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Technical Papers

Computational Design of Structures, Shapes, and Sound

Wednesday, 27 July, 9:00 am - 10:30 am, Anaheim Convention Center, Ballroom D
Session Chair: David Levin, The Walt Disney Company, Disney Research

Reconciling Elastic and Equilibrium Methods for Static Analysis

This paper examines two widely used classes of methods for static analysis of masonry buildings (linear elasticity analysis using finite elements and equilibrium methods), provides a systematic explanation for the discrepancy observed between the two methods, and presents a unified formulation of the two approaches.

Hijung Shin, Massachusetts Institute of Technology (MIT)

Christopher F. Porst
Massachusetts Institute of Technology

Etienne Vouga
University of Texas at Austin

John Ochsendorf
Massachusetts Institute of Technology

Frédo Durand
Massachusetts Institute of Technology

Computational Design of Stable Planar-Rod Structures

This computational method for designing and fabricating stable, easily assemblable wire sculptures consisting of interlocking wires relies on elasticity and frictional contact to achieve stability and represents an extremely efficient alternative for low-fidelity rapid prototyping.

Eder Miguel Villalba
Institute of Science and Technology Austria

Mathias Lepoutre
Institute of Science and Technology Austria

Bernd Bickel
Institute of Science and Technology Austria

Non-Linear Shape Optimization Using Local Subspace Projections

This novel method for non-linear shape optimization of objects performs local subspace projections in underdetermined design spaces, allowing efficient exploration of many good local solutions.

Przemyslaw Musialski
Technische Universität Wien

Christian Hafner
Technische Universität Wien

Florian Rist
Technische Universität Wien

Michael Birsak
Technische Universität Wien

Michael Wimmer
Technische Universität Wien

Leif Kobbelt
Rheinisch-Westfälische Technische Hochschule Aachen

Acoustic Voxels: Computational Optimization of Modular Acoustic Filters

This computational approach that automates the design of acoustic filters with complex geometries enables a wide range of applications, including muffler design, musical wind instruments, and encoding imperceptible acoustic information into everyday objects.

Dingzeyu Li
Columbia University

Changxi Zheng
Columbia University

David Levin
Disney Research

Wojciech Matusik
Massachusetts Institute of Technology