Method for predicting the cutting performance of shield cutter by dividing the cutter into sections

Abstract

The invention discloses a method for predicting the cutting performance of a shield cutter by dividing the cutter into sections, The reduction of cutting performance reliability of cutter system is used to characterize the reduction of cutting performance of cutter head section, Based on the reliability theory combined with degeneration thought, Using a reasonable mathematical statistical model, considering the propulsion environment of shield, the function of cutting performance reliability with shield advancing distance is put forward, Combined with engineering practice, the reference surface group in space rectangular coordinate system considering shield propulsion environment, cutter subarea system reliability and shield propulsion distance is drawn, which provides prediction and reference for the relationship between shield cutter subarea cutting performance and shield propulsion distance in all kinds of environments. This patent can provide a scientific method for the active prediction and selection of the position of shield tunneling in the process of shield tunneling scheme preparation. Considering the environmental factors of shield tunneling propulsion, the prediction ofthe final cutting performance of the tool system is more true and effective.

Description

technical field [0001] The invention belongs to the technical field of shield tunneling engineering construction, and in particular relates to a method for predicting the partition cutting performance of a shield cutterhead cutter. Background technique [0002] Shield construction method, as one of the important construction methods for tunnel excavation in soft ground, is widely used in the construction of subways in major cities at home and abroad. However, the cutting performance of the cutterhead due to the wear of the thrusting tool of the shield tunneling occasionally seriously affects the propulsion efficiency. At this stage, there is still a lack of an effective method for evaluating the cutting performance of the cutterhead as a function of the advancing distance. [0003] The reduction of the cutting performance of the cutter head is largely due to tool wear, and the research on tool wear at this stage mainly focuses on two aspects: 1) Based on empirical analysis a...

AI Technical Summary

Problems solved by technology

Nowadays, all kinds of shield cutting tool systems are generally equipped with tool wear detection knives to evaluate the cutting performance of the cutter head, but only passive tool change can be realized through the detection knife data, and the formation tool of the shield tunnel cannot be checked before the shield tunneling. Pre-evaluation of the wear situation cannot predict the active tool change point. In addition, due to the limited number of detection knives, it cannot reflect the overall wear of the cutterhead tool system

[0004] Dong Hanjun et al. (China Harbor Engineering, 2013 (04): 11-14) used the formula proposed by Zhang Fengxiang (2004) to calculate the amount of tool wear. The impact on tool wear has been highly recognized by the engineering community, but this model only evaluates the cutting ability of the entire cutter head with the wear amount of a single tool. However, the cutter head is a working system composed of several tools, and only a single tool It is inevitable to overgeneralize when considering the working ability of the entire cutter head

[0005] Wu Jun et al. (Journal of Civil Engineering, 2015, 48 (S1): 250-255) used the partial least squares method to analyze the wear amount of the sample, and finally obtained the transformation function of the tool wear amount with various propulsion parameters. Multiple linear regression analysis, canonical correlation analysis and principal component analysis are integrated, which can effectively prevent the influence of too many input variables on the built model, but still does not take into account the comprehensive impact of various wear conditions of the overall cutter on the machinability of the entire cutterhead , in addition, this method requires a lot of sample data, and it is difficult to obtain enough cutter head wear data in actual engineering. When the ground conditions change, it is necessary to collect data again for calculation, in order to obtain a new prediction formula

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