Application of an isogeometric method on vibration control analysis of smart perovskite solar doubly-curved microshells
摘要
Smart perovskite solar cells provide engineers with a flexible, economical, and exceptionally efficient renewable energy alternative. Due to their adjustable material characteristics, straightforward manufacturing methods, and flexibility to integrate into various surfaces and structural elements, these devices have garnered considerable interest for sustainable energy production. Their versatility further fosters the advancement of renewable energy technology and energy-efficient architectural designs. To ensure reliable long-term operation, it is crucial to understand the mechanical behaviour of these systems, especially their response to external mechanical stimuli that could affect structural integrity and functional performance. This study examines the vibrational characteristics of a smart perovskite solar doubly curved microshell resting on a viscoelastic foundation that integrates a functionally graded graphene origami-enabled auxetic metamaterial (FG-GOEAM) layer within its metallic core, accompanied by sensor and actuator face sheets. The equations of motion are formulated using Hamilton’s principle within the context of first-order shear deformation theory (FSDT) integrated with modified couple stress theory (MCST) to address size-dependent phenomena. The resulting equations are discretized using the isogeometric analysis (IGA) approach, and the Newmark direct time-integration scheme is employed to obtain the dynamic responses of the doubly-curved microshell. A thorough parametric analysis is conducted to assess the effects of various critical parameters, such as the folding degree, distribution pattern, and weight fraction of graphene origami (GOri), along with the material length-scale parameter and microshell geometric dimensions, on the forced vibration characteristics of the FG-GOEAM doubly curved microshell. This study’s findings offer significant insights into the design and optimization of advanced microelectromechanical systems (MEMS) and energy-harvesting devices functioning under intricate environmental and mechanical circumstances.