Aerodynamic optimization design method for discrete adjoint aircraft configuration considering buffeting performance

CN122174348APending Publication Date: 2026-06-09XI AN JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Filing Date
2024-07-01
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies struggle to efficiently combine flutter performance requirements with aerodynamic optimization in aircraft design, resulting in low computational efficiency and reliance on empirical judgment. This makes it impossible to ensure structural stability and safety while pursuing aerodynamic efficiency.

Method used

A discrete adjoint aircraft configuration aerodynamic optimization design method is adopted. By constructing a discrete adjoint gradient optimization framework for flow field separation characteristic parameters, and combining CFD numerical simulation and discrete adjoint technology, the optimization gradient is accurately calculated, so as to achieve accurate prediction and control of the buffeting boundary.

Benefits of technology

It improves the computational efficiency and accuracy of aerodynamic optimization design, reduces the reliance on professional experience, and achieves efficient integration of flutter performance constraints and aerodynamic optimization design, thereby enhancing the aerodynamic efficiency and structural safety of aircraft.

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Abstract

The method for aerodynamic optimization design of discrete adjoint aircraft configuration considering buffeting performance, in the process of aircraft aerodynamic optimization, considers the requirement of buffeting characteristics, and introduces a flow field separation characteristic parameter SEP As the target or constraint condition of aerodynamic optimization, the method for aerodynamic optimization design of discrete adjoint aircraft configuration considering buffeting performance is constructed, a discrete adjoint gradient optimization framework fusing the flow field separation characteristic parameter is constructed, the optimization gradient is accurately calculated by using the discrete adjoint technology, and accurate prediction and control of the buffeting boundary are realized by combining real-time analysis of the flow field separation characteristic parameter; the method accurately calculates the optimization gradient by using the discrete adjoint technology, realizes accurate prediction and control of the buffeting boundary by combining real-time analysis of the flow field separation characteristic parameter, improves the calculation efficiency and precision of the optimization design, reduces the dependence on professional experience, and realizes efficient fusion of the buffeting performance constraint and the aerodynamic optimization design.
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