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“…In order to obtain more discrete solutions than provided by the original density filter (12), Guo and Gu (2004) have suggested a modification to (10) where they multiply the filtered density with the original variable, i.e.…”
Section: Modified Density Filteringmentioning
confidence: 99%
“…For density filtering methods, the vector ρ should only be seen as a mathematical design variable; the physical density distribution to be plotted is given by the filtered vectorρ. When the filtered densities are plotted for the examples from the paper by Guo and Gu (2004) many grey elements are observed, hence the basic idea of the method fails. There are two other problems with Guo and Gu's implementation.…”
In order to ensure manufacturability and mesh-independence in density-based topology optimization schemes it is imperative to use restriction methods. This paper introduces a new class of morphology based restriction schemes which work as density filters, i.e. the physical stiffness of an element is based on a function of the design variables of the neighboring elements. The new filters have the advantage that they eliminate grey scale transitions between solid and void regions. Using different test examples, it is shown that the schemes in general provide black and white designs with minimum length-scale constraints on either or both minimum hole sizes and minimum structural feature sizes. The new schemes are compared with methods and modified methods found in the literature.
“…In order to obtain more discrete solutions than provided by the original density filter (12), Guo and Gu (2004) have suggested a modification to (10) where they multiply the filtered density with the original variable, i.e.…”
Section: Modified Density Filteringmentioning
confidence: 99%
“…For density filtering methods, the vector ρ should only be seen as a mathematical design variable; the physical density distribution to be plotted is given by the filtered vectorρ. When the filtered densities are plotted for the examples from the paper by Guo and Gu (2004) many grey elements are observed, hence the basic idea of the method fails. There are two other problems with Guo and Gu's implementation.…”
In order to ensure manufacturability and mesh-independence in density-based topology optimization schemes it is imperative to use restriction methods. This paper introduces a new class of morphology based restriction schemes which work as density filters, i.e. the physical stiffness of an element is based on a function of the design variables of the neighboring elements. The new filters have the advantage that they eliminate grey scale transitions between solid and void regions. Using different test examples, it is shown that the schemes in general provide black and white designs with minimum length-scale constraints on either or both minimum hole sizes and minimum structural feature sizes. The new schemes are compared with methods and modified methods found in the literature.
“…Perimeter control and gradient constraint algorithms add constraints to the optimization problem and require additional computational effort [25]. Alternatively, density filters modify the material interpolation scheme to achieve edge-preserving characteristics [36][37][38][39][40]. However, these filters require a nontrivial parameter tuning.…”
Section: Summary Of Existing Topology Optimization Approachesmentioning
With the fast development of computational mechanics and the capacity as well as the speed of modern computers, simulation-based structural optimization has become an indispensable tool in the design process of competitive products. This paper presents a brief description of the current status of structural optimization by reviewing some significant progress made in the last decades. Potential research topics are also discussed. The entire literatures of the field are not covered due to the limitation of the length of paper. The scope of this review is limited and closely related to the authors' own research interests.
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