Practical Large-Eddy Simulation for Complex Turbulent Flowfield with Adaptive Cartesian Mesh and Data Compression Technique
Practical Large-Eddy Simulation for Complex Turbulent Flowfield with Adaptive Cartesian Mesh and Data Compression Technique
复制标题
DOI：
10.2514/6.2013-2862
复制
发表时间：
2013-06
期刊：
影响因子：
--
通讯作者：
Ryotaro Sakai;S. Obayashi;Y. Matsuo;K. Nakahashi
中科院分区：
文献类型：
--
作者：
Ryotaro Sakai;S. Obayashi;Y. Matsuo;K. Nakahashi
结合湍流壁面模型和数据压缩方法，在流动求解器中建立了一个实用的湍流模拟环境。该求解器基于块结构的笛卡尔网格方法--建筑立方体方法，实现了健壮、自动的网格生成和高效的数值模拟。基于浸没边界方法和对数定律的湍流壁面模型在不降低计算效率的情况下，提高了笛卡尔网格上的解的可靠性。该数据压缩方法包括四种与图像编码相关的技术，并利用Building-Cube方法的网格结构对流动模拟数据集进行了有效的压缩。验证表明，即使在相对较粗的网格中，壁面模型也能很好地产生平均速度和雷诺应力表示的湍流边界层。在涡流发生器绕流的数值模拟中，数据压缩方法将数据量减少到原始数据的近10%，而其计算量不到主要数值模拟的1%。
A practical turbulent flow simulation environment is established by incorporating a turbulent wall model and a data compression method as post-processing in a flow solver. The solver is based on the block-structured Cartesian mesh method named Building-Cube Method which achieves robust and automated mesh generation and efficient numerical simulation. The turbulent wall model which is based on immersed boundary method and the logarithmic law improves solution reliabilities on Cartesian mesh, without losing its computational efficiency. The data compression method consists of four techniques relevant to image encoding, and it efficiently compresses a flow simulation data set by making use of the mesh structure of the Building-Cube Method. The validation demonstrates that the wall model properly yields a turbulent boundary layer in terms of mean velocity and Reynolds stress, even in relatively coarse mesh. It is also demonstrated that in the simulation of turbulent flow past vortex generators the data compression method reduces the data size to nearly 10% of the original data, while its computational load is less than 1% of the main numerical simulation.