Evidence map›Paper›PMID 38005678›Full record

ArticleSensors (Basel, Switzerland)2023

Damage Identification in Cement-Based Structures: A Method Based on Modal Curvatures and Continuous Wavelet Transform.

Gloria Cosoli, Milena Martarelli, Alessandra Mobili, Francesca Tittarelli, Gian Marco Revel

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Gloria CosoliDepartment of Industrial Engineering and Mathematical Sciences, Marche Polytechnic University, 60131 Ancona, Italy.ORCID 0000-0001-7982-208X
Milena MartarelliDepartment of Industrial Engineering and Mathematical Sciences, Marche Polytechnic University, 60131 Ancona, Italy.ORCID 0000-0002-7447-6541
Alessandra MobiliDepartment of Materials, Environmental Sciences and Urban Planning, Marche Polytechnic University, 60131 Ancona, Italy.ORCID 0000-0002-0891-5649
Francesca TittarelliDepartment of Materials, Environmental Sciences and Urban Planning, Marche Polytechnic University, 60131 Ancona, Italy.ORCID 0000-0001-5805-6822
Gian Marco RevelDepartment of Industrial Engineering and Mathematical Sciences, Marche Polytechnic University, 60131 Ancona, Italy.ORCID 0000-0002-3372-7543

Funding

Italian Ministry of Research ARS01_00592
6 · The paper itself

Abstract

Modal analysis is an effective tool in the context of Structural Health Monitoring (SHM) since the dynamic characteristics of cement-based structures reflect the structural health status of the material itself. The authors consider increasing level load tests on concrete beams and propose a methodology for damage identification relying on the computation of modal curvatures combined with continuous wavelet transform (CWT) to highlight damage-related changes. Unlike most literature studies, in the present work, no numerical models of the undamaged structure were exploited. Moreover, the authors defined synthetic damage indices depicting the status of a structure. The results show that the I mode shape is the most sensitive to damages; indeed, considering this mode, damages cause a decrease of natural vibration frequency (up to approximately -67%), an increase of loss factor (up to approximately fivefold), and changes in the mode shapes morphology (a cuspid appears). The proposed damage indices are promising, even if the level of damage is not clearly distinguishable, probably because tests were performed after the load removal. Further investigations are needed to scale the methodology to in-field applications.

Indexed as

cement-based structurecontinuous wavelet transformdamage identificationmodal analysismodal curvatureStructural Health Monitoring

Identifiers

PMID38005678
PMCPMC10674468

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.