High-Order Accurate Direct Numerical Simulation of Flow over a MTU-T161 Low Pressure Turbine Blade
收藏aws亚马逊开源数据集2024-03-07 收录
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https://registry.opendata.aws/pyfr-mtu-t161-dns-data
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The archive comprises snapshot, point-probe, and time-average data produced via a high-fidelity computational simulation of turbulent air flow over a low pressure turbine blade, which is an important component in a jet engine. The simulation was undertaken using the open source PyFR flow solver on over 5000 Nvidia K20X GPUs of the Titan supercomputer at Oak Ridge National Laboratory under an INCITE award from the US DOE. The data can be used to develop an enhanced understanding of the complex three-dimensional unsteady air flow patterns over turbine blades in jet engines. This could in turn le...
本数据集归档文件包含通过高保真数值模拟生成的快照数据、点探针数据及时间平均数据。该模拟针对喷气发动机的核心部件——低压涡轮叶片表面的湍流空气流场开展。本次模拟依托开源PyFR流动求解器，在美国能源部（US DOE）INCITE项目资助下，使用橡树岭国家实验室泰坦超级计算机的5000余块英伟达K20X图形处理器完成。本数据集可用于深化对喷气发动机涡轮叶片表面复杂三维非定常空气流场形态的理解，这进而可
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http://www.pyfr.org
