Evidence map›Paper›PMID 33920715›Full record

ArticleSensors (Basel, Switzerland)2021

Detection and Quantification of Delamination Failures in Marine Composite Bulkheads via Vibration Energy Variations.

Cristobal Garcia, Alfonso Jurado, Oscar Zaba, Publio Beltran

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Cristobal GarciaTécnicas y Servicios de Ingeniería S.L., Avda. Pio XII, 44, 28016 Madrid, Spain.ORCID 0000-0003-3649-0489
Alfonso JuradoTécnicas y Servicios de Ingeniería S.L., Avda. Pio XII, 44, 28016 Madrid, Spain.ORCID 0000-0002-2677-0981
Oscar ZabaTécnicas y Servicios de Ingeniería S.L., Avda. Pio XII, 44, 28016 Madrid, Spain.
Publio BeltranTécnicas y Servicios de Ingeniería S.L., Avda. Pio XII, 44, 28016 Madrid, Spain.

Funding

Horizon 2020 Framework Programme 723360
6 · The paper itself

Abstract

This paper proposes a new vibration-based structural health monitoring method for the identification of delamination defects in composite bulkheads used in small-length fiber-based ships. The core of this work is to find out if the variations of vibration energy can be efficiently used as a key performance indicator for the detection and quantification of delamination defects in marine composite bulkheads. For this purpose, the changes of vibrational energy exerted by delamination defects in sandwich and monolithic composite panel bulkheads with different types of delamination phenomenon are investigated using a non-destructive test. Experiments show that the overall vibration energy of the bulkheads is directly dependent on the damage conditions of the specimens and therefore, the variations of this parameter are a good indicator of the incorporation of delamination defects in composite bulkheads. Additionally, the overall vibration energy changes also give interesting information about the severity of the delamination defect in the panels. Hence, this methodology based on vibratory energy can be used to accurately determine delamination defects in medium-sized composite bulkheads with the advantages of being a simple and cost-effective approach. The findings of this research possess important applications for the identification of delamination failures in composite components such as bulkheads, turbine blades, and aircraft structures, among others.

Indexed as

composite laminatesdelaminationnon-destructive evaluationsensing systemsvibration-based monitoringvibrations

Identifiers

PMID33920715
PMCPMC8074088

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.