Structure robustness optimization design method containing interval parameter uncertainty

Abstract

The invention discloses a structure robustness optimization design method containing interval parameter uncertainty. The method comprises the following steps that a structure robustness optimization design model based on an internal is built; sample points are obtained by adopting a Latin hypercube sampling and co-simulating technique; a Kriging proxy model for predicting a target function and a constraint function is constructed; an interval robustness optimization design model is solved by adopting a double layer-nested genetic algorithm, left boundaries and right boundaries of the target function and the constraint function are calculated in the inner layer of the genetic algorithm, and in the outer layer of the genetic algorithm, total interval constraint violation degree vectors of all design vectors are calculated, and the feasibility of the total interval constraint violation degree vectors is judged; all the design vectors are subjected to advantage and disadvantage sorting according to a superior relationship criterion based on the interval constraint violation degree vectors; when a largest evolution algebra or convergence threshold value is achieved, the optimal solution of the robustness optimization design model is output, and the structure robustness optimization design containing interval parameter uncertainty is achieved.

Description

technical field

[0001] The invention relates to a robust optimization design method for an uncertainty structure with interval parameters. Background technique

[0002] There are many uncertain factors in the optimal design of structures, such as fluctuations in material properties, manufacturing and assembly errors, and changes in the load environment. The design results obtained by the deterministic optimal design method ignoring these uncertain factors are often very sensitive to uncertain factors, and there are large fluctuations in the target performance of the structure, which cannot meet the work requirements. Therefore, the influence of uncertain factors must be considered in the process of structural optimal design . Since it is often difficult to obtain accurate probability distribution information of uncertainty factors in actual engineering, but only the variation range of uncertainty parameters, it is a simple and effective method to describe these uncertain fa...

Examples

Embodiment Construction

[0043] The present invention will be further described below in conjunction with accompanying drawing and example.

[0044] The information involved in the figure is the actual application data of the present invention in the robustness optimization design of the upper beam of a certain high-speed press, figure 1 It is a flow chart of robust optimization design with interval parameter uncertainty structure.

[0045] 1. Establish an interval-based optimal design model for the robustness of the upper beam

[0046] The three-dimensional solid model of the upper beam of a high-speed press is as follows: figure 2 As shown, the cross-sectional dimension h of the beam above 1 、h 2 , l 1 , l 2 and l 3 is the design variable, such as image 3 As shown, taking the material density ρ and elastic modulus E as uncertain variables, taking the maximum deformation as the objective function, and taking the weight and maximum equivalent stress as the constraint functions, an interval-ba...

technical field

[0001] The invention relates to a robust optimization design method for an uncertainty structure with interval parameters. Background technique

[0002] There are many uncertain factors in the optimal design of structures, such as fluctuations in material properties, manufacturing and assembly errors, and changes in the load environment. The design results obtained by the deterministic optimal design method ignoring these uncertain factors are often very sensitive to uncertain factors, and there are large fluctuations in the target performance of the structure, which cannot meet the work requirements. Therefore, the influence of uncertain factors must be considered in the process of structural optimal design . Since it is often difficult to obtain accurate probability distribution information of uncertainty factors in actual engineering, but only the variation range of uncertainty parameters, it is a simple and effective method to describe these uncertain fa...

Examples

Embodiment Construction

[0043] The present invention will be further described below in conjunction with accompanying drawing and example.

[0044] The information involved in the figure is the actual application data of the present invention in the robustness optimization design of the upper beam of a certain high-speed press, figure 1 It is a flow chart of robust optimization design with interval parameter uncertainty structure.

[0045] 1. Establish an interval-based optimal design model for the robustness of the upper beam

[0046] The three-dimensional solid model of the upper beam of a high-speed press is as follows: figure 2 As shown, the cross-sectional dimension h of the beam above 1 、h 2 , l 1 , l 2 and l 3 is the design variable, such as image 3 As shown, taking the material density ρ and elastic modulus E as uncertain variables, taking the maximum deformation as the objective function, and taking the weight and maximum equivalent stress as the constraint functions, an interval-ba...

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