CN116307727A - Underwater shield tunnel excavation evaluation method and device - Google Patents
Underwater shield tunnel excavation evaluation method and device Download PDFInfo
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- 238000009412 basement excavation Methods 0.000 title claims abstract description 86
- 238000011156 evaluation Methods 0.000 title claims abstract description 81
- 238000000034 method Methods 0.000 claims abstract description 70
- 238000010276 construction Methods 0.000 claims abstract description 36
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 13
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- 230000002159 abnormal effect Effects 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 6
- 238000003745 diagnosis Methods 0.000 claims description 5
- 238000013016 damping Methods 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 238000010606 normalization Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 239000002689 soil Substances 0.000 description 9
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- 238000009933 burial Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
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- 238000007599 discharging Methods 0.000 description 1
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- 238000003379 elimination reaction Methods 0.000 description 1
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- 238000012502 risk assessment Methods 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D9/00—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
- E21D9/06—Making by using a driving shield, i.e. advanced by pushing means bearing against the already placed lining
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Abstract
The invention discloses an underwater shield tunnel excavation evaluation method and device, the method comprises detecting the vibration data and the bearing water pressure of an underwater shield tunnel structure, performing construction excavation on an underwater shield tunnel according to the vibration data and the bearing water pressure of the underwater shield tunnel structure by shield equipment, acquiring construction excavation face parameters of the underwater shield tunnel, and performing stability evaluation according to the construction excavation face parameters of the underwater shield tunnel, thereby realizing the evaluation of the underwater shield tunnel excavation; by acquiring the construction excavation face parameters of the underwater shield tunnel and carrying out stability evaluation according to the construction excavation face parameters of the underwater shield tunnel, the effect of effectively detecting the excavation condition of the underwater shield tunnel can be effectively achieved, and therefore the risk of the underwater shield tunnel excavation is reduced.
Description
Technical Field
The invention relates to the technical field of underwater shield tunnel excavation, in particular to an underwater shield tunnel excavation evaluation method and device.
Background
The shield method is a fully mechanized construction method in the construction of the undermining method, which is a mechanized construction method that shield machinery is propelled in the ground, surrounding rocks around the shield shell and the duct piece support are used for preventing collapse in a tunnel, soil body excavation is carried out in front of an excavation face by a cutting device, the soil body is carried out of the tunnel by an earth-discharging machine, the soil body is pressurized and jacked in at the rear part by a jack, and precast concrete duct pieces are assembled to form a tunnel structure; the underwater shield tunnel excavation is a method for constructing a tunnel by using a shield machine, controlling an excavation surface and surrounding soil bodies not to collapse and unstably, tunneling and deslagging, splicing segments in the machine to form a lining, implementing wall and grouting, so that surrounding soil bodies are not disturbed, however, the prior art cannot effectively detect the underwater shield tunnel excavation condition, and the risk of underwater shield tunnel excavation cannot be known in time.
Disclosure of Invention
In view of the above, the invention provides an underwater shield tunnel excavation evaluation method and device, which can solve the defect that the excavation condition of the underwater shield tunnel cannot be effectively detected in the prior art.
The technical scheme of the invention is realized as follows:
the method for evaluating the excavation of the underwater shield tunnel specifically comprises the following steps:
detecting vibration data of an underwater shield tunnel structure and the magnitude of the born water pressure;
according to vibration data of the underwater shield tunnel structure and the magnitude of the born water pressure, the shield equipment carries out construction excavation on the underwater shield tunnel;
acquiring construction excavation face parameters of an underwater shield tunnel;
and carrying out stability evaluation according to the construction excavation face parameters of the underwater shield tunnel, thereby realizing the evaluation of the underwater shield tunnel excavation.
As a further alternative of the method for evaluating excavation of an underwater shield tunnel, the evaluating stability according to parameters of a construction excavation face of the underwater shield tunnel specifically includes:
determining an underwater shield tunnel construction target, determining a target excavation face stability evaluation index based on a shield construction target excavation face instability mechanism, dividing the target excavation face stability into a plurality of grades, establishing a space of each grade, and determining a quantized interval of each evaluation index in each grade;
calculating the combination weight of each stability evaluation index by adopting a combination weighting method, and taking the combination weight as a judgment basis of the influence of the evaluation index on the evaluation result;
an ideal point evaluation function is constructed by adopting an ideal point method to represent the membership degree of an object to be evaluated to each grade, the grade membership degree of the section to be evaluated in each grade of an evaluation system is calculated, and the stability grade of the target excavation surface in the construction process of the evaluation section is determined.
As a further alternative of the method for evaluating excavation of the underwater shield tunnel, the calculating the combination weight of each stability evaluation index by adopting a combination weighting method specifically includes:
calculating subjective weight of the evaluation index by adopting an analytic hierarchy process;
calculating the objective weight of the evaluation index by adopting an entropy weight method;
and calculating the combination weight of the evaluation index according to the weight difference degree of the subjective weight and the objective weight of the evaluation index.
As a further alternative of the method for evaluating the excavation of the underwater shield tunnel, the method for calculating subjective weights of evaluation indexes by using a analytic hierarchy process specifically includes:
sorting the importance of each index according to different scales, and constructing a judgment matrix;
the maximum eigenvalue method is adopted to judge the matrix to obtain the maximum eigenvalue and the corresponding eigenvector, and the importance ranking of the evaluation index is obtained;
the method for calculating the objective weight of the evaluation index by adopting the entropy weight method specifically comprises the following steps:
carrying out data normalization;
defining entropy values of the indexes and defining entropy weights of the indexes;
and using a distance function to represent the difference degree of the weights of the indexes, and calculating the distribution coefficient of the weights to form objective weights.
As a further alternative of the method for evaluating the excavation of the underwater shield tunnel, the method further includes fault detection of shield equipment, and specifically includes:
constructing a fault database, acquiring information of a shield equipment fault sample, respectively obtaining a feature matrix and a mode distance threshold value of the shield equipment fault sample with the dimensions eliminated after calculation processing, associating the feature matrix with the mode distance threshold value, and storing to generate a fault mode knowledge base;
abnormal sample information of shield equipment is obtained in real time, abnormal characteristic information is obtained after calculation processing, then pattern distances are calculated on sample characteristics in a fault pattern knowledge base in sequence, the pattern distances are converted into pattern similarity, and a final fault diagnosis result is output.
As a further alternative of the method for evaluating the excavation of the underwater shield tunnel, the method for obtaining the information of the shield equipment fault sample, after calculation processing, respectively obtaining a feature matrix and a mode distance threshold of the shield equipment fault sample with elimination dimension, associating the feature matrix and the mode distance threshold, and storing to generate a fault mode knowledge base, specifically includes:
acquiring fault sample information of shield equipment;
sequentially performing piecewise linear fitting on each shield equipment fault sample;
extracting characteristics of each segment of data of the shield equipment fault sample to obtain a characteristic matrix of the shield equipment fault sample;
performing fault feature transformation, eliminating feature dimensions, and obtaining a feature matrix of a shield equipment fault sample with the dimensions eliminated;
calculating a mode distance threshold;
and associating the fault characteristic matrix with a mode distance threshold value, and storing to generate a fault mode knowledge base.
As a further alternative of the method for evaluating excavation of the underwater shield tunnel, the method for obtaining fault sample information of the shield equipment specifically includes:
selecting a researched shield equipment with the number P of fault types more than or equal to 2 and the occurrence times T of each fault more than or equal to 2 meeting the requirement;
selecting a sufficient number of observation points N, wherein N is more than or equal to 10, performing fault record searching on historical operation state data of shield equipment for a long time, and picking out fault related point information, start-stop time of a fault process and useful information of fault maintenance measure records from the fault records by using a set screening rule;
and reading the shield equipment fault sample information from the power plant real-time database PI according to the useful information.
As a further alternative of the method for evaluating the excavation of the underwater shield tunnel, the step of sequentially performing piecewise linear fitting on each shield equipment fault sample specifically includes:
mean value filtering operation: filtering and eliminating noise pollution doped in sample data;
segment initializing the shield equipment fault sample after filtering treatment;
combining the initialized data segments pairwise to calculate fitting errors;
determining a segmentation cutting point of a shield equipment fault sample, and carrying out adaptive state segmentation on the shield equipment fault sample.
As a further alternative scheme of the underwater shield tunnel excavation evaluation method, the method further comprises the step of performing damping operation on shield equipment according to vibration data of an underwater shield tunnel structure and the magnitude of the born water pressure.
An underwater shield tunnel excavation evaluation device which adopts any one of the underwater shield tunnel excavation evaluation methods.
The beneficial effects of the invention are as follows: by acquiring the construction excavation face parameters of the underwater shield tunnel and carrying out stability evaluation according to the construction excavation face parameters of the underwater shield tunnel, the effect of effectively detecting the excavation condition of the underwater shield tunnel can be effectively achieved, and therefore the risk of the underwater shield tunnel excavation is reduced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an underwater shield tunnel excavation evaluation method.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an underwater shield tunnel excavation evaluation method specifically includes:
detecting vibration data of an underwater shield tunnel structure and the magnitude of the born water pressure;
according to vibration data of the underwater shield tunnel structure and the magnitude of the born water pressure, the shield equipment carries out construction excavation on the underwater shield tunnel;
acquiring construction excavation face parameters of an underwater shield tunnel;
and carrying out stability evaluation according to the construction excavation face parameters of the underwater shield tunnel, thereby realizing the evaluation of the underwater shield tunnel excavation.
In the embodiment, by acquiring the construction excavation face parameters of the underwater shield tunnel and performing stability evaluation according to the construction excavation face parameters of the underwater shield tunnel, the effect of effectively detecting the excavation condition of the underwater shield tunnel can be effectively achieved, and therefore the risk of the underwater shield tunnel excavation is reduced.
The vibration data of the underwater shield tunnel structure is detected by the vibration sensor, and the water pressure born by the underwater shield tunnel is detected by the water pressure sensor.
Preferably, the stability evaluation is performed according to parameters of a construction excavation surface of the underwater shield tunnel, and specifically includes:
determining an underwater shield tunnel construction target, determining a target excavation face stability evaluation index based on a shield construction target excavation face instability mechanism, dividing the target excavation face stability into a plurality of grades, establishing a space of each grade, and determining a quantized interval of each evaluation index in each grade;
calculating the combination weight of each stability evaluation index by adopting a combination weighting method, and taking the combination weight as a judgment basis of the influence of the evaluation index on the evaluation result;
an ideal point evaluation function is constructed by adopting an ideal point method to represent the membership degree of an object to be evaluated to each grade, the grade membership degree of the section to be evaluated in each grade of an evaluation system is calculated, and the stability grade of the target excavation surface in the construction process of the evaluation section is determined.
In the embodiment, the result is directly or indirectly affected by the weight setting of each layer in the analytic hierarchy process, and the influence degree of each factor in each layer on the result is quantized, so that the method is very clear and definite, and the system evaluation index weights of multiple targets, multiple criteria, multiple periods and the like can be reasonably determined; the grade of the evaluation index value is determined by using an ideal point method, so that each target value can be as close as possible to the ideal value of the target value, the multi-target planning problem can be solved, and the stability of the target excavation surface can be accurately evaluated by calculating the stability grade membership of different construction sections; the excavation face stability evaluation indexes include a tunnel burial depth, a rock-soil physical state, a rock-soil strength index, a rock-soil permeability coefficient, a rock-soil sticky condition and a shield tunneling speed, and are not particularly limited herein.
Preferably, the calculating the combination weight of each stability evaluation index by using a combination weighting method specifically includes:
calculating subjective weight of the evaluation index by adopting an analytic hierarchy process;
calculating the objective weight of the evaluation index by adopting an entropy weight method;
and calculating the combination weight of the evaluation index according to the weight difference degree of the subjective weight and the objective weight of the evaluation index.
Preferably, the method for calculating subjective weight of the evaluation index by using analytic hierarchy process specifically includes:
sorting the importance of each index according to different scales, and constructing a judgment matrix;
the maximum eigenvalue method is adopted to judge the matrix to obtain the maximum eigenvalue and the corresponding eigenvector, and the importance ranking of the evaluation index is obtained;
the method for calculating the objective weight of the evaluation index by adopting the entropy weight method specifically comprises the following steps:
carrying out data normalization;
defining entropy values of the indexes and defining entropy weights of the indexes;
and using a distance function to represent the difference degree of the weights of the indexes, and calculating the distribution coefficient of the weights to form objective weights.
In the embodiment, risk assessment indexes of the excavation face of the shield construction tunnel target are divided into two types, namely a positive index and a reverse index, wherein the positive index increases with the increase of the index value, and the greater the collapse risk level is, the reverse index is opposite; and (3) assuming that the risk evaluation indexes of the excavation surface of the shield construction tunnel target have a monotonic change trend, determining the positive ideal point and the negative ideal point of each risk evaluation index, or obtaining an ideal point evaluation function according to the distance between the risk index value and the corresponding positive ideal point and/or negative ideal point.
Preferably, the method further comprises fault detection for shield equipment, and specifically comprises the following steps:
constructing a fault database, acquiring information of a shield equipment fault sample, respectively obtaining a feature matrix and a mode distance threshold value of the shield equipment fault sample with the dimensions eliminated after calculation processing, associating the feature matrix with the mode distance threshold value, and storing to generate a fault mode knowledge base;
abnormal sample information of shield equipment is obtained in real time, abnormal characteristic information is obtained after calculation processing, then pattern distances are calculated on sample characteristics in a fault pattern knowledge base in sequence, the pattern distances are converted into pattern similarity, and a final fault diagnosis result is output.
Preferably, the obtaining information of the shield equipment fault sample, after calculation processing, respectively obtaining a feature matrix and a mode distance threshold of the shield equipment fault sample with the dimensions eliminated, associating the feature matrix with the mode distance threshold, and storing to generate a fault mode knowledge base, which specifically includes:
acquiring fault sample information of shield equipment;
sequentially performing piecewise linear fitting on each shield equipment fault sample;
extracting characteristics of each segment of data of the shield equipment fault sample to obtain a characteristic matrix of the shield equipment fault sample;
performing fault feature transformation, eliminating feature dimensions, and obtaining a feature matrix of a shield equipment fault sample with the dimensions eliminated;
calculating a mode distance threshold;
and associating the fault characteristic matrix with a mode distance threshold value, and storing to generate a fault mode knowledge base.
In the embodiment, the sample data is converted from the time domain space to the mathematical morphology feature space, so that the data information compression target is realized, the influence of redundant data noise is eliminated, and the efficiency of fault diagnosis of the shield equipment is greatly improved.
Preferably, the obtaining the information of the shield equipment fault sample specifically includes:
selecting a researched shield equipment with the number P of fault types more than or equal to 2 and the occurrence times T of each fault more than or equal to 2 meeting the requirement;
selecting a sufficient number of observation points N, wherein N is more than or equal to 10, performing fault record searching on historical operation state data of shield equipment for a long time, and picking out fault related point information, start-stop time of a fault process and useful information of fault maintenance measure records from the fault records by using a set screening rule;
and reading the shield equipment fault sample information from the power plant real-time database PI according to the useful information.
In this embodiment, the number of measurement points is n, the number of time points is m, and all measurement point data at the moment j is regarded as an n-dimensional column vector, which is expressed as:
u(t j )＝[u j1 ，u j2 ，u j3 ，...，u jn ]
the sample data is stored in a matrix form of m×n, and the specific form is as follows:
the row represents m fault times, the column represents n shield equipment observation points, the values of the row m and the n between each shield equipment fault sample are different, meanwhile, a fault type identification ID is given to each shield equipment fault sample, the fault type identification ID determining method is that if all samples contain X faults, the numerical range of the fault type identification ID is as follows: 1-X.
Preferably, the step of sequentially performing piecewise linear fitting on each shield equipment fault sample specifically includes:
mean value filtering operation: filtering and eliminating noise pollution doped in sample data;
segment initializing the shield equipment fault sample after filtering treatment;
combining the initialized data segments pairwise to calculate fitting errors;
determining a segmentation cutting point of a shield equipment fault sample, and carrying out adaptive state segmentation on the shield equipment fault sample.
Preferably, the method further comprises the step of performing damping operation on the shield equipment according to vibration data of the underwater shield tunnel structure and the magnitude of the born water pressure.
In the embodiment, the service life and efficiency of the shield equipment can be improved by performing damping operation on the shield equipment; the method further includes a display operation, and vibration data, hydraulic pressure data, fault diagnosis information, and stability evaluation information may be displayed through a display, which is not particularly limited herein.
An underwater shield tunnel excavation evaluation device, wherein the system adopts any one of the underwater shield tunnel excavation evaluation methods.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. The method for evaluating the excavation of the underwater shield tunnel is characterized by comprising the following steps of:
detecting vibration data of an underwater shield tunnel structure and the magnitude of the born water pressure;
according to vibration data of the underwater shield tunnel structure and the magnitude of the born water pressure, the shield equipment carries out construction excavation on the underwater shield tunnel;
acquiring construction excavation face parameters of an underwater shield tunnel;
and carrying out stability evaluation according to the construction excavation face parameters of the underwater shield tunnel, thereby realizing the evaluation of the underwater shield tunnel excavation.
2. The method for evaluating the excavation of the underwater shield tunnel according to claim 1, wherein the stability evaluation is performed according to the parameters of the construction excavation face of the underwater shield tunnel, specifically comprising:
determining an underwater shield tunnel construction target, determining a target excavation face stability evaluation index based on a shield construction target excavation face instability mechanism, dividing the target excavation face stability into a plurality of grades, establishing a space of each grade, and determining a quantized interval of each evaluation index in each grade;
calculating the combination weight of each stability evaluation index by adopting a combination weighting method, and taking the combination weight as a judgment basis of the influence of the evaluation index on the evaluation result;
an ideal point evaluation function is constructed by adopting an ideal point method to represent the membership degree of an object to be evaluated to each grade, the grade membership degree of the section to be evaluated in each grade of an evaluation system is calculated, and the stability grade of the target excavation surface in the construction process of the evaluation section is determined.
3. The method for evaluating the excavation of the underwater shield tunnel according to claim 2, wherein the method for calculating the combination weight of each stability evaluation index by adopting the combination weighting method comprises the following steps:
calculating subjective weight of the evaluation index by adopting an analytic hierarchy process;
calculating the objective weight of the evaluation index by adopting an entropy weight method;
and calculating the combination weight of the evaluation index according to the weight difference degree of the subjective weight and the objective weight of the evaluation index.
4. The method for evaluating the excavation of the underwater shield tunnel according to claim 3, wherein the method for evaluating the subjective weight of the index by using the analytic hierarchy process comprises the following steps:
sorting the importance of each index according to different scales, and constructing a judgment matrix;
the maximum eigenvalue method is adopted to judge the matrix to obtain the maximum eigenvalue and the corresponding eigenvector, and the importance ranking of the evaluation index is obtained;
the method for calculating the objective weight of the evaluation index by adopting the entropy weight method specifically comprises the following steps:
carrying out data normalization;
defining entropy values of the indexes and defining entropy weights of the indexes;
and using a distance function to represent the difference degree of the weights of the indexes, and calculating the distribution coefficient of the weights to form objective weights.
5. The method for evaluating the excavation of the underwater shield tunnel according to claim 4, further comprising the step of performing fault detection on shield equipment, and specifically comprising the steps of:
constructing a fault database, acquiring information of a shield equipment fault sample, respectively obtaining a feature matrix and a mode distance threshold value of the shield equipment fault sample with the dimensions eliminated after calculation processing, associating the feature matrix with the mode distance threshold value, and storing to generate a fault mode knowledge base;
abnormal sample information of shield equipment is obtained in real time, abnormal characteristic information is obtained after calculation processing, then pattern distances are calculated on sample characteristics in a fault pattern knowledge base in sequence, the pattern distances are converted into pattern similarity, and a final fault diagnosis result is output.
6. The method for evaluating the excavation of the underwater shield tunnel according to claim 5, wherein the obtaining the information of the shield equipment fault sample, the calculating process, and the associating the feature matrix and the mode distance threshold to generate the fault mode knowledge base, respectively, comprises the steps of:
acquiring fault sample information of shield equipment;
sequentially performing piecewise linear fitting on each shield equipment fault sample;
extracting characteristics of each segment of data of the shield equipment fault sample to obtain a characteristic matrix of the shield equipment fault sample;
performing fault feature transformation, eliminating feature dimensions, and obtaining a feature matrix of a shield equipment fault sample with the dimensions eliminated;
calculating a mode distance threshold;
and associating the fault characteristic matrix with a mode distance threshold value, and storing to generate a fault mode knowledge base.
7. The method for evaluating the excavation of the underwater shield tunnel according to claim 6, wherein the obtaining of the shield equipment fault sample information specifically comprises:
selecting a researched shield equipment with the number P of fault types more than or equal to 2 and the occurrence times T of each fault more than or equal to 2 meeting the requirement;
selecting a sufficient number of observation points N, wherein N is more than or equal to 10, performing fault record searching on historical operation state data of shield equipment for a long time, and picking out fault related point information, start-stop time of a fault process and useful information of fault maintenance measure records from the fault records by using a set screening rule;
and reading the shield equipment fault sample information from the power plant real-time database PI according to the useful information.
8. The method for evaluating the excavation of the underwater shield tunnel according to claim 7, wherein the step of sequentially performing piecewise linear fitting on each shield equipment failure sample comprises the steps of:
mean value filtering operation: filtering and eliminating noise pollution doped in sample data;
segment initializing the shield equipment fault sample after filtering treatment;
combining the initialized data segments pairwise to calculate fitting errors;
determining a segmentation cutting point of a shield equipment fault sample, and carrying out adaptive state segmentation on the shield equipment fault sample.
9. The method for evaluating the excavation of the underwater shield tunnel according to claim 8, further comprising the step of performing damping operation on the shield equipment according to vibration data of the underwater shield tunnel structure and the magnitude of the water pressure born by the underwater shield tunnel structure.
10. An underwater shield tunnel excavation evaluation apparatus, characterized in that the apparatus employs the underwater shield tunnel excavation evaluation method of any one of claims 1 to 9.
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| CN110378574A (en) * | 2019-07-01 | 2019-10-25 | 山东大学 | Submerged tunnel Pressure Shield Tunnel face stability evaluation method, system and equipment |
| CN113338966A (en) * | 2021-05-26 | 2021-09-03 | 苏州中车建设工程有限公司 | Shield machine with efficient damping device |
| CN114088812A (en) * | 2021-11-18 | 2022-02-25 | 中铁电气化局集团有限公司 | Method for evaluating vibration of surrounding soil body in shield tunnel construction |
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