This invention discloses a method,
system, and storage medium for identifying the surface wind pressure aerodynamic derivative that quantifies the contribution of aerodynamic
instability to geometric shapes. The method includes: simultaneously acquiring the surface wind pressure
time history and vibration displacement
time history of the structural cross-section;
processing the displacement
signal to obtain the vibration frequency, amplitude, and
phase difference;
processing the wind pressure
signal to obtain the wind pressure coefficient amplitude and
phase difference at each measuring point; based on the theory of self-excited
aerodynamics, establishing an explicit analytical formula through
harmonic coefficient matching, and calculating the surface wind pressure aerodynamic derivative at each measuring point; analyzing the aerodynamic derivative at each measuring point, evaluating the contribution of each surface region to the overall aerodynamic derivative, and identifying key aerodynamic regions that excite or suppress self-excited vibrations. This invention degrades traditional macroscopic aerodynamic derivatives to spatial micro-elements, establishing a
spatial mapping analytical closed chain between local wind pressure and aerodynamic derivatives, realizing
spatial visualization and quantitative
traceability of aerodynamic stability contributions, and providing a direct basis for targeted optimization of wind resistance for complex cross-sectional structures.