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   Parametric Calculations of the Aerodynamics of a Descent Vehicle / Dubovik V. N., Zhukov V. T., Manukovskii K. V., Novikova N. D., Tulin D. V., Feodoritova O. B. - URL: https://vestniken.bmstu.ru/catalog/math/compmath/969.html (дата обращения: 11.03.2026). - DOI 10.18698/1812-3368-2021-2-37-51 // Вестник МГТУ им. Н. Э. Баумана. Сер. Естественные науки. - 2021. - № 2. - С. 37-51.

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DOI 10.18698/1812-3368-2021-2-37-51
vestniken.bmstu.ru/catalog/math/compmath/969.html

We present the methodology and results of parametric aerodynamic studies of vehicles descending into the planet’s atmosphere. The proposed computational approach might serve as the basis for solving a number of problems such as predicting and optimizing the descent trajectory of the vehicle, the search for a rational aerodynamic layout of the vehicle, i.e., tasks requiring massive parametric calculations. The systematization of such calculations is the first step towards the creation of a specialized database that includes sets of input and output data (flight speed, angles of attack, drag and lift coefficients, aerodynamic pitching moment, etc.) and the corresponding three-dimensional fields of gas-dynamic quantities together with computational meshes of various granularity and parameters of the computational model. Additional information to each element of the database might be a set of variables, parameterizing the geometry of the vehicle, experimental data, etc. The probability of forming the information content of such a data-base using modern supercomputer systems is shown. The capabilities of the domestic supercomputer aerodynamic code NOISEtte are demonstrated in the field of multiparametric three-dimensional calculations of descent vehicles based on the numerical solution of the Navier — Stokes equations on three-dimensional unstructured meshes

629.78 Космическая техника. Космонавтика. Космические аппараты

Статья опубликована в следующих изданиях

с. 37-51
   Журнал
   Вестник МГТУ им. Н. Э. Баумана. Сер. Естественные науки. - ISSN 1812-3368 (print). - ISSN 2686-8768 (web).
   № 2. - 2021.