Development and application of lattice Boltzmann models for predictive large eddy simulation of turbomachinery aerodynamics

近年来，格子玻尔兹曼方法（LBM）已成为风工程和空气动力学的一种有趣的替代CFD方法。对于旋转机械，我们目前的实现已经显着快于传统的求解器，近似不可压缩或弱可压缩的Navier-Stokes方程直接。然而，在高度湍流的预测模拟和边界层建模方面仍然存在挑战。本项目将集中于开发和验证与单弛豫时间和多弛豫时间格子Boltzmann方法兼容的预测性大涡模拟模型。这包括实现兼容的壁函数模型，这是至关重要的笛卡尔嵌入边界方法固有的LBM。除了标准的基准，大规模的调查工作水平轴风力涡轮机的空气动力学计划。所有的开发都将在我们成熟的C++框架AMROC中进行，该框架已经提供了一个功能齐全的动态自适应和完全并行的LBM实现，并将动态流体结构耦合到可编程模型。

In recent years, the lattice Boltzmann method (LBM) has emerged as an interesting alternative CFD approach for wind engineering and aerodynamics. For rotating machinery, our current implementation is already significantly faster than conventional solvers that approximate the incompressible or weakly compressible Navier-Stokes equations directly. However, challenges remain in the predictive simulation of highly turbulent flows and the modeling of boundary layers.This project will concentrate on the development and validation of predictive large eddy simulation models that are compatible with single- and multi-relaxation time lattice Boltzmann methods. This includes implementation of compatible wall function models, which are of crucial importance for the Cartesian embedded boundary approach intrinsic to LBM. Beside standard benchmarks, large-scale investigations into the aerodynamics of operating horizontal axis wind turbines are planned. All developments will be carried in our mature C++ framework AMROC, which already provides a fully functional dynamically adaptive and fully parallel LBM implementation with on-the-fly fluid-structure coupling to turbomachinery models.