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MecSol 2017
6th International Symposium on Solid Mechanics
INTERPRETRATION OF DENSITY-BASED TOPOLOGY OPTIMIZATION RESULTS BY MEANS OF A TOPOLOGICAL DATA STRUCTURE
Submission Author:
Hugo Bruno , RJ
Co-Authors:
Guilherme Barros, Ivan Menezes, Luiz Fernando Martha, Andre Maues Brabo Pereira
Presenter: Hugo Bruno
doi://10.26678/ABCM.MecSol2017.MSL17-0038
Abstract
The results obtained with density-based topology optimization method are usually comprised of a discrete density field that represents the optimal material distribution within the structure. Although this technique leads to an optimal numerical solution, human intervention is often needed to obtain a practical design. One of the main steps towards obtaining the final design involves the computational modeling of the structure in order to perform further numerical simulations to verify the design criteria. This step may involve handwork and often reveals itself as a cumbersome and error-prone task. To circumvent this problem, several procedures are available in the literature concerning the geometrical interpretation of density-based results. However, none of them fully address the computational modeling i.e. geometric definition; attribute management; and discretization. This work proposes the use of the Half-Edge Topological Data Structure to automatically build 2D models from the interpreted geometric data. This data structure is particularly suitable since it is capable of handling complete planar subdivision, i.e., a subdivision of a two-dimensional space in which the entire space is filled with topological faces (no empty planar regions). Several numerical examples are present to demonstrate the efficiency and robustness of the proposed scheme.
Keywords
Topology optimization, Density Contours, Half-Edge
