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Vibrational Analysis of Fiber and Nanoparticle-Reinforced Composites Using Power Spectral Density

  • 2025
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the vibrational analysis of fiber and nanoparticle-reinforced composites, focusing on the Power Spectral Density (PSD) method to assess their dynamic performance. The study investigates the impact of varying fiber content (35%, 45%, and 55%) on the vibrational behavior of composites reinforced with a fixed 20% alumina oxide nanoparticles. The research highlights the trade-offs between stiffness and vibration damping, revealing that composites with 55% fiber content exhibit enhanced stiffness but higher stress concentrations, while those with 45% fiber content achieve a balanced performance with improved damping capabilities. The study also explores the use of the Resin Transfer Molding (RTM) process and validates the model with experimental data. The findings provide valuable insights into optimizing composite materials for dynamic applications, emphasizing the importance of fiber content in tailoring materials for specific requirements. The conclusion underscores the novel application of PSD analysis in composite design, offering a framework for developing lightweight, fatigue-resistant structures.

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Title
Vibrational Analysis of Fiber and Nanoparticle-Reinforced Composites Using Power Spectral Density
Authors
Sirine Ben Ameur
Mohamed Mtibaa
Ahmed Yaich
Moez Beyaoui
Abdelkhalak El Hami
Abdelghani Saouab
Copyright Year
2025
DOI
https://doi.org/10.1007/978-3-032-04742-7_18
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