@inproceedings{062826ab9cd448399e966d296f1817e9,
title = "Supercomputer Simulation of Turbulent Flow Around Isolated UAV Rotor and Associated Acoustic Fields",
abstract = "The paper presents the results of supercomputer simulations of turbulent flow around a rotor of a small-scale unmanned aerial vehicle. Rotor aerodynamics and near-field acoustics are modeled using both RANS and scale-resolving hybrid RANS-LES approaches. The underlying numerical method uses an edge-based reconstruction scheme for higher-accuracy discretization on unstructured mixed-element meshes. The far-field acoustics are evaluated using the integral Ffowcs-Williams and Hawkings method. The numerical results are compared with the available experimental data. The simulations were carried out on a hybrid supercomputer using several dozen GPUs. The parallel efficiency of the simulation code and comparison of performance on different types of computing devices are also presented.",
keywords = "Computational aeroacoustics, Computational aerodynamics, GPU computing, Supercomputer simulation, Turbulent flow, UAV rotor",
author = "Vladimir Bobkov and Andrey Gorobets and Tatiana Kozubskaya and Xin Zhang and Siyang Zhong",
note = "Funding Information: The work has been supported by the Russian Fund for Basic Research (Project 19-51-80001 with acronym SONG within the BRICS STI Framework Programme). The development of the baseline OpenCL parallelization for GPU computing has been funded by the Russian Science Foundation, project 19-11-00299. The research is carried out using the equipment of the shared research facilities of HPC computing resources at Lomonosov Moscow State University [21] and the equipment of the Shared Resource Center of KIAM RAS (http://ckp.kiam.ru). The 4th and 5th authors are supported by the National Key R&D Program of China (Grant No. 2018YFE0183800). The authors thankfully acknowledge these institutions. Funding Information: Acknowledgments. The work has been supported by the Russian Fund for Basic Research (Project 19-51-80001 with acronym SONG within the BRICS STI Frame-work Programme). The development of the baseline OpenCL parallelization for GPU computing has been funded by the Russian Science Foundation, project 19-11-00299. The research is carried out using the equipment of the shared research facilities of HPC computing resources at Lomonosov Moscow State University [21] and the equipment of the Shared Resource Center of KIAM RAS (http://ckp.kiam.ru). The 4th and 5th authors are supported by the National Key R&D Program of China (Grant No. 2018YFE0183800). The authors thankfully acknowledge these institutions. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 7th Russian Supercomputing Days Conference, RuSCDays 2021 ; Conference date: 27-09-2021 Through 28-09-2021",
year = "2021",
month = sep,
doi = "10.1007/978-3-030-92864-3_20",
language = "English",
isbn = "9783030928636",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "256--269",
editor = "Vladimir Voevodin and Sergey Sobolev",
booktitle = "Supercomputing - 7th Russian Supercomputing Days, RuSCDays 2021, Revised Selected Papers",
address = "Germany",
}