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Tunnel monitoring displacement measurement end-section data regression analysis method

A technology of regression analysis and segment data, which is applied in the field of tunnel monitoring displacement measurement data processing, can solve problems such as failure to achieve fitting effect, increased workload, loss of meaning of prediction guidance, etc., and achieve the effect of improving data processing efficiency

Inactive Publication Date: 2016-05-25
郝士华
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Practical application shows that if the overall regression analysis method is applied without analysis, the regression curve will deviate from the measured curve, and the fitting effect will not be achieved. Therefore, the deviation between the predicted value and the measured value is large, and the prediction of subsequent construction links will be lost. The significance of guidance; and the segmented regression method needs to use three functions to fit each segment of the curve, and the number of fitting functions will be three times the number of segments, which greatly increases the workload, especially when the section is dense and In the analysis of tunnel construction data with long monitoring time, the processing of a large amount of data will undoubtedly increase the workload exponentially.

Method used

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  • Tunnel monitoring displacement measurement end-section data regression analysis method
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  • Tunnel monitoring displacement measurement end-section data regression analysis method

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Taking the DK512+116 section of a railway tunnel as an example, the workload and curve regression degree of the two existing methods are compared. figure 1 The corresponding functions in are shown in Table 1; figure 2 The corresponding functions in are shown in Table 2.a-Table 2.c. In the table, t is the time, u is the cumulative measured displacement value, and the u value when t tends to infinity is the predicted value (the same below).

[0033]

[0034] Table 1. All the data are fitted with the whole section of the three functions

[0035]

[0036] Table 2.a The result table of the first segment of segmented regression analysis

[0037]

[0038] Table 2.b Results table of the second segment of segmented regression analysis

[0039]

[0040] Table 2.c The result table of the third segment of segmental regression analysis

Embodiment 2

[0042] Because the excavation data characteristics of the step method present segmental curve characteristics, it is representative, and the overall regression can be regarded as a special case of segmental regression. Therefore, taking the stepwise excavation data regression analysis of a railway tunnel DK512+116 section as an example, the main steps are as follows:

[0043] A. Make a scatter diagram based on the measured displacement data, and draw the measured curve. According to the original data of the cumulative displacement value in Table 3, with time t as the abscissa and the cumulative measured displacement value u as the ordinate, a scatter diagram is formed and the measured curve is drawn, see image 3 .

[0044] t(d)

u(mm)

t(d)

u(mm)

t(d)

u(mm)

t(d)

u(mm)

t(d)

u(mm)

1

0

11

13.4

21

21.6

31

30.0

41

31.6

2

1.2

12

14.8

22

23.9

32

31.2

42

3...

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Abstract

The invention belongs to a tunnel monitoring displacement measurement data processing method and particularly discloses a tunnel monitoring displacement measurement end-section data regression analysis method. The method comprises the steps of according to displacement measurement data, making a scatter diagram and drawing an actual measurement curve; selecting end-section data close to a final accumulated and actually measured displacement value of not less than 5 days in the actual measurement curve; performing regression analysis on the selected end-section data; calculating a predicted displacement value; and according to the requirements of ''railway tunnel monitoring measurement technology regulations (Q / CR 9218-2015)'', comparing the accumulated and actually measured displacement value with the predicted displacement value to judge whether surrounding rock is stable or not. The method overcomes the technical defects of easy deviation, high segmental regression workload and the like of an original overall regression analysis method in the prior art, and has the advantages of capability of performing regression analysis for actual measurement data formed with different tunnel excavation methods, high data processing efficiency, capability of realizing the same prediction accuracy as a piecewise regression method, and the like.

Description

technical field [0001] The invention belongs to a data processing method for tunnel monitoring displacement measurement, in particular to a method for regression analysis of data at the end of tunnel monitoring displacement measurement. Background technique [0002] The main processes of railway tunnel construction include excavation, primary support, secondary lining and other main processes. According to the different excavation methods of the surrounding rock level, it can be divided into partial excavation methods such as full-section method and step method; primary support mainly includes steel support, hanging net, shotcrete and other processes; secondary lining refers to molded concrete . The technical requirements of the "Technical Regulations for Railway Tunnel Monitoring and Measurement (Q / CR9218-2015)" (hereinafter referred to as the regulations) specify the timing of the secondary lining in the above-mentioned main process, which needs to be determined through t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 郝士华王艳璐娄国充牛耀文贺雷宁周海强耿俊杰魏晓楠李慧勇柴波
Owner 郝士华