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Adaptive classifying method for tunnel construction by boom roadheader

A technology of cantilever roadheader and grading method, which is applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of saving excavation cost and improving excavation efficiency

Pending Publication Date: 2017-12-15
GUIYANG URBAN RAIL TRANSIT CO LTD
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Problems solved by technology

[0004] The invention aims to solve the problem of grading the surrounding rocks in the construction of cantilever roadheaders for urban subway tunnels

Method used

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  • Adaptive classifying method for tunnel construction by boom roadheader
  • Adaptive classifying method for tunnel construction by boom roadheader
  • Adaptive classifying method for tunnel construction by boom roadheader

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Experimental program
Comparison scheme
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Embodiment Construction

[0049] 1. Establish BQ and Q specific implementation methods

[0050] 1. Establish the correlation between BQ and Q. The uniaxial compressive strength measurement of rock and the elastic wave velocity test of rock mass. Except for the rock mass quality index RQD, the other parameters of the Q system method are all obtained from the results of the field investigation, which is relatively arbitrary. However, this method only needs to measure the uniaxial compressive strength of the rock block, so easier. According to a large number of research results, BQ and Q have a good correlation, as follows figure 1 shown.

[0051] It can be seen from the figure that the accuracy of data fitting is high, the correlation coefficient is 0.95, and BQ and Q are in logarithmic relationship. The relationship between the two is:

[0052] BQ=61.934ln(Q)+177.96 (1)

[0053] or Q=0.057e 0 016BQ (2)

[0054] 2. "BQ 机 "Establishment.

[0055]Because the national standard BQ classification...

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Abstract

An adaptive classifying method for tunnel construction by a boom roadheader is characterized by comprising the following steps: step 1, establishing correlativity between BQ and Q; step 2, establishing a surrounding rock classification model BQ machine for the boom roadheader; step 3, establishing correlation between the BQ machine and each of drilling and tunneling rate (PR) and advancing rate (AR); step 4, performing classification according to revised rock mass basic mass coefficient (BQ machine); step 5, finely adjusting the BQ machine and an attenuation rate; step 6, classifying surrounding rock. The adaptive classifying method has the following advantages: extrusion deformation of tunnel face by unexcavated rock mass in front of the tunnel face and convergence deformation of the tunnel face can be limited effectively, advanced support is not needed under the condition that the surrounding rock class is not low, tunnel excavation cost is saved, and the tunneling efficiency of the boom roadheader is increased. The tunneling speed, the advancing speed and the excavation footage of the boom roadheader are predicted according to the surrounding rock classification.

Description

technical field [0001] The invention relates to an underground engineering rock mass classification method, in particular to a construction adaptability classification method of a cantilever roadheader for tunnels in urban subway sections. Background technique [0002] The underground rock mass is a complex geological body, and the geological environment is full of differences and randomness, which leads to the design and construction environment of underground engineering is much more complicated than that of surface engineering. The classification of surrounding rock and the determination of mechanical parameters of surrounding rock are the basic premise of underground engineering design and construction. In the current codes of our country, there are mainly two types of surrounding rock classification methods: one is qualitative classification methods, mainly including "Code for Design of Railway Tunnels" and "Technical Specifications for Bolt Sprayed Concrete Support", e...

Claims

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Application Information

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IPC IPC(8): G01N33/24G06F17/50
CPCG01N33/24G06F30/20Y02P90/30
Inventor 张乾国陈发达宋战平高志勇王祥涂文良田小旭
Owner GUIYANG URBAN RAIL TRANSIT CO LTD
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