A Fast Method for Determining the Forces and Moments Acting on Aircraft in a Vortex Wake.

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Title: A Fast Method for Determining the Forces and Moments Acting on Aircraft in a Vortex Wake.
Authors: Gaifullin, A. M.1 (AUTHOR) amgaif@mail.ru, Karas, O. V.1 (AUTHOR) ysviridenko@yandex.ru, Sviridenko, Yu. N.1 (AUTHOR) ysviridenko@yandex.ru
Source: Computational Mathematics & Mathematical Physics. May2025, Vol. 65 Issue 5, p1081-1089. 9p.
Subjects: Boundary layer equations, Artificial neural networks, Torque, Artificial intelligence, Three-dimensional flow
Abstract: A method based on artificial neural networks is proposed for real-time determination of additional forces and moments acting on aircraft moving in the vortex wake of another aircraft. The method is based on neural network approximation of additional forces and moments caused by the influence of individual vortex segments. A dataset for training neural networks is generated by a software program designed to compute transonic flow around an aircraft configuration, namely, by solving equations for the complete potential in the outer flow and equations for a three-dimensional boundary layer on the aircraft surface. The accuracy and speed of the proposed method are estimated. [ABSTRACT FROM AUTHOR]
Copyright of Computational Mathematics & Mathematical Physics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A Fast Method for Determining the Forces and Moments Acting on Aircraft in a Vortex Wake.
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  Data: <searchLink fieldCode="JN" term="%22Computational+Mathematics+%26+Mathematical+Physics%22">Computational Mathematics & Mathematical Physics</searchLink>. May2025, Vol. 65 Issue 5, p1081-1089. 9p.
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  Data: A method based on artificial neural networks is proposed for real-time determination of additional forces and moments acting on aircraft moving in the vortex wake of another aircraft. The method is based on neural network approximation of additional forces and moments caused by the influence of individual vortex segments. A dataset for training neural networks is generated by a software program designed to compute transonic flow around an aircraft configuration, namely, by solving equations for the complete potential in the outer flow and equations for a three-dimensional boundary layer on the aircraft surface. The accuracy and speed of the proposed method are estimated. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Computational Mathematics & Mathematical Physics is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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              Text: May2025
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