Evidence map›Paper›PMID 34640676›Full record

ArticleSensors (Basel, Switzerland)2021

Identification of Damage on Sluice Hoist Beams Using Local Mode Evoked by Swept Frequency Excitation.

Qingyang Wei, Hao Xu, Yifei Li, Li Chen, Drahomír Novák, Li Cui, Maosen Cao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

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

7 authors.

Qingyang WeiCollege of Mechanics and Materials, Hohai University, Nanjing 210098, China.
Hao XuState Key Laboratory of Structural Analysis for Industrial Equipment, Faculty of Vehicle Engineering and Mechanics, School of Aeronautics and Astronautics, Dalian University of Technology, Dalian 116024, China.
Yifei LiCollege of Mechanics and Materials, Hohai University, Nanjing 210098, China.
Li ChenDonghua Testing Technology Co., Ltd., Taizhou 214500, China.
Drahomír NovákFaculty of Civil Engineering, Brno University of Technology, 60200 Brno, Czech Republic.
Li CuiCollege of Civil and Architecture Engineering, Chuzhou University, Chuzhou 239000, China.
Maosen CaoCollege of Mechanics and Materials, Hohai University, Nanjing 210098, China.

Funding

Chinese (Jiangsu)-Czech Bilateral Co-funding R&D Project BZ2018022Fundamental Research Funds for the Central Universities 2019B52914Natural Science Foundation of Jiangsu Province BK20171439
6 · The paper itself

Abstract

As a global vibration characteristic, natural frequency often suffers from insufficient sensitivity to structural damage, which is associated with local variations of structural material or geometric properties. Such a drawback is particularly significant when dealing with the large scale and complexity of sluice structural systems. To this end, a damage detection method in sluice hoist beams is proposed that relies on the utilization of the local primary frequency (LPF), which is obtained based on the swept frequency excitation (SFE) technique and local resonance response band (LRRB) selection. Using this method, the local mode of the target sluice hoist beam can be effectively excited, while the vibrations of other components in the system are suppressed. As a result, the damage will cause a significant shift in the LPF of the sluice hoist beam at the local mode. A damage index was constructed to quantitatively reflect the damage degree of the sluice hoist beam. The accuracy and reliability of the proposed method were verified on a three-dimensional finite element model of a sluice system, with the noise resistance increased from 0.05 to 0.2 based on the hammer impact method. The proposed method exhibits promising potential for damage detection in complex structural systems.

Indexed as

VibrationReproducibility of Resultsdamage detectionhoist beamlocal modelocal primary frequencylocal resonance response band

Identifiers

PMID34640676
PMCPMC8512163

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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.