HIGH-FIDELITY EDDY-RESOLVING SIMULATIONS ON MULTI-CORE ACCELERATORS FOR MULTI-PHASE FLOWS IN CHEMICAL, ENERGY & TRANSPORT

尺度分辨模拟(SRS)在单相流应用中的应用已经显示出显著的精度优势。SRS包括解决更大范围的湍流的方法，如大涡模拟(LES)、准直接数值模拟和混合方法，如分离涡模拟(DES)。这项工作的目的是将这些方法扩展到多阶段应用。SRS在单相湍流中的应用是近二十年来被广泛研究的流体力学领域，但多相流的SRS仍然是一个研究很少的领域。该项目将开发一种大规模并行、高阶、完全隐式(时间和空间)、多相尺度分解方法，并对(1)典型的航空发动机轴承室、(2)典型的传动系统齿轮和(3)连续化学反应器进行模拟。它将演示下一代多相高保真流动模拟。我们将通过扩展和使用牛津大学开发的最先进的全隐式并行库来开发新的计算硬件。该库可以为现代硬件架构的CFD代码进行未来校对，已经证明，与CPU上的英特尔数学内核库三对角线解算器相比，该库在GPU上的加速比是27倍。这项研究将由诺丁汉大学工程系助理教授理查德·杰斐逊·洛夫戴博士领导。它将与工业合作伙伴MAHLE动力总成、劳斯莱斯、ROMAX和葛兰素史克合作进行。

The use of scale resolving simulations (SRS) for single phase flow applications has already shown dramatic accuracy benefits. The term SRS encompasses methods resolving a greater spectrum of turbulence e.g. large eddy simulation (LES), quasi-direct numerical simulation and hybrid methods e.g. detached eddy simulation (DES). The purpose of this work is to extend these methods for multi-phase applications. The use of SRS for single-phase turbulent flows is an area of fluids mechanics that has been widely studied for the past twenty years but SRS of multi-phase flows remains a very understudied area. The project will develop a massively parallel, high-order, fully implicit (temporal and spatial), multi-phase scale resolving methodology and perform simulations of (1) a representative aero-engine bearing chamber, (2) a representative transmission system gear and (3) a continuous chemical reactor. It will demonstrate the next generation of multi-phase high-fidelity flow simulations. We will exploit novel computing hardware through the extension and use of a state of the art fully implicit parallel library developed at the University of Oxford. The library, which enables 'future proofing' of CFD codes for modern hardware architectures, has been shown to give a 27x speedup on a GPU compared with the Intel Math Kernel Library tri-diagonal solver on a CPU. The research will be led by Dr. Richard Jefferson-Loveday, Assistant Professor in the department of Engineering at Nottingham University. It will be undertaken in collaboration with industrial partners MAHLE Powertrain, Rolls-Royce, ROMAX and GSK.