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首页> 外文期刊>International Journal for Numerical Methods in Fluids >Accurate and robust adaptive mesh refinement for aerodynamic simulation with multi-block structured curvilinear mesh
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Accurate and robust adaptive mesh refinement for aerodynamic simulation with multi-block structured curvilinear mesh

机译:多块结构曲线网格在空气动力学模拟中的精确鲁棒自适应网格细化

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A multi-block curvilinear mesh-based adaptive mesh refinement (AMR) method is developed to satisfy the competing objectives of improving accuracy and reducing cost. Body-fitted curvilinear mesh-based AMR is used to capture flow details of various length scales. A series of efforts are made to guarantee the accuracy and robustness of the AMR system. A physics-based refinement function is proposed, which is proved to be able to detect both shock wave and vortical flow. The curvilinear mesh is refined with cubic interpolation, which guarantees the aspect ratio and smoothness. Furthermore, to enable its application in complex configurations, a sub-block-based refinement strategy is developed to avoid generating invalid mesh, which is the consequence of non-smooth mesh lines or singular geometry features. A newfound problem of smaller wall distance, which negatively affects the stability and is never reported in the literature, is also discussed in detail, and an improved strategy is proposed. Together with the high-accuracy numerical scheme, a multi-block curvilinear mesh-based AMR system is developed. With a series of test cases, the current method is verified to be accurate and robust and be able to automatically capture the flow details at great cost saving compared with the global refinement. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:为了满足提高精度和降低成本的竞争目标,开发了一种基于多块曲线网格的自适应网格细化(AMR)方法。基于人体拟合的曲线网格的AMR用于捕获各种长度比例的流量细节。为了确保AMR系统的准确性和鲁棒性,已进行了一系列努力。提出了一种基于物理学的细化函数,该函数被证明能够同时检测冲击波和涡流。曲线网格使用三次插值进行精修,从而确保了长宽比和平滑度。此外,为了使其能够在复杂的配置中应用,开发了基于子块的优化策略,以避免生成无效的网格,这是非平滑网格线或奇异几何特征的结果。还详细讨论了新发现的壁距较小的问题,该问题对稳定性有负面影响,并且在文献中从未进行过报道,并提出了一种改进的策略。结合高精度数值方案,开发了基于多块曲线网格的AMR系统。通过一系列测试案例,当前的方法经验证是准确且可靠的,并且与全局改进方法相比,能够以节省大量成本的方式自动捕获流细节。版权所有(c)2015 John Wiley&Sons,Ltd.

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