基于哈密顿路径的统一网格法计算气动流动

IF 1.1 4区 工程技术 Q4 MECHANICS International Journal of Computational Fluid Dynamics Pub Date : 2023-10-04 DOI:10.1080/10618562.2023.2264198
Yong Su Jung, Bharath Govindarajan, James Baeder
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引用次数: 0

摘要

摘要提出了一种基于哈密顿路径的旋翼机统一网格求解算法。在一般的二维和三维混合单元非结构化网格上实现了隐线结构的鲁棒识别,为基于线的求解提供了框架。纯四边形/六面体网格是线识别的先决条件,并且可以沿线进行近似分解。线隐法在各种非结构化网格上的数值计算效率优于点隐法。无论网格类型如何,有限差分重建和梯度重建都是可能的。采用不同网格方向同时进行不同重构的组合重构方法。最后,采用预条件广义最小残差法(GMRES)进一步提高了解的收敛速度,其中预处理步骤采用有效的线隐式方法进行。关键词:旋翼飞机空气动力学非结构网格计算效率隐式方法广义最小残差法致谢作者感谢Roger Strawn博士(陆军AFDD)和Rajneesh Singh博士(ARL)对HAMSTR发展的持续支持。本工作由国家超级计算中心提供超级计算资源,包括技术支持(KSC-2022-CRE-0197)。披露声明作者未报告潜在的利益冲突。
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A Unified Grid Approach Using Hamiltonian Paths for Computing Aerodynamic Flows
AbstractA solution algorithm using Hamiltonian paths is presented as a unified grid approach for rotorcraft applications. Hidden line structures are robustly identified on general two- and three-dimensional unstructured grids with mixed elements, providing a framework for line-based solvers. A pure quadrilateral/hexahedral mesh is a prerequisite for line identification and enables approximate factorisation along the lines. The numerical efficiency obtained using the line-implicit method on various unstructured grids is better than that of the point-implicit method. Both finite-difference and gradient reconstructions are possible regardless of grid type. A combined reconstruction method is applied, which uses different reconstructions simultaneously but for different grid directions. Finally, the solution convergence rate is further improved using a preconditioned generalized minimal residual method (GMRES), where the preconditioning step is performed using the efficient line-implicit method.Keywords: Rotorcraft aerodynamicsunstructured gridcomputational efficiencyline-implicit methodgeneralized minimal residual method AcknowledgementsThe authors would like to acknowledge Dr. Roger Strawn (Army AFDD) and Dr. Rajneesh Singh (ARL) for their continued support of HAMSTR development. This work was supported by the National Supercomputing Center with supercomputing resources including technical support (KSC-2022-CRE-0197).Disclosure statementNo potential conflict of interest was reported by the author(s).
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来源期刊
CiteScore
2.70
自引率
7.70%
发文量
25
审稿时长
3 months
期刊介绍: The International Journal of Computational Fluid Dynamics publishes innovative CFD research, both fundamental and applied, with applications in a wide variety of fields. The Journal emphasizes accurate predictive tools for 3D flow analysis and design, and those promoting a deeper understanding of the physics of 3D fluid motion. Relevant and innovative practical and industrial 3D applications, as well as those of an interdisciplinary nature, are encouraged.
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