Journal
ACM TRANSACTIONS ON GRAPHICS
Volume 32, Issue 4, Pages -Publisher
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2461912.2461958
Keywords
masonry models; thrust network analysis; self-supporting surfaces; optimization; field alignment; tessellation
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Funding
- SNF award [200021_137879]
- ERC [StG-2012-306877]
- Swiss National Science Foundation (SNF) [200021_137879] Funding Source: Swiss National Science Foundation (SNF)
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We present a complete design pipeline that allows non-expert users to design and analyze masonry structures without any structural knowledge. We optimize the force layouts both geometrically and topologically, finding a self-supported structure that is as close as possible to a given target surface. The generated structures are tessellated into hexagonal blocks with a pattern that prevents sliding failure. The models can be used in physically plausible virtual environments or 3D printed and assembled without reinforcements.
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