vmaitComputational Mathematics and Information TechnologiesComputational Mathematics and Information Technologies2587-8999Донской государственный технический университет10.23947/2587-8999-2022-1-2-61-69vmait-12Research ArticleСтатьи3D-МОДЕЛИРОВАНИЕ ТУРБУЛЕНТНЫХ ПОТОКОВ С ИСПОЛЬЗОВАНИЕМ LES И RANS ПОДХОДОВ НА ОСНОВЕ ОТФИЛЬТРОВАННЫХ ЭКСПЕДИЦИОННЫХ ДАННЫХ3D MODELING OF TURBULENT FLOWS USING LES AND RANS APPROACHES BASED ON FILTERED EXPEDITION DATAПроценкоС. В.ProtsenkoS. V.

Проценко Софья Владимировна, кандидат физико-математических наук, доцент кафедры математики

Таганрог

Protsenko Sofya V., PhD of Science in Physics and Maths

Taganrog

rab55555@rambler.ruТаганрогский институт имени А.П. Чехова (филиал Ростовского государственного экономического университета)РоссияTaganrog Institute named after A.P. Chekhov (branch) of RSUERussian Federation202220022023626169Copyright © Проценко С.В., 20232023Проценко С.В.Protsenko S.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.cmit-journal.ru/jour/article/view/12

В статье описано разработанное программное обеспечение, которое позволило обработать большой объем данных наблюдений за движением и параметрами водной среды в акватории Азовского моря, который был получен в ходе экспедиционных исследований с использованием гидрофизического зонда ADCP, с использованием процедуры фильтрации. Процедура фильтрации значительно уменьшает разброс данных и амплитуду колебаний, что, в свою очередь, позволяет более адекватно оценивать информацию, полученную в ходе полевых экспериментов. При разной ширине фильтра применялись коробочный фильтр, фильтр Гаусса и фильтр Фурье. В этих расчетах ширина фильтра была установлена на основе размера решаемой задачи гидродинамики и масштаба сетки, соответствующего этому размеру. Полученные данные планируется использовать для численного моделирования трехмерных турбулентных течений с использованием подхода LES и сравнения с результатами осреднения по RANS.

The article describes the developed software that made it possible to process a large amount of data from observations of the movement and parameters of the aquatic environment in the Sea of Azov, which was obtained during expeditionary research using the ADCP hydrophysical probe, using the filtration procedure. The filtering procedure significantly reduces the spread of data and the amplitude of fluctuations, which, in turn, makes it possible to more adequately evaluate the information obtained during field experiments. For different filter widths, a box filter, a Gauss filter and a Fourier filter were used. In these calculations, the filter width was set based on the size of the hydrodynamics problem to be solved and the grid scale corresponding to this size. The obtained data are planned to be used for numerical simulation of three-dimensional turbulent flows using the LES approach and comparison with the results of averaging by RANS.

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The authors declare that there are no conflicts of interest present.