Abstract
The study is focused on the technology of remote real-time processing of intensive data streams from experimental stands using supercomputers. The structure of distributing data system, software for data processing, optimized PIV algorithm are presented. Using of real-time data processing makes possible realization of experiments with feedback when external forcing depends on internal characteristics of the system. Approbation of this technique is demonstrated on experimental study of intensive cyclonic vortex formation from localized heat source in a rotating layer of fluid. In this study the heating intensity depends on velocity of the flow. The characteristics of the flow obtained by supercomputer real-time processing of PIV images are used as input parameters for the heating system. The concept of using developed technology in the experimental stands of aircraft industry is also described.
The study was supported by the grants of the Russian Foundation for Basic Research (RFBR): project 17-45-590846 (V. Shchapov, A. Pavlinov, E. Popova, A. Sukhanovskii, Sects. 1–3.1, 4) and project 17-47-590017 (S. Kalyulin, V. Modorskii, Sect. 3.2).
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Shchapov, V.A., Pavlinov, A.M., Popova, E.N., Sukhanovskii, A.N., Kalyulin, S.L., Modorskii, V.Y. (2019). Supercomputer Real-Time Experimental Data Processing: Technology and Applications. In: Voevodin, V., Sobolev, S. (eds) Supercomputing. RuSCDays 2018. Communications in Computer and Information Science, vol 965. Springer, Cham. https://doi.org/10.1007/978-3-030-05807-4_55
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