CN-121611462-B - Dynamic control method for shield tunneling based on propulsion-sedimentation-grouting closed-loop linkage

CN121611462BCN 121611462 BCN121611462 BCN 121611462BCN-121611462-B

Abstract

The invention belongs to the technical field of civil engineering, and discloses a shield tunneling dynamic control method based on propulsion-settlement-grouting closed-loop linkage, which comprises the following steps of S1, setting settlement monitoring points and acquisition devices and acquiring data; S2, settlement data analysis and multistage early warning identification, S3, grading response adjustment of synchronous grouting parameters, S4, propulsion parameter coupling optimization control, S5, grouting effect evaluation and parameter correction, and S6, secondary grouting and emergency plugging mechanism. According to the shield tunneling dynamic control method, three elements of propulsion, sedimentation and grouting are brought into a unified dynamic closed-loop control framework for the first time, multisource monitoring data, an early warning mechanism and a parameter collaborative optimization strategy are fused, intelligent coupling control of sedimentation prediction, response adjustment and feedback evaluation in the shield tunneling process is realized, and pertinence, instantaneity and construction safety of grouting regulation are effectively improved.

Inventors

LI CHUANLIN
PENG CHENGCHENG
HU PENGJUN
MA TINGTING
WANG MIN
WANG JUNSHENG
WU CHUN
FU JINCHENG
Qiao shifan
CHEN JIAQI

Assignees

中交(深圳)工程局有限公司
中南大学

Dates

Publication Date: 20260508
Application Date: 20260203

Claims (10)

1. The shield tunneling dynamic control method based on the propulsion-sedimentation-grouting closed loop linkage is characterized by being executed by a shield tunneling dynamic control system and comprising the following steps of: s1, arranging subsidence monitoring points and acquisition devices in key monitoring areas according to earth surface subsidence conditions of shield construction sections, acquiring earth surface subsidence data of each monitoring point in real time, and forming a subsidence monitoring database; S2, retrieving the earth surface subsidence data of each monitoring point from a subsidence monitoring database in real time to construct a comprehensive risk index model, judging the state of the earth surface subsidence data according to the risk indexes of each monitoring point, carrying out trend prediction on the earth surface subsidence data of the monitoring point entering an early warning state, determining the early warning grade of the monitoring point based on the difference value between the predicted value and the real-time subsidence monitoring data, and then screening out an important control area according to the early warning grade, wherein the method comprises the following specific steps: S2.1, earth surface subsidence data of each monitoring point are retrieved in real time from the subsidence monitoring database, including subsidence quantity, subsidence rate and trend change data, and are uploaded to a data management module of the shield tunneling dynamic control system, wherein the trend change data is a trend feature set calculated based on subsidence time sequence data and at least comprises subsidence rate change features and subsidence acceleration features; s2.2, constructing a comprehensive risk index model integrating settlement amount, settlement rate and settlement acceleration according to the acquired ground surface settlement data: Wherein, the Represent the first The monitoring points are at the moment Risk index of (2); Represent the first The monitoring points are at the moment The measured settlement amount; And Respectively represent the first The monitoring points are at the moment Is used for the sedimentation velocity and the sedimentation acceleration, And The differential and second-order differential of the settlement quantity sequence at adjacent sampling moments can be obtained; 、、 Respectively representing the setting reference values of the actually measured settlement amount, settlement rate and settlement acceleration; 、 And Representing the empirical weight coefficient when When the monitoring point is in the early warning state, wherein the method comprises the steps of Is an early warning threshold; S2.3, introducing a long-term and short-term memory neural network model to conduct trend prediction on earth surface subsidence data of monitoring points entering an early warning state so as to identify sudden abnormal changes, wherein: (1) The input of the model is a historical data sequence of monitoring points: In the above-mentioned method, the step of, Representing the model at time Is corresponding to the first Monitoring points; The input vector formed by splicing in time sequence is represented by the aggregate symbol; indicating past use The history of the individual time steps is used as input, The starting time of the historical sequence is; representing shield support pressure; For the moment of time Is used for shielding tunneling speed; (2) The output of the model is the sedimentation predicted value at the next moment ; (3) Calculating a difference value between the settlement predicted value and the actually measured settlement amount, and judging whether the monitoring point is abnormal at the future time according to the difference value: In the above-mentioned method, the step of, Representing a sedimentation difference value; The settling volume measured at the next moment; s3, respectively making corresponding grouting adjustment strategies according to the risk grades of the key control areas, and performing grouting operation; S4, constructing a coupling control model according to the real-time propulsion working condition data of the construction ring section, wherein the coupling control model is used for comprehensively evaluating the settlement index and the grouting strategy execution result and sending a propulsion parameter linkage correction instruction according to the evaluation result; S5, after the construction ring section is pushed and grouting operation is completed, the construction parameters corresponding to the ring section are called to construct a grouting effect evaluation data set, a grouting-pushing-settlement three-dimensional data association model is constructed based on the data set and the earth surface settlement data in the corresponding time period, and control effect evaluation is carried out based on key indexes in the association model; And S6, starting a secondary grouting and emergency plugging mechanism after the condition that the secondary grouting triggering condition is met is monitored.
2. The method for dynamically controlling shield tunneling according to claim 1, wherein the specific steps of step S1 are as follows: S1.1, selecting a key monitoring area according to earth surface subsidence sensitivity and surrounding environment risks of a shield construction section, arranging earth surface monitoring sections in the key monitoring area according to tunnel axis intervals in the longitudinal direction, and arranging a plurality of monitoring points in a layered manner by combining stratum change characteristics and shield diameters in the transverse direction, wherein the monitoring points comprise one or more of earth surface subsidence points, shallow segment surrounding subsidence points and subsidence monitoring points in deep subsidence pipes; s1.2, setting a monitoring sensor at each monitoring point, and using a data acquisition instrument and a data gateway in a matched manner to ensure that monitoring data can be automatically uploaded to a data management module of the shield tunneling dynamic control system; S1.3, setting acquisition frequencies of different stages for each monitoring sensor, wherein the acquisition frequencies of the surface subsidence data are acquired once every 10-30 minutes in an initial stage, the surface subsidence data are acquired once every 50-60 minutes in a stable propulsion stage, the surface subsidence data are acquired once every 3-6 minutes when tunneling passes through a sensitive area, and the acquisition time of all monitoring sensors is uniformly calibrated by adopting a time synchronization protocol before the surface subsidence data are acquired so as to ensure the consistency of data time sequences; s1.4, the collected earth surface subsidence data of all monitoring points are accessed into a data management module of the shield tunneling dynamic control system, and after the data are preprocessed, a standardized and structured subsidence monitoring database is obtained and used as an input basis for follow-up early warning judgment and parameter linkage control.
3. The method of dynamic control of shield tunneling according to claim 1, wherein step S2 further comprises: s2.4, firstly judging the early warning grade of the monitoring point entering the early warning state according to the magnitude of the settlement difference value of the monitoring point, wherein the judgment condition of the early warning grade is as follows: Slightly pre-warning: Moderate early warning: Severe early warning: ; Wherein, the And Is an adjustable threshold parameter; Projecting all monitoring points with early warning grades of moderate early warning and severe early warning into a preset grid in front of the shield, and setting the first The number of high risk points in each grid cell is When meeting the following requirements When the grid unit is used, the grid unit is judged to be a high-risk clustering area, and the continuous high-risk clustering area is marked to be a key control area, wherein Is a cluster threshold parameter.
4. The shield tunneling dynamic control method according to claim 3 is characterized by comprising the specific steps of taking an important control area identified in the step S2 as a response control target, determining an early warning level corresponding to the important control area according to early warning level distribution of monitoring points in the important control area, respectively formulating corresponding grouting adjustment strategies for the early warning level corresponding to each important control area, wherein grouting parameters in the grouting adjustment strategies comprise one or more of grouting quantity, slurry proportion, grouting pressure and grouting speed, when the early warning level corresponding to the important control area is a moderate early warning, the grouting parameters of a corresponding ring segment are improved to enhance a supporting effect, when the early warning level corresponding to the important control area is a severe early warning, reinforcing grouting measures are executed, including prolonging grouting duration time, improving grouting pressure and improving grouting viscosity to improve filling firmness, and the grouting viscosity adjustment strategies are executed by the shield tunneling dynamic control system according to real-time propelling working conditions and are coordinated with shield tunneling attitude control and propelling speed to realize synchronous adjustment.
5. The method for dynamically controlling shield tunneling according to claim 4, wherein the specific steps of step S4 are as follows: s4.1, extracting real-time propulsion working condition data of a corresponding ring segment on the basis of performing adjustment on the grouting parameters, including but not limited to propulsion speed, shield attitude, cutter head torque and main driving thrust, and constructing a coupling control model for propulsion and grouting control; S4.2, associating the early warning level corresponding to the key control area determined in the step S2 with the grouting adjustment strategy of the step S3, generating a propulsion control quantity correction instruction for limiting or guiding the propulsion speed and the posture adjustment range of the current ring segment so as to reduce the risk of failure of grouting support caused by too high propulsion speed or posture fluctuation, wherein when the early warning level corresponding to the key control area is heavy early warning or a continuous heavy early warning section exists, the shield tunneling dynamic control system executes low-speed stable tunneling control according to the correction instruction, including reducing the propulsion speed and converging the posture deviation range, and keeping the grouting pressure in a set section so as to reduce the disturbance of a shield front stratum during the formation of the support, and when the monitoring index continuously meets an abnormal criterion, the shield tunneling dynamic control system executes risk rollback, including suspending propulsion or switching to low-speed fine adjustment, and restoring normal tunneling after the monitoring index is restored to the safety criterion; And S4.3, recording control parameters and execution results of the coupling control model, and uploading the control parameters and the execution results to a data management module of the shield tunneling dynamic control system, wherein the data management module is used for being linked with grouting effect evaluation in the step S5 so as to realize full-flow data closed loop and strategy iterative correction.
6. The method for dynamically controlling shield tunneling according to claim 1, wherein the specific steps of step S5 are as follows: S5.1, after the current ring segment propelling and grouting operation is completed, the shield tunneling dynamic control system acquires propelling parameters of the ring segment through a propelling control interface, acquires grouting parameters of the ring segment through a grouting control interface, and invokes settlement monitoring data of a corresponding period from a settlement monitoring database; S5.2, the shield tunneling dynamic control system synchronously matches the propulsion parameters and grouting parameters recorded in the data set with settlement monitoring data of corresponding time periods, builds a grouting-propulsion-settlement three-dimensional data association model according to time axes, evaluates control effects based on evaluation indexes, analyzes possible reasons by combining monitoring curves, construction logs and geological records when the settlement or pressure control indexes deviate from target intervals, judges whether the deviation belongs to occasional or trend problems, generates a correction scheme of construction parameters of a subsequent ring segment when the systematic deviation is confirmed to exist, and issues the correction scheme to corresponding equipment or operation links for execution through a propulsion control interface and a grouting control interface, and simultaneously takes the corrected parameters as preferable strategy call basis under similar stratum conditions; S5.3, recording and archiving settlement monitoring data, treatment measures, control effect evaluation results and parameter correction suggestions at the stage to a data management module of the shield tunneling dynamic control system to generate a standardized evaluation report, and simultaneously feeding back optimization suggestions to a field operation and monitoring team to realize closed-loop operation of early warning identification, response adjustment, effect evaluation and parameter correction.
7. The method according to claim 6, wherein the evaluation index in step S5.2 includes a sedimentation recovery rate Rate of change of sedimentation rate And sedimentation peak inhibition rate , 、、 Is a dimensionless index, and the expressions are respectively as follows: Wherein, the Representing the maximum settlement in a preset observation time window before grouting; representing the corresponding settlement amount in a stabilization stage meeting a preset stabilization criterion after grouting; representing the average value of sedimentation rate in a preset observation time window before grouting; representing the average value of sedimentation rate in a preset observation time window after grouting; Representing a historical maximum sedimentation peak value obtained according to a preset similar working condition screening rule; and the preset observation time window and the preset stability criterion are configurable parameters.
8. The method for dynamically controlling shield tunneling according to claim 7, wherein the suitability determination criteria are as follows 、、 When the grouting strategy is judged to be matched with the early warning level, the construction control effect is good, when 、、 Any index of the two indexes is lower than the corresponding lower limit threshold value When the grouting strategy and the risk control measure are regulated, wherein, 、、 Is a configurable threshold parameter.
9. The method according to claim 7, wherein in step S6, the shield tunneling dynamic control system determines to enter an emergency treatment state according to the monitoring data and the evaluation index when any of the following combinations of conditions is satisfied, and generates an emergency response instruction to start the secondary grouting and plugging reinforcement operation: (1) Judging that any two of the three indexes of the sedimentation recovery rate, the sedimentation rate change rate and the sedimentation peak value inhibition rate are lower than the corresponding threshold value; (2) The sedimentation trend is worsened, the sedimentation rate is in an increasing trend within a continuous preset period, and the early warning grade of the monitoring point reaches or maintains severe early warning; (3) And the primary grouting effect is insufficient, namely, in a preset observation time window, the control effect index does not reach a threshold value or the early warning level does not drop to a non-early warning state.
10. The method for dynamically controlling shield tunneling according to claim 9, wherein after the secondary grouting triggering condition is satisfied, a standardized emergency treatment procedure is performed: The method comprises the steps of outputting an emergency response instruction and a suggested grouting parameter range by a shield tunneling dynamic control system, determining a secondary grouting scheme by a field technology person in combination with shield posture, geological data and settlement abnormal distribution, determining grouting hole positions and density, slurry types and controllable grouting parameters, recording the scheme to a data management module of the shield tunneling dynamic control system, then encrypting and arranging grouting holes at the periphery of an abnormal region, adjusting grouting speed and pressure based on settlement and pressure monitoring data of preset high-frequency sampling in the grouting process to reduce stratum disturbance risk, and recording and archiving emergency treatment parameters and settlement recovery records by a data management module of the shield tunneling dynamic control system after emergency operation is completed to serve as sample data of subsequent model iteration and strategy optimization.

Description

Dynamic control method for shield tunneling based on propulsion-sedimentation-grouting closed-loop linkage Technical Field The invention relates to the technical field of shield construction tunneling control, in particular to a dynamic shield tunneling control method based on propulsion-sedimentation-grouting closed-loop linkage. Background The shield tunnel construction is used as a mainstream technology for deep underground space development, is widely applied to projects such as urban subways, highway tunnels, municipal drainage, underground comprehensive pipe galleries and the like, and has the advantages of high forming speed, small construction disturbance, high safety and the like. Especially in engineering construction of geology complex or urban dense areas, the importance of shield tunneling technology is increasingly prominent. However, with the increase of the buried depth of the tunnel, the changeable geological structure and the enhanced environmental constraint, the stratum settlement control problem caused by the shield tunneling becomes one of the core challenges affecting the construction safety and the engineering quality. Stratum settlement is caused by superposition of various factors such as tunneling disturbance, synchronous grouting compactness, stratum structure, water content, construction posture fluctuation and the like, and has the characteristics of high nonlinearity and space non-uniformity. Once sedimentation control fails, serious engineering accidents such as tunnel structure deformation, lining staggering, surface building cracking and even collapse can be caused. In particular, under the special geological conditions of weak interlayers, fracture zones, water-rich sand layers or corrosion cavities, the stratum stability is extremely sensitive, and higher requirements are provided for the response precision of grouting support and the synergy of propulsion control in the shield construction process. In current engineering practice, a synchronous grouting mode is often adopted for filling and supporting a gap at the rear of a tunnel in shield tunneling, but grouting parameters (pressure, injection quantity, duration time and the like) are mostly preset by experience, and a closed-loop feedback mechanism between the grouting parameters and real-time ground surface subsidence data is lacked. Once abnormal settlement occurs, the control response has hysteresis, so that insufficient support strength or excessive grouting is easily caused, the construction risk is increased, the slurry resources are wasted, and even the propulsion strategy is disjointed with grouting measures. Therefore, an intelligent control system integrating real-time settlement monitoring, automatic grouting parameter adjustment and shield pushing gesture coupling regulation and control is urgently needed to be constructed, a grouting scheme and a pushing strategy can be dynamically corrected according to a risk level, emergency disposal and secondary grouting capacity are further achieved, settlement risk early warning, accurate support regulation and control and data closed-loop feedback in the whole shield construction process are achieved, and accordingly safety, adaptability and construction efficiency of tunneling are comprehensively improved. Disclosure of Invention The invention aims to provide a shield tunneling dynamic control method based on propulsion-sedimentation-grouting closed-loop linkage, which aims to solve the problems of disjointing and lag adjustment of grouting parameters and sedimentation feedback in the existing construction in the background technology. In order to achieve the above purpose, the invention provides a shield tunneling dynamic control method based on the closed loop linkage of propulsion-sedimentation-grouting, which is executed by a shield tunneling dynamic control system and comprises the following steps: s1, arranging settlement monitoring points and acquisition devices and collecting data, namely arranging the settlement monitoring points and the acquisition devices in key monitoring areas according to the earth surface settlement condition of a shield construction section, acquiring earth surface settlement data of each monitoring point in real time, and forming a settlement monitoring database; S2, analyzing and multi-stage early warning identification, namely, taking earth surface subsidence data of each monitoring point from the subsidence monitoring database in real time, constructing a comprehensive risk index model integrating subsidence quantity, subsidence rate and subsidence acceleration, judging the state of the monitoring point according to the risk index of each monitoring point, carrying out trend prediction on the earth surface subsidence data of the monitoring point which is judged to enter the early warning state, calculating a difference value between a predicted value and the real-time subsidence monitoring data based on a predicted result, and