Evidence map›Paper›PMID 42590555›Full record

ArticleSensors (Basel, Switzerland)2026

Experimental Research on Online Monitoring of Crack Evolution Process of π-Type Beams Based on Ultra-Weak FBG Array Sensing Technology.

Qiuming Nan, Yichan Zhang, Juncheng Zeng, Sheng Li, Lina Yue, Yan Yang, Min Zhou, Qi Hu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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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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

8 authors.

Qiuming NanNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China.ORCID 0009-0001-5721-4742
Yichan ZhangSchool of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0009-0002-2854-2744
Juncheng ZengFujian Provincial Expressway Technology Innovation Research Institute Co., Ltd., Fuzhou 350001, China.ORCID 0000-0002-4012-4839
Sheng LiNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0001-9300-5895
Lina YueNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China.ORCID 0000-0002-0579-1257
Yan YangNational Engineering Research Center of Fiber Optic Sensing Technology and Networks, Wuhan University of Technology, Wuhan 430070, China.ORCID 0009-0002-6073-4535
Min ZhouFengli Optoelectronics Technology Co., Ltd., Wuhan 430070, China.ORCID 0009-0004-1751-2405
Qi HuSchool of Information Engineering, Wuhan University of Technology, Wuhan 430070, China.ORCID 0009-0000-1449-9955

Funding

Fujian Provincial Science and Technology Major Special Project No. 2025HZ041002Hubei Provincial Department of Science and Technology under No. 2024BAB022Hubei Provincial Natural Science Foundation Joint Fund Key Program No. 2026AFC1158National Natural Science Foundation of China No. U2433209Unveiling and Leading Technology Project ZLGS-1
6 · The paper itself

Abstract

Traditional crack monitoring methods, relying on discrete point sensors, cannot capture the full spatiotemporal evolution of cracks. To address this limitation, this paper presents a distributed online monitoring approach using ultra-weak Fiber Bragg Grating (UWFBG) array sensing technology. A 16 m full-scale π-beam was instrumented with a grating array strain sensing system and tested under progressive mid-span loading until failure. The array successfully detected crack initiation at 848.7 kN (0.9P1) and tracked the transformation from L-shaped to U-shaped cracks, yielding a final crack count of 90 with a maximum width of 1.21 mm and length of 246.5 cm at 1791.7 kN. The strain-load curves exhibited a clear linear-to-nonlinear transition and continuous slope increase, closely matching manual observations. Quantitative correlation analysis further established a strong linear relationship between UWFBG peak strains and manually measured crack widths, with the fitting equation ε=7918·w-110 and a coefficient of determination R

Indexed as

crack evolutiongrating arrayonline monitoringπ-shaped beam

Identifiers

PMID42590555
PMCPMC13469586

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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.