CN115659744A - Geological parameter real-time sensing method based on geological and equipment coupling simulation - Google Patents
Geological parameter real-time sensing method based on geological and equipment coupling simulation Download PDFInfo
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Abstract
The invention provides a geological parameter real-time sensing method based on geological and equipment coupling simulation, which comprises the steps of obtaining state operation parameters through output of a component coupling simulation model, establishing a database by taking the corresponding geological parameters as a working condition set, establishing a geological surrounding rock grade prediction model, inputting the operation state parameters of the equipment into the geological surrounding rock grade prediction model through real-time collection, predicting the surrounding rock grade, and screening the working condition set in the database according to the collected operation state parameters and the predicted surrounding rock grade to obtain the predicted geological parameters. The method is simple and rapid, can quickly acquire the geological conditions of the current equipment, effectively avoids water inrush and mud inrush, landslide, large deformation and other geological disasters, and greatly shortens the construction period.
Description
Technical Field
The invention relates to the technical field of geological prediction, in particular to a geological parameter real-time perception method based on geological and equipment coupling simulation.
Background
In the tunnel construction process, the shield driver misjudges the current geological physical properties, so that an inappropriate construction scheme is implemented, the important factors of accidents such as equipment damage, tunnel water seepage, shield machine blocking, hydraulic water vapor pipeline pipe explosion and the like are often caused, the construction period is greatly delayed, and the personnel safety is seriously damaged.
The conventional detection method is an advanced drilling method, coring and recording are carried out on the drilling process in front of a tunnel face, geotechnical engineering personnel observe the distribution of a rock core structural face and judge the properties of fillers, and macroscopic characteristics of tunnel surrounding rocks are qualitatively analyzed and subjected to engineering classification, so that the judgment on the geological condition in front of the tunnel face is completed.
However, the method excessively depends on manual analysis, and only qualitative judgment can be performed on unfavorable geological and surrounding rock conditions, so that the method is time-consuming and labor-consuming, strong in subjectivity and large in error; in addition, the basis of the method for identifying the unfavorable geology mainly comes from a rock core, the utilization rate of information in other aspects in the advanced drilling process is too low, omission is easy to occur in the identification of the unfavorable geology and the judgment of the geological conditions of the front engineering, the period time is long, the cost is high, and the consumption of manpower and material resources is large.
In view of the above, a geological parameter real-time sensing method based on geological and equipment coupled simulation is urgently needed to solve the problems in the prior art.
Disclosure of Invention
The invention aims to provide a geological parameter real-time perception method based on geological and equipment coupling simulation, which has the following specific technical scheme:
a geological parameter real-time perception method based on geological and equipment coupling simulation comprises the following steps:
s1: building a rock-soil model by using the tunnel geological survey report data; constructing an equipment grid model by using the equipment three-dimensional model; constructing a coupling simulation model by utilizing the equipment grid model and the rock-soil model; correcting the coupling simulation model by using geological parameters in a tunnel geological survey report, so that the error between the running state parameters output by coupling simulation and the actual running state parameters accords with preset precision;
s2: acquiring different geological parameters and corresponding running state parameters by using a coupling simulation model, outputting a single geological parameter and the corresponding running state parameter as a working condition set, and building a database based on a plurality of working condition sets; the working condition set in the database is classified according to the grade of surrounding rocks;
s3: constructing a geological surrounding rock grade prediction model based on the geological surrounding rock grade and the historical data of the corresponding operation state parameters;
s4: and acquiring the running state parameters of the equipment in real time, inputting the running state parameters into a geological surrounding rock grade prediction model, predicting the surrounding rock grade, and screening the working condition set in the database according to the acquired running state parameters and the predicted surrounding rock grade to obtain the predicted geological parameters.
Preferably, the screening of the working condition set in the database specifically includes:
screening a first type of parameters: screening a working condition set in the database according to the predicted surrounding rock grade, and taking the screened working condition set as a first type of parameter;
screening a second type of parameters: comparing the operation state parameters in the first type of parameters with the collected real-time operation state parameters, and screening the first type of parameters smaller than a preset error value as second type of parameters; if the first type of parameters have parameters meeting the second screening condition, screening the third type of parameters, and if the first type of parameters do not meet the second type of parameter screening condition, screening the fourth type of parameters;
screening a third type of parameters: comparing the operating state parameters in the second type of parameters with the collected operating state parameters, and screening a working condition set with the minimum comprehensive error value as a third type of parameters; outputting the geological parameters in the third type of parameters as predicted geological parameters;
screening a fourth type of parameters: comparing the running state parameters in the first class of parameters with the collected running state parameters, screening the working condition set with the minimum error sum of the running state parameters as a fourth class of parameters, and outputting the geological parameters of the fourth class of parameters as predicted geological parameters.
Preferably, the construction of the coupled simulation model specifically includes: and (3) setting the equipment grid model and the rock-soil model in a contact and coupling manner, creating boundary conditions and loads, and building a coupling simulation model.
Preferably, the boundary conditions and the load are specifically: keeping an upper boundary of the rock-soil model and an initial boundary of the equipment grid model unchanged, fixing a lower boundary of the rock-soil model, a left boundary of the rock-soil model, a right boundary of the rock-soil model and a termination boundary of the equipment grid model, and adding the gravity acceleration and the propelling speed of the shield tunneling machine as loads.
Preferably, the correcting step specifically includes: and adjusting the shape and size, the contact setting, the hourglass setting and the equipment grid setting of the coupling simulation model by using geological parameters in the tunnel geological survey report.
Preferably, the preset precision is 90%.
Preferably, the geological parameters include young's modulus, cohesion, friction angle, poisson's ratio, shear angle, plastic strain, hardening parameters, and plastic volume strain rate.
Preferably, the operating condition parameters include thrust, torque, pressure, stress, flow, speed, temperature, current, voltage, and vibration
The technical scheme of the invention has the following beneficial effects:
the invention provides a geological parameter real-time sensing method based on geological and equipment coupling simulation, which comprises the steps of obtaining state operation parameters through output of a component coupling simulation model, establishing a database by taking the corresponding geological parameters as a working condition set, establishing a geological surrounding rock grade prediction model, inputting the operation state parameters of equipment into the geological surrounding rock grade prediction model through real-time acquisition, predicting the surrounding rock grade, and screening the working condition set in the database according to the acquired operation state parameters and the predicted surrounding rock grade to obtain the predicted geological parameters. The method is simple and rapid, can quickly acquire the geological conditions of the current equipment, effectively avoids water inrush and mud inrush, landslide, large deformation and other geological disasters, and greatly shortens the construction period.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification. In the drawings:
FIG. 1 is a schematic overall flow chart of the preferred embodiment 1 of the present invention;
fig. 2 is a schematic flow chart of step S4 in preferred embodiment 1 of the present invention.
Detailed Description
In order that the invention may be more fully understood, a more particular description of the invention will now be rendered by reference to specific embodiments thereof that are illustrated in the appended drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Example 1:
referring to fig. 1, a geological parameter real-time sensing method based on geological and equipment coupling simulation is characterized by comprising the following steps:
s1: building a rock-soil model by using tunnel geological survey report data through finite element simulation software; constructing an equipment grid model by using the equipment three-dimensional model; establishing boundary conditions and loads (keeping an upper boundary of the rock-soil model and an initial boundary of the equipment grid model unchanged, fixing a lower boundary of the rock-soil model, a left boundary of the rock-soil model, a right boundary of the rock-soil model and a termination boundary surface of the equipment grid model, and adding gravity acceleration and shield tunneling machine propulsion speed as loads) by utilizing contact and coupling settings of the equipment grid model and the rock-soil model, and constructing a coupling simulation model; adjusting the shape and size, contact setting, hourglass setting and equipment grid setting of the coupling simulation model by using geological parameters in a tunnel geological survey report, so that the error between the running state parameters output by the coupling simulation and the actual running state parameters accords with the preset precision (90%); in this embodiment, the geological parameters include: young's modulus, cohesion, friction angle, and poisson's ratio.
S2: acquiring different geological parameters and corresponding running state parameters by using a coupling simulation model, outputting the geological parameters and the corresponding running state parameters as a working condition set, and building a database based on a plurality of working condition sets; the working condition set in the database is divided into 6 types I, II, III, IV, V and VI according to the surrounding rock grades; the method comprises the following steps:
(a) Taking the geological parameters and the corresponding running state parameters output by coupling simulation as a working condition set, and classifying the geological parameters into 6 geological types including I, II, III, IV, V and VI according to the surrounding rock grades; (b) Determining the value selection range of 4 geological parameters in each geological type, selecting 4 values for each parameter equal difference, carrying out DOE (design of experiments) analysis on the coupled simulation model, wherein each geological type has 256 geological parameter data, and the DOE analysis is used for solving and calculating the simulation output running state parameter corresponding to each geological parameter data; (c) And outputting the geological parameters and the simulation output running state parameters in a working condition set, and building a database based on a plurality of working condition sets. The constructed database is as follows:
wherein i, j, k, l =1, 2, 3, 4, represents 4 parameter values taken by each geological parameter; n =1, 2, 3, 4, 5, 6, representing 6 grades of surrounding rock; e is Young modulus, R is cohesive force, beta is a friction angle, and upsilon is Poisson ratio; f ijkl 、W ijkl 、P ijkl And σ ijkl Respectively equipped with geological parameters E i 、R j 、β k 、υ l In the process, the thrust, the torque, the pressure and the stress value are solved through simulation calculation;
s3: constructing a geological surrounding rock grade prediction model based on the geological surrounding rock grade and the historical data of the corresponding operation state parameters;
training the training set by using the geological surrounding rock grade and historical data of corresponding shield machine operation state parameters as a training set and adopting a machine learning algorithm to obtain a geological surrounding rock grade prediction model; the operating condition parameters include thrust, torque, pressure, stress, flow, speed, temperature, current, voltage, and vibration (including thrust, torque, pressure, and stress in this embodiment).
S4: referring to fig. 2, the operation state parameters of the equipment are collected in real time, the operation state parameters are input into a geological surrounding rock grade prediction model to predict the surrounding rock grade, and a working condition set in a database is screened according to the collected operation state parameters and the surrounding rock grade to obtain predicted geological parameters, wherein the method specifically comprises the following steps:
screening first type parameters: screening working condition set in database according to predicted surrounding rock gradeAnd taking the working condition set obtained by screening as a first type parameter X 1 The expression is as follows:
X 1 ＝(E i 、R j 、β k 、υ l 、F ijkl 、W ijkl 、P ijkl 、σ ijkl ) n ；
in the formula X 1 Representing a first type parameter, and n is the grade of the surrounding rock;
screening a second type of parameters: in the first class of parameters X 1 Inner and screening thrust F i′j′k′l′ And torque W i′j′k′l′ The working condition set with the error of the real-time running state parameter less than 20 percent is used as a second type parameter X 2 The expression is as follows:
or when F i′j′k′l′ 、W i′j′k′l′ When the screening conditions can not be met, the following screening conditions are adopted:
when F is present i′j′k′l′ 、W i′j′k′l′ When any screening condition is met, screening a third type of parameters; if the parameter can not be met, screening a fourth type of parameter is carried out;
wherein, F t 、W t Respectively real-time thrust and torque of the equipment in the operation process; i ', j', k 'and l' are parameter numbers of the second type of parameters after the second screening, and i ', j', k 'and l' =1, 2, 3 and 4; f i′j′k′l′ 、W i′j′k′l′ 、P i′j′k′l′ And σ i′j′k′l′ Respectively equipped with geological parameters E i' 、R j' 、β k’ 、υ l' Calculating thrust, torque, pressure and stress values solved by time simulation;
screening a third type of parameters: in the first class of parameters X 2 Screening out the pressure P i″j″k″l″ And stress σ i″j″k″l″ The set of conditions with the smallest sum of errors with the real-time sensor data is used as the third type of parameter X 3 The expression is as follows:
in the formula P t 、σ t Respectively representing real-time pressure and stress values of the equipment in the operation process; i ', j', k ', l' are parameter numbers of the third type of parameters after the third screening; f i″j″k″l″ 、W i″j″k″l″ 、P i″j″k″l″ And σ i″j″k″l″ Respectively equipped with geological parameters E i″ 、R j″ 、β k″ 、υ l″ Thrust, torque, pressure and stress values solved by time simulation calculation
Outputting the geological parameters in the third type of parameters as predicted geological parameters;
screening a fourth type of parameters: screening thrust within first class parameters
Torque of
Pressure of
And stress
The working condition set with the minimum comprehensive error compared with the real-time running state parameters of the four working conditions is taken as a fourth type parameter X 4 The expression is as follows:
wherein,
numbering the parameters of the fourth type of parameters subjected to the fourth screening;
and
respectively equipped with geological parameters of
And (4) calculating the solved thrust, torque, pressure and stress values through time simulation.
And outputting the geological parameters in the working condition set as predicted geological parameters.
In the embodiment, a shield construction site in a certain section is selected, a 6-meter earth pressure balance shield machine is equipped, a three-dimensional model of the shield machine is simplified, grids are divided, and an equipment grid model is constructed; reading geological parameters from the geological survey report, and building a geotechnical model; establishing contact and coupling setting of an equipment grid model and a rock-soil model, adding boundary conditions and loads, and building a coupling simulation model; selecting a section of tunnel, and correcting the coupling simulation model by using geological parameters and actual operation state parameters in a tunnel geological survey report to enable the coupling simulation precision to reach the expected precision;
in the embodiment, 2 shield equipment common surrounding rock grades of IV-level surrounding rock and V-level surrounding rock are selected, each surrounding rock grade selects 2 geological parameters of Young modulus and cohesion as variables, each geological parameter selects 2 numerical values, 8 groups of data are used as geological data, and a database is built together with operation state parameters output by shield coupling simulation as follows:
screening first type parameters: and (3) predicting the surrounding rock grade to be V surrounding rock by utilizing a geological surrounding rock grade prediction model based on the real-time operation state parameters, wherein the first type parameters are as follows:
screening a second type of parameters: the collected field data of the shield tunneling machine is F t ＝9452KN、W t ＝4353KNm、P t ＝0.75MPa、σ t And when the pressure is not less than 12MPa, screening a second type of parameters to obtain the following thrust and torque errors:
obtaining a second type of parameters:
X 2 (E i′ 、R j′ 、β k′ 、υ l′ 、F i′j′k′l′ 、W i′j′k′l′ 、P i′j′k′l′ 、σ i′j′k′l′ )＝
[(350MPa、0.35MPa、25°、0.35、9720KN、4855KNm、0.87MPa、12.6MPa) 5 ]；
screening a third type of parameters: since only one set of parameters remains for the second type of parameters, the set of parameters is the third type of parameters X 3 ；
The current geological parameters of the equipment are Young modulus E =350MPa, cohesive force c =0.35MPa, friction angle beta =25 degrees, poisson ratio upsilon =0.35.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A geological parameter real-time perception method based on geological and equipment coupling simulation is characterized by comprising the following steps:
s1: building a rock-soil model by using the tunnel geological survey report data; constructing an equipment grid model by using the equipment three-dimensional model; constructing a coupling simulation model by utilizing the equipment grid model and the rock-soil model; correcting the coupling simulation model by using geological parameters in the tunnel geological survey report, so that the error between the running state parameters output by the coupling simulation and the actual running state parameters accords with preset precision;
s2: acquiring different geological parameters and corresponding running state parameters by using a coupling simulation model, outputting a single geological parameter and the corresponding running state parameter as a working condition set, and building a database based on a plurality of working condition sets; the working condition set in the database is classified according to the grade of surrounding rocks;
s3: constructing a geological surrounding rock grade prediction model based on the geological surrounding rock grade and the historical data of the corresponding operation state parameters;
s4: and acquiring the running state parameters of the equipment in real time, inputting the running state parameters into a geological surrounding rock grade prediction model, predicting the surrounding rock grade, and screening the working condition set in the database according to the acquired running state parameters and the predicted surrounding rock grade to obtain the predicted geological parameters.
2. The method for sensing geological parameters in real time according to claim 1, wherein the screening of the working condition set in the database specifically comprises:
screening first type parameters: screening a working condition set in the database according to the predicted surrounding rock grade, and taking the screened working condition set as a first type of parameter;
screening a second type of parameters: comparing the operation state parameters in the first type of parameters with the collected real-time operation state parameters, and screening the first type of parameters smaller than a preset error value as second type of parameters; if the first type of parameters have parameters meeting the second screening condition, screening the third type of parameters, and if the first type of parameters do not meet the second type of parameter screening condition, screening the fourth type of parameters;
screening a third type of parameters: comparing the running state parameters in the second type of parameters with the collected running state parameters, and screening a working condition set with the minimum comprehensive error value as a third type of parameters; outputting the geological parameters in the third type of parameters as predicted geological parameters;
screening a fourth type of parameters: comparing the running state parameters in the first class of parameters with the collected running state parameters, screening the working condition set with the minimum error sum of the running state parameters as a fourth class of parameters, and outputting the geological parameters of the fourth class of parameters as predicted geological parameters.
3. The method for sensing geological parameters in real time according to claim 1, wherein the construction of the coupled simulation model specifically comprises: and (3) setting the equipment grid model and the rock-soil model in a contact and coupling manner, creating boundary conditions and loads, and building a coupling simulation model.
4. The method for sensing geological parameters in real time according to claim 3, wherein the boundary conditions and loads are specifically: keeping an upper interface of the geotechnical model and an initial interface of the equipment grid model unchanged, fixing a lower interface of the geotechnical model, a left interface of the geotechnical model, a right interface of the geotechnical model and a termination boundary surface of the equipment grid model, and adding the gravity acceleration and the propelling speed of the shield machine as loads.
5. The method for sensing geological parameters in real time according to claim 1, wherein the correcting step is specifically: and adjusting the shape and size, the contact setting, the hourglass setting and the equipment grid setting of the coupling simulation model by using geological parameters in the tunnel geological survey report.
6. The method for real-time perception of geological parameters according to claim 1, characterized in that said preset precision is 90%.
7. The method of claim 1, wherein the geological parameters comprise Young's modulus, cohesion, friction angle, poisson's ratio, shear angle, plastic strain, hardening parameters and plastic volume strain rate.
8. A method of real-time sensing of geologic parameters according to claim 1, wherein the operating state parameters include thrust, torque, pressure, stress, flow, speed, temperature, current, voltage, and vibration.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116304843A (en) * | 2023-05-22 | 2023-06-23 | 湖南大学 | Method and system for identifying geological conditions in front of shield tunneling machine in real time based on vibration response |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116304843A (en) * | 2023-05-22 | 2023-06-23 | 湖南大学 | Method and system for identifying geological conditions in front of shield tunneling machine in real time based on vibration response |
| CN116304843B (en) * | 2023-05-22 | 2023-08-18 | 湖南大学 | Method and system for identifying geological conditions in front of shield tunneling machine in real time based on vibration response |
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