Evidence map›Paper›PMID 41002809›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Design and Crushing Behaviors Investigations of Novel High-Performance Bi-Tubular Tubes with Mixed Multicellular Configurations.

Zhaoji Li, Zhiwen Wang, Dejian Ma, Qingliang Zeng, Dong Ruan

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 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

5 authors.

Zhaoji LiCollege of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0001-9290-3087
Zhiwen WangCollege of Transportation, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0002-4758-3456
Dejian MaCollege of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0002-6790-4640
Qingliang ZengCollege of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China.ORCID 0000-0002-3842-9107
Dong RuanDepartment of Mechanical and Product Design Engineering, School of Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia.ORCID 0000-0001-8463-0568

Funding

National Natural Science Foundation of China 52274132National Natural Science Foundation of China 52474175National Natural Science Foundation of China U23A20599Shandong Postdoctoral Science Foundation SDCX-ZG-202400230
6 · The paper itself

Abstract

Thin-walled structures have been extensively adopted as energy absorbers in various engineering fields. The energy accumulated in the coal and rock is released instantly, resulting in varying degrees of damage and failure to support equipment. To improve the crushing performance of underground support equipment, a metal thin-walled tube with high-bearing capacities is placed in the column as an energy-absorbing column. Based on the characteristics of non-dimensional parameters governing the crashworthiness of thin-walled tubes by the author's team, a type of high-performance bi-tubular tube (HPBT) with mixed multicellular configurations is innovatively proposed. First, the finite element models of the HPBTs are established in LS-DYNA, and the accuracy of the FE model is verified by crushing tests. Second, the theoretical model of the mean crushing force (

Indexed as

bi-tubular tubescrushing behaviorshigh-performance tubesmulticellular configurationsnon-dimensional parameter

Identifiers

PMID41002809
PMCPMC12467524

What OpenQuestion holds

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LicenceCC BY
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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.