2016
DOI: 10.1016/j.cma.2016.06.027
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Feature-driven topology optimization method with signed distance function

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Cited by 141 publications
(34 citation statements)
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“…where / , / s , and / t are determined in accordance with Equation (31). According to Equation (12), s / d s i and ∇ s can be calculated as…”
Section: Sensitivity Analysis With Respect To Shape and Topology Varimentioning
confidence: 99%
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“…where / , / s , and / t are determined in accordance with Equation (31). According to Equation (12), s / d s i and ∇ s can be calculated as…”
Section: Sensitivity Analysis With Respect To Shape and Topology Varimentioning
confidence: 99%
“…In recent years, great interest arises in a more efficient feature‐driven topology optimization method using implicit features and FE model with fixed mesh. Until now, superellipses, curved skeletons, bars with circular ends, engineering features constructed by means of Boolean operations, and closed B‐spline (CBS) curves have been developed for the definitions of solid and void features. This type of method is a promising approach that reflects the feature design intent of engineers and can easily be implemented in the computer‐aided design (CAD) framework.…”
Section: Introductionmentioning
confidence: 99%
“…Kang and Wang and Wang et al first introduced design variables (orientation and position variables) defining the layout of embedded components into the level set‐based geometrical representation in topology optimization problems . Recently, several other explicit geometry‐based parameterization schemes have also been studied . In these methods, the structural geometry is determined by the intersection of some geometry components and is optimized by updating the parameters representing the layout and the shape of these components.…”
Section: Introductionmentioning
confidence: 99%
“…34,35 Recently, several other explicit geometry-based parameterization schemes have also been studied. [36][37][38][39] In these methods, the structural geometry is determined by the intersection of some geometry components and is optimized by updating the parameters representing the layout and the shape of these components.…”
Section: Introductionmentioning
confidence: 99%
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