CN118130251A - Method and system for monitoring deformation bearing capacity of tunnel structure - Google Patents

Method and system for monitoring deformation bearing capacity of tunnel structure Download PDF

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CN118130251A
CN118130251A CN202410548754.4A CN202410548754A CN118130251A CN 118130251 A CN118130251 A CN 118130251A CN 202410548754 A CN202410548754 A CN 202410548754A CN 118130251 A CN118130251 A CN 118130251A
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tunnel
monitoring period
deformation
bearing
monitoring
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张楠
郭凯寅
姜杨
郭胜忠
张倩
胡佳
张慧
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Tianjin Binhai New Area Rail Transit Investment Development Co ltd
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Abstract

The invention relates to the technical field of tunnel structure deformation bearing capacity monitoring, and particularly discloses a tunnel structure deformation bearing capacity monitoring method and system, wherein the method comprises the following steps: the method comprises the steps of obtaining a pressure-bearing data set of each monitoring period tunnel, analyzing to obtain a pressure-bearing evaluation value of each monitoring period tunnel, obtaining an environment information set of each monitoring period tunnel, analyzing to obtain an environment monitoring evaluation value of each monitoring period tunnel, importing the environment monitoring evaluation value of each monitoring period tunnel into a tunnel deformation bearing capacity evaluation model, integrating data to obtain a pressure-bearing evaluation prediction value of each monitoring period tunnel deformation, and carrying out early warning management and control prompt on the deformation bearing capacity of a tunnel structure.

Description

Method and system for monitoring deformation bearing capacity of tunnel structure
Technical Field
The invention relates to the technical field of tunnel structure deformation bearing capacity monitoring, in particular to a tunnel structure deformation bearing capacity monitoring method and system.
Background
The tunnel structure deformation bearing capacity monitoring technology is important content of a tunnel structure deformation bearing capacity monitoring method, deformation and bearing capacity of a tunnel structure can be monitored, potential problems and structural changes can be found in time, necessary preventive and repair measures are taken, safe operation of the tunnel is guaranteed, the situation of the structure can be known in time through monitoring the deformation situation of the tunnel structure, corresponding maintenance and maintenance measures are taken, the service life of the tunnel is prolonged, maintenance cost is reduced, possible disaster hidden dangers can be found in time through monitoring the deformation situation of the tunnel structure, preventive measures are taken, disaster risks caused by structural problems are reduced, a reasonable tunnel bearing data set is established, the information can be comprehensively analyzed, the health condition of the tunnel structure can be evaluated more accurately, factors which can influence structural bearing can be found, the tunnel bearing data set is established in detail, the tunnel can be monitored in real time, once abnormal bearing situations are monitored, a system can give out timely alarm, relevant personnel can be reminded of taking necessary countermeasures, accordingly, potential safety problems are avoided, collection and analysis of data are helpful for structure health protection, the structural health protection can be improved, the maintenance life can be improved, the maintenance and the maintenance life is improved, the structural protection can be improved, the structural protection is improved, the maintenance life is improved, the maintenance and the structural protection is improved, the maintenance life is improved, the structural protection is improved, the maintenance and the maintenance life can be improved, the maintenance and the maintenance life of the maintenance system is improved can be improved, the maintenance and the maintenance system is improved, the maintenance and the structure is improved and the maintenance system and the structure can be a structure and the structure can be made.
For example, publication No.: the invention patent of CN117034416A discloses a tunnel construction period buffer layer parameter design method based on deformation monitoring data, which comprises the following steps: s1, monitoring large deformation of a tunnel in a soft rock section construction period; s2, determining an aging deformation stabilization stage based on deformation monitoring data; s3, carrying out inversion analysis of the surrounding rock time-dependent deformation parameters based on the monitoring data to determine surrounding rock rheological parameters; s4, carrying out compression tests of buffer materials with different densities, calculating design values of the bearing capacity of the secondary lining, and determining the maximum stress sigma z of a compression platform section of the buffer layer material, the density rho of the selected filling material and the limit strain epsilon z of the filling material; s5, determining the time-dependent deformation of the surrounding rock after secondary lining construction according to the surrounding rock parameters in combination with the supporting scheme of the tunnel and sigma z of the buffer layer; s6, determining the thickness of the buffer layer; the application can design the buffer layer according to deformation monitoring data during tunnel construction so as to adapt to various working conditions of the tunnel and improve the effect and construction quality of the buffer layer.
At present, the method and the system for monitoring the deformation bearing capacity of the tunnel structure have some defects, and are particularly characterized in that the current monitoring of the deformation bearing capacity of the tunnel structure is limited in establishing a tunnel bearing data set, the deviation of the tunnel environment information set on the evaluation of the deformation bearing capacity of the tunnel structure is ignored, the stability and the bearing capacity of the tunnel structure cannot be evaluated comprehensively and accurately only by depending on the tunnel bearing data set, for example, the change of the underground water level can influence the saturation of soil around the tunnel, the shrinkage expansion or the flow of the soil is caused, the stability and the deformation bearing capacity of the tunnel structure are further influenced, the uncertainty and the error of the evaluation are improved by neglecting the tunnel environment information set, the unnecessary maintenance and repair work is increased, the maintenance cost is increased, and the effective utilization of resources is not facilitated.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a system for monitoring the deformation bearing capacity of a tunnel structure, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the first aspect of the invention provides a method for monitoring deformation bearing capacity of a tunnel structure, which comprises the following steps: and acquiring pressure bearing data sets of each monitoring period tunnel, and analyzing the acquired pressure bearing data sets of each monitoring period tunnel to obtain deformation pressure bearing evaluation values of each monitoring period tunnel.
Acquiring environment information sets of each monitoring period tunnel, analyzing the environment information sets of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, importing the environment monitoring evaluation values of each monitoring period tunnel into a tunnel deformation bearing capacity evaluation model, comparing to obtain deformation bearing evaluation deviation values of each monitoring period tunnel, and integrating the obtained deformation bearing evaluation deviation values of each monitoring period tunnel and the deformation bearing evaluation values of each monitoring period tunnel to obtain deformation bearing evaluation prediction values of each monitoring period tunnel.
And carrying out early warning management and control prompt on the deformation bearing capacity of the tunnel structure based on the tunnel deformation bearing evaluation predicted value of each monitoring period.
As a further method, acquiring pressure-bearing data sets of each monitoring period tunnel, and analyzing the acquired pressure-bearing data sets of each monitoring period tunnel to obtain pressure-bearing evaluation values of each monitoring period tunnel, wherein the specific analysis process is as follows: the method comprises the steps of acquiring pressure-bearing data sets of each monitoring period tunnel, and specifically comprises pressure-bearing data of each monitoring period tunnel and deformation data of each monitoring period tunnel, wherein the pressure-bearing data of each monitoring period tunnel comprise pressure-bearing values of each monitoring period tunnel, pressure-bearing areas of each monitoring period tunnel and ground friction coefficients of each monitoring period tunnel, and the deformation data of each monitoring period tunnel comprise sinking distances of bottoms of each monitoring period tunnel, distances from vaults to bottoms of each monitoring period tunnel and vault thicknesses of each monitoring period tunnel.
And comprehensively analyzing the obtained pressure-bearing data of each monitoring period tunnel and the deformation data of each monitoring period tunnel to obtain pressure-bearing evaluation values of each monitoring period tunnel, wherein the pressure-bearing evaluation values of each monitoring period tunnel are used as analysis basis of the pressure-bearing evaluation prediction values of each monitoring period tunnel.
As a further method, an environment information set of each monitoring period tunnel is obtained, and the environment information set specifically comprises atmospheric environment data of each monitoring period tunnel and construction environment data of each monitoring period tunnel, wherein the atmospheric environment data of each monitoring period tunnel comprises internal humidity of each monitoring period tunnel, internal temperature of each monitoring period tunnel and external temperature of each monitoring period tunnel, and the construction environment data of each monitoring period tunnel comprises ground water level height of each monitoring period tunnel, ground surface subsidence height above each monitoring period tunnel and internal soil humidity of each monitoring period tunnel.
As a further method, the tunnel environment information set of each monitoring period is analyzed to obtain the tunnel environment monitoring evaluation value of each monitoring period, and the specific analysis process is as follows: and comprehensively analyzing the atmospheric environment data of each monitoring period tunnel and the construction environment data of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, wherein the environment monitoring evaluation values of each monitoring period tunnel are used as analysis basis of deformation pressure-bearing evaluation deviation values of each monitoring period tunnel.
As a further method, the environment monitoring evaluation value of each monitoring period tunnel is imported into a tunnel deformation bearing capacity evaluation model, and the deformation bearing capacity evaluation deviation value of each monitoring period tunnel is obtained through comparison, wherein the specific analysis process is as follows: and importing the environment monitoring evaluation values of each monitoring period tunnel into a tunnel deformation bearing capacity evaluation model to obtain deformation bearing evaluation characteristic values of each monitoring period tunnel, wherein the deformation bearing evaluation characteristic values of each monitoring period tunnel are used as analysis basis of the deformation bearing evaluation deviation values of each monitoring period tunnel.
And comparing the deformation and bearing evaluation characteristic values of each monitoring period tunnel with the deformation and bearing evaluation deviation values of the monitoring period tunnel corresponding to the deformation and bearing evaluation characteristic values of each monitoring period tunnel stored in the database to obtain deformation and bearing evaluation deviation values of each monitoring period tunnel, wherein the deformation and bearing evaluation deviation values of each monitoring period tunnel are used as analysis basis of the deformation and bearing evaluation prediction values of each monitoring period tunnel.
As a further method, the obtained deformation and bearing evaluation deviation value of each monitoring period tunnel and the obtained deformation and bearing evaluation value of each monitoring period tunnel are subjected to data integration to obtain the deformation and bearing evaluation predicted value of each monitoring period tunnel, and the specific analysis process is as follows: and carrying out data integration on the obtained deformation and bearing evaluation deviation value of each monitoring period tunnel and the corresponding deformation and bearing evaluation value of each monitoring period tunnel, and marking the integrated data as the deformation and bearing evaluation prediction value of each monitoring period tunnel.
As a further method, based on the estimated and predicted value of deformation bearing of the tunnel in each monitoring period, the deformation bearing capacity of the tunnel structure is subjected to early warning, management and control, and the specific analysis process is as follows: and comparing the tunnel deformation pressure-bearing evaluation predicted value of each monitoring period with the tunnel deformation pressure-bearing evaluation reference value stored in the database.
If the estimated value of the deformation and pressure bearing of the monitoring period tunnel is higher than the estimated reference value of the deformation and pressure bearing of the tunnel stored in the database, the deformation and pressure bearing of the monitoring period tunnel is recorded as the deformation and pressure bearing of the safety monitoring period tunnel, and the safety qualification prompt is carried out on the deformation and pressure bearing of the monitoring period tunnel.
If the estimated value of the deformation pressure of the monitoring period tunnel is equal to the estimated reference value of the deformation pressure of the tunnel stored in the database, the deformation pressure of the monitoring period tunnel is recorded as the deformation pressure of the risk monitoring period tunnel, and the deformation pressure of the monitoring period tunnel is subjected to risk early warning prompt.
If the estimated value of the deformation pressure of the monitoring period tunnel is lower than the estimated reference value of the deformation pressure of the tunnel stored in the database, the deformation pressure of the monitoring period tunnel is recorded as the deformation pressure of the dangerous monitoring period tunnel, and the deformation pressure of the monitoring period tunnel is subjected to dangerous early warning prompt.
As a further method, each time of monitoring the cyclic tunnel deformation bearing evaluation value, the specific calculation formula is as follows:
In the method, in the process of the invention, For the j-th monitoring period tunnel deformation bearing evaluation value,/>For the ith sampling point tunnel bearing evaluation value of the jth monitoring period,/>For the ith sampling point tunnel deformation evaluation value of the jth monitoring period,/>For the weight factor of the set tunnel bearing evaluation value,/>For the set weight factor of the tunnel deformation evaluation value, j is the number of each monitoring period,,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period;
The calculation formula of the tunnel pressure-bearing evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel bearing evaluation value of the jth monitoring period,/>Pressure value born by the tunnel at the ith sampling point in the jth monitoring period,/>Pressure bearing area of tunnel at ith sampling point for jth monitoring period,/>For the tunnel ground friction coefficient of the ith sampling point of the jth monitoring period,/>Defining bearing pressure values for tunnels stored in a tunnel database,/>Defining a pressure bearing area for a tunnel stored in a tunnel database,/>Reference friction coefficient for tunnel floor stored in tunnel database,/>For a compensation factor of the set tunnel withstand pressure value,/>For the compensation factor of the set tunnel bearing pressure area,/>For the compensation factor of the friction coefficient of the tunnel ground, j is the number of each monitoring period,/>, and,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period, and e is a natural constant;
the calculation formula of the tunnel deformation evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel deformation evaluation value of the jth monitoring period,/>For the j-th monitoring period, i-th sampling point tunnel bottom sinking distance,/>For the jth monitoring period, the distance from the tunnel vault to the bottom of the ith sampling point,/>For the ith sampling point tunnel vault thickness of the jth monitoring period,/>Define a distance for tunnel bottom subsidence stored in a tunnel database,/>For the reference distance of tunnel vault to bottom stored in tunnel database,/>Defining a thickness for a tunnel vault stored in a tunnel database,/>Is a compensation factor of the set tunnel bottom subsidence distance,/>Compensation factor for the set tunnel dome to bottom distance,/>For the compensation factor of the set tunnel vault thickness, j is the number of each monitoring period,/>,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period.
As a further method, each monitoring period is a tunnel environment monitoring evaluation value, and a specific calculation formula is as follows:
;
In the method, in the process of the invention, For the j-th monitoring period tunnel environment monitoring evaluation value,/>For the ith sampling point tunnel atmospheric environment evaluation value of the jth monitoring period,/>For the j-th monitoring period tunnel construction environment evaluation value,/>Weight factor for set tunnel atmospheric environment evaluation value,/>For the set weight factor of the tunnel construction environment evaluation value, j is the number of each monitoring period,/>,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,N is the total number of sampling points in each monitoring period;
the calculation formula of the tunnel atmospheric environment evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel atmospheric environment evaluation value of the jth monitoring period,/>For the jth monitoring period, the humidity in the tunnel at the ith sampling point,/>For the jth monitoring period, the temperature in the tunnel at the ith sampling point,/>For the jth monitoring period, the temperature outside the tunnel at the ith sampling point,/>For the tunnel interior reference humidity stored in the tunnel database,For the reference temperature inside the tunnel stored in the tunnel database,/>For the tunnel external reference temperature stored in the tunnel database,/>For the set compensation factor of the tunnel interior humidity,/>For the compensation factor of the set tunnel internal temperature,/>For the compensation factor of the set tunnel outside temperature,/>The j is the number of each monitoring period and is the correction factor of the set tunnel atmospheric environment evaluation value,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,N is the total number of sampling points in each monitoring period;
The calculation formula of the evaluation value of the tunnel construction environment in each monitoring period is as follows:
In the method, in the process of the invention, For the j-th monitoring period tunnel construction environment evaluation value,/>For j-th monitoring period tunnel ground water level height,/>For the j-th monitoring of the surface subsidence height above the periodic tunnel,/>For the j-th monitoring period, the soil humidity in the tunnel is detected,/>For the reference height of tunnel groundwater level stored in tunnel database,/>Reference height for surface subsidence above tunnels stored in a tunnel database,/>For soil reference humidity in tunnel stored in tunnel database,/>For the compensation factor of the set tunnel underground water level height,/>For the compensation factor of the surface subsidence height above the set tunnel,/>Is a compensation factor of the soil humidity in the set tunnel,/>For the correction factor of the set tunnel construction environment evaluation value, j is the number of each monitoring period,/>, and,/>To monitor the total number of cycles.
The invention provides a tunnel structure deformation bearing capacity monitoring system, which comprises a tunnel deformation bearing evaluation value acquisition module, a tunnel deformation bearing evaluation prediction value acquisition module, an early warning management and control prompt module and a tunnel database, wherein: the tunnel deformation bearing evaluation value acquisition module is used for acquiring each monitoring period tunnel bearing data set, and analyzing the acquired each monitoring period tunnel bearing data set to obtain each monitoring period tunnel deformation bearing evaluation value.
The tunnel deformation pressure-bearing evaluation prediction value acquisition module is used for acquiring environment information sets of each monitoring period tunnel, analyzing the environment information sets of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, importing the environment monitoring evaluation values of each monitoring period tunnel into the tunnel deformation bearing capacity evaluation model, comparing to obtain deformation pressure-bearing evaluation deviation values of each monitoring period tunnel, and integrating the obtained deformation pressure-bearing evaluation deviation values of each monitoring period tunnel and the deformation pressure-bearing evaluation values of each monitoring period tunnel to obtain deformation pressure-bearing evaluation prediction values of each monitoring period tunnel.
And the early warning management and control prompt module is used for carrying out early warning management and control prompt on the deformation bearing capacity of the tunnel structure based on the deformation bearing evaluation predicted value of the tunnel in each monitoring period.
The tunnel database is used for storing the deformation pressure-bearing evaluation deviation value and the tunnel deformation pressure-bearing evaluation reference value of each monitoring period tunnel corresponding to the deformation pressure-bearing evaluation characteristic value of each monitoring period tunnel.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) The method and the system for monitoring the deformation bearing capacity of the tunnel structure are provided, a reasonable tunnel environment information set is established, the stability and the bearing capacity of the tunnel structure are comprehensively and accurately estimated, a tunnel deformation bearing capacity estimation model is established, the deviation of the tunnel environment information set on the tunnel structure deformation bearing capacity estimation is considered, the health condition of the tunnel structure can be accurately estimated, factors which possibly influence the bearing capacity of the structure are beneficial to finding out, the influence of various environment factors on the tunnel structure can be more comprehensively considered through establishing an exhaustive environment information set, the estimation uncertainty and error are reduced, the estimation accuracy and reliability are improved, the tunnel environment information is synthesized, the prediction of the future possible change is formed, the long-term structure health condition estimation is facilitated, the potential problem is found early, the preventive measures are taken, the future risk is reduced, the running environment of the tunnel can be better understood, the unnecessary maintenance and repair work is reduced, the maintenance cost is reduced, and the effective utilization of resources is ensured.
(2) According to the invention, by analyzing the tunnel deformation pressure-bearing evaluation value, the real-time monitoring of the tunnel deformation pressure-bearing evaluation value can rapidly catch the signs of structural deformation, so that measures can be taken in time to prevent further damage, the safety of a tunnel structure is improved, the tunnel deformation pressure-bearing evaluation value is one of key indexes for evaluating the health condition of the structure, the stability and possible problems of the structure can be known through the analysis of the values, a scientific basis is provided for maintenance and repair, an early warning system is established by utilizing the tunnel deformation pressure-bearing evaluation value, an alarm can be sent out in advance when the structure is subjected to important change, related personnel can rapidly respond, potential risks are reduced, the periodic change and possible rules of the structure can be better understood through long-term monitoring and analysis of the trend of the tunnel deformation pressure-bearing evaluation value, and more targeted measures are taken.
(3) According to the invention, through analyzing the tunnel environment monitoring evaluation value, the tunnel environment monitoring evaluation value can provide data about surrounding environment factors, the factors have direct or indirect influence on the deformation and bearing capacity of the tunnel structure, the deformation bearing capacity of the tunnel structure can be more comprehensively evaluated, so that more effective monitoring and maintenance strategies are formulated, the tunnel environment monitoring evaluation value is helpful for identifying potential risk factors, environmental changes which possibly affect the tunnel structure can be found early, through real-time analysis of environment monitoring data, an early warning system can be established, possible problems can be predicted in advance, corresponding measures are taken to alleviate risks, the safety of the tunnel structure is ensured, through analysis of the tunnel environment monitoring evaluation value, important references can be provided for the design and construction of the tunnel, the adaptability and stability of the structure can be reasonably adjusted according to the environment monitoring data in the design stage, the construction scheme can be adjusted in real time according to the environment monitoring data, the influence of adverse environment factors on the construction is reduced, and the construction quality and the construction progress are ensured in the construction stage.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a flow chart of the method steps of the present invention.
Fig. 2 is a schematic diagram of system module connection according to the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, but not all embodiments, and all other embodiments obtained by those skilled in the art without making creative efforts based on the embodiments of the present invention are included in the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a method for monitoring deformation bearing capacity of a tunnel structure, including: and acquiring pressure bearing data sets of each monitoring period tunnel, and analyzing the acquired pressure bearing data sets of each monitoring period tunnel to obtain deformation pressure bearing evaluation values of each monitoring period tunnel.
Specifically, each monitoring period tunnel pressure-bearing data set is obtained, each obtained monitoring period tunnel pressure-bearing data set is analyzed to obtain each monitoring period tunnel deformation pressure-bearing evaluation value, and the specific analysis process is as follows: the method comprises acquiring pressure-bearing data sets of each monitoring period tunnel, and specifically comprises pressure-bearing data of each monitoring period tunnel and deformation data of each monitoring period tunnel, wherein the pressure-bearing data of each monitoring period tunnel comprises pressure values born by each monitoring period tunnel, the pressure values born by the tunnel generally refer to pressure values exerted by external force born by a tunnel structure on the pressure values, the pressure bearing areas born by each monitoring period tunnel refer to the area range of the internal structure and the wall surface of the tunnel acted by the external pressure, the ground friction coefficient of each monitoring period tunnel refers to the ratio of the friction force between the ground surface inside the tunnel and the vehicle tire or the sole of the pedestrian to the vertical pressure, the roughness of the ground surface inside the tunnel and the resistance to the movement of a running vehicle or the pedestrian are represented, the monitoring period tunnel deformation data includes a sinking distance of the tunnel bottom of each monitoring period, the sinking distance of the tunnel bottom refers to a sinking or descending distance of the tunnel bottom relative to an original design or reference elevation position, the distance of the tunnel dome to the bottom of each monitoring period generally refers to a vertical distance from the top to the bottom of the tunnel, that is, a maximum height in the tunnel through which vehicles, trains or other transportation means can pass, the change of the distance from the tunnel dome to the bottom can be caused along with the pressure bearing of the tunnel, and the thickness of the tunnel dome of each monitoring period refers to a vertical distance from the top to the bottom of the tunnel, which can be changed due to weather and geological changes.
And comprehensively analyzing the obtained pressure-bearing data of each monitoring period tunnel and the deformation data of each monitoring period tunnel to obtain pressure-bearing evaluation values of each monitoring period tunnel, wherein the pressure-bearing evaluation values of each monitoring period tunnel are used as analysis basis of the pressure-bearing evaluation prediction values of each monitoring period tunnel.
It should be explained that, by analyzing the tunnel deformation pressure-bearing evaluation value, the real-time monitoring of the tunnel deformation pressure-bearing evaluation value can rapidly capture the signs of structural deformation, so that measures can be taken in time to prevent further damage, the safety of the tunnel structure is improved, the tunnel deformation pressure-bearing evaluation value is one of key indexes for evaluating the health condition of the structure, the stability and possible problems of the structure can be known through the analysis of the values, scientific basis is provided for maintenance and repair, an early warning system is established by utilizing the tunnel deformation pressure-bearing evaluation value, an alarm can be sent out in advance when the structure is significantly changed, related personnel can rapidly respond, potential risks are reduced, the periodic change and possible rules of the structure can be understood by long-term monitoring and analysis of the trend of the tunnel deformation pressure-bearing evaluation value, the behavior of the structure can be better understood, and more targeted measures can be taken.
Furthermore, the tunnel deformation pressure-bearing evaluation value of each monitoring period can be further obtained through further analysis of a machine learning integrated model, the prediction results of a plurality of basic models are combined by using an integrated method such as random forest so as to obtain more accurate communication matching values of each communication transmission link, and the communication matching values can be obtained through calculation in the following manner, wherein the specific calculation formula is as follows:
In the method, in the process of the invention, For the j-th monitoring period tunnel deformation bearing evaluation value,/>For the ith sampling point tunnel bearing evaluation value of the jth monitoring period,/>For the ith sampling point tunnel deformation evaluation value of the jth monitoring period,/>For the weight factor of the set tunnel bearing evaluation value,/>For the set weight factor of the tunnel deformation evaluation value, j is the number of each monitoring period,,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period.
It should be explained that, the above-mentioned each monitoring period tunnel deformation pressure-bearing evaluation value is through analyzing each monitoring period tunnel pressure-bearing data set, carry out comprehensive analysis to each monitoring period tunnel pressure-bearing data and each monitoring period tunnel deformation data, can evaluate the stability of tunnel structure more comprehensively, pressure-bearing data reflect the structure atress condition, and deformation data then provide the information about structure deformation, the data of these two aspects of synthesis can better understand the wholeness of structure, help to discern potential problem and improve the stability of structure, through timely comprehensive analysis pressure-bearing and deformation data, can discover the problem that the structure probably exists earlier, this helps to implement early repair and maintenance, avoid the problem to worsen further, improve reliability and durability of structure, through comprehensive analysis to pressure-bearing and deformation data, can select maintenance measure with pertinence, and improve maintenance effect, simultaneously reduce maintenance cost, through comprehensive analysis and deformation data, can confirm the relativity between the two, this helps understanding the deformation of tunnel structure under the stress condition, provide basis for reasonable structure adjustment and reinforcement scheme, it is more important to make the decision-making rule to predict the structure and can take the decision-making and decision making rule to have better to the reliability of future, can be based on the reliability and decision-making and reliability is more important to the reliability is improved.
In a specific embodiment, the calculation formula of the tunnel pressure-bearing evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel bearing evaluation value of the jth monitoring period,/>Pressure value born by the tunnel at the ith sampling point in the jth monitoring period,/>Pressure bearing area of tunnel at ith sampling point for ith monitoring period,/>For the tunnel ground friction coefficient of the ith sampling point of the jth monitoring period,/>Defining bearing pressure values for tunnels stored in a tunnel database,/>Defining a pressure bearing area for a tunnel stored in a tunnel database,/>Reference friction coefficient for tunnel floor stored in tunnel database,/>For a compensation factor of the set tunnel withstand pressure value,/>For the compensation factor of the set tunnel bearing pressure area,/>For the compensation factor of the friction coefficient of the tunnel ground, j is the number of each monitoring period,/>, and,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period, and e is a natural constant.
It should be explained that the above-mentioned each monitoring period tunnel bearing pressure evaluation value is obtained through each monitoring period tunnel bearing pressure value, each monitoring period tunnel bearing pressure area, each monitoring period tunnel ground friction coefficient calculation, comprehensively consider factors such as each monitoring period tunnel bearing pressure value, each monitoring period tunnel bearing pressure area, each monitoring period tunnel ground friction coefficient and the like, can evaluate the health condition of the tunnel structure, this helps to find potential structural problems, timely take repair and reinforcement measures, ensure safe operation of the tunnel, based on historical data and trend analysis, can predict future bearing conditions of the tunnel, this helps to formulate preventive maintenance plans, take measures in advance, prolong the service life of the tunnel, reduce maintenance cost, through analyzing bearing data and friction coefficients in different monitoring periods, can understand the behavior characteristics of the tunnel under different conditions, this can provide experience training for future tunnel design and construction, optimize design scheme and construction process, improve stability and safety of the tunnel, comprehensively analyze data such as bearing pressure value, bearing pressure area and ground friction coefficient and the like, can provide decision-making for managers and operators, can provide support strategy for bearing pressure and bearing, can provide comprehensive decision-making and support for the tunnel, and bearing pressure and safety factor, make comprehensive operation and safety and friction coefficient, and the like, and the comprehensive operation and the safety and life of the tunnel can be adjusted, and the service life is beneficial to the comprehensive and the operation and the safety factors.
In a specific embodiment, the calculation formula of the tunnel deformation evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel deformation evaluation value of the jth monitoring period,/>For the j-th monitoring period, i-th sampling point tunnel bottom sinking distance,/>For the jth monitoring period, the distance from the tunnel vault to the bottom of the ith sampling point,/>For the ith sampling point tunnel vault thickness of the jth monitoring period,/>Define a distance for tunnel bottom subsidence stored in a tunnel database,/>For the reference distance of tunnel vault to bottom stored in tunnel database,/>Defining a thickness for a tunnel vault stored in a tunnel database,/>Is a compensation factor of the set tunnel bottom subsidence distance,/>Compensation factor for the set tunnel dome to bottom distance,/>For the compensation factor of the set tunnel vault thickness, j is the number of each monitoring period,/>,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period.
It should be explained that the above-mentioned each monitoring period tunnel deformation evaluation value is obtained by each monitoring period tunnel bottom sagging distance, each monitoring period tunnel vault to bottom distance, each monitoring period tunnel vault thickness calculation, comprehensively considering each monitoring period tunnel bottom sagging distance, each monitoring period tunnel vault to bottom distance, each monitoring period tunnel vault thickness and other factors, it can help engineers understand the deformation condition of the tunnel structure, by tracking the bottom sagging distance, vault to bottom distance and vault thickness change, it can find the abnormal deformation of the tunnel structure in time, thereby taking necessary maintenance and reinforcement measures, ensure the structural safety and stability of the tunnel, based on the history data and trend analysis of the tunnel deformation evaluation value, it can predict the future deformation trend of the tunnel, which is helpful for making preventive maintenance plan, take measures in time, slow down or avoid further deterioration of the tunnel structure, reduce maintenance cost, prolong the service life of the tunnel, by analyzing the tunnel deformation evaluation value, it can evaluate the safety risk of the tunnel, when the deformation exceeds the predetermined safety range, it is possible to have the deformation condition of the tunnel structure, it is possible to have immediate risk of the structure, it is necessary to take important to evaluate the tunnel deformation evaluation departments by designing the safety and stability of the tunnel structure, it is important to evaluate the tunnel deformation and the safety and stability of the tunnel structure is important to be improved by designing and the safety and stability, the tunnel deformation evaluation has the safety and stability is important to be evaluated by optimizing the safety and stability of the tunnel structure, ensuring that it meets safety standards and regulatory requirements over the design life.
Acquiring environment information sets of each monitoring period tunnel, analyzing the environment information sets of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, importing the environment monitoring evaluation values of each monitoring period tunnel into a tunnel deformation bearing capacity evaluation model, comparing to obtain deformation bearing evaluation deviation values of each monitoring period tunnel, and integrating the obtained deformation bearing evaluation deviation values of each monitoring period tunnel and the deformation bearing evaluation values of each monitoring period tunnel to obtain deformation bearing evaluation prediction values of each monitoring period tunnel.
Specifically, the tunnel environment information set of each monitoring period is obtained, and the tunnel environment information set of each monitoring period specifically comprises tunnel atmospheric environment data of each monitoring period and tunnel construction environment data of each monitoring period, wherein the tunnel atmospheric environment data of each monitoring period comprise internal humidity of each monitoring period, the internal humidity of the tunnel refers to percentage of moisture content of the internal environment of the tunnel, the internal temperature of each monitoring period refers to temperature of the internal environment of the tunnel, the external temperature of the tunnel refers to temperature of the external environment of the tunnel, the tunnel construction environment data of each monitoring period comprise tunnel ground water level height of each monitoring period, the tunnel ground water level height refers to the height of the ground water surface of the tunnel relative to the ground due to geographical position, geological conditions, climate and other factors, the ground surface settlement height above the tunnel of each monitoring period refers to the falling height of the ground surface above the tunnel relative to the initial position due to movement and deformation of the ground soil layer, and the internal soil humidity of each monitoring period refers to the water content of the soil inside the tunnel.
Further, the tunnel environment information set of each monitoring period is analyzed to obtain the tunnel environment monitoring evaluation value of each monitoring period, and the specific analysis process is as follows: and comprehensively analyzing the atmospheric environment data of each monitoring period tunnel and the construction environment data of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, wherein the environment monitoring evaluation values of each monitoring period tunnel are used as analysis basis of deformation pressure-bearing evaluation deviation values of each monitoring period tunnel.
It should be explained that, the above-mentioned each monitoring period tunnel environment monitoring evaluation value is through analyzing each monitoring period tunnel environment information set, carry out comprehensive analysis to each monitoring period tunnel atmospheric environment data and each monitoring period tunnel construction environment data, help making the operation and maintenance strategy, for example, according to atmospheric environment data, can predict the inside life-span of tunnel and maintenance demand, through construction environment data, can adjust the maintenance plan in order to deal with the influence of environmental change on the structure, through analyzing environment monitoring data, can ensure that tunnel engineering accords with relevant regulation, improve the compliance, in the construction process, in time know construction environment data helps adjusting the construction plan, take corresponding environmental protection measure, thereby improve the efficiency and the smooth of engineering, comprehensive analysis environment monitoring data helps discerning and managing potential environmental risk, take measures in advance and alleviate possible adverse effect.
Furthermore, the tunnel environment monitoring evaluation value of each monitoring period can be further obtained through further analysis of a machine learning integration model, the prediction results of a plurality of basic models are combined by using an integration method such as a gradient lifting tree so as to obtain more accurate communication matching values of each communication transmission link, and the more accurate communication matching values can be obtained through calculation by the following modes:
;
In the method, in the process of the invention, For the j-th monitoring period tunnel environment monitoring evaluation value,/>For the ith sampling point tunnel atmospheric environment evaluation value of the jth monitoring period,/>For the j-th monitoring period tunnel construction environment evaluation value,/>Weight factor for set tunnel atmospheric environment evaluation value,/>For the set weight factor of the tunnel construction environment evaluation value, j is the number of each monitoring period,/>,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,N is the total number of sampling points in each monitoring period.
It should be explained that, the above-mentioned tunnel environment monitoring evaluation value can provide data about surrounding environmental factors by analyzing the tunnel environment monitoring evaluation value, these factors have direct or indirect influence on deformation and bearing capacity of the tunnel structure, deformation bearing capacity of the tunnel structure can be more comprehensively evaluated, thereby making more effective monitoring and maintenance strategies, the tunnel environment monitoring evaluation value is helpful for identifying potential risk factors, and early finding environmental changes which may affect the tunnel structure, through real-time analysis of environment monitoring data, an early warning system can be established, and early prediction of possible problems can be performed, corresponding measures are taken to mitigate risks, ensure safety of the tunnel structure, through analysis of the tunnel environment monitoring evaluation value, characteristics and change rules of the tunnel surrounding environment can be better understood, important references are provided for design and construction of the tunnel, in the design stage, reasonable adjustment can be performed according to the environment monitoring data, adaptability and stability of the structure are improved, in the construction stage, the construction scheme can be adjusted in real time according to the environment monitoring data, influence of adverse environment factors on construction quality and progress are reduced.
In a specific embodiment, the calculation formula of the tunnel atmospheric environment evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel atmospheric environment evaluation value of the jth monitoring period,/>For the jth monitoring period, the humidity in the tunnel at the ith sampling point,/>For the jth monitoring period, the temperature in the tunnel at the ith sampling point,/>For the jth monitoring period, the temperature outside the tunnel at the ith sampling point,/>For the tunnel interior reference humidity stored in the tunnel database,For the reference temperature inside the tunnel stored in the tunnel database,/>For the tunnel external reference temperature stored in the tunnel database,/>For the set compensation factor of the tunnel interior humidity,/>For the compensation factor of the set tunnel internal temperature,/>For the compensation factor of the set tunnel outside temperature,/>The j is the number of each monitoring period and is the correction factor of the set tunnel atmospheric environment evaluation value,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,N is the total number of sampling points in each monitoring period.
The method is characterized in that the atmospheric environment assessment value of each monitoring period tunnel is obtained by calculating the internal humidity of each monitoring period tunnel, the internal temperature of each monitoring period tunnel and the external temperature of each monitoring period tunnel, and the like, and factors such as the internal humidity of each monitoring period tunnel, the internal temperature of each monitoring period tunnel, the external temperature of each monitoring period tunnel and the like are comprehensively considered, so that the atmospheric environment condition of the tunnel can be more comprehensively assessed, more accurate and objective environmental data can be obtained, more reliable basis is provided for environmental management and measures, the internal humidity and the temperature are important factors which directly influence the comfort and the safety of a tunnel user, the factors are considered in the assessment, the actual use environment can be better reflected, guidance is provided for improving user experience, the factors such as the internal and external temperature and the humidity are comprehensively considered, the change trend of environmental parameters can be analyzed, the complex interrelation exists between the factors such as the internal and external temperature and the external temperature can be improved, the environmental assessment can be improved, the environmental management and the safety can be better considered, the environmental management and the environmental parameters can be better estimated, the environmental management and the environmental parameters can be better considered, the environmental management and the environmental parameters can be better estimated and more comprehensively, the environmental parameters can be better considered, the environmental management and the environmental parameters can be better, the environmental parameters can be better estimated and better, and the environmental parameters can be better estimated, and better.
In a specific embodiment, the calculation formula of the evaluation value of the tunnel construction environment in each monitoring period is as follows:
In the method, in the process of the invention, For the j-th monitoring period tunnel construction environment evaluation value,/>For j-th monitoring period tunnel ground water level height,/>For the j-th monitoring of the surface subsidence height above the periodic tunnel,/>For the j-th monitoring period, the soil humidity in the tunnel is detected,/>For the reference height of tunnel groundwater level stored in tunnel database,/>Reference height for surface subsidence above tunnels stored in a tunnel database,/>For soil reference humidity in tunnel stored in tunnel database,/>For the compensation factor of the set tunnel underground water level height,/>For the compensation factor of the surface subsidence height above the set tunnel,/>Is a compensation factor of the soil humidity in the set tunnel,/>For the correction factor of the set tunnel construction environment evaluation value, j is the number of each monitoring period,/>, and,/>To monitor the total number of cycles.
It should be explained that the above-mentioned evaluation value of the construction environment of each monitoring period tunnel is obtained by calculating the ground surface subsidence height above each monitoring period tunnel and the soil humidity inside each monitoring period tunnel, comprehensively considering the factors such as the ground surface subsidence height above each monitoring period tunnel and the soil humidity inside each monitoring period tunnel, the influence of tunnel construction on the underground environment can be evaluated more comprehensively, which is helpful for obtaining more accurate and more comprehensive underground environment data, providing more reliable basis for underground engineering construction and environment management, monitoring the change of the ground surface level can discover and control abnormal fluctuation of the ground surface water level which possibly occurs in time, the tunnel construction can cause ground surface subsidence, influence the utilization of surrounding ground surface facilities and the soil, the ground surface subsidence situation can be discovered and evaluated in time by monitoring the ground surface subsidence height, providing basis for taking corresponding preventive and remedial measures, reducing adverse effects on the surrounding environment, the factors such as the ground surface water level height and the soil humidity are closely related to the safety of the tunnel structure, the design of the tunnel and the change of the factors and the factors can be considered, the importance of the safety and the reliability of the construction environment is improved, the reliability is guaranteed, the operation is guaranteed, the reliability is guaranteed, the operation is guaranteed and the comprehensive evaluation result is guaranteed, the comprehensive evaluation of the reliability is guaranteed, the evaluation of the reliability and the safety is guaranteed, and the reliability is guaranteed, the comprehensive evaluation of the ground environment is guaranteed, and the safety is guaranteed.
Specifically, the environment monitoring evaluation values of the tunnels in each monitoring period are imported into a tunnel deformation bearing capacity evaluation model, and the deformation bearing capacity evaluation deviation values of the tunnels in each monitoring period are obtained through comparison, wherein the specific analysis process is as follows: and importing the environment monitoring evaluation values of each monitoring period tunnel into a tunnel deformation bearing capacity evaluation model to obtain deformation bearing evaluation characteristic values of each monitoring period tunnel, wherein the deformation bearing evaluation characteristic values of each monitoring period tunnel are used as analysis basis of the deformation bearing evaluation deviation values of each monitoring period tunnel.
And comparing the deformation and bearing evaluation characteristic values of each monitoring period tunnel with the deformation and bearing evaluation deviation values of the monitoring period tunnel corresponding to the deformation and bearing evaluation characteristic values of each monitoring period tunnel stored in the database to obtain deformation and bearing evaluation deviation values of each monitoring period tunnel, wherein the deformation and bearing evaluation deviation values of each monitoring period tunnel are used as analysis basis of the deformation and bearing evaluation prediction values of each monitoring period tunnel.
Further, the obtained deformation and bearing evaluation deviation values of each monitoring period tunnel and the obtained deformation and bearing evaluation values of each monitoring period tunnel are subjected to data integration to obtain the deformation and bearing evaluation predicted values of each monitoring period tunnel, and the specific analysis process is as follows: the obtained tunnel deformation pressure-bearing evaluation deviation values of each monitoring periodAnd corresponding monitoring period tunnel deformation bearing evaluation value/>Data integration is carried out, and the integrated data are marked as the predicted value/>, of the deformation and bearing evaluation of the tunnel in each monitoring periodThe specific process of data integration is/>
In a specific embodiment, the tunnel deformation load bearing capacity assessment model is:
In the method, in the process of the invention, For j-th monitoring period tunnel deformation bearing evaluation characteristic value,/>For the j-th monitoring period tunnel environment monitoring evaluation value,/>Compensation factor for set tunnel environment monitoring evaluation value,/>For the correction factor of the set tunnel deformation bearing evaluation characteristic value, j is the number of each monitoring period,/>, and,/>For monitoring the total number of cycles, e is a natural constant.
It should be explained that the characteristic value of the tunnel deformation pressure-bearing evaluation is obtained by calculating the tunnel environment monitoring evaluation value, is used as an analysis basis of the tunnel deformation pressure-bearing evaluation deviation value, is beneficial to accurately evaluating the tunnel deformation pressure-bearing, and further obtains a more accurate tunnel deformation pressure-bearing evaluation deviation value by performing a comparison.
And carrying out early warning management and control prompt on the deformation bearing capacity of the tunnel structure based on the tunnel deformation bearing evaluation predicted value of each monitoring period.
Specifically, based on the estimated value of the deformation bearing of the tunnel in each monitoring period, the deformation bearing capacity of the tunnel structure is subjected to early warning, management and control prompt, and the specific analysis process is as follows: and comparing the tunnel deformation pressure-bearing evaluation predicted value of each monitoring period with the tunnel deformation pressure-bearing evaluation reference value stored in the database.
If the estimated value of the deformation and pressure bearing of the monitoring period tunnel is higher than the estimated reference value of the deformation and pressure bearing of the tunnel stored in the database, the deformation and pressure bearing of the monitoring period tunnel is recorded as the deformation and pressure bearing of the safety monitoring period tunnel, and the safety qualification prompt is carried out on the deformation and pressure bearing of the monitoring period tunnel.
If the estimated value of the deformation pressure of the monitoring period tunnel is equal to the estimated reference value of the deformation pressure of the tunnel stored in the database, the deformation pressure of the monitoring period tunnel is recorded as the deformation pressure of the risk monitoring period tunnel, and the deformation pressure of the monitoring period tunnel is subjected to risk early warning prompt.
If the estimated value of the deformation pressure of the monitoring period tunnel is lower than the estimated reference value of the deformation pressure of the tunnel stored in the database, the deformation pressure of the monitoring period tunnel is recorded as the deformation pressure of the dangerous monitoring period tunnel, and the deformation pressure of the monitoring period tunnel is subjected to dangerous early warning prompt.
It should be explained that, by providing the method and the system for monitoring the deformation bearing capacity of the tunnel structure, by establishing a reasonable tunnel environment information set, comprehensively and accurately evaluating the stability and the bearing capacity of the tunnel structure, establishing a tunnel deformation bearing capacity evaluation model, considering the deviation caused by the tunnel environment information set to the tunnel structure deformation bearing capacity evaluation, the health condition of the tunnel structure can be evaluated more accurately, the factors which possibly affect the bearing capacity of the structure can be found, the influence of various environment factors on the tunnel structure can be considered more comprehensively by establishing an exhaustive environment information set, thereby reducing the uncertainty and the error of the evaluation, improving the accuracy and the reliability of the evaluation, integrating the tunnel environment information, forming the prediction of the possible future change, helping to evaluate the long-term structure health condition, finding the potential problem early, taking preventive measures, reducing the future risk, better understanding the running environment of the tunnel, reducing unnecessary maintenance and repair work, reducing the maintenance cost and ensuring the effective utilization of resources.
Referring to fig. 2, the second aspect of the present invention provides a system for monitoring deformation bearing capacity of a tunnel structure, which includes a tunnel deformation bearing evaluation value obtaining module, a tunnel deformation bearing evaluation prediction value obtaining module, an early warning management and control prompting module, and a tunnel database, wherein: the tunnel deformation bearing evaluation value acquisition module is used for acquiring each monitoring period tunnel bearing data set, and analyzing the acquired each monitoring period tunnel bearing data set to obtain each monitoring period tunnel deformation bearing evaluation value.
The tunnel deformation pressure-bearing evaluation prediction value acquisition module is used for acquiring environment information sets of each monitoring period tunnel, analyzing the environment information sets of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, importing the environment monitoring evaluation values of each monitoring period tunnel into the tunnel deformation bearing capacity evaluation model, comparing to obtain deformation pressure-bearing evaluation deviation values of each monitoring period tunnel, and integrating the obtained deformation pressure-bearing evaluation deviation values of each monitoring period tunnel and the deformation pressure-bearing evaluation values of each monitoring period tunnel to obtain deformation pressure-bearing evaluation prediction values of each monitoring period tunnel.
And the early warning management and control prompt module is used for carrying out early warning management and control prompt on the deformation bearing capacity of the tunnel structure based on the deformation bearing evaluation predicted value of the tunnel in each monitoring period.
The tunnel database is used for storing the tunnel deformation bearing evaluation deviation value, the tunnel deformation bearing evaluation reference value, the tunnel definition bearing pressure area, the tunnel ground reference friction coefficient, the tunnel bottom subsidence definition distance, the reference distance from the tunnel vault to the bottom, the tunnel vault definition thickness, the tunnel internal reference humidity, the tunnel internal reference temperature, the tunnel external reference temperature, the tunnel groundwater level reference height, the ground surface subsidence reference height above the tunnel and the tunnel internal soil reference humidity of each monitoring period tunnel deformation bearing evaluation characteristic value corresponding to each monitoring period.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.

Claims (10)

1. The tunnel structure deformation bearing capacity monitoring method is characterized by comprising the following steps of:
Acquiring pressure-bearing data sets of each monitoring period tunnel, and analyzing the acquired pressure-bearing data sets of each monitoring period tunnel to obtain deformation pressure-bearing evaluation values of each monitoring period tunnel;
Acquiring environment information sets of each monitoring period tunnel, analyzing the environment information sets of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, importing the environment monitoring evaluation values of each monitoring period tunnel into a tunnel deformation bearing capacity evaluation model, comparing to obtain deformation bearing evaluation deviation values of each monitoring period tunnel, and integrating the obtained deformation bearing evaluation deviation values of each monitoring period tunnel and the deformation bearing evaluation values of each monitoring period tunnel to obtain deformation bearing evaluation prediction values of each monitoring period tunnel;
And carrying out early warning management and control prompt on the deformation bearing capacity of the tunnel structure based on the tunnel deformation bearing evaluation predicted value of each monitoring period.
2. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: the method comprises the steps of obtaining pressure bearing data sets of each monitoring period tunnel, analyzing the obtained pressure bearing data sets of each monitoring period tunnel to obtain deformation pressure bearing evaluation values of each monitoring period tunnel, wherein the specific analysis process is as follows:
acquiring pressure-bearing data sets of each monitoring period tunnel, wherein the pressure-bearing data sets of each monitoring period tunnel comprise pressure-bearing values of each monitoring period tunnel, pressure-bearing areas of each monitoring period tunnel and ground friction coefficients of each monitoring period tunnel, and the deformation data sets of each monitoring period tunnel comprise sinking distances of bottoms of each monitoring period tunnel, distances from vaults to bottoms of each monitoring period tunnel and vault thicknesses of each monitoring period tunnel;
And comprehensively analyzing the obtained pressure-bearing data of each monitoring period tunnel and the deformation data of each monitoring period tunnel to obtain pressure-bearing evaluation values of each monitoring period tunnel, wherein the pressure-bearing evaluation values of each monitoring period tunnel are used as analysis basis of the pressure-bearing evaluation prediction values of each monitoring period tunnel.
3. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: the method comprises the steps of acquiring environment information sets of tunnels of each monitoring period, and specifically comprises atmospheric environment data of the tunnels of each monitoring period and construction environment data of the tunnels of each monitoring period, wherein the atmospheric environment data of the tunnels of each monitoring period comprise internal humidity of the tunnels of each monitoring period, internal temperature of the tunnels of each monitoring period and external temperature of the tunnels of each monitoring period, and the construction environment data of the tunnels of each monitoring period comprise underground water level height of the tunnels of each monitoring period, ground surface settlement height above the tunnels of each monitoring period and soil humidity inside the tunnels of each monitoring period.
4. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: the tunnel environment information set of each monitoring period is analyzed to obtain the tunnel environment monitoring evaluation value of each monitoring period, and the specific analysis process is as follows:
and comprehensively analyzing the atmospheric environment data of each monitoring period tunnel and the construction environment data of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, wherein the environment monitoring evaluation values of each monitoring period tunnel are used as analysis basis of deformation pressure-bearing evaluation deviation values of each monitoring period tunnel.
5. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: the tunnel environment monitoring evaluation values of each monitoring period are imported into a tunnel deformation bearing capacity evaluation model, and the tunnel deformation bearing capacity evaluation deviation values of each monitoring period are obtained through comparison, wherein the concrete analysis process is as follows:
The environment monitoring evaluation values of the tunnel in each monitoring period are led into a tunnel deformation bearing capacity evaluation model to obtain deformation bearing evaluation characteristic values of the tunnel in each monitoring period, and the deformation bearing evaluation characteristic values of the tunnel in each monitoring period are used as analysis basis of the deformation bearing evaluation deviation values of the tunnel in each monitoring period;
and comparing the deformation and bearing evaluation characteristic values of each monitoring period tunnel with the deformation and bearing evaluation deviation values of the monitoring period tunnel corresponding to the deformation and bearing evaluation characteristic values of each monitoring period tunnel stored in the database to obtain deformation and bearing evaluation deviation values of each monitoring period tunnel, wherein the deformation and bearing evaluation deviation values of each monitoring period tunnel are used as analysis basis of the deformation and bearing evaluation prediction values of each monitoring period tunnel.
6. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: the obtained deformation and bearing evaluation deviation values of each monitoring period tunnel and the obtained deformation and bearing evaluation values of each monitoring period tunnel are subjected to data integration to obtain the deformation and bearing evaluation predicted values of each monitoring period tunnel, and the specific analysis process is as follows:
And carrying out data integration on the obtained deformation and bearing evaluation deviation value of each monitoring period tunnel and the corresponding deformation and bearing evaluation value of each monitoring period tunnel, and marking the integrated data as the deformation and bearing evaluation prediction value of each monitoring period tunnel.
7. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: based on the tunnel deformation bearing evaluation predicted value of each monitoring period, the tunnel structure deformation bearing capacity is subjected to early warning management and control prompt, and the concrete analysis process is as follows:
Comparing the tunnel deformation bearing evaluation predicted value of each monitoring period with the tunnel deformation bearing evaluation reference value stored in the database;
If the estimated value of the deformation pressure of the monitoring period tunnel is higher than the estimated reference value of the deformation pressure of the tunnel stored in the database, the deformation pressure of the monitoring period tunnel is recorded as the deformation pressure of the safety monitoring period tunnel, and the deformation pressure of the monitoring period tunnel is subjected to safety qualification prompt;
If the estimated value of the deformation pressure of the monitoring period tunnel is equal to the estimated reference value of the deformation pressure of the tunnel stored in the database, the deformation pressure of the monitoring period tunnel is recorded as the deformation pressure of the risk monitoring period tunnel, and the deformation pressure of the monitoring period tunnel is subjected to risk early warning prompt;
If the estimated value of the deformation pressure of the monitoring period tunnel is lower than the estimated reference value of the deformation pressure of the tunnel stored in the database, the deformation pressure of the monitoring period tunnel is recorded as the deformation pressure of the dangerous monitoring period tunnel, and the deformation pressure of the monitoring period tunnel is subjected to dangerous early warning prompt.
8. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: the specific calculation formula of the tunnel deformation bearing evaluation value of each monitoring period is as follows:
In the method, in the process of the invention, For the j-th monitoring period tunnel deformation bearing evaluation value,/>For the ith sampling point tunnel bearing evaluation value of the jth monitoring period,/>For the ith sampling point tunnel deformation evaluation value of the jth monitoring period,/>For the weight factor of the set tunnel bearing evaluation value,/>For the set weight factor of the tunnel deformation evaluation value, j is the number of each monitoring period,/>, andFor the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period;
The calculation formula of the tunnel pressure-bearing evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel bearing evaluation value of the jth monitoring period,/>Pressure value born by the tunnel at the ith sampling point in the jth monitoring period,/>Pressure bearing area of tunnel at ith sampling point for jth monitoring period,/>For the tunnel ground friction coefficient of the ith sampling point of the jth monitoring period,/>Defining bearing pressure values for tunnels stored in a tunnel database,/>Defining a pressure bearing area for a tunnel stored in a tunnel database,/>Reference friction coefficient for tunnel floor stored in tunnel database,/>For a compensation factor of the set tunnel withstand pressure value,/>For the compensation factor of the set tunnel bearing pressure area,/>For the compensation factor of the friction coefficient of the tunnel ground, j is the number of each monitoring period,/>, and,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period, and e is a natural constant;
the calculation formula of the tunnel deformation evaluation value of each sampling point in each monitoring period is as follows:
In the method, in the process of the invention, For the ith sampling point tunnel deformation evaluation value of the jth monitoring period,/>For the j-th monitoring period, i-th sampling point tunnel bottom sinking distance,/>For the jth monitoring period, the distance from the tunnel vault to the bottom of the ith sampling point,/>For the ith sampling point tunnel vault thickness of the jth monitoring period,/>Define a distance for tunnel bottom subsidence stored in a tunnel database,/>For the reference distance of tunnel vault to bottom stored in tunnel database,/>Defining a thickness for a tunnel vault stored in a tunnel database,/>Is a compensation factor of the set tunnel bottom subsidence distance,/>Compensation factor for the set tunnel dome to bottom distance,/>For a compensation factor of the set tunnel vault thickness, j is the number of each monitoring period,,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period.
9. The method for monitoring deformation bearing capacity of tunnel structure according to claim 1, wherein: the specific calculation formula of the tunnel environment monitoring evaluation value of each monitoring period is as follows:
In the method, in the process of the invention, For the j-th monitoring period tunnel environment monitoring evaluation value,/>For the ith sampling point tunnel atmospheric environment evaluation value of the jth monitoring period,/>For the j-th monitoring period tunnel construction environment evaluation value,/>Weight factor for set tunnel atmospheric environment evaluation value,/>For the set weight factor of the tunnel construction environment evaluation value, j is the number of each monitoring period,/>,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period;
the calculation formula of the tunnel atmospheric environment evaluation value of each sampling point in each monitoring period is as follows:
in the/> For the ith sampling point tunnel atmospheric environment evaluation value of the jth monitoring period,/>For the jth monitoring period, the humidity in the tunnel at the ith sampling point,/>For the jth monitoring period, the temperature in the tunnel at the ith sampling point,/>For the jth monitoring period, the temperature outside the tunnel at the ith sampling point,/>For the internal reference humidity of tunnels stored in tunnel database,/>For the tunnel internal reference temperature stored in the tunnel database,For the tunnel external reference temperature stored in the tunnel database,/>For the set compensation factor of the tunnel interior humidity,/>For the compensation factor of the set tunnel internal temperature,/>For the compensation factor of the set tunnel outside temperature,/>The j is the number of each monitoring period and is the correction factor of the set tunnel atmospheric environment evaluation value,/>For the total number of monitoring periods, i is the number of each sampling point in each monitoring period,/>N is the total number of sampling points in each monitoring period;
The calculation formula of the evaluation value of the tunnel construction environment in each monitoring period is as follows:
in the/> For the j-th monitoring period tunnel construction environment evaluation value,/>For j-th monitoring period tunnel ground water level height,/>For the j-th monitoring of the surface subsidence height above the periodic tunnel,/>For the j-th monitoring period, the soil humidity in the tunnel is detected,/>For the reference height of tunnel groundwater level stored in tunnel database,/>Reference height for surface subsidence above tunnels stored in a tunnel database,/>For soil reference humidity in tunnel stored in tunnel database,/>For the compensation factor of the set tunnel underground water level height,/>For the compensation factor of the surface subsidence height above the set tunnel,/>Is a compensation factor of the soil humidity in the set tunnel,/>For the correction factor of the set tunnel construction environment evaluation value, j is the number of each monitoring period,/>, and,/>To monitor the total number of cycles.
10. The tunnel structure deformation bearing capacity monitoring system is characterized by comprising a tunnel deformation bearing evaluation value acquisition module, a tunnel deformation bearing evaluation prediction value acquisition module, an early warning management and control prompt module and a tunnel database, wherein:
The tunnel deformation bearing evaluation value acquisition module is used for acquiring each monitoring period tunnel bearing data set, and analyzing the acquired each monitoring period tunnel bearing data set to obtain each monitoring period tunnel deformation bearing evaluation value;
The tunnel deformation pressure-bearing evaluation prediction value acquisition module is used for acquiring environment information sets of each monitoring period tunnel, analyzing the environment information sets of each monitoring period tunnel to obtain environment monitoring evaluation values of each monitoring period tunnel, importing the environment monitoring evaluation values of each monitoring period tunnel into the tunnel deformation bearing capacity evaluation model, comparing to obtain deformation pressure-bearing evaluation deviation values of each monitoring period tunnel, and integrating the obtained deformation pressure-bearing evaluation deviation values of each monitoring period tunnel with the deformation pressure-bearing evaluation values of each monitoring period tunnel to obtain deformation pressure-bearing evaluation prediction values of each monitoring period tunnel;
The early warning management and control prompting module is used for carrying out early warning management and control prompting on the deformation bearing capacity of the tunnel structure based on the deformation bearing evaluation predicted value of the tunnel in each monitoring period;
the tunnel database is used for storing the deformation pressure-bearing evaluation deviation value and the tunnel deformation pressure-bearing evaluation reference value of each monitoring period tunnel corresponding to the deformation pressure-bearing evaluation characteristic value of each monitoring period tunnel.
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