Evidence map›Paper›PMID 39047039›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Multistability of segmented rings by programming natural curvature.

Lu Lu, Sophie Leanza, Jize Dai, John W Hutchinson, Ruike Renee Zhao

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Physics-Informed Neural Network-Enabled Forward Prediction and Inverse Design of Ring Origami.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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.

Lu Lu *Department of Mechanical Engineering, Stanford University, Stanford, CA 94305.ORCID 0000-0001-6167-9158
Sophie Leanza *Department of Mechanical Engineering, Stanford University, Stanford, CA 94305.
Jize DaiDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305.
John W HutchinsonSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0001-6435-3612
Ruike Renee ZhaoDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305.ORCID 0000-0002-9292-5267

Funding

NSF (NSF) CMMI-2145601NSF (NSF) CPS-2201344
6 · The paper itself

Abstract

Multistable structures have widespread applications in the design of deployable aerospace systems, mechanical metamaterials, flexible electronics, and multimodal soft robotics due to their capability of shape reconfiguration between multiple stable states. Recently, the snap-folding of rings, often in the form of circles or polygons, has shown the capability of inducing diverse stable configurations. The natural curvature of the rod segment (curvature in its stress-free state) plays an important role in the elastic stability of these rings, determining the number and form of their stable configurations during folding. Here, we develop a general theoretical framework for the elastic stability analysis of segmented rings (e.g., polygons) based on an energy variational approach. Combining this framework with finite element simulations, we map out all planar stable configurations of various segmented rings and determine the natural curvature ranges of their multistable states. The theoretical and numerical results are validated through experiments, which demonstrate that a segmented ring with a rectangular cross-section can show up to six distinct planar stable states. The results also reveal that, by rationally designing the segment number and natural curvature of the segmented ring, its one- or multiloop configuration can store more strain energy than a circular ring of the same total length. We envision that the proposed strategy for achieving multistability in the current work will aid in the design of multifunctional, reconfigurable, and deployable structures.

Indexed as

multistabilitynatural curvaturesegmented ringsstructural instability

Identifiers

PMID39047039
PMCPMC11295028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.