ON NUMERICAL BEAMFORMING FOR ACOUSTIC SOURCE IDENTIFICATION BASING ON SUPERCOMPUTER SIMULATION DATA
- Authors: Plaksin G.M.1, Kozubskaya T.K.1, Sofronov I.L.1,2
-
Affiliations:
- Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
- Moscow Institute of Physics and Technology (National Research University)
- Issue: Vol 519, No 1 (2024)
- Pages: 46-52
- Section: MATHEMATICS
- URL: https://rjeid.com/2686-9543/article/view/648001
- DOI: https://doi.org/10.31857/S2686954324050098
- EDN: https://elibrary.ru/XDJFDO
- ID: 648001
Cite item
Abstract
The paper is devoted to the method of numerical beamforming for processing spatio-temporal data obtained from supercomputer simulation of aeroacoustics problems, in order to localize a distributed acoustic source formed by interaction of turbulent flow and an aircraft or its elements in flight mode, and to determine its amplitude-frequency characteristics. Mathematically, the proposed method is based on solving the inverse problem of restoring the right-hand side in the Helmholtz equation for sources of monopole and dipole types. Compared to an analogue intended for the analysis of experimental measurements, the new method has significant advantages and allows generalization to the case of correlated sources. In the paper, the capabilities of the method are demonstrated by solving the problem of identifying an acoustic source that is generated by an upswept aircraft wing with deployed high-lift devices in landing mode.
About the authors
G. M. Plaksin
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
Email: gplaxin@mail.ru
Moscow, Russia
T. K. Kozubskaya
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
Email: kozubskaya@imamod.ru
Moscow, Russia
I. L. Sofronov
Keldysh Institute of Applied Mathematics of Russian Academy of Sciences; Moscow Institute of Physics and Technology (National Research University)
Email: sofronov.il@mipt.ru
Moscow, Russia; Dolgoprudny, Russia
References
- Sijtsma P. Acoustic beamforming for the ranking of aircraft noise // Accurate and efficient aeroacoustic prediction approaches for airframe noise, VKI Lecture Series 2013-03, Von Karman Institute for Fluid Dynamics, Rhode-Saint-Genese, BE, edited by C. Schram, R. D
- Зайцев М. Ю., Копьев В. Ф., Величко С. А., Беляев И.В. Локализация и ранжирование источников шума самолета в летных испытаниях и сравнение с акустическими измерениями крупномасштабной модели крыла // Акустический журнал. 2023. Т. 69. № 2. С. 165–176. https://doi.org/10.31857/S0320791922600561
- Sanders M., Santana L., Venner C. The Sweep Angle Effect on Slat Noise Characteristics of the 30P30N High-Lift Model in an Open-Jet Wind Tunnel // AIAA 2020-2557. AIAA AVIATION 2020 FORUM. June 2020. https://doi.org/10.2514/6.2020-2557
- Kozubskaya T. K., Plaksin G. M., Sofronov I. L. Statement of the beamforming problem and a method of its solution for the localization of an acoustic source based on computational experiment data // Comput. Math. Math. Phys. 2021. V. 61. № 11. P. 1864–1885. https://doi.org/10.1134/S0965542521110129
- Karakulev A., Kozubskaya T., Plaksin G., Sofronov I. Ffowcs Williams–Hawkings analogy for near-field acoustic sources analysis // Int. J. Aeroacoustics. 2022. V. 21. P. 457–475. https://doi.org/10.1177/1475472X221107367
- Kozubskaya T. K., Plaksin G. M., Sofronov I. L. On Numerical Beamforming for Correlated DipoleType Sources, Comput. Math. Math. Phys. 2023. V. 63. № 11. P. 2162–2175. https://doi.org/10.1134/S0965542523110131
- Горобец А. В., Дубень А. П., Козубская Т. К., Родионов П. В. Подходы к численному моделированию акустического поля, создаваемого крылом самолета с механизацией на режиме посадки // Матем. моделирование. 2022. Т. 34. № 7. С. 24–48. https://doi.org/10.20948/mm-2022-07-02
- Choudhari M., Lockard D. Assessment of slat noise predictions for 30P30N high-lift configuration from BANC-III workshop // AIAA 2015-2844, 2015. https://doi.org/10.2514/6.2015-2844
- Shur M. L., Spalart P. R., Strelets M. K., Travin A. K. A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities // Int. J. Heat Fluid Flow. 2008. V. 29. № 6. P. 1638–1649. https://doi.org/10.1016/J.IJHEATFLUIDFLOW. 2008.07.001
- Abalakin I., Bakhvalov P., Kozubskaya T. Edgebased reconstruction schemes for unstructured tetrahedral meshes // Int. J. Numer. Methods Fluids. 2016. V. 81. № 6. P. 331–356. https://doi.org/10.1002/fld.4187
- Ffowcs Williams J. E., Hawkings D. L. Sound generation by turbulence and surfaces in arbitrary motion // Philos. Trans. R. Soc. London. Ser. A, Math. Phys. Sci. 1969. V. 264. № 1151. P. 321–342. https://doi.org/10.1098/rsta.1969.0031
- Pascioni K. A., Cattafesta L. N. An aeroacoustic study of a leading-edge slat: Beamforming and far field estimation using near field quantities // J. Sound Vib. 2018. V. 429. P. 224–244. https://doi.org/10.1016/J.JSV.2018.05.029
- Liu Y., Quayle A. R., Dowling A. P., Sijtsma P. Beamforming correction for dipole measurement using two-dimensional microphone arrays // J. Acoust. Soc. Am. 2008. V. 124. № 1. P. 182–191. http://dx.doi.org/10.1121/1.2931950
- Housman J., Stich G.-D., Kocheemoolayil J., Kiris C. Predictions of Slat Noise from the 30P30N at High Angles of Attack using Zonal Hybrid RANS-LES // AIAA 2019-2438. 25th AIAA/CEAS Aeroacoustics Conference. May 2019.
Supplementary files
