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Wrinkles and creases in the bending, unbending and eversion of soft sectors

Overview of attention for article published in Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, April 2018
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Title
Wrinkles and creases in the bending, unbending and eversion of soft sectors
Published in
Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, April 2018
DOI 10.1098/rspa.2017.0827
Pubmed ID
Authors

Taisiya Sigaeva, Robert Mangan, Luigi Vergori, Michel Destrade, Les Sudak

Abstract

We study what is clearly one of the most common modes of deformation found in nature, science and engineering, namely the large elastic bending of curved structures, as well as its inverse, unbending, which can be brought beyond complete straightening to turn into eversion. We find that the suggested mathematical solution to these problems always exists and is unique when the solid is modelled as a homogeneous, isotropic, incompressible hyperelastic material with a strain-energy satisfying the strong ellipticity condition. We also provide explicit asymptotic solutions for thin sectors. When the deformations are severe enough, the compressed side of the elastic material may buckle and wrinkles could then develop. We analyse, in detail, the onset of this instability for the Mooney-Rivlin strain energy, which covers the cases of the neo-Hookean model in exact nonlinear elasticity and of third-order elastic materials in weakly nonlinear elasticity. In particular, the associated theoretical and numerical treatment allows us to predict the number and wavelength of the wrinkles. Guided by experimental observations, we finally look at the development of creases, which we simulate through advanced finite-element computations. In some cases, the linearized analysis allows us to predict correctly the number and the wavelength of the creases, which turn out to occur only a few per cent of strain earlier than the wrinkles.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 29%
Professor 4 17%
Researcher 3 13%
Professor > Associate Professor 2 8%
Other 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Engineering 12 50%
Materials Science 2 8%
Mathematics 1 4%
Physics and Astronomy 1 4%
Unknown 8 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 June 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#3,298
of 3,614 outputs
Outputs of similar age
#300,579
of 340,797 outputs
Outputs of similar age from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#24
of 28 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,614 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.