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首页> 外文期刊>Computers and Geotechnics >A contact detection algorithm for triangle boundary in GPU-based DEM and its application in a large-scale landslide
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A contact detection algorithm for triangle boundary in GPU-based DEM and its application in a large-scale landslide

机译：基于GPU的DEM中三角形边界的接触检测算法及其在大型滑坡中的应用

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摘要

Triangle boundaries are crucial geometric objects in the discrete element method (DEM). In this study, an improvement for the uniform grid method is proposed and implemented on the GPU. The improved algorithm includes the spatial discretization of triangles in which triangles are classified by their size and motion. The large and relative static triangles are separated into grid cells such that it relaxes the restriction of cell size in the uniform grid method. To verify the accuracy and efficiency of the algorithm, the improved grid method is compared with the normal uniform grid method and the linear bounding volume hierarchy (LBVH) method using a simulation of free-falling grains in a mixer. The results show that the improved grid method does significantly increase the simulation efficiency compared with the normal uniform grid method. Then, taking a large-scale landslide as an example, the improved grid method and the LBVH method are used to simulate the failure process of the landslide. The results indicate that the improved grid algorithm has higher efficiency for simulations of large-scale landslides than the LBVH method but at the cost of more memory usage.
机译：三角形边界是离散元素方法（DEM）中的重要几何对象。在该研究中，提出并在GPU上提出并实施了均匀网格方法的改进。改进的算法包括三角形的空间离散化，其中三角形通过其尺寸和运动来分类。大型和相对静态三角形被分成网格单元，使得它在均匀栅格方法中松弛细胞尺寸的限制。为了验证算法的准确性和效率，使用模拟混合器中的自由落的颗粒的模拟，将改进的电网方法与常规均匀栅格方法和线性边界体积层次（LBVH）方法进行比较。结果表明，与正常均匀的栅格法相比，改进的电网方法明显提高了模拟效率。然后，采用大型滑坡作为示例，使用改进的网格方法和LBVH方法来模拟滑坡的故障过程。结果表明，改进的电网算法对大型山体内的模拟效率更高，而不是LBVH方法，但成本更高的内存使用率。

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