Novel mechanism for subsiding destructive consequences of simultaneous exertion of mechanical shock on the nanocomposite structures using 3D-flexibility theory and data-driven solution

Doubly-curved shells due to their extreme stiffness and small weight are innovative structures for applications in civil, biomedical, and other engineering fields. For the first time, with the aid of a time-dependent wave propagation approach, free and forced vibrations of graphene platelets-reinforced doubly curved panel is presented. 3D-flexibility theory, equilibrium condition, and space-state differential equations expressed in the Laplace and spatial domain are used to model the current work's motion equations. Half-sine loading with a specific duration time is presented as the external mechanical loading on the current curved open-type shell structure. Due to a wide range of applications such as encountering some curved parts with external loading, it is essential to improve the mechanical properties. To improve the mechanical properties of the open-type shell structure, graphene nanoplatelet (GPL) reinforcement is presented. The machine learning model is developed using datadriven solutions and mathematical simulation (MS). Initially, the MS analyzes the composite panels analytically under different situations. The data-driven model is then trained using the Levenberg-Marquardt approach using the outputs of the MS model (410 configurations). The impact of different parameters on the composite panel's amplitude motion is then assessed using a data-driven model. The results of the current study are useful suggestions for designing composite systems such as composite panels under external shock.