Evidence map›Paper›PMID 32331376›Full record

ArticleSensors (Basel, Switzerland)2020

The Location Monitoring of Fatigue Crack Damage by Using the Spectral Area Extracted from FBG Spectra.

Yan Zhao, DianYin Hu, Meng Zhang, Wei Dai, Weifang Zhang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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
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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

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.

Yan ZhaoResearch Institute of Aero-engine, Beihang University, 37 Xueyuan Rd., Haidian Dist., Beijing 100191, China.ORCID 0000-0002-7330-5783
DianYin HuSchool of Energy and Power Engineering, Beihang University, 37 Xueyuan Rd., Haidian Dist., Beijing 100191, China.ORCID 0000-0002-6264-670X
Meng ZhangSchool of Reliability and Systems Engineering, Beihang University, 37 Xueyuan Rd., Haidian Dist., Beijing 100191, China.ORCID 0000-0003-4673-9452
Wei DaiSchool of Reliability and Systems Engineering, Beihang University, 37 Xueyuan Rd., Haidian Dist., Beijing 100191, China.ORCID 0000-0002-7376-6977
Weifang ZhangSchool of Reliability and Systems Engineering, Beihang University, 37 Xueyuan Rd., Haidian Dist., Beijing 100191, China.ORCID 0000-0002-6222-278X

Funding

Technical foundation program (grant JSZL2017601C002) from the Ministry of Industry and Information Technology of China, National Natural Science Foundation of China (NSFC) (Grant Nos. 51675024 and 51811540406), Civil Aircraft Major Project (MJ-2018-D-26) JSZL2017601C002; 51675024; 51811540406; 6141B090314
6 · The paper itself

Abstract

In this paper, a new damage feature, spectral area, was extracted to effectively detect crack location by studying the deformation mechanism of fiber Bragg grating (FBG) reflection spectra. In order to verify the robustness and reliability of spectral area to detect crack location, the following work was carried out: Firstly, the strain information was extracted by extended finite element method (XFEM) with fatigue crack propagation. The transmission matrix method (TMM) was used to simulate FBG reflection spectra using numerical results. Secondly, the fatigue crack growth monitoring experiment based on FBG sensors was carried out, and the digital image correlation (DIC) method was used to measure the strain values at the placement of FBG sensors with crack propagation. The temperature characteristic test of FBG was carried out to investigate the influence of temperature variation on the spectral area. The results presented that the spectral area was insensitive to temperature variation and experimental noise, and was greatly sensitive to the complex non-uniform strain field cause by crack damage. Moreover, compared with the 5 mm FBG sensor, the 10 mm FBG sensor showed a larger critical detection range for crack damage. Therefore, the spectral area can be used as a reliable damage feature to detect the crack location quantitatively based on the simulated and experimental results.

Indexed as

crack location detectionFBG sensorspectral areastructural health monitoring

Identifiers

PMID32331376
PMCPMC7219326

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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.