Topology optimization algorithms
Introduction
Topology optimization is a mathematical method that optimizes the arrangement of materials within a given design space, for a given set of loads, boundary conditions and constraints "Constraint (mathematics)"), with the goal of maximizing system performance. Topology optimization differs from shape optimization and size optimization in that the design can take any shape within the design space, rather than working with predefined configurations.
The conventional topology optimization formulation uses the finite element method (FEM) to evaluate design performance. The design is optimized using gradient-based "Optimization (mathematical)" mathematical programming techniques, such as the optimality criteria algorithm and the moving asymptote method, or gradient-free algorithms, such as genetic algorithms.
Topology optimization has a wide range of applications in aerospace, mechanical, biochemical and civil engineering. Currently, engineers use topology optimization primarily at the conceptual level of a design process. Due to the naturally occurring freeforms, the result is often difficult to manufacture. Therefore, the result of topology optimization is usually adjusted for manufacturing. Adding constraints to the formulation to increase manufacturing") is an active field of research. In some cases, the results of topology optimization can be manufactured directly using additive manufacturing; therefore, topology optimization is a key component of design for additive manufacturing.")
Problem statement
A topology optimization problem can be written in the general form of an optimization problem as:.
The problem statement includes the following:
Evaluating usually involves solving a differential equation. This is commonly done using the finite element method, since these equations have no known analytical solution.
Implementation methodologies
Contenido
Existen varias metodologías de implementación que se han utilizado para resolver problemas de optimización topológica.