| Citation: | DING Xuanhe, SU Hua, GONG Chunlin, et al. Exploration and verification of unsteady aerodynamic load field fusion modeling method[J]. Journal of Aerospace Power, 2025, 40（9）：20230416 doi: 10.13224/j.cnki.jasp.20230416
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The virtual flight test of aircraft involves multi-physical field simulation of many high-precision discipline models such as aerodynamics and structure. Accurate and fast unsteady aerodynamic load field calculation is the key constraint. At present, the calculation cost of unsteady aerodynamics based on computational fluid dynamics is very expensive. In order to improve the calculation efficiency of high-precision unsteady aerodynamic load field and ensure the calculation accuracy, an efficient unsteady aerodynamic load field prediction method based on multi-source data fusion with Co-Kriging model and POD field reduction was proposed. Taking the 4% thickness arc wing as the test object, the unsteady aerodynamic load field was constructed by integrating the low-precision load data calculated by the local flow piston theory and the high-precision simulation data obtained by computational fluid dynamics. The unsteady aerodynamic load and flutter boundary under different flight conditions were analyzed. The results showed that the proposed unsteady aerodynamic load field prediction method based on data fusion had a surface load prediction accuracy of no less than 99.41% in case of interpolation, a surface load prediction accuracy of no less than 83.32% in case of extrapolation, and a flutter analysis result error of no more than 0.637%. The computational efficiency was improved by 285.89 times.
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