Feedback analytical method and feedback analytical device during tunnel construction and based on extreme learning machine

An extreme learning machine and tunnel construction technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as complex algorithms, long time-consuming calculation of 3D models, and large randomness

Active Publication Date: 2014-12-03
DALIAN MARITIME UNIVERSITY
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Problems solved by technology

Firstly, from a qualitative point of view, the type of surrounding rock can be determined through the information feedback revealed by excavation; secondly, from a quantitative point of view, surrounding rock parameters can be further obtained through mechanical back analysis, which provides a basis for numerical simulation calculations during tunnel construction. Tunnel back analysis The process is essentially a complex optimization problem. Aiming at the limitation

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  • Feedback analytical method and feedback analytical device during tunnel construction and based on extreme learning machine
  • Feedback analytical method and feedback analytical device during tunnel construction and based on extreme learning machine
  • Feedback analytical method and feedback analytical device during tunnel construction and based on extreme learning machine

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Embodiment Construction

[0072] Such as figure 1 A feedback analysis method in tunnel construction based on extreme learning machine is shown, including the following steps:

[0073] Step 1: Construct sample set I for surrounding rock classification and sample set II for identifying surrounding rock parameters, and perform step 2;

[0074] Step 2: Divide the sample set I into training sample set I and test sample set I, divide the sample set II into training sample set II and test sample set II, and perform step 3;

[0075] Step 3: Use the input layer weight and hidden layer offset of the extreme learning machine as the individual of the differential evolution algorithm, and randomly generate the initial population through the differential evolution algorithm; the individual is a set of potential solutions, which can be represented by an array ;The number of individuals is artificially set according to the population size, go to step 4;

[0076] Step 4: Calculate the fitness value of each individual...

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Abstract

The invention discloses a feedback analytical method and a feedback analytical device during tunnel construction and based on an extreme learning machine. The feedback analytical method comprises the following steps: the optimal input layer weight and the optimal hidden layer offset are utilized to train and learn a training sample set I and a training sample set II through the extreme learning machine so as to obtain a rock classification evolution extreme learning machine model and a rock parameter identification evolution extreme learning machine model; rock classification influence factors disclosed during the tunnel construction process are obtained; the rock classification influence factors are inputted, and a rock classification result is outputted through the rock classification evolution extreme learning machine model; the rock displacement of a tunnel is monitored and obtained; according to the rock classification result, and within different rock classification ranges, the obtained rock displacement is combined, and the rock mechanical parameter is obtained by utilizing the differential evolution algorithm and the rock parameter identification evolution extreme learning machine model. According to the invention, the rock classification result and the rock mechanical parameter can be rapidly obtained, the predication is accurate, and the accuracy is high.

Description

technical field [0001] The invention relates to a feedback analysis method and device in tunnel construction, in particular to a feedback analysis method and device in tunnel construction based on an extreme learning machine. Background technique [0002] The tunnel is a concealed project built underground. The uncertainty and complexity of the geological body make the design and construction of the tunnel blind. It is of great significance to carry out feedback analysis on rocks. [0003] Feedback analysis in tunnel construction is a necessary process for the transformation of geological bodies from black box to gray box, and a prerequisite for dynamic adjustment of tunnel support schemes. Firstly, from a qualitative point of view, the type of surrounding rock can be determined through the information feedback revealed by excavation; secondly, from a quantitative point of view, surrounding rock parameters can be further obtained through mechanical back analysis, which prov...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 姜谙男江宗斌
Owner DALIAN MARITIME UNIVERSITY
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