Evidence map›Paper›PMID 41901886›Full record

ArticlePolymers2026

Investigating the Triaxial Mechanical Behaviour of Silicone Rubber Material.

Jie Yang, Nan Chen, Jun Gao, Yang Wang, Shuchang Long, Xiaohu Yao, Zhibin Wu, Junfeng Zhao

Abstract read
In one paragraph

Article in Polymers, 2026. 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

8 authors.

Jie YangShanghai Aircraft Design and Research Institute, Shanghai 201210, China.ORCID 0000-0002-2853-9687
Nan ChenSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China.
Jun GaoShanghai Aircraft Design and Research Institute, Shanghai 201210, China.
Yang WangShanghai Aircraft Design and Research Institute, Shanghai 201210, China.
Shuchang LongSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China.
Xiaohu YaoSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China.
Zhibin WuShanghai Aircraft Design and Research Institute, Shanghai 201210, China.
Junfeng ZhaoShanghai Aircraft Design and Research Institute, Shanghai 201210, China.

Funding

the National Natural Science Foundation of China No. U2433203
6 · The paper itself

Abstract

Silicone rubber is extensively used in engineering applications due to its toughness and impact resistance; however, traditional characterisation methods fail to capture its nonlinear deformation characterisation and triaxial mechanical behaviour. To address this, we derived a constitutive model within the framework of continuum mechanics that assumes a condition of near incompressibility and conducted uniaxial, planar, and equibiaxial tension tests to fit the model parameters. Through systematic analysis of triaxial mechanical responses under these three loading modes, we determined the material's nonlinear large-deformation behaviour and sensitivity to the biaxiality ratio. Comparative analyses with classical hyperelastic models show that the proposed model achieves a good balance between the number of parameters and fitting accuracy. After the parameter-fitting process, we performed finite element simulations of the three loading modes. The simulation results show good agreement with experimental data in terms of deformation patterns and stress-strain curves. This study provides a novel theoretical tool for evaluating the mechanical properties and structural designs of soft materials.

Indexed as

biaxiality ratioexperimentmodellingsilicone rubbersimulation

Identifiers

PMID41901886
PMCPMC13030571

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.