TOPOLOGY OPTIMIZATION IN STRUCTURAL ENGINEERING

Abstract

This thesis explores topology optimization for designing efficient structures using volumeconstrained compliance minimization and stress-constrained volume minimization. The Solid Isotropic Material with Penalization (SIMP) and Bi-directional Evolutionary Structural Optimization (BESO) methods are employed to optimize material distribution. Volumeconstrained compliance minimization enhances structural stiffness by optimizing material layout within a specified volume, while stress-constrained volume minimization reduces material usage while maintaining structural integrity. Abaqus, a leading finite element analysis (FEA) tool, is utilized for simulations, with its Python scripting interface automating the optimization process. This integration enables efficient and repeatable optimization procedures, allowing for extensive design iterations. The results demonstrate the effectiveness of SIMP and BESO in achieving optimal material distributions, enhancing design performance and material efficiency.