Evidence map›Paper›PMID 30800383›Full record

ArticleRoyal Society open science2019

Nonlinear scaling effects in the stiffness of soft cellular structures.

Hayley Wyatt, Alexander Safar, Alastair Clarke, Sam L Evans, L Angela Mihai

Abstract read
In one paragraph

Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hayley WyattSchool of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK.ORCID 0000-0001-6893-1977
Alexander SafarSchool of Mathematics, Cardiff University, Senghennydd Road, Cardiff CF24 4AG, UK.
Alastair ClarkeSchool of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK.
Sam L EvansSchool of Engineering, Cardiff University, The Parade, Cardiff CF24 3AA, UK.
L Angela MihaiSchool of Mathematics, Cardiff University, Senghennydd Road, Cardiff CF24 4AG, UK.ORCID 0000-0003-0863-3729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For cellular structures with uniform geometry, cell size and distribution, made from a neo-Hookean material, we demonstrate experimentally that large stretching causes nonlinear scaling effects governed by the microstructural architecture and the large strains at the cell level, which are not predicted by the linear elastic theory. For this purpose, three honeycomb-like structures with uniform square cells in stacked distribution were designed, where the number of cells varied, while the material volume and the ratio between the thickness and the length of the cell walls were fixed. These structures were manufactured from silicone rubber and tested under large uniaxial tension in a bespoke test fixture. Optical strain measurements were used to assess the deformation by capturing both the global displacements of the structure and the local deformations in the form of a strain map. The experimental results showed that, under sufficiently large strains, there was an increase in the stiffness of the structure when the same volume of material was arranged as many small cells compared to when it was organized as fewer larger cells. Finite element simulations confirmed our experimental findings. This study sheds light upon the nonlinear elastic responses of cellular structures in large-strain deformations, which cannot be captured within the linear elasticity framework.

Indexed as

cellular solidsdigital image correlationexperimental testingfinite element simulationlarge-strain stretchingneo-Hookean cell wall material

Identifiers

PMID30800383
PMCPMC6366230

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.