Genetic algorithm-based elevator landing door multi-objective optimization design method

Abstract

The invention discloses a genetic algorithm-based elevator landing door multi-objective optimization design method. The method comprises the following steps: determining structural parameters of an elevator landing door to be analyzed; establishing a landing door structure 3D parameter kinetic model; determining a space design variable and a target function; planning experiment sample points; extracting the experiment sample points; according to the response value, establishing a second-order response surface model for reflecting the relationship between structural design input and output; obtaining an optimal solution of the response surface model; verifying design reliability and accuracy. The method has the advantages that due to the fact that the landing door structure 3D parameterization kinetic model is established, optimal solutions of all design variables are searched for through a response surface method and a genetic algorithm, the optimal matching relation of all design parameters is accurately determined, the landing door structure design efficiency is improved, and product performance estimation in the design stage is achieved. In addition, the optimal parameter matching relation ensures that the weight of the landing door is reduced. The static rigidity of the landing door is improved. The first-order inherent frequency is improved. The safety and the reliabilityof the landing door are improved. The design and manufacturing cost is reduced.

Description

technical field [0001] The invention relates to a structural design of an elevator landing door; in particular, it relates to a genetic algorithm-based multi-objective optimal design method for an elevator landing door. Background technique [0002] The static stiffness and dynamic performance of the landing door have an important impact on whether the elevator can ensure safe operation. The traditional landing door structure design often plans the thickness of the door leaf plate, the thickness of the rib plate, the width of the rib plate, the number of ribs and the guiding device based on early experience. Or keep the parameters such as the minimum meshing depth allowed by the device, and blindly design it, which will easily cause problems such as lower performance in all aspects of the landing door and greater weight, resulting in increased manufacturing costs and lower mechanical properties. [0003] At present, the optimization design of landing door structure design pa...

AI Technical Summary

Problems solved by technology

This method is difficult to ensure that the selected parameters are optimal and it is difficult to optimize the combination of all design parameters. It takes a lot of time to select parameters and conduct numerical simulation analysis and calculation at the same time, which cannot meet the requirements of modern landing door structure design and production.

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