A hybrid theoretical-numerical-experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves.

Akshay Prakash Kalgutkar, Shirsendu Sikdar, Sauvik Banerjee, Karl Walton, Rakesh Mishra

Abstract read

In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Multi-Fluid Pipeline Leak Detection and Classification Using Savitzky-Golay Scalograms and Lightweight Vision Transformer Featuring Streamlined Self-Attention.Sensors (Basel, Switzerland) · 2025
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.

Akshay Prakash KalgutkarCivil Engineering Department, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.

Shirsendu SikdarSchool of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK. s.sikdar@hud.ac.uk.

Sauvik BanerjeeCivil Engineering Department, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.

Karl WaltonSchool of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.

Rakesh MishraSchool of Computing and Engineering, University of Huddersfield, Queensgate, Huddersfield, HD1 3DH, UK.

Funding

University of Huddersfield's International Research Development Fund QR24SR009University of Huddersfield's URF Grant QR24E025

6 · The paper itself

Abstract

Thin-walled hollow composite members (HCM) are extensively employed in aerospace and automotive industries due to their high strength-to-weight ratio and design flexibility. This study introduces a hybrid -numerical-experimental framework for robust detection and characterisation of barely visible damage in HCM using guided waves (GW). It focuses on assessing surface abrasion and hairline cracks, two common yet challenging damage types encountered in the field. A semi-analytical finite element (SAFE) formulation is developed for the dispersion analysis alongside numerical simulations using finite element software COMSOL Multiphysics

Indexed as

Guided waveHairline crackHollow composite memberPiezoelectric transducersSurface abrasion

Identifiers

PMID40204914

DOI10.1088/0964-1726/23/9/095015

PMCPMC11982390

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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.