A design tool for globally developable discrete architectural surfaces using Ricci flow

IF 0.8 0 ARCHITECTURE
Jingyao Zhang, Makoto Ohsaki
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Abstract

This paper presents an approach for the design of discrete architectural surfaces that are globally developable; that is, having zero Gaussian curvature at every interior node. This kind of architectural surface is particularly suitable for fast fabrication at a low cost, since their curved geometry can be developed into a plane. This highly non-linear design problem is broken down into two sub-problems: (1) find the member lengths of a triangular mesh that lead to zero Gaussian curvature, by employing the discrete surface Ricci flow developed in the field of discrete differential geometry; (2) realize the final geometry by solving an optimization problem, subject to the constraints on member lengths as well as the given boundary. It is demonstrated by the numerical examples that both of these two sub-problems can be solved with small computational costs and sufficient accuracy. In addition, the Ricci flow algorithm has an attractive feature—the final design is conformal to the initial one. Conformality could result in higher structural performance, because the shape of each panel is kept as close as possible to its initial design, suppressing possible distortion of the panels. This paper further presents an improved circle packing scheme implemented in the discrete surface Ricci flow to achieve better conformality, while keeping its simplicity in algorithm implementation as in the existing Thurston's scheme .

Abstract Image

基于Ricci流的可全局开发离散建筑曲面设计工具
本文提出了一种设计可全局开发的离散建筑表面的方法;即在每个内部节点处具有零高斯曲率。这种建筑表面特别适合以低成本快速制造,因为它们的弯曲几何形状可以发展成平面。这个高度非线性的设计问题被分解为两个子问题:(1)通过使用离散微分几何领域中发展的离散曲面Ricci流,找到导致零高斯曲率的三角形网格的成员长度;(2) 通过求解优化问题来实现最终的几何结构,受构件长度和给定边界的约束。数值算例表明,这两个子问题都可以以较小的计算成本和足够的精度求解。此外,Ricci流算法还有一个吸引人的特点——最终设计与初始设计一致。一致性可以带来更高的结构性能,因为每个面板的形状都尽可能接近其初始设计,从而抑制面板可能的变形。本文进一步提出了一种在离散曲面Ricci流中实现的改进的圆填充方案,以实现更好的一致性,同时保持其与现有Thurston方案一样在算法实现上的简单性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
11.10%
发文量
58
审稿时长
15 weeks
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