Stability/instability of magnetorheological core sector structure for mechanical control braking system by the intelligent computer method

Abstract

ABSTRACT Due to the amazing mechanical properties of the magnetorheological (MR) materials, which can quickly transit from fluid to solid and vice versa, these materials have attracted a lot of attention among designers. So, for the first time, a dynamic stability analysis of a sandwich sector plate made of an MR core and two graphene nanoplatelets reinforced composite (GPLRC) face sheets has been presented. Using the role of mixture and Halpin–Tsai model, material properties of the GPLRC layers have been modeled. For modeling the MR core, shear stress and strain properties of MR fluids have been characterized into pre-yield and post-yield regions. Via first-order shear deformation theory, compatibility equations between the layers, and Hamilton’s principle, motion equations of the structure have been achieved. A generalized differential quadrature method with Chebyshev polynomials greed points has been applied for obtaining the responses of structure. The verification section has been separated into two parts. The first and second ones are verification between the current outcomes with the results of the published report and the machine learning method based on deep neural networks, respectively. Consequently, the results show that some geometrical and physical parameters have an important role in the dynamic stability of the current structure.