Evidence map›Paper›PMID 35890722›Full record

ArticlePolymers2022

Progressive Damage Behaviour Analysis and Comparison with 2D/3D Hashin Failure Models on Carbon Fibre-Reinforced Aluminium Laminates.

Haichao Hu, Qiang Wei, Boya Liu, Yun Liu, Ning Hu, Quanjin Ma, Chuancai Wang

Abstract read
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Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

7 authors.

Haichao HuSchool of Mechanical and Engineering, Tianjin Sino-German University of Applied Sciences, Tianjin 300350, China.
Qiang WeiSchool of Materials Science and Engineering, Hebei University of Technology, Tianjin 300401, China.ORCID 0000-0002-4620-5269
Boya LiuSchool of Mechanical and Engineering, Tianjin Sino-German University of Applied Sciences, Tianjin 300350, China.
Yun LiuBeijing Zhongjia Hongsheng Power Engineering Co., Ltd., Beijing 100176, China.
Ning HuSchool of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China.
Quanjin MaStructural Performance Materials Engineering (SUPERME) Focus Group, Faculty of Mechanical & Automotive Engineering Technology, Universiti Malaysia Pahang, Pekan 26600, Pahang, Malaysia.ORCID 0000-0002-0973-4794
Chuancai WangSchool of Mechanical and Engineering, Tianjin Sino-German University of Applied Sciences, Tianjin 300350, China.

Funding

Science & Technology Development Fund of Tianjin Education Commission for Higher Education 2021KJ099The Tianjin Technical Expert Project 20YDTPJC01890
6 · The paper itself

Abstract

It is known that carbon fibre-reinforced aluminium laminate is the third generation of fibre metal materials. This study investigates the response of carbon fibre-reinforced aluminium laminates (CARALL) under tensile loading and three-point bending tests, which evaluate the damage initiation and propagation mechanism. The 2D Hashin and 3D Hashin VUMAT models are used to analyse and compare each composite layer for finite element modelling. A bilinear cohesive contact model is modelled for the interface failure, and the Johnson cook model describes the aluminium layer. The mechanical response and failure analysis of CARALL were evaluated using load versus deflection curves, and the scanning electron microscope was adopted. The results revealed that the failure modes of CARALL were mainly observed in the aluminium layer fracture, fibre pull-out, fracture, and matrix tensile fracture under tensile and flexural loading conditions. The 2D Hashin and 3D Hashin models were similar in predicting tensile properties, flexural properties, mechanical response before peak load points, and final failure modes. It is highlighted that the 3D Hashin model can accurately reveal the failure mechanism and failure propagation mechanism of CARALL.

Indexed as

2D/3D Hashin theoriesCARALLcarbon fibre–reinforced aluminium laminatesfailure mechanismflexural propertiestensile properties

Identifiers

PMID35890722
PMCPMC9324354

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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.