张拉整体拓扑合并:基于混合整数凸优化的方法

R. Khafizov, S. Savin
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引用次数: 0

摘要

提出了一种基于混合整数凸优化的多张拉整体结构合并方法。合并在建造复杂的结构时非常有用,因为这些结构由许多电缆和支柱组成,而从头开始建造这样的结构可能是不可行的。除此之外,合并过程让我们使用人类设计的结构作为结果对象的基本单位。该方法允许在张拉整体生成过程中使用许多约束。与此同时,我们也尝试用尽可能少的额外连接来合并结构。与现有方法相比,该方法是一种单步算法,不需要对合并结构的形状和相对位置做任何假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tensegrity Topology Merging: Mixed-Integer Convex optimization-based Method
This paper proposed a mixed-integer convex optimization-based method for merging multiple tensegrity structures. Merging is extremely useful in constructing complex structures, which consist of lots of cables and struts, whereas building such structures from scratch might be infeasible. In addition to that, merging procedure let’s us use human-designed structures as elementary units of resulting object. The proposed method permits utilization of lots of constraints, used during tensegrity generation procedure. At the same time we also try to merge structures with as little additional connections as possible. In comparison to existing approaches, this method is a single-step algorithm and does not make any assumption on shape and relative position of merged structures.
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