Reliability robust design method for multi-failure mode of superdeep well lifting container

A robust design and failure mode technology, applied in design optimization/simulation, instruments, calculations, etc., can solve design and later maintenance deviations, reduce accuracy and other issues, to ensure robustness, improve robustness, improve modeling efficiency and The effect of computational precision

Pending Publication Date: 2018-03-23
CHINA UNIV OF MINING & TECH
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Problems solved by technology

Therefore, defining the reliability of the lifting vessel only from a single failure mode will reduce the accuracy

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  • Reliability robust design method for multi-failure mode of superdeep well lifting container
  • Reliability robust design method for multi-failure mode of superdeep well lifting container
  • Reliability robust design method for multi-failure mode of superdeep well lifting container

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Embodiment Construction

[0046] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0047] Such as figure 1 As shown, the reliability and robust design method of the multi-failure mode of the ultra-deep well hoisting vessel proposed by the present invention comprises the following steps:

[0048] Step 1. According to the original design drawings of the lifting container or through on-site surveying and mapping, obtain the mean value and variance of parameters such as the structural size, material properties and dynamic load of the lifting container;

[0049] Step 2. According to the structural parameters of the lifting container, a three-dimensional parametric model of the lifting container is established, and a finite element static analysis is performed on the established virtual prototype model;

[0050] Step 3, by experimental design method, according to the mean value and the variance of each basic parameter of lifting container ...

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Abstract

The invention discloses a reliability robust design method for a multi-failure mode of a superdeep well lifting container. The method includes the following steps of (1) determining structural parameters, material properties and dynamic load randomness of the lifting container, and adopting an experiment design method for figuring out a random response to a structure failure under random parameters; (2) according to a failure criterion of the lifting container, creating a reliability performance function under each failure mode; (3) taking the probability correlation among the failure modes into account, and adopting a copula theory for creating a combined probability model of correlative failures; (4) creating a system reliability model correlative with failures of the lifting container under the combination of the combined probability model; (5) creating a sensitivity model of the system reliability of the lifting container for each random parameter; (6) under the combination of an optimization design model, creating a lifting container reliability robust optimization design model with the combined failure probability and parameter sensitivity as constrains.

Description

technical field [0001] The invention relates to a robust design method for system reliability of mechanical products aimed at hoisting containers in ultra-deep wells and considering failure mode probability correlation, and belongs to the field of mechanical structure reliability technology research. Background technique [0002] At present, most of the coal wells in my country are shallow wells, 500-800m deep to the ground, and coal resources buried at a depth of 1000-2000m account for about 53% of the total reserves, and a kilometer-deep well hoisting system must be used (including hoists, hoisting containers, lifting wire rope, etc.). The lifting container is responsible for loading and unloading the mined coal resources, and it bears a large vertical load during the lifting and lowering process. Due to the complex environment of the underground lifting, the lifting container has various failure modes under the action of dynamic load. Considering the uncertainty of the li...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/23E21F13/00G06F2111/08G06F2111/10G06F2119/02G06F2111/04
Inventor 卢昊朱真才周公博彭玉兴曹国华李伟沈刚王大刚江帆
Owner CHINA UNIV OF MINING & TECH
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