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February 5, 2026Journal of Composites Science2 citationsOpen Access

Vibration-Based Structural Health Monitoring of Laminated Composite Beams Using Finite Element Modal and Harmonic Analysis

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MGMahendran GovindasamyGKGopalakrishnan KamalakannanGMGanesh Kumar Meenashisundaram

Key Points

  • This research aims to improve damage detection in laminated composite beams using advanced analysis techniques.
  • Implemented finite element analysis to model damage in GFRP composite beams.
  • Utilized the Normalized Curvature Damage Factor (NCDF) and Frequency Response Function (FRF) for damage detection.
  • Conducted experimental modal analysis to validate numerical results with fabricated composite beams.
  • Applied the Node-Releasing Technique to simulate and analyze partial-depth cracks in structural models.
  • Confirmed that NCDF provides reliable and sensitive detection of small-scale damage in composite beams.
  • Demonstrated that variations in FRF enhance damage identification capabilities.
  • Showed that combining numerical and experimental methods improves damage localization strategy.

Abstract

The present study extends the previous work which was concerned with the identification of damage in GFRP composite plates by damage detection algorithms such as the Normalized Curvature Damage Factor (NCDF), Strain Energy Difference (SED), and Damage Index (DI), using a novel damage (crack) modeling technique called the ‘Node-Releasing Technique’ (NRT) in Finite Element Analysis (FEA) for modeling and detecting perpendicular and slant partial-depth cracks in GFRP composite beams. This study explores the sensitivity of the damage modeling technique NRT in damage detection for composite beams using the NCDF algorithm, since it was concluded in the previous work that the NCDF performs better compared to the other methods when detecting both perpendicular and slant partial-depth cracks. This study also examines the variations in the Frequency Response Function (FRF) as another novel tool for identifying even small-scale damage. Most prior research in this domain has focused on variations in natural frequency, displacement mode shape, and damping as indicators for detecting and localizing structural damage through various experimental, theoretical, and computational approaches. However, these conventional parameters often lack the sensitivity required to detect small-scale damage and, still, there exists a gap in the use of the node-releasing technique in FEA to model the partial-depth perpendicular and slant crack damage in laminated composite structures, such as beam-like structures. To fill this gap, the present study attempts to use Curvature Mode Shapes (CMS)-based NCDF, obtained from numerical modal analysis, and variations in the Frequency Response Function (FRF), obtained through harmonic analysis, as more sensitive indicators for damage detection in laminated composite beams. FEA simulations are performed using the commercial FEA software package ANSYS 2021 R1 to obtain the first five flexural natural frequencies and the corresponding displacement mode shapes of both the intact and damaged composite beams. The curvature mode shapes are obtained from the displacement mode shapes data using the central difference approximation method to compute the NCDF. Simultaneously, GFRP composite beams were fabricated by the hand lay-up method, and Experimental Modal Analysis (EMA) was employed to substantiate the FE model and the validity of the numerical results. By combining both numerical and experimental methods, we proved that NCDF and FRF are reliable tools to determine and locate structural damage, even at a comparatively small scale. In general, the results indicate that NCDF is a stable and practically applicable parameter to locate cracks in laminated composite beams and provide meaningful information to be used as guidelines in applications of vibration-based structural health monitoring.

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Cite This Study

Govindasamy et al. (2026) studied this question.

synapsesocial.com/papers/698435fff1d9ada3c1fb57bahttps://doi.org/10.3390/jcs10020079
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