EVOLUTIONARY STRUCTURAL OPTIMIZATION IN ENERGY ABSORPTION STRUCTURES
Evolutionary Structural Topological Optimization. BESO Method. Finite elements. Energy Absorption Structures
The use of high-performance materials has become important in many fields of engineering, such as the automotive and aerospace industries, due to limited material resources, environmental impact and technological competition. On the other hand, it is known that structural topological optimization is a tool for the development of structures with wide industrial application. Among the various existing topological optimization methods, evolutionary structural optimization has stood out for its versatility and can be used in different types of engineering problems. In an attempt to combine these fields, this work consists in the study of the evolutionary optimization method BESO (Bi-directional Evolutionary Structural Optimization) applied to linear and non-linear static systems under stiffness and stress criteria and in energy absorption structures through a Python algorithm supported by Abaqus® finite element software. To verify the efficiency and versatility of the method, it is applied to a 2D structure in linear and non-linear analysis and compared to the topologies obtained by the SIMP method. To check its computational efficiency, the technique is used in linear and non-linear optimization of a 3D structure. Finally, the method is extended to optimization of energy absorption structures in which two 2D models from the literature are used to apply the method.