2017
DOI: 10.1016/j.compstruc.2017.04.018
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Automatic reconstruction of beam structures from 3D topology optimization results

Abstract: This paper presents a fully-automated reconstruction of beam-like CAD solid structures from 3D topology optimization (TO) results. Raw TO results are first processed to generate a triangulation that represents boundaries of the optimal shape derived. This triangulation is then smoothed and a curve skeletonization procedure is carried out to recover meaningful characteristics of this smoothed triangulation. The resulting skeleton, made with curvilinear geometry, is transformed into straight lines through a norm… Show more

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Cited by 31 publications
(31 citation statements)
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“…The authors of (Stangl and Wartzack, 2015) manually define elliptical and spherical crosssections in topology optimization. In contrast to the manual selection, the authors of (Cuillière et al, 2018;Mayer and Wartzack, 2020;Nana et al, 2017;Yin et al, 2020) automatically use shape properties such as the radius of circular cross-sections (Cuillière et al, 2018;Nana et al, 2017) or the local radius (Mayer and Wartzack, 2020). The authors of (Lidayová et al, 2016) determine the crosssection of vascular bloodlines to remove nodes of a skeleton that does not suit the anatomy.…”
Section: State Of the Artmentioning
confidence: 99%
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“…The authors of (Stangl and Wartzack, 2015) manually define elliptical and spherical crosssections in topology optimization. In contrast to the manual selection, the authors of (Cuillière et al, 2018;Mayer and Wartzack, 2020;Nana et al, 2017;Yin et al, 2020) automatically use shape properties such as the radius of circular cross-sections (Cuillière et al, 2018;Nana et al, 2017) or the local radius (Mayer and Wartzack, 2020). The authors of (Lidayová et al, 2016) determine the crosssection of vascular bloodlines to remove nodes of a skeleton that does not suit the anatomy.…”
Section: State Of the Artmentioning
confidence: 99%
“…In a recent publication, the authors of (Lidayová et al, 2017) use CNN based on the cross-sections on greyscale images to remove unnecessary nodes. In contrast to the primitive cross-section of (Lidayová et al, 2017;Nana et al, 2017;Stangl and Wartzack, 2015;Yin et al, 2020), the authors of (Tang and Chang, 2001) manually determine surface skinning with B-spline cross-sections to cover the shape of the topology optimization. Therefore, the whole smooth geometry is directly defined by the control grid.…”
Section: State Of the Artmentioning
confidence: 99%
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