Evidence map›Paper›PMID 41716230›Full record

ArticleMethodsX2026

Evaluation of ultrasonic signals collected from laboratory concrete specimens: Preprocessing and analysis with coda wave interferometry.

Eva Jägle, Rujika Tuladhar, Ernst Niederleithinger, Niklas Epple, Camila Andrea Sanchez Trujillo, Christoph Gehlen, Jithender J Timothy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2026. 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
–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

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.

Eva JägleTechnical University of Munich, TUM School of Engineering and Design, Department of Materials Engineering, Chair of Materials Science and Testing, Centre for Building Materials (cbm), Munich, BY, Germany.
Rujika TuladharTechnical University of Munich, TUM School of Engineering and Design, Department of Materials Engineering, Chair of Materials Science and Testing, Centre for Building Materials (cbm), Munich, BY, Germany.
Ernst NiederleithingerBundesanstalt für Materialforschung und -prüfung (BAM), Division 8.2 NDT methods for civil engineering, Berlin, Germany.
Niklas EppleBundesanstalt für Materialforschung und -prüfung (BAM), Division 8.2 NDT methods for civil engineering, Berlin, Germany.
Camila Andrea Sanchez TrujilloBundesanstalt für Materialforschung und -prüfung (BAM), Division 8.2 NDT methods for civil engineering, Berlin, Germany.
Christoph GehlenTechnical University of Munich, TUM School of Engineering and Design, Department of Materials Engineering, Chair of Materials Science and Testing, Centre for Building Materials (cbm), Munich, BY, Germany.
Jithender J TimothyTechnical University of Munich, TUM School of Engineering and Design, Department of Materials Engineering, Chair of Materials Science and Testing, Centre for Building Materials (cbm), Munich, BY, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient maintenance of infrastructure relies on monitoring and assessment of its condition. New technologies and methods thereby enable a deeper understanding of the materials used and of the structures built. Coda Wave Interferometry (CWI) is currently explored for continuous monitoring of reinforced concrete structures as well as material testing. This ultrasound-based method is sensitive to even small material alterations and therefore suitable for the detection of initial damage stages. Herein, a step-by-step procedure for the evaluation of ultrasonic signals with CWI methods is presented. The described procedure is proposed for ultrasonic signals collected with embedded ultrasonic transducers with a center frequency of 50 kHz to 70 kHz from prism-shaped concrete specimen with dimensions of 400 mm x 100 mm x 100 mm. The raw ultrasonic signal, preprocessing and CWI analysis are described and influences of parameters within the analysis are discussed. The presented procedure allows systematic and comparable analysis of ultrasonic signals generated with similar conditions and therefore contributes to the application of CWI methods for structural health monitoring and material testing.

Indexed as

Coda wave interferometryConcrete technologyData evaluationMicrostructureUltrasound

Identifiers

PMID41716230
PMCPMC12914846

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.