CN-122021071-A - Dynamic optimization method and device for supporting parameters of TBM penetrating through weak broken stratum

CN122021071ACN 122021071 ACN122021071 ACN 122021071ACN-122021071-A

Abstract

The invention provides a method and a device for dynamically optimizing supporting parameters of TBM penetrating through a weak broken stratum, wherein the method comprises the steps of carrying out rebound test on field surrounding rock through a rebound intensity meter to obtain rebound intensity values, constructing a correlation model of rebound intensity of the field surrounding rock and surrounding rock intensity parameters, drawing up and executing a supporting scheme based on the correlation model, monitoring rebound intensity of the field surrounding rock, actual supporting parameters and actual measured deformation data, carrying out calibration optimization on the correlation model, and updating the supporting scheme. The invention obviously improves the accuracy and adaptability of the support design, solves the problem that the prior related technology has contradiction between the support and the tunneling efficiency caused by strong variability of surrounding rock in the weak broken stratum, realizes the accurate dynamic optimization of the TBM support parameters, obviously improves the tunneling efficiency on the premise of ensuring the construction safety, reduces the engineering cost, and provides an innovative solution for TBM construction in the weak broken stratum.

Inventors

ZHANG CHUANJIAN
LI JIANHE
LI RONGZHEN
LIU QUANQING
PAN JIANG
LIU QI
Cui Dingxu

Assignees

长江勘测规划设计研究有限责任公司

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. A method for dynamically optimizing supporting parameters of TBM penetrating through weak broken stratum is characterized by comprising the following steps: Performing a rebound test on the field surrounding rock through a rebound intensity instrument to obtain a rebound intensity value; Constructing a correlation model of rebound strength of surrounding rock and surrounding rock strength parameters on site; constructing and executing a supporting scheme based on the association model; and monitoring the rebound strength, actual supporting parameters and actual measured deformation data of the surrounding rock on site, and carrying out calibration optimization on the association model to update the supporting scheme.
2. The method for dynamically optimizing support parameters of a TBM traversing a weak fractured formation according to claim 1, wherein the rebound testing of the in-situ surrounding rock by a rebound intensity meter to obtain a rebound intensity value comprises: determining an acquisition section for carrying out rebound test on the surrounding rock on site, and setting a measuring area and a measuring point on the acquisition section; performing rebound test on the field surrounding rock to obtain experimental data, removing abnormal values of the experimental data, and determining a rebound intensity representative value of the current area; and determining the current rebound intensity value of the acquisition section according to the average value of the rebound intensity representative values of different areas on the same acquisition section.
3. The method for dynamically optimizing the support parameters of a TBM penetrating through a weak broken stratum according to claim 1, wherein constructing a correlation model of rebound strength of surrounding rocks and surrounding rock strength parameters in situ comprises: in the same lithology stratum, selecting a hole section which is finished in supporting and has stable supporting deformation, and establishing a sequence SDS; Determining rock mass mechanical parameters of the field surrounding rock according to the sequence SDS, wherein the rock mass mechanical parameters comprise rock mass shear modulus and rock mass shear strength parameters, and the rock mass shear strength parameters comprise cohesive force and internal friction angle; based on the rock mass mechanical parameters, establishing a correlation model between the rebound strength and the cohesive force of the surrounding rock on site; And constructing a surrounding rock deformation expression expressed by adopting rebound intensity by combining the correlation model.
4. A method of dynamically optimizing support parameters of a TBM across a weak fractured formation according to claim 3, wherein obtaining the rock mass shear modulus of an in situ surrounding rock comprises: Obtaining basic shear modulus according to the land survey data of the surrounding rock on site, and obtaining a dynamic shear modulus value by adopting an elastic wave method to carry out reduction calibration; Performing reduction conversion on the dynamic shear modulus value to obtain a static shear modulus reference value range; If the basic shear modulus can be in the static shear modulus reference value range, the basic shear modulus obtained by the geological survey data is directly used as the rock mass shear modulus of the field surrounding rock, otherwise, the field surrounding rock is further subjected to an in-situ load test, and the rock mass shear modulus corresponding to the current lithology is obtained.
5. The method for dynamically optimizing a support parameter of a TBM across a weak fractured formation of claim 3, wherein obtaining a cohesion of the in-situ surrounding rock comprises: calculating the supporting resistance of the supporting structure to the surrounding rock according to the on-site supporting parameters; and (3) adopting the sequence SDS to combine the Kanster solution and the support resistance, and reversely calculating the cohesive force of the surrounding rock on site to establish a correlation data sequence between the rebound intensity value and the cohesive force.
6. The method for dynamically optimizing the support parameters of a TBM penetrating through a weak broken stratum according to claim 5, wherein the step of establishing a correlation model between the rebound strength and the cohesion of the surrounding rock on site based on the rock mechanical parameters comprises the following steps: For a more complete rock mass, carrying out regression analysis on the associated data sequence by adopting a linear correlation relationship to obtain a correlation relationship function; For medium complete rock mass, carrying out regression analysis on the associated data sequence by adopting an exponential function correlation to obtain a correlation function; and for the weak broken surrounding rock, obtaining a correlation between the rebound strength and the cohesive force by adopting machine learning, and obtaining a correlation function.
7. The method for dynamically optimizing support parameters of a TBM penetrating through a weak broken stratum according to claim 6, wherein constructing a surrounding rock deformation expression expressed by rebound intensity by combining the correlation model comprises the following steps: and carrying the correlation function into a Kanster solution to obtain an expression of the support resistance expressed by the rebound strength and the deformation of the surrounding rock.
8. The method for dynamically optimizing support parameters of a TBM traversing a weak fractured formation of claim 7, comprising: Based on the expression of the support resistance of the field surrounding rock and the deformation of the surrounding rock, the maximum allowable deformation is formulated, and the relation between the rebound strength value of the field surrounding rock and the support scheme is established; according to a conventional supporting scheme, determining supporting parameter relation; Presetting a plurality of rebound intensity intervals, and combining the supporting parameter relation to draw a plurality of supporting schemes.
9. The method for dynamically optimizing the supporting parameters of a TBM traversing a weak fractured formation according to claim 8, wherein monitoring rebound strength of surrounding rock, actual supporting parameters and measured deformation data in situ, and performing calibration optimization on the correlation model, updating the supporting scheme comprises: If the deviation between the actually measured deformation data and the maximum allowable deformation amount after supporting exceeds a preset standard, further inverting a correlation model between the rebound intensity value and the cohesive force according to the actually measured deformation data, and updating a supporting scheme and the corresponding relation between the supporting scheme and the rebound intensity.
10. A dynamic optimizing device for supporting parameters of a TBM penetrating through a weak broken stratum, which is characterized by comprising: the test module is used for carrying out rebound test on the field surrounding rock through the rebound intensity instrument to obtain a rebound intensity value; The construction module is used for constructing a correlation model of rebound strength of the surrounding rock and surrounding rock strength parameters on site; the planning module is used for planning and executing a supporting scheme based on the association model; and the optimization module is used for monitoring the rebound strength, the actual supporting parameters and the actual measured deformation data of the surrounding rock on site, carrying out calibration optimization on the association model and updating the supporting scheme.

Description

Dynamic optimization method and device for supporting parameters of TBM penetrating through weak broken stratum Technical Field The invention relates to the technical field of tunnel and underground engineering design, in particular to a method and a device for dynamically optimizing supporting parameters of TBM penetrating through weak broken stratum. Background The open tunnel boring machine (Tunnel Boring Machine, TBM) has been widely used in long tunnel engineering due to its advantages such as high boring efficiency and good boring quality. However, traditional TBM construction presents significant challenges when traversing weak and highly variable formations (e.g., argillite sandstones, carbonaceous shales, fracture zones, etc.). Because of the high spatial variability of the mechanical properties of such formation surrounding rocks, even in the same lithologic formation, the surrounding rock strength, deformation modulus and self-stabilization capacity thereof may vary significantly over short distances due to the differences in the content of mineral components such as argillaceous and sandy and the degree of cementation. At present, a pre-designed and relatively fixed supporting scheme (generally, steel arch spacing, the number of anchor rods and the like are configured according to surrounding rock classification and tunnel burial depth) is adopted for open TBM construction. This relatively immobilized design mode has the following drawbacks: 1. When the surrounding rock condition is better than expected, high-strength support is still adopted, so that material is wasted, and the support operations such as steel arch installation, anchor rod (cable) drilling and the like severely occupy the tunneling time, so that the TBM tunneling efficiency is reduced. 2. When the surrounding rock conditions are suddenly inferior to expected, the preset supporting strength may not be enough to resist the surrounding rock pressure, which can cause excessive deformation of the surrounding rock, even cause geological disasters such as card sending machine, collapse and the like, and the downtime for processing the bad geological problems is longer. The existing support parameter optimization generally adopts an empirical analog method and a numerical simulation method, the former is high in subjectivity and cannot adapt to rapid fluctuation of surrounding rock strength, excessive support or insufficient support is easily caused, the latter depends on preset surrounding rock parameters, the difficulty of rapid change of surrounding rock mechanical parameters is difficult to solve in stratums with high variability, the calculation result is often large in deviation from the actual working condition on site, and the practicability of the optimization result is poor. For the problem that the existing related technology has contradiction between supporting and tunneling efficiency caused by strong variability of surrounding rock in a weak broken stratum, no effective solution is proposed at present. Disclosure of Invention The invention provides a method and a device for dynamically optimizing supporting parameters of TBM penetrating through a weak broken stratum, which are used for solving the defect that the supporting and tunneling efficiency are contradictory due to strong surrounding rock variability in the weak broken stratum in the prior related technology. In a first aspect, the invention provides a method for dynamically optimizing support parameters of a TBM penetrating through a weak broken stratum, comprising the following steps: Performing a rebound test on the field surrounding rock through a rebound intensity instrument to obtain a rebound intensity value; Constructing a correlation model of rebound strength of surrounding rock and surrounding rock strength parameters on site; constructing and executing a supporting scheme based on the association model; and monitoring the rebound strength, actual supporting parameters and actual measured deformation data of the surrounding rock on site, and carrying out calibration optimization on the association model to update the supporting scheme. According to the method for dynamically optimizing the supporting parameters of the TBM penetrating through the weak broken stratum, which is provided by the invention, the rebound test is carried out on the on-site surrounding rock through the rebound intensity meter to obtain the rebound intensity value, and the method comprises the following steps: determining an acquisition section for carrying out rebound test on the surrounding rock on site, and setting a measuring area and a measuring point on the acquisition section; performing rebound test on the field surrounding rock to obtain experimental data, removing abnormal values of the experimental data, and determining a rebound intensity representative value of the current area; and determining the current rebound intensity value of the acquisition section according to