CN-121859671-B - Tunnel lining health state analysis method and system based on field monitoring data

CN121859671BCN 121859671 BCN121859671 BCN 121859671BCN-121859671-B

Abstract

The invention discloses a tunnel lining health state analysis method and system based on field monitoring data, wherein the method comprises the steps of obtaining net displacement and net acoustic emission data through temperature deformation correction and thermal noise elimination; the method comprises the steps of constructing a damage evolution constitutive model taking a damage variable as an internal variable, carrying out finite element inversion by taking net displacement and net acoustic emission data as boundary conditions and energy constraint, solving damage field distribution, identifying a continuous area of which the damage variable is super-threshold as a damage active area, extracting geometric center coordinates and areas of the continuous area, fitting along a time axis to obtain a migration track and an area expansion curve of a damage core, extrapolating the track and the curve to predict future damage positions and ranges, dividing three stages of stable expansion, accelerated expansion and destabilization damage precursors according to the gradient change rate of the expansion curve, and correspondingly generating graded early warning. The method realizes the accurate quantification and the space-time evolution prediction of the internal damage of the tunnel lining, and remarkably improves the intelligent level of the health state assessment.

Inventors

SUN YANG
YU JUNPING
DAI HONGTAO
ZHANG YOUHUA

Assignees

江西省交投养护科技集团有限公司
江西省交通投资集团有限责任公司

Dates

Publication Date: 20260508
Application Date: 20260316

Claims (9)

1. The tunnel lining health state analysis method based on the on-site monitoring data is characterized by comprising the following steps of: Acquiring a multipoint displacement meter monitoring data sequence, a multichannel acoustic emission monitoring data sequence and a temperature data sequence of a lining internal temperature measuring point of a tunnel lining within a preset time period; Calculating the temperature variation of each moment according to the temperature data sequence, and carrying out temperature deformation correction on the multipoint displacement meter monitoring data sequence based on the preset thermal expansion coefficient of the lining material to obtain a net displacement data sequence after eliminating the temperature influence; according to the temperature data sequence, identifying a time period when the temperature change rate exceeds a preset threshold value, and eliminating an acoustic emission signal interfered by the thermal noise in a corresponding time period to obtain a net acoustic emission data sequence; constructing a lining material damage evolution constitutive model taking a damage variable as an internal variable, wherein the damage evolution constitutive model comprises a nonlinear relation between a damage driving force and a damage variable increment, and the constructing of the lining material damage evolution constitutive model taking the damage variable as the internal variable comprises the following steps: defining a damage variable D to describe the degradation degree of the lining material under the action of load, wherein the value range of the damage variable D is 0-1, D=0 indicates that the material is intact, and D=1 indicates that the material is completely invalid; Establishing a nonlinear evolution equation between a damage driving force and a damage variable increment, wherein the damage driving force is calculated based on a current stress state and an accumulated damage degree, the nonlinear evolution equation is in the form of dD/dt=f (sigma, D, T), sigma is a current stress, D is a current damage variable value, T is a current temperature, and f is a preset nonlinear function; establishing a correlation function between the damage variable D and the acoustic emission accumulated energy E, wherein the correlation function has the following form: Or (b) , wherein, And A monotonically increasing function obtained by fitting material test data; Coupling the nonlinear evolution equation and the correlation function to form a control equation set of the damage evolution constitutive model; taking the net displacement data sequence as a displacement boundary condition, taking the net acoustic emission data sequence as an energy dissipation constraint, inputting the energy dissipation constraint into the damage evolution constitutive model for finite element inversion calculation, solving to obtain damage variable values of all units in the lining at the current moment, and forming damage field distribution; According to the distribution of the damage field, identifying a continuous space region with a damage variable value exceeding a preset damage threshold value as a damage active region, and extracting geometric center coordinates and region areas of the damage active region at all times; Fitting the geometric center coordinates of the damaged active region and the area of the region along a time axis to obtain a migration track of the center of the damaged active region in space and an expansion curve of the area along with time; and predicting the health state evaluation result of the damaged active region in a future preset time window according to the migration track and the expansion curve.
2. The method for analyzing the health status of tunnel lining based on-site monitoring data according to claim 1, wherein the calculating the temperature variation at each moment according to the temperature data sequence, and performing temperature deformation correction on the multipoint displacement meter monitoring data sequence based on a preset thermal expansion coefficient of a lining material, to obtain a net displacement data sequence after eliminating temperature influence comprises: obtaining measured displacement values at all moments in the multipoint displacement meter monitoring data sequence and measured temperature values of lining internal temperature measuring points at corresponding moments; calculating to obtain the temperature variation at each moment based on the difference between the measured temperature value and a preset reference temperature value; according to the product of the preset thermal expansion coefficient of the lining material and the temperature variation, calculating to obtain the thermal deformation component caused by the temperature variation at each moment; subtracting the thermal deformation component at the corresponding moment from the actually measured displacement value at each moment to obtain a net displacement value at each moment; and sequencing the net displacement values at each moment in time sequence to obtain the net displacement data sequence.
3. The method for analyzing the health state of the tunnel lining based on the on-site monitoring data according to claim 1, wherein the steps of identifying the time period when the temperature change rate exceeds the preset threshold value according to the temperature data sequence, eliminating the acoustic emission signals interfered by the thermal noise in the corresponding time period, and obtaining the net acoustic emission data sequence comprise the following steps: obtaining measured temperature values of adjacent moments in the temperature data sequence, and calculating the temperature change rate of each moment; comparing the temperature change rate at each moment with a preset temperature change rate threshold value, and identifying a continuous period of which the temperature change rate exceeds the preset threshold value as a thermal noise interference period; searching an acoustic emission signal segment corresponding to the thermal noise interference period in the multi-channel acoustic emission monitoring data sequence; Removing the searched acoustic emission signal fragments from the multi-channel acoustic emission monitoring data sequence, and reserving acoustic emission signals of the residual time period; and performing time sequence splicing and resampling processing on the reserved acoustic emission signals to obtain the net acoustic emission data sequence.
4. The method for analyzing the health state of the tunnel lining based on the on-site monitoring data according to claim 1, wherein the step of inputting the net displacement data sequence as a displacement boundary condition, the net acoustic emission data sequence as an energy dissipation constraint into the damage evolution constitutive model for finite element inversion calculation, and the step of solving to obtain the damage variable value of each unit inside the lining at the current moment comprises the following steps: Establishing a finite element discrete model of a tunnel lining structure, dividing a lining into a plurality of finite elements, and giving an initial damage variable value to each element; taking displacement values at all moments in the net displacement data sequence as displacement boundary conditions, and applying the displacement values to corresponding nodes of a finite element model; Taking the acoustic emission accumulated energy values at all moments in the net acoustic emission data sequence as energy dissipation constraint, and establishing an objective function, wherein the objective function is the sum of squares of residual errors between theoretical acoustic emission energy and actual net acoustic emission energy calculated by a finite element model; Iteratively adjusting the damage variable value of each unit by adopting an optimization algorithm to minimize the value of the objective function; and stopping iteration when the objective function value is converged to a preset precision range, and outputting the damage variable values of each unit at the current moment to form the damage field distribution.
5. The method for analyzing the health state of the tunnel lining based on the on-site monitoring data according to claim 1, wherein the fitting the geometric center coordinates of the damaged active region and the area of the region along the time axis to obtain the migration track of the center of the damaged active region in space and the expansion curve of the area with time comprises: Obtaining geometric center coordinates of the damage active region at a plurality of continuous moments to form a center point coordinate sequence, wherein the geometric center coordinates are weighted average values of all unit coordinates in the damage active region, and the weights are damage variable values of all units; performing polynomial fitting or spline interpolation on the center point coordinate sequence to obtain a migration track of the center of the damage active region continuously changing along with time in a space coordinate system; acquiring the areas of the damaged active regions at a plurality of continuous moments to form an area sequence, wherein the areas of the damaged active regions are the sum of the areas of all units in the damaged active regions; And performing exponential function fitting on the area sequence to obtain an expansion curve of the area of the damaged active region continuously changing along with time.
6. The method for analyzing the health status of the tunnel lining based on the on-site monitoring data according to claim 1, wherein predicting the health status evaluation result of the damaged active zone within the future preset time window according to the migration trajectory and the extension curve comprises: extrapolating the migration track to a future time direction, and predicting a space position to be reached by the center of the damage active region at each moment in a future preset time window; extrapolating the expansion curve to the future time direction, and predicting the area of the region to be reached by the damaged active region at each moment in a preset time window in the future; Judging the stage of the damage evolution according to the slope change rate of the expansion curve, wherein the stage is judged to be in a stable expansion stage when the slope change rate is smaller than a first threshold value, and in an acceleration expansion stage when the slope change rate is larger than or equal to the first threshold value and smaller than a second threshold value; And generating a health state evaluation result comprising the coordinate of the important attention area, the predicted influence range and the early warning level according to the predicted future space position, the area and the current damage evolution stage.
7. Tunnel lining health state analysis system based on-site monitoring data, which is characterized by comprising: the acquisition module is configured to acquire a multipoint displacement meter monitoring data sequence, a multichannel acoustic emission monitoring data sequence and a temperature data sequence of a lining internal temperature measuring point of the tunnel lining within a preset time period; The correction module is configured to calculate the temperature variation at each moment according to the temperature data sequence, and based on the preset thermal expansion coefficient of the lining material, perform temperature deformation correction on the multipoint displacement meter monitoring data sequence to obtain a net displacement data sequence after eliminating the temperature influence; The rejecting module is configured to identify a time period when the temperature change rate exceeds a preset threshold according to the temperature data sequence, reject the acoustic emission signals interfered by the thermal noise in the corresponding time period and obtain a net acoustic emission data sequence; The construction module is configured to construct a lining material damage evolution constitutive model taking a damage variable as an internal variable, wherein the damage evolution constitutive model comprises a nonlinear relation between a damage driving force and a damage variable increment, and the construction of the lining material damage evolution constitutive model taking the damage variable as the internal variable comprises the following steps: defining a damage variable D to describe the degradation degree of the lining material under the action of load, wherein the value range of the damage variable D is 0-1, D=0 indicates that the material is intact, and D=1 indicates that the material is completely invalid; Establishing a nonlinear evolution equation between a damage driving force and a damage variable increment, wherein the damage driving force is calculated based on a current stress state and an accumulated damage degree, the nonlinear evolution equation is in the form of dD/dt=f (sigma, D, T), sigma is a current stress, D is a current damage variable value, T is a current temperature, and f is a preset nonlinear function; establishing a correlation function between the damage variable D and the acoustic emission accumulated energy E, wherein the correlation function has the following form: Or (b) , wherein, And A monotonically increasing function obtained by fitting material test data; Coupling the nonlinear evolution equation and the correlation function to form a control equation set of the damage evolution constitutive model; The output module is configured to take the net displacement data sequence as a displacement boundary condition, take the net acoustic emission data sequence as an energy dissipation constraint, input the energy dissipation constraint into the damage evolution constitutive model for finite element inversion calculation, and solve the damage variable values of all units in the lining at the current moment to form damage field distribution; The extraction module is configured to identify a continuous space region with a damage variable value exceeding a preset damage threshold value as a damage active region according to the damage field distribution, and extract geometric center coordinates and region areas of the damage active region at all times; the fitting module is configured to fit the geometric center coordinates of the damaged active region and the area of the region along a time axis to obtain a migration track of the center of the damaged active region in space and an expansion curve of the area along with time; and the prediction module is configured to predict the health state evaluation result of the damaged active region in a future preset time window according to the migration track and the expansion curve.
8. An electronic device comprising at least one processor and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any one of claims 1 to 6.

Description

Tunnel lining health state analysis method and system based on field monitoring data Technical Field The invention belongs to the technical field of health monitoring of tunnel engineering structures, and particularly relates to a tunnel lining health state analysis method and system based on field monitoring data. Background The tunnel lining is used as a main bearing and protecting component of the tunnel structure, and the health state of the tunnel lining is directly related to the safety and service life of the tunnel operation. In the long-term service process, the lining structure can be influenced by multiple factors such as surrounding rock pressure, temperature change, material aging and the like, and damage accumulation and even damage are generated. Therefore, the method has important engineering significance in real-time health monitoring and state evaluation of tunnel lining. At present, tunnel lining health monitoring mainly relies on sensors such as displacement meters, strain gauges, crack meters and the like to acquire structural deformation data, and alarms are carried out through setting threshold values. However, the existing method has the following defects that firstly, monitoring data are easy to be interfered by environmental temperature change, real damage deformation is often covered up by thermal expansion and cold contraction deformation caused by temperature, misjudgment or missed judgment is caused, secondly, the initiation and expansion processes of microcracks in the lining are difficult to detect only by means of deformation data, early warning cannot be realized, and thirdly, the system analysis on the time-space law of damage evolution is lacking, and the development trend and the potential damage mode of the damage are difficult to predict. Therefore, a health state analysis method capable of fusing multisource monitoring data, eliminating environmental interference, revealing internal damage evolution rules and realizing state prediction is needed. Disclosure of Invention The invention provides a tunnel lining health state analysis method and system based on field monitoring data, and aims to solve the technical problems that monitoring data is interfered by temperature, internal damage evolution cannot be detected, and trend prediction capability is lacking in the prior art. In a first aspect, the present invention provides a method for analyzing the health status of tunnel lining based on field monitoring data, comprising: Acquiring a multipoint displacement meter monitoring data sequence, a multichannel acoustic emission monitoring data sequence and a temperature data sequence of a lining internal temperature measuring point of a tunnel lining within a preset time period; Calculating the temperature variation of each moment according to the temperature data sequence, and carrying out temperature deformation correction on the multipoint displacement meter monitoring data sequence based on the preset thermal expansion coefficient of the lining material to obtain a net displacement data sequence after eliminating the temperature influence; according to the temperature data sequence, identifying a time period when the temperature change rate exceeds a preset threshold value, and eliminating an acoustic emission signal interfered by the thermal noise in a corresponding time period to obtain a net acoustic emission data sequence; Constructing a lining material damage evolution constitutive model taking a damage variable as an internal variable, wherein the damage evolution constitutive model comprises a nonlinear relation between a damage driving force and a damage variable increment; taking the net displacement data sequence as a displacement boundary condition, taking the net acoustic emission data sequence as an energy dissipation constraint, inputting the energy dissipation constraint into the damage evolution constitutive model for finite element inversion calculation, solving to obtain damage variable values of all units in the lining at the current moment, and forming damage field distribution; According to the distribution of the damage field, identifying a continuous space region with a damage variable value exceeding a preset damage threshold value as a damage active region, and extracting geometric center coordinates and region areas of the damage active region at all times; Fitting the geometric center coordinates of the damaged active region and the area of the region along a time axis to obtain a migration track of the center of the damaged active region in space and an expansion curve of the area along with time; and predicting the health state evaluation result of the damaged active region in a future preset time window according to the migration track and the expansion curve. In a second aspect, the present invention provides a tunnel lining health status analysis system based on-site monitoring data, comprising: the acquisition module is configured to acq