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Statistical and directable methods for large-scale rigid body simulation.

机译:大规模刚体仿真的统计和可定向方法。

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摘要

This dissertation describes several techniques to improve performance and controllability of large-scale rigid body simulations. We first describe a statistical simulation method that replaces certain stages of rigid body simulation with a statistically-based approximation. We begin by collecting statistical data regarding changes in linear and angular momentum for collisions of a given object. From the data, we extract a statistical "signature" for the object, giving a compact representation of the object's response to collision events. During object simulation, both the collision detection and the collision response calculations are replaced by simpler calculations based on the statistical signature. In addition, based on our statistical simulator, we develop a mixed rigid body simulator that combines an impulse-based with a statistically-based collision response method. This allows us to maintain high accuracy in important parts of the scene while achieving greater efficiency by simplifying less important parts of the simulation. The resulting system gives speedups of more than an order of magnitude on several large rigid body simulations while maintaining high accuracy in key places and capturing overall statistical behavior in other places.;Also, we introduce two methods for directing pile behavior to form the desired shapes. To fill up the space inside the desired shapes and maintain the stability of the desired pile shapes, our methods analyze the configurations and status of all objects and properly select some candidates to have their degrees of freedom (DOFs) reduced. Our first method utilizes the idea of angles of repose to perform the analysis. According to the desired angle of repose, we create an additional spatial structure to track the piling status and select suitable objects to reduce their DOFs. In our second method, we adapt equilibrium analysis in a local scheme to find "stable" objects of the stacking structure. Then, we restrict their DOFs by adding constraints on them for stabilizing the structure. Overall, our directing methods generate a wider variety of piled structures than possible with strict physically-based simulation.
机译:本文介绍了几种改善大型刚体仿真性能和可控性的技术。我们首先描述一种统计模拟方法,该方法用基于统计的近似值代替了刚体模拟的某些阶段。我们从收集有关给定对象碰撞的线性和角动量变化的统计数据开始。从数据中,我们提取对象的统计“签名”,以紧凑的形式表示对象对碰撞事件的响应。在对象模拟过程中,基于统计签名的碰撞检测和碰撞响应计算都将替换为更简单的计算。此外,基于我们的统计模拟器,我们开发了一种混合刚体模拟器,该模拟器结合了基于冲量和基于统计的碰撞响应方法。这样,我们可以简化场景中不重要的部分,从而在场景的重要部分保持高精度,同时获得更高的效率。最终的系统在几个大型刚体模拟中提供了超过一个数量级的加速,同时在关键位置保持了高精度,并在其他位置捕获了总体统计行为。此外,我们引入了两种方法来指导桩的行为以形成所需的形状。为了填充所需形状内部的空间并保持所需桩形状的稳定性,我们的方法分析了所有对象的配置和状态,并适当选择了一些候选对象以降低其自由度(DOF)。我们的第一种方法利用休止角的概念来执行分析。根据所需的休止角,我们创建了一个附加的空间结构来跟踪打桩状态并选择合适的对象以减少其自由度。在我们的第二种方法中,我们在局部方案中采用平衡分析以找到堆叠结构的“稳定”对象。然后,我们通过在其自由度上添加约束条件来限制其自由度,以稳定结构。总体而言,与严格的基于物理的模拟相比,我们的定向方法可以生成更多种类的堆积结构。

著录项

  • 作者

    Hsu, Shu-Wei.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Computer science.;Statistics.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 144 p.
  • 总页数 144
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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