Nonlinear dynamic buckling and multi-objective design optimisation of FG-GPLRP plates

Abstract

Functionally graded graphene platelets reinforced porous (FG-GPLRP) composites have the advantages of tuneable properties, lightness, and enhanced mechanical capacity, which inspire the customised and intelligent multi-objective optimal structural designs. This study explores the nonlinear buckling response and resolves the multi-objective design optimisation of FG-GPLRP plates subjected to various biaxial impacts for the first time. Manifold practical influences on nonlinear dynamic stability and impulse-carrying capacity have been incorporated and investigated meticulously. By improving the state-of-the-art technique, the Competitive and Adaptive Learning Multi-objective Poplar Optimisation Algorithm (CALMOPOA) has been innovatively proposed for structural design optimisation. Through the developed framework, the multi-objective optimal designs of the FG-GPLRP structure possessing maximum nonlinear dynamic stability, impulse resistance ability, and contradictory minimum composite mass, have been resolved in the form of the Pareto front. In numerical studies, the CALMOPOA is compared against competitive and prevalent existing design optimisation algorithms, reflecting vast merits in superior optimal composite designs, more advantageous convergence rates and diversity characteristics. Moreover, the modularised feature of the presented structural design optimisation facilitates user-friendliness and practicality in realistic engineering applications. The proposed study can enable the demand-orientated customised, intellectualised, and modularised composite designs for the trending strategic blueprints.