Elaboration of a Multi-Objective Optimization Method for High-Speed Train Floors Using Composite Sandwich Structures

The transportation industry needs lightweight structures to meet economic and environmental demands. Composite sandwich offer high stiffness low mass, making them ideal for weight reduction in high-speed trains. objective of this research is develop a method cost optimization floors studied floor structure consists Fiber Metal Laminates (FML) face sheets honeycomb core. Different variations FMLs were investigated define the optimal minimum cost. Neighborhood Cultivation Genetic Algorithm (NCGA) was used search design space, Finite Element Method (FEM) construct train car panel. FEM results had maximum difference about 11%. study concluded that using made entirely Fiber-Reinforced Plastic (FRP) or (FMLs) resulted significant savings approximately 62% 32%, respectively, compared aluminum, but lighter associated with higher main contribution elaboration multi-objective utilizes wide range constituent materials structural components order weight- cost-optimized structures.