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Perm State University HPC-hardware and software services: capabilities for aircraft engine aeroacoustics problems solving

机译:烫发国立大学HPC-硬件和软件服务:飞机发动机气流音问题的能力解决

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摘要

The present work is devoted to analyze high-performance computing (HPC) infrastructure capabilities for aircraft engine aeroacoustics problems solving at Perm State University. We explore here the ability to develop new computational aeroacoustics methods/solvers for computer-aided engineering (CAE) systems to handle complicated industrial problems of engine noise prediction. Leading aircraft engine engineering company, including "UEC-Aviadvigatel" JSC (our industrial partners in Perm, Russia), require that methods/solvers to optimize geometry of aircraft engine for fan noise reduction. We analysed Perm State University HPC-hardware resources and software services to use efficiently. The performed results demonstrate that Perm State University HPC-infrastructure are mature enough to face out industrial-like problems of development CAE-system with HPC-method and CFD-solvers.
机译:本作本作致力于分析在普尔州立大学的飞机发动机气流学问题的高性能计算(HPC)基础设施能力。 我们探索以下能够为计算机辅助工程(CAE)系统开发新的计算空气声学方法/求解器,以处理发动机噪声预测的复杂产业问题。 领先的飞机发动机工程公司,包括“UEC-AviaDvigatel”JSC(我们的Perm,俄罗斯的工业合作伙伴),要求使用该方法/求解器优化飞机发动机的几何形状,以便减少风扇降噪。 我们分析了烫发国家大学HPC-Hardware Resource和软件服务有效使用。 所表明的结果表明,普遍国家大学HPC-基础设施足够成熟,以面对具有HPC方法和CFD求解器的开发CAE系统的工业样问题。

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