Aircraft structure response characteristic prediction method, device, equipment and medium

Abstract

The invention relates to an aircraft structure response characteristic prediction method and device, equipment and a medium. The method comprises the steps of acquiring design variables of a to-be-predicted aircraft structure and the change range of the design variables; adopting a Latin hypercube experimental design method to respectively generate a training set and a test set which are uniformly distributed within the variation range of the design variables; utilizing a finite element analysis simulation method to generate a structural response characteristic training set corresponding to the training set; based on the structural response characteristic training set, constructing a structural response characteristic approximation model of the aircraft structure by adopting a radial basis function method, and constructing an auxiliary optimization problem of the structural response characteristic approximation model; optimizing the auxiliary optimization problem by using a differential evolution algorithm to obtain an optimal shape parameter at a test set sample point of the test set; and substituting the optimal shape parameter into the structure response characteristic approximation model, and reconstructing to obtain a response characteristic approximation model of the aircraft structure for predicting the structure response characteristic of the aircraft structure. And the aircraft structure response characteristic prediction efficiency is high.

Description

technical field [0001] The present application relates to the technical field of aircraft design, in particular to a method, device, equipment and medium for predicting the response characteristics of aircraft structures. Background technique [0002] In recent decades, with the gradual improvement of numerical calculation theory and the development of computing power, high-fidelity subject simulation models have been widely used in modern engineering design problems, especially structural optimization design problems. High-fidelity subject simulation models (such as finite element analysis models and computational fluid dynamics models) can capture complex physical processes of real-world phenomena with high precision, improving the reliability of design results. However, in engineering modeling and optimization design problems, a large amount of data support is often required, and the use of high-fidelity subject simulation models will inevitably bring huge computational c...

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Problems solved by technology

However, in the process of realizing the present invention, the inventors found that the aforementioned traditional engineering approximate modeling method

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