Evidence map›Paper›PMID 33893099›Full record

ArticleScience advances2021

Surprising simplicity in the modeling of dynamic granular intrusion.

Shashank Agarwal, Andras Karsai, Daniel I Goldman, Ken Kamrin

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Mechanistic framework for reduced-order models in soft materials: Application to three-dimensional granular intrusion.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Mole crab-inspired vertical self-burrowing.Frontiers in robotics and AI · 2022
    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

4 authors.

Shashank AgarwalDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID http://orcid.org/0000-0002-9344-0878
Andras KarsaiDepartment of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID http://orcid.org/0000-0002-7885-2954
Daniel I GoldmanDepartment of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID http://orcid.org/0000-0002-6954-9857
Ken KamrinDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. kkamrin@mit.edu.ORCID http://orcid.org/0000-0002-5154-9787

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Granular intrusions, such as dynamic impact or wheel locomotion, are complex multiphase phenomena where the grains exhibit solid-like and fluid-like characteristics together with an ejected gas-like phase. Despite decades of modeling efforts, a unified description of the physics in such intrusions is as yet unknown. Here, we show that a continuum model based on the simple notions of frictional flow and tension-free separation describes complex granular intrusions near free surfaces. This model captures dynamics in a variety of experiments including wheel locomotion, plate intrusions, and running legged robots. The model reveals that one static and two dynamic effects primarily give rise to intrusion forces in such scenarios. We merge these effects into a further reduced-order technique (dynamic resistive force theory) for rapid modeling of granular locomotion of arbitrarily shaped intruders. The continuum-motivated strategy we propose for identifying physical mechanisms and corresponding reduced-order relations has potential use for a variety of other materials.

Identifiers

PMID33893099
PMCPMC8064642

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