Explicit control of 2D and 3D structural complexity by discrete variable topology optimization method

The structural complexity (the number of holes) of the 2D or 3D continuum structures can be measured by their topology invariants (i.e., Euler and Betti numbers). Controlling the 2D and 3D structural complexity is significant in topology optimization design because of the various consideration, incl...

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Bibliographic Details
Published in:Computer methods in applied mechanics and engineering 2022-02, Vol.389, p.114302, Article 114302
Main Authors: Liang, Yuan, Yan, XinYu, Cheng, GengDong
Format: Article
Language:English
Subjects:
Algorithms
Apexes
Complexity
Density
Design optimization
Euler and Betti number
Formulations
Graph theory
Integer programming
Manufacturability
Optimization
Redundancy
Structural complexity control
Topology invariants
Topology optimization
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Summary:The structural complexity (the number of holes) of the 2D or 3D continuum structures can be measured by their topology invariants (i.e., Euler and Betti numbers). Controlling the 2D and 3D structural complexity is significant in topology optimization design because of the various consideration, including manufacturability and necessary structural redundancy, but remains a challenging subject. In this paper, we propose a programmable Euler–Poincaré formula to efficiently calculate the Euler and Betti numbers for the 0–1 pixel-based structures. This programmable Euler–Poincaré​ formula only relates to the nodal density and nodal characteristic vector that represents the nodal neighbor relation so that it avoids manually counting the information of the vertices, edges, and planes on the surfaces of the structure. As a result, the explicit formulations between the structural complexity (the number of holes) and the discrete density design variables for 2D and 3D continuum structures can be efficiently constructed. Furthermore, the discrete variable sensitivity of the structural complexity is calculated through the programmable Euler–Poincaré formula so that the structural complexity control problem can be efficiently and mathematically solved by Sequential Approximate Integer Programming and Canonical relaxation algorithm Various 2D and complicated 3D numerical examples are presented to demonstrate the effectiveness of the method. We further believe that this study bridges the gap between structural topology optimization and mathematical topology analysis, which is much expected in the structural optimization community.
ISSN:0045-7825
1879-2138
DOI:10.1016/j.cma.2021.114302