Evidence map›Paper›PMID 37871224›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Toward the development of plasticity theories for application to small-scale metal structures.

Bin Zhang, K L Nielsen, J W Hutchinson, W J Meng

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Bin Zhang *Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803.
K L Nielsen *Department of Civil and Mechanical Engineering, Section of Solid Mechanics, Technical University of Denmark, Copenhagen DK-2800, Denmark.
J W HutchinsonSchool of Engineering and Applied Sciences, Materials Science and Mechanical Engineering, Harvard University, Cambridge, MA 02138.ORCID 0000-0001-6435-3612
W J MengDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803.ORCID 0000-0001-9164-3316

Funding

US National Science Foundation NSF EPSCoR program under awards OIA-1541079 OIA-1946231.Villum Fonden (Villum Foundation) 00028205.
6 · The paper itself

Abstract

Experiments are performed on micron-scale single-crystal prototypical structural elements experiencing combined torsion and bending to gather data on their load-carrying capacity in the range of size and strain relevant to micron-scale structures for which little data are available. The observed strengthening dependence on size for the structural elements is in general accord with trends inferred from prior tests such as indentation and pure torsion. In addition, the experiments systematically reveal the strengthening size-dependence of structural elements whose surface has been passivated by a very thin Cr coating, an effect shown to have substantial strengthening potential. A state-of-the-art strain gradient plasticity theory is used to analyze the structural elements over the entire range of size and loading. While the computed trends replicate the experimental trends with reasonable fidelity, the predictive exercise, which is representative of those that will be required in micron-scale structural analysis, brings to light constitutive and computational issues which will have to be addressed before micron-scale plasticity theory can serve as effectively at the micron scale as conventional plasticity does at larger scales.

Indexed as

micron scaleplasticitystructures

Identifiers

PMID37871224
PMCPMC10623018

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.