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

A multi-objective optimization and genetic algorithm technology, applied in the field of elevator landing door structure design, can solve problems such as difficulty in optimizing design parameter combinations, inability to meet production requirements, and difficulty in ensuring optimal parameters, so as to reduce blindness and improve Design efficiency, the effect of improving the safety and reliability of the landing door

Pending Publication Date: 2019-11-01
TIANJIN SPECIAL EQUIP INSPECTION INST
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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 sele

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

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0027] Such as figure 1 with figure 2 Shown, a kind of elevator floor door multi-objective optimal design method based on genetic algorithm of the present invention comprises the following steps:

[0028] 1. Determine the structural design parameters of the elevator landing door to be analyzed; this parameter includes the thickness of the door leaf plate a, the thickness of the rib plate b, the width c of the rib plate, the number of ribs d, and the minimum meshing depth e allowed by the guide device or the retaining device. The above parameters have a great influence on the structural performance of the landing door. TSG T7007——2016 "Elevator Type Test Rules" stipulates that the above parameters are the main parameters of the landing door. If the above parameters change, the type test should be carried out again, so the present invention sele...

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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...

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Application Information

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IPC IPC(8): G06F17/50B66B13/30
CPCB66B13/30
Inventor 薛令军吴颖坤王铭鑫
Owner TIANJIN SPECIAL EQUIP INSPECTION INST
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