Bridge crane girder reliability calculation method based on new adaptive agent model

An overhead crane and self-adaptive proxy technology, which is applied to the reliability of overhead crane structures and the reliability assessment of other overhead crane structures, can solve problems such as low efficiency and large demand for variable data.

Pending Publication Date: 2021-08-13
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0004] In order to solve the problems of low efficiency and large demand for variable data in the existing methods for assessing the reliability of the main girder of bridge cranes, the present invention discloses a method for evaluating the reliability of the main girder of bridge cranes based on an adaptive surrogate model

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  • Bridge crane girder reliability calculation method based on new adaptive agent model
  • Bridge crane girder reliability calculation method based on new adaptive agent model
  • Bridge crane girder reliability calculation method based on new adaptive agent model

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Embodiment Construction

[0022] The following examples are only preferred technical solutions of the present invention, and are not intended to limit the present invention in any way. Various modifications and variations of the present invention will occur to those skilled in the art. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

[0023] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0024] 1) Define the reliability calculation problem, and select a 32-ton general-purpose bridge crane as a calculation example.

[0025] 2) The lifting load, the elastic modulus of the material, the span and the moment of inertia of the section are selected as the indicators affecting the reliability. Here, only some factors that have a greater impact on the reliability are selected as the...

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Abstract

The invention discloses a bridge crane girder reliability calculation method based on a new adaptive agent model. Firstly, establishing a parameterized finite element model of the bridge crane; secondly, establishing a new self-adaptive agent model by using a small amount of calculation results; and finally, solving the reliability of the main beam of the bridge crane by utilizing the self-adaptive agent model. According to the method, the corresponding reliability can be calculated as long as the variables required by calculation meet the requirement that the probability distribution function is clear, so that the method has a relatively high practical value. And moreover, the calling frequency is greatly reduced by improving the reliability calculation process, and the calculation time is greatly shortened.

Description

technical field [0001] The invention belongs to the technical field of hoisting machinery, and in particular relates to the reliability of a bridge crane structure, which is applicable to the reliability assessment of general bridge cranes and also applicable to the reliability assessment of other bridge crane structure types. Background technique [0002] Bridge crane is a common lifting equipment, which is used in many engineering fields. Once the bridge crane structure fails, it will seriously affect the production efficiency, and cause casualties. Therefore, it is particularly important to obtain an accurate structural reliability of the bridge crane during the design and evaluation stages of the bridge crane. [0003] The existing evaluation methods for bridge crane structures are not practical enough, and the parameters considered in the evaluation are few and the failure modes are simple. At the same time, due to the complexity of the structural limit state equation...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/23G06F111/08G06F119/02G06F119/14
CPCG06F30/17G06F30/23G06F2111/08G06F2119/02G06F2119/14
Inventor 杨瑞刚李文昭刘玉珍景玮宸
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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