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dc.contributor.authorCui, Qiaodongen_US
dc.contributor.authorLanglois, Timothyen_US
dc.contributor.authorSen, Pradeepen_US
dc.contributor.authorKim, Theodoreen_US
dc.contributor.editorPanozzo, Daniele and Assarsson, Ulfen_US
dc.description.abstractStochastic structural analysis can assess whether a fabricated object will break under real-world conditions. While this approach is powerful, it is also quite slow, which has previously limited its use to coarse resolutions (e.g., 26x34x28). We show that this approach can be made asymptotically faster, which in practice reduces computation time by two orders of magnitude, and allows the use of previously-infeasible resolutions. We achieve this by showing that the probability gradient can be computed in linear time instead of quadratic, and by using a robust new scheme that stabilizes the inertia gradients used by the optimization. Additionally, we propose a constrained restart method that deals with local minima, and a sheathing approach that further reduces the weight of the shape. Together, these components enable the discovery of previously-inaccessible designs.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.titleFast and Robust Stochastic Structural Optimizationen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersOptimization for Fabrication

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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License