Evidence map›Paper›PMID 34501101›Full record

ArticleMaterials (Basel, Switzerland)2021

Damage Detection at a Reinforced Concrete Specimen with Coda Wave Interferometry.

Stefan Grabke, Felix Clauß, Kai-Uwe Bletzinger, Mark Alexander Ahrens, Peter Mark, Roland Wüchner

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Stefan GrabkeChair of Structural Analysis, TU München, Arcisstraße 21, 80333 München, Germany.ORCID 0000-0002-2815-6803
Felix ClaußChair of Concrete Structures, Ruhr-Universität Bochum, Universitaätstraße 150, 44801 Bochum, Germany.ORCID 0000-0001-5361-3255
Kai-Uwe BletzingerChair of Structural Analysis, TU München, Arcisstraße 21, 80333 München, Germany.ORCID 0000-0003-1420-6440
Mark Alexander AhrensChair of Concrete Structures, Ruhr-Universität Bochum, Universitaätstraße 150, 44801 Bochum, Germany.ORCID 0000-0002-2337-1571
Peter MarkChair of Concrete Structures, Ruhr-Universität Bochum, Universitaätstraße 150, 44801 Bochum, Germany.ORCID 0000-0003-1812-2148
Roland WüchnerChair of Structural Analysis, TU München, Arcisstraße 21, 80333 München, Germany.ORCID 0000-0002-5411-9715

Funding

Deutsche Forschungsgemeinschaft 398216472
6 · The paper itself

Abstract

Reinforced concrete is a widely used construction material in the building industry. With the increasing age of structures and higher loads there is an immense demand for structural health monitoring of built infrastructure. Coda wave interferometry is a possible candidate for damage detection in concrete whose applicability is demonstrated in this study. The technology is based on a correlation evaluation of two ultrasonic signals. In this study, two ways of processing the correlation data for damage detection are compared. The coda wave measurement data are obtained from a four-point bending test at a reinforced concrete specimen that is also instrumented with fibre optic strain measurements. The used ultrasonic signals have a central frequency of 60 kHz which is a significant difference to previous studies. The experiment shows that the coda wave interferometry has a high sensitivity for developing cracks and by solving an inverse problem even multiple cracks can be distinguished. A further specialty of this study is the use of finite elements for solving a diffusion problem which is needed to state the previously mentioned inverse problem for damage localization.

Indexed as

coda wave interferometrycracks in concretedamage detectiondiffuse ultrasoundstructural health monitoring

Identifiers

PMID34501101
PMCPMC8433964

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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.