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Optimizing computational high-order schemes in finite volume simulations using unstructured mesh and topological data structures

机译:使用非结构化网格和拓扑数据结构优化有限卷模拟中的计算高阶方案

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摘要

Many numerical methods are based in mesh files to represent the computational domain. Also, an efficient storage and retrieval of mesh information can be achieved by data structures. Moreover, the development of topological operators is one of the important goals of the geometric modeling research field. While it loads mesh files more efficiently, it also allocates less main memory, provides persistence and allows consistent query operations. This paper proposes an improving of the computational scheme of high-order WENO schemes by coupling a standard cell centered, unstructured mesh, finite volume method with an topological data structure. The solver module uses the finite volume technique with a formulation that sets the property values to the control volume centroids. The two dimensional Euler equations are considered to represent the flow of interest. Beyond experiments using the improved approach, the computational cost of the data structure was measured by comparing with the traditional representation, and the results showed that our approach provides scalable loading and managing of meshes, having less memory occupation rate when comparing meshes with an increasing number of elements. (c) 2018 Elsevier Inc. All rights reserved.
机译:许多数值方法基于网格文件来表示计算域。此外,可以通过数据结构实现有效存储和检索网格信息。此外,拓扑运营商的发展是几何建模研究领域的重要目标之一。虽然它更有效地加载网格文件,但它也会分配较少的主内存,提供持久性并允许一致的查询操作。本文提出通过耦合标准单元中心,非结构化网格,具有拓扑数据结构的有限体积方法来改善高阶Weno方案的计算方案。求解器模块使用带有配方的有限卷技术,该配方将属性值设置为控制卷质心。认为二维欧拉方程被认为表示感兴趣的流程。除了使用改进的方法的实验之外,通过与传统表示进行比较来测量数据结构的计算成本,结果表明,我们的方法提供了可扩展的加载和网格管理,在使用越来越多的数量比较网格时具有更少的存储器占用速率元素。 (c)2018年Elsevier Inc.保留所有权利。

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