Optimal Design of Conical Advanced Grid Structures

The purpose of this paper is to propose a method to optimize conical advanced grid structures (AGS) under axially compressive load. Optimization has dealt with genetic algorithm (GA) technique for minimization of the mass of the lattice of AGS based on the formulation of the main failure mechanism of structure under compressive loads. The optimization problem has mixed continuous and discrete design variable. Furthermore, experimental tests were performed according to ASTM standards using an INSTRON testing machine. The diagrams of axial load versus displacement are recorded in real time during the tests. The AGS used in the experiment are made from glass/epoxy by filament winding processing. Different aspects of manufacturing that include tooling and other processing aspects are presented in this paper. Axial buckling tests have beencarried out and results are compared with optimization analysis. Results are summarized to identify the performance of optimization technique. Burn-off tests were performed to obtain the fiber mass content of materials according to ASTM D۳۱۷۱-۹۹ and the material properties used in modeling are determined by rule of mixtures prediction. finally proves the effectiveness of optimization technique.

کلیدواژه ها:

Optimization ، Genetic Algorithm ، Conical ، Grid Structure