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DTSTAMP:20260114T163735Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T160000
DTEND;TZID=Australia/Melbourne:20231212T161000
UID:siggraphasia_SIGGRAPH Asia 2023_sess161_papers_537@linklings.com
SUMMARY:Sparse Stress Structures from Optimal Geometric Measures
DESCRIPTION:Dylan Rowe and Albert Chern (University of California San Dieg
 o)\n\nIdentifying optimal structural designs given loads and constraints i
 s a primary challenge in topology optimization and shape optimization.  We
  propose a novel approach to this problem by finding a minimal tensegrity 
 structure—a network of cables and struts in equilibrium with a given loadi
 ng force.  Through the application of geometric measure theory and compres
 sive sensing techniques, we show that this seemingly difficult graph-theor
 etic problem can be reduced to a numerically tractable continuous optimiza
 tion problem.  With a light-weight iterative algorithm involving only Fast
  Fourier Transforms and local algebraic computations, we can generate spar
 se supporting structures featuring detailed branches, arches, and reinforc
 ement structures that respect the prescribed loading forces and obstacles.
 \n\nRegistration Category: Full Access\n\nSession Chair: J. Andreas Bærent
 zen (Technical University of Denmark)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_537&sess=sess161
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