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Generalized Spatial Binning of Bodies of Different Sizes

机译:不同大小物体的广义空间装箱

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摘要

This paper presents an algorithm that determines the spatial relationships between bodies and can be used for contact detection. The process of contact detection can be divided into two phases, called neighbor search and contact resolution. Neighbor search identifies and creates lists of object "near" to the target object, usually using some approximate geometry for the objects. The geometric resolution then compares the detailed geometric representation of each object with the target object to resolve contact. Based on the details of the contact, forces or some other constraint enforcement technique is used to penalize and remove any overlap that has occurred due to the discrete time stepping algorithm. In simulations the spatial algorithm usually becomes the computational bottleneck as the number of objects increases. It is therefore critical to develop algorithms that scale well, preferably linearly, with respect to the number of bodies and polygons. In addition the algorithms should be general enough to be applicable across a wide spectrum of problems (Figure 1).
机译:本文提出了一种确定物体之间空间关系的算法,该算法可用于接触检测。接触检测的过程可以分为两个阶段,称为邻居搜索和接触解析。邻居搜索通常使用对象的一些近似几何来识别并创建目标对象“附近”的对象列表。然后,几何分辨率将每个对象的详细几何表示与目标对象进行比较,以解决接触问题。根据接触的详细信息,可以使用强制力或某种其他约束执行技术来惩罚和删除由于离散时间步长算法而发生的任何重叠。在仿真中,空间算法通常随着对象数量的增加而成为计算瓶颈。因此,至关重要的是,要开发出相对于实体和多边形的数量而言,最好线性地缩放的算法。此外,算法应足够通用,以适用于各种各样的问题(图1)。

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