Multi-failure mode reliability evaluation method for the main shaft of hoist in thousand-meter deep well

Abstract

The invention discloses a method for evaluating the reliability of the main shaft of a hoist in a kilometer deep well considering multiple failure modes. First, a parameterized three-dimensional model of the main shaft is established according to the structural size of the main shaft; secondly, a random variable is established according to the probability attribute of the main shaft random variable The sampling matrix of variables, and use the finite element method to solve the strength and stiffness response of the main axis under the sampling matrix, again, use the neural network method to establish an explicit function between the response and the random variable matrix, according to the strength and stiffness design criteria, respectively establish the strength and stiffness failure modes, and then use the saddle point approximation method to calculate the two failure probabilities. Finally, use the Clayton copula function to construct the joint failure probability model between the two failure modes, and use the interval reliability method to solve the joint failure. system reliability. The invention considers the probability correlation between failure of strength and stiffness, and can more accurately and reasonably evaluate the system reliability of the main shaft of the hoist.

Description

technical field [0001] The invention relates to a system reliability evaluation method of a mechanical product for the main shaft of a hoist in a kilometer deep well and considering the probability correlation of failure modes, and belongs to the technical research field of mechanical structure reliability. 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.). As the main load-bearing part of the hoist, the main shaft bears all the torque of lifting and lowering the load, and also bears the tension of the steel wire ropes on both sides. As the depth of the well reaches more than 1,000 meters, the maximum static tension of the hoist and the number of winding layers of the main shaft drum inc...

AI Technical Summary

Problems solved by technology

Due to the homology of the excitation and the identity of the characteristic parameters of the characterization system, there is a common correlation between the faults of the main shaft of the hoist. Neglecting this feature will make it difficult to obtain accurate failure data and reliability information.

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