Evidence map›Paper›PMID 36614467›Full record

ArticleMaterials (Basel, Switzerland)2022

Simulation Analysis and Experimental Study of the Strength of Aluminum Alloy Suspension Structure.

Wenxue Qian, Ningxiang Wu, Hao Li, Xiaowei Yin, Liyang Xie

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. 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.

Wenxue QianSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.ORCID 0000-0001-7271-8597
Ningxiang WuSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Hao LiSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.
Xiaowei YinSchool of Mechanical, Shenyang Institute of Engineering, Shenyang 110136, China.
Liyang XieSchool of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China.

Funding

National Natural Science Foundation of China 52175131
6 · The paper itself

Abstract

High-speed trains have a large amount of ancillary equipment, which is suspended from the underside of the train by means of a suspension structure. Due to the large mass of the ancillary equipment, the suspension structure is subjected to various loads during train operation and there is a risk of fatigue failure. In this paper, the stress distribution at the suspension point and the lo-cation of the maximum stress point under load are investigated in detail based on actual test loads at the suspension point and finite element simulation analysis. In order to further investigate the fracture failure of the suspension points, experimental studies were carried out. Firstly, static strength tests were carried out to obtain the load-displacement curves of the structural members and to determine the fracture strength of the structure based on the displacement sensors, and secondly, fatigue tests at different stress levels were carried out to obtain the load-life curves of the structural members and to investigate the probabilistic load-life curves at different reliability levels. The test results show that the structural component has a high fracture strength of 65kN, while the conditional fatigue strength is relatively low, corresponding to a load level of 12.5kN at a median life of 10

Indexed as

aluminum suspension structurefatigue lifeload–life curvesimulation analysis

Identifiers

PMID36614467
PMCPMC9821437

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.