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Stochastic Structural Analysis for Context-Aware Design and Fabrication

机译:用于上下文感知设计和制造的随机结构分析

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摘要

In this paper we propose failure probabilities as a semantically andrnmechanically meaningful measure of object fragility. We present arnstochastic finite element method which exploits fast rigid body simulationrnand reduced-space approaches to compute spatially varyingrnfailure probabilities. We use an explicit rigid body simulation to emulaternthe real-world loading conditions an object might experience,rnincluding persistent and transient frictional contact, while allowingrnus to combine several such scenarios together. Thus, our estimatesrnbetter reflect real-world failure modes than previous methods. Wernvalidate our results using a series of real-world tests. Finally, wernshow how to embed failure probabilities into a stress constrainedrntopology optimization which we use to design objects such as weightrnbearing brackets and robust 3D printable objects.
机译:在本文中,我们提出了故障概率,作为对象脆弱性的语义和机械上有意义的度量。我们提出了一种随机随机有限元方法,该方法利用快速刚体模拟和缩减空间方法来计算空间变化的失效概率。我们使用显式刚体模拟来模拟对象可能遇到的实际负载条件,包括持久性和瞬态摩擦接触,同时允许将几种此类情况组合在一起。因此,我们的估计比以前的方法更好地反映了实际的故障模式。使用一系列实际测试来验证我们的结果。最后,我们展示了如何将故障概率嵌入到应力约束拓扑优化中,该优化算法用于设计诸如承重支架和坚固的3D可打印对象之类的对象。

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