Method for polymorphic and dynamic reliability assessment for shield cutterhead and drive system

Abstract

The invention discloses a method for polymorphic and dynamic reliability assessment for a shield cutterhead and a drive system. The method comprises the following steps of firstly, establishing a dynamic fault trees for failure of an earth pressure balance shield machine cutterhead and a drive system; secondly, determining a failure rule for a polymorphic and dynamic gate and extending an established dynamic fault tree model to polymorphism; and lastly, establishing a dynamic Bayesian network model for system failure for a dynamic Bayesian network transformation rule according to the dynamic fault tree and determining system reliability. According to the method, a problem that the dynamic reliability analysis of the shield cutterhead and the drive system cannot consider polymorphism, dynamics and interdependency simultaneously is solved, the dynamic reasoning can be carried out according to the statistical data for failure of basic events, and the more efficient and accurate decision information is provided for fault maintenance and repair of a shield machine.

Description

technical field [0001] The invention discloses a new multi-state dynamic reliability evaluation method for a shield cutter head and a drive system, and belongs to the technical field of reliability evaluation of urban rail transit equipment. Background technique [0002] In recent years, with the rapid development of my country's urban rail transit construction, more and more shield tunnels are being constructed in complex geological environments. When the shield machine passes through uneven soft and hard, complex and changeable, sandy pebbles and other adverse geological formations, it is very prone to failures such as wear of the cutter and cutterhead, failure of the bearing seal, and damage to the reducer. Since the shield machine works underground, the working environment is harsh and the working space is small. Once a fault occurs, it is very difficult to repair and seriously affect the construction period. If it is not handled properly, it will easily lead to safety a...

AI Technical Summary

Problems solved by technology

The Monte Carlo finite element method uses loads, material parameters and other mechanical indicators as random variables for numerical simulation to calculate the failure probability of the shield cutter head, and cannot consider the influence of non-mechanical indicators such as construction parameter selection and operation errors

Although the static Bayesian network method can express the influ

Images