Reconstruction of engine inlet total pressure distortion based on wall static pressure

In order to establish an aero-engine inlet total pressure distortion estimation method for the application of engine distortion tolerance control，using the measured steady and dynamic pressure data of inlet distortion flow field simulating test，a study of reconstructing steady total pressure distribution and steady-state circumferential distortion index and dynamic total pressure turbulence based on steady and dynamic wall static pressures by using neural network method was conducted. The result showed that the steady total pressure distribution could be well related to the wall steady static pressure by neural network model，so that the steady total pressure flow field could be reconstructed from wall steady static pressure，the high and low pressure extent and steady-state circumferential distortion index of reconstructed total pressure field were very close to those of measured flow field. Adding center total pressure and more wall steady static pressure probes data into the neural network inputs could improve the reconstructing accuracy. The dynamic total pressure turbulence level can be reconstructed by dynamic static pressure turbulence and airflow Mach number，with the reconstruction error within ±0.25%. © 2023 BUAA Press. All rights reserved.