Evidence map›Paper›PMID 36984228›Full record

ArticleMaterials (Basel, Switzerland)2023

Optimization Design of the Bending-Vibration Resistance of Magnetorheological Elastomer Carbon Fibre Reinforced Polymer Sandwich Sheets.

Guangbin Wang, Yangyang Yan, Wenyu Wang, Zelin Li, Zhengwei Zhang, Zhanbin Sun, Zhou Qiao, Jinan Li, Hui Li

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. 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
0.2field-weighted citation impact, top 59% of its field
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, 1 citations in OpenAlex.

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

9 authors at 3 institutions in 1 country.

Guangbin WangSchool of Mechanical and Electrical Engineering, Lingnan Normal University, Zhanjiang 524048, China.
Yangyang YanFacility Horticulture Laboratory of Universities in Shandong, Weifang University of Science and Technology, Weifang 262700, China.
Wenyu WangSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Zelin LiSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Zhengwei ZhangSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Zhanbin SunSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Zhou QiaoSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Jinan LiSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Hui LiSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Northeastern University · CNLingnan Normal University · CNWeifang University of Science and Technology · CN

Funding

China Postdoctoral Science Foundation 2020M680990Fundamental Research Funds for the Central Universities of China Grant No. N2103026National Natural Science Foundation of China No. 52005372, 52175079 and 11972204
6 · The paper itself

Abstract

An optimization design of the bending-vibration resistance of magnetorheological elastomer carbon fibre reinforced polymer sandwich sheets (MECFRPSSs) was studied in this paper. Initially, by adopting the classical laminate theory, the Reddy's high-order shear deformation theory, the Rayleigh-Ritz method, etc., an analytical model of the MECFRPSSs was established to predict both bending and vibration parameters, with the three-point bending forces and a pulse load being considered separately. After the validation of the model was completed, the optimization design work of the MECFRPSSs was conducted based on an optimization model developed, in which the thickness, modulus, and density ratios of magnetorheological elastomer core to carbon fibre reinforced polymer were taken as design variables, and static bending stiffness, the averaged damping, and dynamic stiffness parameters were chosen as objective functions. Subsequently, an artificial bee colony algorithm was adopted to execute single-objective, dual-objective, and multi-objective optimizations to obtain the optimal design parameters of such structures, with the convergence effectiveness being examined in a validation example. It was found that it was hard to improve the bending, damping, and dynamic stiffness behaviours of the structure simultaneously as the values of design variables increased. Some compromised results of design parameters need to be determined, which are based on Pareto-optimal solutions. In further engineering application of the MECFRPSSs, it is suggested to use the corresponding design parameters related to a turning point to better exert their bending-vibration resistance.

Indexed as

bending-vibration resistancecomposite sheetmagnetorheological elastomer coremulti-objective optimizationoptimization design

Identifiers

PMID36984228
PMCPMC10056609
OpenAlexW4324381125

What OpenQuestion holds

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LicenceCC BY
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.