A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves
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...
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-96150-z |
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| author | Akshay Prakash Kalgutkar Shirsendu Sikdar Sauvik Banerjee Karl Walton Rakesh Mishra |
| author_facet | Akshay Prakash Kalgutkar Shirsendu Sikdar Sauvik Banerjee Karl Walton Rakesh Mishra |
| author_sort | Akshay Prakash Kalgutkar |
| collection | DOAJ |
| description | 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®, and experimental validation is performed to ensure accurate and reliable results. The study focuses on GW propagation and scattering behaviour under varying damage scenarios, exploring the effects of damage size, position, and its offset on wave features. Parametric analyses show significant variations in wave characteristics such as group velocity, amplitude, and mode features. A waveform and statistical approach incorporating continuous wavelet transform (CWT) and energy enables precise damage classification. Results show that abrasion-induced damages cause substantial changes in GW features in terms of DIs and statistical parameters, while hairline cracks marginally affect the damage indices and wave features, aiding in distinguishing between different damage types. These findings contribute to the development of robust damage identification algorithms for structural health monitoring, providing valuable insights for optimising the maintenance and performance of composite structures in critical engineering environments, ensuring safety and operational efficiency. |
| format | Article |
| id | doaj-art-3aea3e6e239e4ce08157c59e5f12171c |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-3aea3e6e239e4ce08157c59e5f12171c2025-08-20T03:45:57ZengNature PortfolioScientific Reports2045-23222025-04-0115112810.1038/s41598-025-96150-zA hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided wavesAkshay Prakash Kalgutkar0Shirsendu Sikdar1Sauvik Banerjee2Karl Walton3Rakesh Mishra4Civil Engineering Department, Indian Institute of Technology BombaySchool of Computing and Engineering, University of HuddersfieldCivil Engineering Department, Indian Institute of Technology BombaySchool of Computing and Engineering, University of HuddersfieldSchool of Computing and Engineering, University of HuddersfieldAbstract 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®, and experimental validation is performed to ensure accurate and reliable results. The study focuses on GW propagation and scattering behaviour under varying damage scenarios, exploring the effects of damage size, position, and its offset on wave features. Parametric analyses show significant variations in wave characteristics such as group velocity, amplitude, and mode features. A waveform and statistical approach incorporating continuous wavelet transform (CWT) and energy enables precise damage classification. Results show that abrasion-induced damages cause substantial changes in GW features in terms of DIs and statistical parameters, while hairline cracks marginally affect the damage indices and wave features, aiding in distinguishing between different damage types. These findings contribute to the development of robust damage identification algorithms for structural health monitoring, providing valuable insights for optimising the maintenance and performance of composite structures in critical engineering environments, ensuring safety and operational efficiency.https://doi.org/10.1038/s41598-025-96150-zHollow composite memberGuided waveSurface abrasionHairline crackPiezoelectric transducers |
| spellingShingle | Akshay Prakash Kalgutkar Shirsendu Sikdar Sauvik Banerjee Karl Walton Rakesh Mishra A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves Scientific Reports Hollow composite member Guided wave Surface abrasion Hairline crack Piezoelectric transducers |
| title | A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves |
| title_full | A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves |
| title_fullStr | A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves |
| title_full_unstemmed | A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves |
| title_short | A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves |
| title_sort | hybrid theoretical numerical experimental framework for robust health monitoring of thin walled hollow composite members using guided waves |
| topic | Hollow composite member Guided wave Surface abrasion Hairline crack Piezoelectric transducers |
| url | https://doi.org/10.1038/s41598-025-96150-z |
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