Uncertainty-based robustness analysis method and system

Abstract

The invention provides an uncertainty-based robustness analysis method and system. The method comprises the following steps of: determining a plurality of input variables according to position of a mechanism component and judging whether each input variable is an uncertainty input variable or not; when the input variables are uncertainty input variables, calculating a significance measurement index, to output response, of each input variable through an internal model; and obtaining a target input variable according to the significance measurement indexes, and carrying out robustness analysis on a preset system according to the target input variable and a robustness optimization model. According to the method and system, the input variables can be decreased through the significance measurement indexes, and the optimization model can be simplified, so that the efficiency of structural robustness analysis is improved.

Description

technical field [0001] The present disclosure relates to the technical field of structural optimization design, in particular to an uncertainty-based robustness analysis method and an uncertainty-based robustness analysis system. Background technique [0002] The working environment of random vibration will lead to dynamic strength failure problems such as loosening, leakage and cracks of connecting parts in the aviation hydraulic piping system. In order to improve the dynamic characteristics of aviation hydraulic pipelines, it is generally necessary to set a series of support and restraint components on the system to reduce the vibration of the pipeline system, and the position of the support and constraint components will directly affect the reliability of the hydraulic pipeline system. Therefore, it is necessary to optimize the structural robustness of the hydraulic piping system by optimizing the position of the support and restraint components. [0003] The purpose of ...

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Problems solved by technology

[0003] The purpose of traditional structural optimization design is to optimize a certain performance of the structure under the constraint conditions, but the input variables, objective functions and constraint functions are all deterministic, and the influence of a large number of uncertain factors that exist objectively is not considered. The optimal solution obtained by the optimization design may be very sensitive to these uncertain factors, and these uncertain factors are unavoidable in most cases

Therefore, the optimization method based on determinism cannot meet the structural requirements of the actual environment.

In addition, the robustness analysis method in the related art has a large number of input variables and needs to be solved by nested double loops, the calculation speed is slow and the cost is high

[0004] In order to solve the problem of structural optimization caused by uncertain factors that cannot be overcome by traditional optimization methods, a robustness analysis method based on uncertainty is proposed to overcome the shortcomings of traditional optimization and make the structure meet the requirements of reliability and robustness

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