脆弱性
计算机科学
利用
背景(考古学)
有限元法
数学优化
财产(哲学)
对象(语法)
度量(数据仓库)
算法
拓扑(电路)
理论计算机科学
数学
结构工程
人工智能
工程类
数据挖掘
哲学
物理化学
古生物学
组合数学
化学
认识论
生物
计算机安全
作者
Timothy R. Langlois,Ariel Shamir,Daniel Dror,Wojciech Matusik,David Levin
标识
DOI:10.1145/2980179.2982436
摘要
In this paper we propose failure probabilities as a semantically and mechanically meaningful measure of object fragility. We present a stochastic finite element method which exploits fast rigid body simulation and reduced-space approaches to compute spatially varying failure probabilities. We use an explicit rigid body simulation to emulate the real-world loading conditions an object might experience, including persistent and transient frictional contact, while allowing us to combine several such scenarios together. Thus, our estimates better reflect real-world failure modes than previous methods. We validate our results using a series of real-world tests. Finally, we show how to embed failure probabilities into a stress constrained topology optimization which we use to design objects such as weight bearing brackets and robust 3D printable objects.
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