emri, I. (2002) · Mechanics of Time-Dependent Materials · doi:10.1023/a:1014411503170 · Cited by 449
Viscoelastic Properties of Human Tympanic Membrane
Cheng, T., Dai, C., & Gan, R. Z. (2007) · Annals of Biomedical Engineering · doi:10.1007/s10439-006-9227-0 · Cited by 151
Cited by
Pang, Y., Zhang, K., Yang, Z., Jiang, S., Ju, Z., Li, Y., Wang, X., Wang, D., Jian, M., Zhang, Y., et al. (2018) · ACS Nano · doi:10.1021/acsnano.7b07613 · Cited by 774
Ultrasensitive and Stretchable Strain Sensors Based on Mazelike Vertical Graphene Network
Wu, S., Peng, S., Han, Z. J., Zhu, H., & Wang, C. H. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b15848 · Cited by 144
Metadata
- Authors
- Pritchard, R. H., Lava, P., Debruyne, D., & Terentjev, E. M.
- Venue
- Soft Matter
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2013
- Volume
- 9
- Issue
- 26
- Pages
- 6037
- ISSN
- 1744-683X (ISSN-L)
- 1744-6848
- OpenAlex
- W2089687846
- Cited by
- 207
- References
- 2
- FWCI
- 9.66
- 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: Precise determination of the Poisson ratio in soft materials with 2D digital image correlation. https://app.cochat.ai/papers/10.1039/c3sm50901j
- The paper
- Pritchard, R. H., Lava, P., Debruyne, D., & Terentjev, E. M. (2013). Precise determination of the Poisson ratio in soft materials with 2D digital image correlation. Soft Matter. https://doi.org/10.1039/c3sm50901j
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.