Optimization of material distribution in functionally graded structures with stress constraints

Abstract

SUMMARYThis work describes a topology optimization framework to design the material distribution of functionally graded structures considering mechanical stress constraints. The problem of interest consists in minimizing the volumetric density of a material phase subjected to a global stress constraint. Due to the existence of microstructure, the micro-level stress is considered, which is computed by means of a mechanical concentration factor using a p-norm of the Von Mises stress criterium (applied to the micro-level stress). Because a 0-1 (void-solid) material distribution is not being sought, the singularity phenomenon of stress constraint does not occur as long as the material at any point of the medium does not vanish and it varies smoothly between material 1 and material 2. To design a smoothly graded material distribution, a material model based on a non-linear interpolation of the Hashin-Strikhman upper and lower bounds is considered. Consistently with the framework adopted here in, the so-called 'continuous approximation of material distribution' approach is employed, which considers a continuous distribution of the design variable inside the finite element. As examples, the designs of functionally graded disks subjected to centrifugal body force are presented. The method generates smooth material distributions, which are able to satisfy the stress constraint.

Multi-constrained topology optimization via the topological sensitivity

“…In (Stump et al 2007), the authors proposed a framework to design the material distribution of functionally graded structures with a tailored Von Mises stress field. In (Paris et al 2009), the authors studied the weight minimization problems with global or local stress constraints, in which the global stress constraints are defined by the KreisselmeierSteinhauser function.…”

Large‐scale topology optimization using preconditioned Krylov subspace methods with recycling

“…Topology optimization is a powerful structural optimization method that combines a numerical solution method, usually the finite element method (FEM), with an optimization algorithm to find the optimal material distribution inside a given domain [7,8,9,10,11,12]. In designing the topology of a structure we determine which points of space should be material and which points should be void (i.e.…”

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