Adaptive vibration control of smart hybrid nanocomposite reinforced the sport structures with machine learning – Optimized state-dependent damping

This study introduces a novel approach for vibration control in smart hybrid nanocomposite-reinforced sport structures, utilizing the Time-Delay Feedback Controller with Derivative Action (TDF controller with DA). The Carrera unified formulation (CUF) is employed to create a mathematical model that captures the dynamic behavior of these structures under high-impact and oscillatory forces. The TDF controller with DA incorporates time-delay feedback combined with derivative action to improve system stability and mitigate vibrations under dynamic loading. The hybrid nanocomposite material, comprising ZnO (zinc oxide), and GO (graphene oxide) enhances the mechanical and electromechanical properties of the sport structures, making them ideal for high-performance applications. Functionally graded nanocomposite face sheets, integrated with piezoelectric sensor-actuator layers, allow real-time adaptive control, dynamically adjusting damping characteristics in response to external disturbances. Rigorous simulations demonstrate that the TDF controller with DA outperforms traditional control methods, significantly reducing vibrations and enhancing dynamic stability. This research establishes a foundation for developing next-generation sport structures that offer superior resilience and longevity. The proposed approach shows great promise for improving the design and performance of sports equipment and infrastructure, particularly in environments with frequent high-impact forces.