Smart tunable metamaterial concrete structures with actuator and sensor layers in the concept of stability analysis and energy management

This paper provides a unified framework for the vibration and stability analysis of sandwich-type smart metamaterial concrete plates, with functionally graded graphene origami-enabled auxetic concrete metamaterials (FGGOEAMs) and piezoelectric sensor-actuator layers. Higher-order shear deformation theory is used along with piezoelastic constitutive relations to account for the electromechanical interactions between the material and actuator layer, and will thus utilize the coupled behavior of the system. The effective properties of the composites containing graphene origami are estimated with micromechanical models that are developed and assisted by genetic programming methods. The governing equations of motion are obtained using Hamilton's principle and solved with the differential quadrature approach (DQA), providing an effective formalism for the analysis of complex multiphysics interactions. At the same time, all of the published articles are used to check the results and also to examine the global mode shapes of the system. The presented approach utilizes advanced micromechanical modeling, higher-order continuum formulations, and numerical simulations to analyze the energy management and stability properties of the metamaterial concrete plates. The system presents improvements in stability and tunable energy management, providing a strong design platform for multifunctional smart metamaterial concrete structures. This approach will bridge together analytical modeling, numerical simulation, and active design, contributing to the development of smart materials that will improve performance with applications in energy harvesting, structural health monitoring, and stability in future engineering applications.