First-order sensitivity coefficient estimation method for related variable group and unrelated variable group of wing

Abstract

The invention discloses a first-order sensitivity coefficient estimation method for a wing correlation variable group and a wing ircorrelation variable group. The method comprises the following steps: (1) establishing a calculation model taking the maximum stress of an aircraft wing as a target function; (2) constructing a conversion matrix of related variables; (3) representing related variables by using independent random variables; (4) obtaining a first-order sensitive coefficient of a related variable group in the calculation model according to the first-order sensitive coefficient of the independent random variable group; (5) obtaining a first-order sensitive coefficient of the irrelevant variable group; and (6) correcting the distribution of wing parameters according to the obtained sensitivity coefficient, and reducing the fluctuation range of the maximum stress of the aircraft wing. According to the method, under the condition that the input variables obey multivariate normal distribution, the estimation process of the first-order sensitive coefficients of the related variable group and the unrelated variable group in the wing maximum stress calculation model is simplified, the convergence speed of the first-order sensitive coefficients is improved, and the sampling method of the related variables and the unrelated variables in the wing maximum stress calculation model is improved.

Description

technical field [0001] The invention relates to a method for estimating sensitivity coefficients, in particular to a method for estimating first-order sensitivity coefficients of wing-related variable groups and irrelevant variable groups. Background technique [0002] Reducing the variation range of the maximum stress of the aircraft wing can not only ensure the structural safety of the aircraft, but also improve the utilization efficiency of wing materials. There are correlated variable groups and irrelevant variable groups in the mathematical model of aircraft wing stress, and the contribution of the two variable groups to the maximum stress variance of the wing is not the same. If the sensitivity coefficients of the relevant variable group and the irrelevant variable group can be quickly obtained, and the parameters of the aircraft wing can be adjusted according to the sensitivity coefficient, the fluctuation range of the maximum stress of the aircraft wing can be effect...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: the present invention aims to provide a method for estimating the first-order sensitivity coefficients of wing-related variable groups and irrelevant variable groups, to solve the problem of the first-order sensitivity coefficients of related variable groups and irrelevant variable groups in the process of analyzing the global sensitivity of aircraft wing maximum stress. The estimation process is complicated, the estimation results are not easy to converge, and the input variable sampling efficiency is low, which leads to the unsatisfactory adjustment of the aircraft wing structure parameters.

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