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Advances in Nano Research Volume 18, Number 3, March 2025 , pages 223-239 DOI: https://doi.org/10.12989/anr.2025.18.3.223 |
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Novel methodology to mitigate vibrations in nanocomposites reinforced smart systems rested on concrete auxetic foundation by artificial intelligence algorithm |
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Hao Li, Cheng Zhang, Yudong Han, Tong Zhang and Ameni Brahmia
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| Abstract | ||
| This study presents a novel methodology for mitigating vibrations in sandwich plates with sensor/actuator face sheets and a carbon nanotube (CNT)-reinforced core, resting on a concrete auxetic foundation under external loading. A comprehensive mathematical simulation framework is developed, incorporating higher-order shear deformation theory and Hamilton's principle to model the dynamic behavior of the system. The proposed approach integrates an artificial intelligence-based deep neural network (DNN) to enhance accuracy and validate the numerical results. The sensor/actuator face sheets, equipped with piezoelectric layers, enable active control of vibrations through real-time feedback mechanisms, while the CNT-reinforced core enhances stiffness and damping characteristics. The unique auxetic properties of the concrete foundation further contribute to energy dissipation and vibration reduction. The study systematically examines the effects of CNT distribution, auxetic parameters, and control strategies on the dynamic response of the sandwich plate. The mathematical model is trained using high-fidelity datasets, and the DNN algorithm optimizes predictive accuracy, demonstrating superior agreement with benchmark numerical solutions. Results confirm the efficacy of the proposed methodology in reducing vibrations, offering significant improvements over conventional passive and active control techniques. The developed framework provides valuable insights for designing intelligent structural systems with enhanced vibration suppression capabilities, contributing to the advancement of high-performance aerospace, civil, and mechanical engineering applications. Future research directions include experimental validation and extending the approach to nonlinear dynamic regimes. | ||
| Key Words | ||
| carbon nanotube reinforcement; concrete auxetic foundation; deep neural networks; sandwich plate; vibration mitigation | ||
| Address | ||
| Hao Li, Yudong Han and Tong Zhang: School of Civil Engineering, University of Science and Technology Liaoning, Anshan, 114051, China Cheng Zhang: Liaoning Metallurgical Geological Exploration Research Institute Co, Anshan, 114038, China Ameni Brahmia: Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, 61413 Abha, Saudi Arabia | ||