Evidence map›Paper›PMID 34640198›Full record

ArticleMaterials (Basel, Switzerland)2021

Fatigue Life Assessment of Welded Joints by Combined Measurements Using DIC and XRD.

Yixun Wang, Kazushi Ueda, Ryota Nagao, Seiichiro Tsutsumi

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. 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
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Review
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 at 2 institutions in 1 country.

Yixun WangDepartment of Joining Design and Dependability, Joining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan.ORCID 0000-0002-0865-6368
Kazushi UedaEnergy Solution & Marine Engineering Company, Kawasaki Heavy Industries, Ltd., Kobe 650-8670, Japan.
Ryota NagaoSteel Research Laboratory, JFE Steel Corporation, Chiba City 260-0835, Japan.
Seiichiro TsutsumiDepartment of Joining Design and Dependability, Joining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan.ORCID 0000-0002-9279-0657
The University of Osaka · JPKawasaki Heavy Industries (Japan) · JP

Funding

China Scholarship Council 201906710058
6 · The paper itself

Abstract

The existing methods of assessing the fatigue life of welded joints fail to consider local strain ranges and mean stress at the weld toe. The present work proposes a novel approach to assessing the fatigue life of welded joints by conducting measurements with digital image correlation (DIC) and X-ray diffraction (XRD) in combination. Local strain ranges at the weld toe of gusset welded joints were measured by DIC. Hammer peening was conducted on the welded joints to introduce different initial stresses. The influence of mean stress was investigated by considering initial residual stress measured by XRD and a perfect plastic material model. The fatigue experiment was carried out on specimens with and without hammer peening. The results showed that hammer peening could offset adverse welding deformation effectively, and introduce significant residual compressive stress. The fatigue failure life increased by more than 15 times due to hammer peening. The fatigue initiation life assessed by the proposed method was close to that based on nominal stress, indicating that the proposed method is reliable for predicting the fatigue initiation life of welded joints.

Indexed as

assessment methoddigital image correlation (DIC)fatigue lifehammer peeningX-ray diffraction (XRD)

Identifiers

PMID34640198
PMCPMC8510440
OpenAlexW3203261308

What OpenQuestion holds

Textmetadata
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.