Evidence map›Paper›PMID 42023131›Full record

ArticleCommunications physics2026

Sequential buckling in fluid-filled cylindrical shells.

Shresht Jain, Finn Box, Martin Quinn, Chris Johnson, Draga Pihler-Puzović

Abstract read
In one paragraph

Article in Communications physics, 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

5 authors.

Shresht JainPhysics of Fluids & Soft Matter, Department of Physics & Astronomy, University of Manchester, Manchester, UK.ORCID 0000-0002-8790-7654
Finn BoxPhysics of Fluids & Soft Matter, Department of Physics & Astronomy, University of Manchester, Manchester, UK.ORCID 0000-0001-6725-410X
Martin QuinnPhysics of Fluids & Soft Matter, Department of Physics & Astronomy, University of Manchester, Manchester, UK.
Chris JohnsonManchester Centre for Nonlinear Dynamics, University of Manchester, Manchester, UK.ORCID 0000-0003-2192-3616
Draga Pihler-PuzovićPhysics of Fluids & Soft Matter, Department of Physics & Astronomy, University of Manchester, Manchester, UK.ORCID 0000-0002-7458-100X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From oil drums to flying rockets, cylindrical shells are valued for their load-carrying capacity. When sufficiently compressed, they buckle, with the phenomenon taking many forms, from periodic diamond-shaped buckles to localized elephant footing. The precise physical mechanisms of buckling are different, for example, in empty shells and shells with a solid core. However, despite the abundance of liquid-filled shells in industry and everyday life, their buckling is largely overlooked. Here, we compress beverage cans and identify a sequential buckling instability that localizes circumferential rings above a critical level of compression. Combining measurements of the anisotropic material properties of the shell with modelling based on the nonlinear Swift-Hohenberg equations, we demonstrate that fluid-filled shells can support a multiplicity of localized solutions, which are induced by the nonlinear hoop stress of the shell and sequentialize through homoclinic snaking. This establishes a rare link between idealized mathematical studies of pattern formation and physical realizations of spatially-localized buckling phenomena. These findings serve as a blueprint for exploring localized patterns induced by material nonlinearities, near-incompressibility and pressurization in other physical systems.

Indexed as

Applied mathematicsNonlinear phenomena

Identifiers

PMID42023131
PMCPMC13098793

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.