Novel CFD High Performance Methods for Advanced Simulations in Turbines

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Modern gas turbines rely on cooling techniques to operate at gas temperature well in excess of the melting temperature of the metal parts. Cooling is performed by ejecting cold air through small orifices on the blade surfaces. This gives rise to complex flow patterns that are difficult to predict with traditional methods.Recent advances in computer architecture bring scale-resolving simulations of cooling flow closer to common practice. The computer features that are needed are very specialised and difficult to exploit whilst preserving the flexibility and accessibility of the software to general developers.Therefore, there is work to be done on the high-performance computing (HPC) aspects of the simulations in order to analyse physical questions such as the interaction between the passage flow and the cooling flow.Research questionHow and how much by can we improve the speed of CFD codes for gas-turbine applications by exploiting all the features of modern hardware?Can we design the code in a way that is completely opaque to the hardware, so that the same source can make the most of both x8086 and GPU based computers?How much of the error comes from modelling turbulence and flow interactions?ApproachStudy the effect of memory mapping layouts on the execution speed of CFD calculations on x8086 and GPU based computers.Study techniques to enable fine-grained and instruction level parallelism within an industrial software.Devise novel layouts and code generation techniques based on sub-cell resolution.Perform scale-resolving simulations of turbine blades with cooling devices.Novelty/Physical sciencesHPC techniques and sub-cell resolution techniques for scale resolving simulations in gas turbines cooling systemsThis will allow us to answer questions about the interaction between the cooling flow and the passage flow and improve the prediction of thermal paint tests.