Evidence map›Paper›PMID 36903056›Full record

ArticleMaterials (Basel, Switzerland)2023

Fatigue Life Prediction of Notched Details Using SWT Model and LEFM-Based Approach.

Rui Hao, Zongyi Wen, Haohui Xin, Weiwei Lin

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Article in Materials (Basel, Switzerland), 2023. 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
–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

1 citing paper in PubMed.

  1. Article
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.

Rui HaoDepartment of Civil Engineering, Aalto University, 02150 Espoo, Finland.ORCID 0000-0002-2829-2549
Zongyi WenDepartment of Civil Engineering, Aalto University, 02150 Espoo, Finland.ORCID 0000-0003-0996-3236
Haohui XinDepartment of Civil Engineering, School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Weiwei LinDepartment of Civil Engineering, Aalto University, 02150 Espoo, Finland.ORCID 0000-0001-8486-6538

Funding

Aalto University ENG 2022Jane and Aatos Erkko Foundation 210018
6 · The paper itself

Abstract

The fatigue crack initiation life of unwelded steel components accounts for the majority of the total fatigue life, and the accurate prediction of it is of vital importance. In this study, a numerical model utilizing the extended finite element method (XFEM) and Smith-Watson-Topper (SWT) model is established to predict the fatigue crack initiation life of notched details extensively used in orthotropic steel deck bridges. Using the user subroutine UDMGINI in Abaqus, a new algorithm was proposed to calculate the damage parameter of SWT under high-cycle fatigue loads. The virtual crack-closure technique (VCCT) was introduced to monitor crack propagation. Nineteen tests were performed, and the results were used to validate the proposed algorithm and XFEM model. The simulation results show that the proposed XFEM model with UDMGINI and VCCT can reasonably predict the fatigue lives of the notched specimens within the regime of high-cycle fatigue with a load ratio of 0.1. The error for the prediction of fatigue initiation life ranges from -27.5% to 41.1%, and the prediction of total fatigue life has a good agreement with the experimental results with a scatter factor of around 2.

Indexed as

fatiguefatigue life predictionnumerical simulationUDMGINIXFEM

Identifiers

PMID36903056
PMCPMC10004517

What Socratic 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 Socratic graph.