An Enhanced Weighted Regression Model for Compressor Blisk Safety Analysis Regarding Dynamics and Uncertainty

The reliability of aeroengine compressor blisk is affected by the uncertainty of numerous parameters involving geometer, materials, loads, and so forth. To efficiently and accurately assess the reliability of aeroengine compressor blisk stress, an enhanced weighted regression model (EWRM) was proposed by integrating extremum response surface method (ERSM) and enhanced weighted regression method, in respect of the transient and uncertainty of numerous parameters. For the proposed method, the ERSM is utilized to process the transient problem of dynamic reliability to acquire highly-computational efficiency, and the enhanced weighted regression method is used to find efficient samples with larger weights and smaller errors to enhance calculative accuracy. We firstly elaborated the basic principle of the developed technique in dynamic reliability assessment, and the mathematical model of EWRM was then established, regarding fluid-structure interaction and random inputs (inlet velocity, outlet pressure, angular speed and material density) during time domain [0, T]. Finally, the dynamic probabilistic analysis of compressor blisk stress with the developed EWRM was implemented compared with the direct simulation with Monte-Carlo (MC) method and ERSM from fitting accuracy and simulation performance. We find that the reliability probability and important degrees of influential factors can be regarded guiding the optimization design of compressor blisk stress; the EWRM improves the efficiency and precision of dynamic probabilistic analysis of compressor blisk. It is validated that the EWRM is highly computational precision and efficiency in the dynamic reliability and sensitivity assessment of compressor blisk. The efforts of this work provide a promising technique for the dynamic probabilistic analysis of complex structure with working process.