2018
DOI: 10.1016/j.mechmachtheory.2018.07.013
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Simultaneous topology and size optimization of a 3D variable-length structure described by the ALE–ANCF

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Cited by 20 publications
(3 citation statements)
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“…The results reveal that the axially variable-length solid element of ALE-ANCF proposed in the paper is accurate. The solid element makes it possible to simulate the dynamics multibody systems in engineering and to optimize 3D variable-length flexible bodies of those multibody systems, such as an axially moving beam carrying a tip mass and the first-stage deployment of a spinning solar sail [21].…”
Section: Discussionmentioning
confidence: 99%
“…The results reveal that the axially variable-length solid element of ALE-ANCF proposed in the paper is accurate. The solid element makes it possible to simulate the dynamics multibody systems in engineering and to optimize 3D variable-length flexible bodies of those multibody systems, such as an axially moving beam carrying a tip mass and the first-stage deployment of a spinning solar sail [21].…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, the deformations of the structural components in this work are assumed to be small such that multibody formulations relying on the small-deformation assumption can be used. Nevertheless, interesting works on structural optimization that are described using the Absolute Nodal Coordinates Formulation (ANCF) have been published [6,7,8,9,10].…”
Section: Introductionmentioning
confidence: 99%
“…In Reference 17, a set of moving morphable voids described by B-spline curves was adopted as basic building blocks for topology optimization. Due to the big potential in providing explicit geometry information, MMC/MMV has extended to solve three-dimensional problems, 18,19 shell optimization problems, 20,21 crash problems, 22 flexible multibody problems, [23][24][25] length scale control problems, 26,27 and so on. [28][29][30][31][32][33] Additionally, a similar idea to MMC has also been proposed in References 34-38 by using geometry projection technique under SIMP framework.…”
Section: Introductionmentioning
confidence: 99%