基于 OpenFOAM 框架的气体动力学简化守恒通量方案 I. Shakhov 模型沙霍夫模型

IF 7.2 2区 物理与天体物理 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mengbo Zhu , Jianfeng Chen , Xiaoqiang Li , Congshan Zhuo , Sha Liu , Chengwen Zhong
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引用次数: 0

摘要

建立在dugksFOAM上的Shakhov模型方程的求解器已成功开发。这是通过应用具有简化界面通量的守恒型气体动力学方案实现的。这个过程从宏观量的更新开始。随后,使用这些新更新的值计算分布函数。这种创新的方法有效地减轻了分布函数积分过程中可能出现的误差,特别是当使用非结构化速度空间时。求解器提供了两种不同的速度空间积分方法。第一个是传统的结构化空间,可以通过输入文件方便地调整和配置。第二种是非结构化空间,它利用较少的离散速度点。这些点是根据用户提供的网格文件确定的。在这种非结构化方法中,速度点被战略性地定位,以在计算效率和精度之间取得最佳平衡,从而提高求解器的整体性能和精度。求解器的混合并行化技术,特别是包含物理空间和速度空间的x空间并行化方法,使大规模三维模拟的有效执行成为可能。通过对激波管问题、盖驱动空腔流、泊泽维尔流、圆柱流、球体流和X-38飞行器流等基准案例的研究,验证了该求解器的准确性和可靠性。这一全面的验证过程不仅对求解器在处理各种流体动力学场景时的鲁棒性进行了基准测试,而且还突出了其在计算流体动力学领域更广泛应用的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A simplified conservation flux scheme for gas kinetics based on OpenFOAM framework I: Shakhov model
A solver for the Shakhov model equation, founded on dugksFOAM, has been successfully developed. This was achieved through the application of a conservation-type gas kinetic scheme with a simplified interface flux. The process begins with the updating of macroscopic quantities. Subsequently, the distribution function is computed using these newly updated values. This innovative approach effectively mitigates errors that might occur during the integration of the distribution function, especially when an unstructured velocity space is employed. The solver offers two distinct methods for velocity space integration. The first is a traditional structured space, which can be conveniently adjusted and configured via input files. The second is an unstructured space, which utilizes fewer discrete velocity points. These points are determined based on the mesh files provided by the user. In this unstructured approach, the velocity points are strategically positioned to strike an optimal balance between computing efficiency and precision, thereby enhancing the overall performance and accuracy of the solver.
The solver's hybrid parallelization technique, specifically the X-space parallelization approach that encompasses both physical and velocity spaces, empowers the efficient execution of large-scale three-dimensional simulations. By subjecting the solver to benchmark cases such as shock tube problems, lid-driven cavity flow, Poiseuille flow, and flows past cylinders, sphere and X-38 vehicle, the accuracy and dependability of this solver have been thoroughly validated and verified. This comprehensive verification process not only benchmark cases the solver's robustness in handling diverse fluid dynamics scenarios but also highlights its potential for broader applications in the field of computational fluid dynamics.
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来源期刊
Computer Physics Communications
Computer Physics Communications 物理-计算机:跨学科应用
CiteScore
12.10
自引率
3.20%
发文量
287
审稿时长
5.3 months
期刊介绍: The focus of CPC is on contemporary computational methods and techniques and their implementation, the effectiveness of which will normally be evidenced by the author(s) within the context of a substantive problem in physics. Within this setting CPC publishes two types of paper. Computer Programs in Physics (CPiP) These papers describe significant computer programs to be archived in the CPC Program Library which is held in the Mendeley Data repository. The submitted software must be covered by an approved open source licence. Papers and associated computer programs that address a problem of contemporary interest in physics that cannot be solved by current software are particularly encouraged. Computational Physics Papers (CP) These are research papers in, but are not limited to, the following themes across computational physics and related disciplines. mathematical and numerical methods and algorithms; computational models including those associated with the design, control and analysis of experiments; and algebraic computation. Each will normally include software implementation and performance details. The software implementation should, ideally, be available via GitHub, Zenodo or an institutional repository.In addition, research papers on the impact of advanced computer architecture and special purpose computers on computing in the physical sciences and software topics related to, and of importance in, the physical sciences may be considered.
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