Evidence map›Paper›PMID 40263362›Full record

ArticleScientific reports2025

Numerical simulation of multistable flower-shaped composite laminates with axisymmetric layups.

Padmapooja Jambulingam, Dan Wang, Hortense Le Ferrand

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Padmapooja JambulingamSchool of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Dan WangInstitute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore, 138632, Singapore. wangd@ihpc.a-star.edu.sg.
Hortense Le FerrandSchool of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore. hortense@ntu.edu.sg.

Funding

Agency for Science, Technology and Research A19C9a0044National Research Foundation Singapore NRFF12 2020-0002
6 · The paper itself

Abstract

Multistability is the phenomenon by which a material changes shape quickly between multiple stable states upon the application of an external trigger. Typically, fibre-reinforced composites assembled into laminates with [± 45°] or [0°/90°] layup exhibit bistability. These materials have commonly rectangular geometries, restricting their integration into more complex systems such as soft robotic actuators or biomimetic devices. One approach to increase the number of stable states is to locally vary the fibre orientation while tailoring the geometry of the bilayer laminate. This strategy is explored here using flower-shaped laminates as proof-of-concept. The dimensions of the flower's petals as well as the local fibres' orientations are varied using local and global coordinates systems. The morphing and the number of stable states are studied using the Finite Element Method (FEM) under various mechanical loading methods. The results demonstrate that multistability can be obtained by varying the geometry and the local fibre orientations. Generally, larger width-to-length ratios for the petals are also better for generating stable states. The simulated results are compared and discussed and could be used as a benchmark for exploring such systems in experiments or for designing even more complex multistable structures to meet the needs of soft robotics or other applications.

Indexed as

Finite element modellingLaminatesMorphingMultistability

Identifiers

PMID40263362
PMCPMC12015261

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.