Magnetic Field‐Based Strategy for Damage Detection and Stratigraphy Assessment for Structural Health Monitoring Applications

Strong efforts are being carrying out to implement efficient and accurate structural health monitoring (SHM) strategies for large surfaces. The criticality of high demanding structures, such as vessels, pipelines, or aircrafts, requires costly integrity inspections to ensure their performance and security. This study presents a novel SHM approach using magnetic particles for precise damage detection and coating stratigraphy assessment. The methodology is demonstrated on an industrially produced sheet molding compound (SMC) laminate composite, incorporating an epoxy coating layer doped with 20 wt% NdFeB particles. The coating achieves a coercive field (Hc) of 7000 Oe and a saturation magnetization (Ms) of 136.8 emu g −1 . Uniform dispersion of magnetic particles is confirmed, while surface characterization indicates minimal impact on roughness and wettability. Mechanical testing shows a negligible effect on flexural modulus but a reduction in bending strength due to constrained molecular mobility. Magnetic flux mapping enables fast and accurate damage detection and coating depth assessment. Perpendicular magnetization enhances damage detection and sensitivity, while longer acquisition times (3 s) and higher magnetization fields (1.1 T) improve resolution and facilitate thickness evaluation. These findings highlight the potential of these coatings for SHM, offering precise damage detection and insights into coating uniformity, ultimately supporting advanced monitoring solutions for critical structures.

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Publication Details

Journal
Advanced Engineering Materials
Published
2025-09-21
DOI
https://doi.org/10.1002/adem.202501217
Primary Topic
Non-Destructive Testing Techniques
Type
article
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article

Magnetic Field‐Based Strategy for Damage Detection and Stratigraphy Assessment for Structural Health Monitoring Applications

Senentxu Lanceros-Méndez, Carmen R. Tubío, P. Martins, L. Amorim et al.
Advanced Engineering Materials
Non-Destructive Testing Techniques
article

Magnetic Field‐Based Strategy for Damage Detection and Stratigraphy Assessment for Structural Health Monitoring Applications

Senentxu Lanceros-Méndez, Carmen R. Tubío, P. Martins, L. Amorim, Rubén Seoane-Rivero
article en

Abstract

Strong efforts are being carrying out to implement efficient and accurate structural health monitoring (SHM) strategies for large surfaces. The criticality of high demanding structures, such as vessels, pipelines, or aircrafts, requires costly integrity inspections to ensure their performance and security. This study presents a novel SHM approach using magnetic particles for precise damage detection and coating stratigraphy assessment. The methodology is demonstrated on an industrially produced sheet molding compound (SMC) laminate composite, incorporating an epoxy coating layer doped with 20 wt% NdFeB particles. The coating achieves a coercive field (Hc) of 7000 Oe and a saturation magnetization (Ms) of 136.8 emu g −1 . Uniform dispersion of magnetic particles is confirmed, while surface characterization indicates minimal impact on roughness and wettability. Mechanical testing shows a negligible effect on flexural modulus but a reduction in bending strength due to constrained molecular mobility. Magnetic flux mapping enables fast and accurate damage detection and coating depth assessment. Perpendicular magnetization enhances damage detection and sensitivity, while longer acquisition times (3 s) and higher magnetization fields (1.1 T) improve resolution and facilitate thickness evaluation. These findings highlight the potential of these coatings for SHM, offering precise damage detection and insights into coating uniformity, ultimately supporting advanced monitoring solutions for critical structures.

Advanced Engineering MaterialsVol. 27(21)
Ikerbasque (ES), University of the Basque Country (ES), Basque Center for Materials, Applications and Nanostructures (ES), GAIKER Technology Centre (ES), Institute for Sustainability (GB), University of Minho (PT)
Openalex Percentile: Top 74%
Non-Destructive Testing Techniques
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