CN116776553A - Method and device for controlling deformation of shield construction earth surface based on digital twin - Google Patents
Method and device for controlling deformation of shield construction earth surface based on digital twin Download PDFInfo
- Publication number
- CN116776553A CN116776553A CN202310560559.9A CN202310560559A CN116776553A CN 116776553 A CN116776553 A CN 116776553A CN 202310560559 A CN202310560559 A CN 202310560559A CN 116776553 A CN116776553 A CN 116776553A
- Authority
- CN
- China
- Prior art keywords
- shield construction
- construction
- shield
- digital
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 193
- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000004044 response Effects 0.000 claims abstract description 29
- 230000006870 function Effects 0.000 claims abstract description 15
- 238000013507 mapping Methods 0.000 claims abstract description 15
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 13
- 230000002787 reinforcement Effects 0.000 claims abstract description 12
- 230000009471 action Effects 0.000 claims abstract description 10
- 230000003993 interaction Effects 0.000 claims abstract description 4
- 238000004088 simulation Methods 0.000 claims description 21
- 239000002689 soil Substances 0.000 claims description 17
- 238000003860 storage Methods 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 13
- 239000013598 vector Substances 0.000 claims description 11
- 238000009412 basement excavation Methods 0.000 claims description 10
- 238000006073 displacement reaction Methods 0.000 claims description 9
- 238000005259 measurement Methods 0.000 claims description 9
- 238000013461 design Methods 0.000 claims description 8
- 230000002068 genetic effect Effects 0.000 claims description 8
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 239000000463 material Substances 0.000 claims description 6
- 239000011148 porous material Substances 0.000 claims description 6
- 230000005641 tunneling Effects 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 5
- 230000015572 biosynthetic process Effects 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 3
- 238000009933 burial Methods 0.000 claims description 3
- 238000009826 distribution Methods 0.000 claims description 3
- 239000000835 fiber Substances 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 description 10
- 238000012544 monitoring process Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000002002 slurry Substances 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000004836 empirical method Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000012549 training Methods 0.000 description 2
- 229910000831 Steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000002706 hydrostatic effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
Landscapes
- Excavating Of Shafts Or Tunnels (AREA)
Abstract
The invention discloses a method and a device for controlling deformation of shield construction earth surface based on digital twinning, comprising the following steps: s1, constructing an initial shield construction digital model according to site shield construction data; s2, acquiring on-site shield construction control parameters and stratum response data caused by on-site shield construction in real time, and updating the shield construction digital model constructed in the step S1, so as to obtain a mapping relation between the shield construction digital model and the shield construction control parameters; and step S3, based on the mapping relation between the shield construction digital model and the shield construction control parameters, using a reinforcement learning algorithm to take the shield construction digital model as an interaction environment of reinforcement learning, taking a construction parameter set as an action space, and taking a return function as ground surface deformation, so that the ground surface deformation is minimum, and determining an optimal construction parameter action sequence.
Description
Technical Field
The invention relates to the technical field of civil engineering monitoring, in particular to a method and a device for controlling deformation of shield construction earth surface based on digital twinning.
Background
Urban rail transit in China is in a rapid development stage. The shield construction technology is widely applied to urban underground track traffic construction. The shield construction inevitably causes disturbance to surrounding soil mass, thereby causing surface deformation. Excessive surface deformation can cause uneven settlement, wall cracking and other diseases of the existing building. In the eastern coastal soft soil area of China, the soil condition is poor, the urban environment is sensitive to engineering construction, and the control requirement of the micro-deformation of the earth surface is not easily met by the existing earth surface deformation technology caused by the shield construction.
At present, the technology for controlling the earth surface deformation caused by shield construction mainly comprises on-site monitoring, an empirical method, an analytical method, an indoor model test and a numerical method. The field monitoring belongs to post-hoc control, and prediction and evaluation of earth surface deformation caused by shield construction are not easy to realize only by using measured data; the influence of complex engineering geological conditions, construction process, construction parameters and other factors on the surface deformation is not easy to consider by an empirical method; the analytic method is based on the linear elasticity theory, so that the mechanical properties and the calculation model of the rock-soil material are simplified to different degrees, and the actual shield construction process is not easy to simulate; the model in the indoor model test is difficult to manufacture, and the similarity ratio of the model is not easy to meet the specified requirement; the calculation accuracy of the numerical method depends on the coincidence degree of the digital model and the actual engineering, and the optimization and adjustment of the shield construction control parameters are not easy to realize.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a device for controlling the deformation of the shield construction earth surface based on digital twinning.
According to a first aspect of an embodiment of the present invention, there is provided a method for controlling deformation of a shield construction earth surface based on digital twinning, the method comprising:
s1, constructing an initial shield construction digital model according to site shield construction data;
s2, acquiring on-site shield construction control parameters and stratum response data caused by on-site shield construction in real time, and updating the shield construction digital model constructed in the step S1, so as to obtain a mapping relation between the shield construction digital model and the shield construction control parameters;
and step S3, based on the mapping relation between the shield construction digital model and the shield construction control parameters, using a reinforcement learning algorithm to take the shield construction digital model as an interaction environment of reinforcement learning, taking a construction parameter set as an action space, and taking a return function as ground surface deformation, so that the ground surface deformation is minimum, and determining an optimal construction parameter action sequence.
Further, the shield construction digital model includes:
the shield construction parameter storage module is used for recording construction parameters of the on-site shield construction engineering in real time;
the stratum response data storage module is used for storing stratum response data in the shield construction process for implementing acquisition;
the digital simulation module is used for extracting basic attribute information reflecting real objects including geometric dimensions, material attributes and mechanical attributes from design data, geological data, shield construction parameters, surrounding environments and the like of on-site shield construction engineering and converting the basic attribute information into corresponding models one by one.
Further, the construction parameters of the site shield construction project comprise tunneling speed, cutter head torque, supporting pressure and grouting pressure.
Further, stratum response data in the shield construction process comprises pore water pressure, vertical displacement of the earth surface and horizontal displacement of the deep layer.
Further, stratum response data in the shield construction process is measured by a pore water pressure gauge, a fiber bragg grating hydrostatic level monitor and a deep level displacement monitor.
Further, the digital simulation module includes:
establishing a geometric model according to the burial depth, the design size and the soil layer distribution of the planned tunnel;
according to soil parameters, lining structures, bolt connection, splicing modes and longitudinal linearity, selecting a mechanism model capable of reflecting the working performance of the lining segments by combining a lining segment model test, and establishing an attribute model;
according to the support of the shield excavation face, soil excavation, lining installation and shield tail grouting, a working condition simulation model is established;
according to the actual condition of the tunnel to be built, an environment simulation model is built; the actual condition of the planned tunnel is that the pit is excavated nearby, history protection buildings are traversed and/or existing tunnels are traversed.
And integrating the geometric model, the attribute model, the working condition simulation model and the environment simulation model to form a digital simulation module in the initial shield construction digital model.
Further, the step S2 includes the following sub-steps:
step S201, taking minimizing the surface subsidence as an objective function OBJ (x), the expression is as follows:
wherein n represents the total number of measurement points, i represents the ith measurement point, f i Predicted value of formation response data representing ith measuring point, f i,exp A true value of formation response data representing an ith measurement point;
step S202, acquiring real values of shield construction parameters, adjacent engineering construction conditions and earth surface subsidence caused by shield construction in real time, inputting the real values into the initial shield construction digital model constructed in the step S1, and outputting earth surface subsidence predicted values by the shield construction digital model;
and step S203, repeating the step S202, comparing the ground subsidence predicted value with the ground subsidence true value by utilizing a genetic algorithm, and obtaining the mapping relation between the shield construction digital model and the shield construction control parameters according to the objective function set in the step S201.
Further, the step S3 includes:
under the constraint condition of a given earth surface subsidence target, the mapping relation between the shield construction digital model and the shield construction control parameters is based; randomly generating a plurality of groups of construction parameter combination vectors, and inputting the construction parameter combination vectors into a neural network to obtain earth surface subsidence; and adjusting the input construction parameter combination vector by using a genetic algorithm to optimize, and taking the construction parameter combination vector corresponding to the minimum surface subsidence as an optimal construction parameter action sequence.
According to a second aspect of the embodiment of the invention, a control device for the deformation of the shield construction earth surface based on digital twinning is provided, which comprises one or more processors and is used for realizing the control method for the deformation of the shield construction earth surface based on digital twinning.
According to a third aspect of the embodiment of the present invention, there is provided a computer readable storage medium having a program stored thereon, wherein the program is for implementing the above-mentioned method for controlling deformation of a shield construction earth surface based on digital twinning when executed by a processor.
Compared with the prior art, the invention has the beneficial effects that:
based on the digital twinning concept, the invention realizes virtual-real synchronization by creating the shield construction digital model on the information platform and completing the mapping relation with the on-site shield construction engineering in the virtual space. The on-site shield construction engineering is a part of 'real' in virtual-real synchronization, and the shield construction digital model is a part of 'virtual' in virtual-real synchronization.
The method utilizes reinforcement learning, aims at minimizing stratum deformation caused by shield construction, analyzes rules between shield construction parameters and stratum response data caused by shield construction, and accordingly continuously optimizes and adjusts construction control parameters; and inputting the construction control parameters obtained through reinforcement learning into a shield construction digital model to predict stratum deformation, and determining the most reasonable shield construction control parameters through iteration.
The invention has the characteristics of real-time, dynamic, multidirectional transmission, high fidelity, closed loop and the like, on one hand, the state parameters of the on-site shield construction engineering can be effectively transferred to the shield construction digital model, and the synchronism of the digital model and the actual state is ensured; on the other hand, stratum response data and shield construction control parameters obtained through analysis of the shield construction digital model can be fed back to the site shield construction engineering, so that the site shield construction engineering is adjusted.
The invention can provide real-time state, development trend and adjustment scheme of earth surface deformation caused by shield construction, effectively reduce disturbance of shield construction to surrounding environment, further protect existing structures and provide new possibility for digitization and automation of shield construction engineering monitoring.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of a digital simulation module in a digital model of shield construction provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of a digitalized model of shield construction provided by an embodiment of the invention;
FIG. 3 is a schematic flow chart of creating a mapping relationship between a shield construction digital model and on-site shield construction engineering according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart of obtaining optimal construction parameters according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a control device for deformation of a shield construction earth surface based on digital twinning, which is provided by the embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The features of the following examples and embodiments may be combined with each other without any conflict.
The embodiment of the invention provides a method for controlling the deformation of the earth surface of shield construction based on digital twinning, which specifically comprises the following steps:
s1, constructing an initial shield construction digital model according to on-site shield construction data.
The shield construction digital model comprises a shield construction parameter storage module, a stratum response data storage module and a digital simulation module.
The shield construction parameter storage module is used for recording various parameters of the on-site shield construction engineering in real time, such as tunneling speed, cutter head torque, supporting pressure, grouting pressure and the like.
The stratum response data storage module is used for storing stratum response data such as pore water pressure, vertical displacement of the earth surface, horizontal displacement of the deep layer and the like in the shield construction process for implementing acquisition. The stratum response data can be detected by a monitoring system consisting of a pore water pressure gauge, a fiber bragg grating static level monitoring point, deep level displacement monitoring and the like.
The digital simulation module is used for extracting relevant information reflecting basic attributes of a real object, such as geometric dimensions, material attributes, mechanical attributes and the like from design data, geological data, shield construction parameters, surrounding environments and the like of on-site shield construction engineering, and then converting the information into corresponding models one by one.
Illustratively, as shown in fig. 1, a geometric model is built according to the burial depth, design size, soil layer distribution and the like of a planned tunnel; the method comprises the steps of selecting a mechanism model capable of reflecting the working performance of a lining segment by combining soil parameters, lining structures, bolting, splicing modes, longitudinal linearity and other information and combining a lining segment model test, so as to establish an attribute model; the working condition simulation mainly comprises supporting of a shield excavation face, soil excavation, lining installation and shield tail grouting; and performing environmental simulation according to the actual conditions of the planned tunnel, such as excavation of a nearby foundation pit, surrounding historical protection building protection, pipeline dynamic monitoring and the like. And finally, integrating the models to form a digital simulation module in an initial shield construction digital model.
And S2, acquiring on-site shield construction control parameters and stratum response data caused by on-site shield construction in real time, and updating the shield construction digital model constructed in the step S1, so as to obtain the mapping relation between the shield construction digital model and the shield construction control parameters.
Specifically, as shown in fig. 2, the step S2 specifically includes the following substeps:
step S201, taking minimizing the surface subsidence as an objective function OBJ (x), the expression is as follows:
wherein n represents the total number of measurement points, i represents the ith measurement point, f i Representing the ground subsidence predicted value of the ith measuring point, f i,exp Representing the true value of the earth subsidence at the ith measurement point.
In this example, the objective function OBJ (x) is a mean square error loss function, and gives a higher (square) penalty to the sample points where the true value of the surface subsidence deviates from the predicted value of the surface subsidence.
Step S202, acquiring shield construction parameters, adjacent engineering construction conditions and stratum response data (namely ground subsidence actual values) caused by shield construction in real time, inputting the stratum response data into the initial shield construction digital model constructed in the step S1, and outputting predicted values (namely ground subsidence predicted values) of the stratum response data by the shield construction digital model.
Wherein, as shown in fig. 3, the simulation of shield tunnel construction in this example, outputting the ground subsidence prediction value through the shield construction digital model comprises the following steps:
step S20201, constructing a structure model of shield tunnel construction by considering boundary effect;
step S20202, simulating ground subsidence caused by a shield method by adopting an equal-generation layer method;
step S20203, simulating soil around a tunnel by adopting a mole-coulomb structure model, simulating the soil excavated during shield tunneling by adopting an empty model, and simulating a segment by adopting a linear elastic model, and adopting a shield machine steel shell and an equal generation layer;
step S20204, applying a supporting force to simulate the comprehensive acting force of mud water bin pressure, total thrust and the like on a supporting surface, and applying a grouting pressure to simulate the pressure of shield tail synchronous grouting;
step S20205, simulating the change of synchronous grouting effect by changing the parameters of the equal generation layers while the shield tunneling machine is tunneling continuously, and changing the initial slurry material parameters of one excavation cycle into the later slurry parameters (hardening) and keeping unchanged for each slurry section;
in step S20206, during the process of pushing the shield, each time an excavation cycle is performed, the material parameters at the corresponding positions are changed, for example, corresponding shield shell parameters are set around the soil body just excavated in front, so as to kill the shield shell units at the tail of the shield. Meanwhile, the load and the force at the corresponding positions are also changed to the corresponding positions along with the advancing of the excavation, so that the advancing process of the shield is simulated.
And step S203, repeating the step S202 according to the objective function set in the step S201, and comparing the stratum response data predicted value with the stratum response data true value by utilizing a genetic algorithm, so that the shield construction digital model (the imaginary part) can faithfully reflect the on-site shield construction engineering (the real part), thereby obtaining the mapping relation between the shield construction digital model and the shield construction control parameters.
Updating the shield construction digital model by using a genetic algorithm comprises the following steps: according to the principle that MSE of field actually measured stratum response data and digitized model stratum response data is minimum, stopping searching, wherein the index is that MSE is smaller than 1e-4, or the population scale is 100, and iterating algebra 5, and determining the soil body mechanical parameters.
And S3, after the updating of the shield construction digital model is completed, based on the mapping relation between the shield construction digital model and shield construction control parameters, using a reinforcement learning algorithm (A2C, DQN and PPO), taking the shield construction digital model as an interaction environment of reinforcement learning, taking a construction parameter set as an action space, and determining an optimal construction parameter action sequence with a return function of abs (surface deformation) so as to minimize the surface deformation. The standard of stopping training of reinforcement learning is that the maximum surface deformation absolute value is smaller than 1e-4m, or the training environment step number reaches 1e5.
Specifically, as shown in fig. 4, under the constraint condition of a given earth surface subsidence target, the optimal combination of construction parameters is required to be determined, the internal relation between each construction parameter and earth surface subsidence is obtained by using a reinforcement learning algorithm, and the relation between the shield construction parameters and earth surface subsidence above the tunnel axis is established. Then, a plurality of groups of construction parameter combination vectors are randomly generated, the corresponding output quantity-earth surface subsidence is obtained by utilizing a neural network, the fitness value of the output quantity is obtained by utilizing an objective function, and the input construction parameter combination vectors are adjusted by utilizing a genetic algorithm according to the fitness value. After genetic algorithm optimization, the optimal surface subsidence can be obtained, and the corresponding input vector is the optimal construction parameter combination.
Corresponding to the embodiment of the method for controlling the deformation of the shield construction earth surface based on the digital twin, the invention also provides an embodiment of a device for controlling the deformation of the shield construction earth surface based on the digital twin.
Referring to fig. 5, the device for controlling the deformation of the earth's surface of the shield construction based on digital twin provided by the embodiment of the invention comprises one or more processors, which are used for realizing the method for controlling the deformation of the earth's surface of the shield construction based on digital twin in the embodiment.
The embodiment of the invention based on the digital twin shield construction earth surface deformation control device can be applied to any equipment with data processing capability, and the equipment with data processing capability can be equipment or a device such as a computer. The apparatus embodiments may be implemented by software, or may be implemented by hardware or a combination of hardware and software. Taking software implementation as an example, the device in a logic sense is formed by reading corresponding computer program instructions in a nonvolatile memory into a memory by a processor of any device with data processing capability. In terms of hardware, as shown in fig. 5, a hardware structure diagram of an apparatus with data processing capability according to the present invention where the control device for shield construction ground surface deformation based on digital twinning is located is shown, and in addition to the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 5, any apparatus with data processing capability in the embodiment generally includes other hardware according to the actual function of the any apparatus with data processing capability, which is not described herein.
The implementation process of the functions and roles of each unit in the above device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein again.
For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments. The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present invention. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The embodiment of the invention also provides a computer readable storage medium, and a program is stored on the computer readable storage medium, and when the program is executed by a processor, the method for controlling the deformation of the shield construction earth surface based on digital twinning in the embodiment is realized.
The computer readable storage medium may be an internal storage unit, such as a hard disk or a memory, of any of the data processing enabled devices described in any of the previous embodiments. The computer readable storage medium may be any device having data processing capability, for example, a plug-in hard disk, a Smart Media Card (SMC), an SD Card, a Flash memory Card (Flash Card), or the like, which are provided on the device. Further, the computer readable storage medium may include both internal storage units and external storage devices of any data processing device. The computer readable storage medium is used for storing the computer program and other programs and data required by the arbitrary data processing apparatus, and may also be used for temporarily storing data that has been output or is to be output.
The above embodiments are merely for illustrating the design concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement the same, the scope of the present invention is not limited to the above embodiments. Therefore, all equivalent changes or modifications according to the principles and design ideas of the present invention are within the scope of the present invention.
Claims (10)
1. The method for controlling the deformation of the earth surface of the shield construction based on digital twinning is characterized by comprising the following steps:
s1, constructing an initial shield construction digital model according to site shield construction data;
s2, acquiring on-site shield construction control parameters and stratum response data caused by on-site shield construction in real time, and updating the shield construction digital model constructed in the step S1, so as to obtain a mapping relation between the shield construction digital model and the shield construction control parameters;
and step S3, based on the mapping relation between the shield construction digital model and the shield construction control parameters, using a reinforcement learning algorithm to take the shield construction digital model as an interaction environment of reinforcement learning, taking a construction parameter set as an action space, and taking a return function as ground surface deformation, so that the ground surface deformation is minimum, and determining an optimal construction parameter action sequence.
2. The method for controlling deformation of the shield construction earth surface based on digital twinning according to claim 1, wherein the shield construction digital model comprises:
the shield construction parameter storage module is used for recording construction parameters of the on-site shield construction engineering in real time;
the stratum response data storage module is used for storing stratum response data in the shield construction process for implementing acquisition;
the digital simulation module is used for extracting basic attribute information reflecting real objects including geometric dimensions, material attributes and mechanical attributes from design data, geological data, shield construction parameters, surrounding environments and the like of on-site shield construction engineering and converting the basic attribute information into corresponding models one by one.
3. The method for controlling deformation of the shield construction ground surface based on digital twinning according to claim 2, wherein the construction parameters of the on-site shield construction project comprise tunneling speed, cutter head torque, supporting pressure and grouting pressure.
4. The method for controlling deformation of the shield construction ground surface based on digital twinning according to claim 2, wherein the stratum response data in the shield construction process comprises pore water pressure, ground surface vertical displacement and deep horizontal displacement.
5. The method for controlling deformation of the shield construction ground surface based on digital twinning according to claim 2, wherein stratum response data in the shield construction process are measured by a pore water pressure gauge, a fiber bragg grating static level monitor and a deep level displacement monitor.
6. The method for controlling the deformation of the shield construction earth surface based on digital twinning according to claim 2, wherein the digital simulation module comprises:
establishing a geometric model according to the burial depth, the design size and the soil layer distribution of the planned tunnel;
according to soil parameters, lining structures, bolt connection, splicing modes and longitudinal linearity, selecting a mechanism model capable of reflecting the working performance of the lining segments by combining a lining segment model test, and establishing an attribute model;
according to the support of the shield excavation face, soil excavation, lining installation and shield tail grouting, a working condition simulation model is established;
according to the actual condition of the tunnel to be built, an environment simulation model is built; the actual condition of the planned tunnel is that the pit is excavated nearby, history protection buildings are traversed and/or existing tunnels are traversed.
And integrating the geometric model, the attribute model, the working condition simulation model and the environment simulation model to form a digital simulation module in the initial shield construction digital model.
7. The method for controlling deformation of the shield construction ground surface based on digital twinning according to claim 1, wherein the step S2 comprises the following sub-steps:
step S201, taking minimizing the surface subsidence as an objective function OBJ (x), the expression is as follows:
wherein n represents the total number of measurement points, i represents the ith measurement point, f i Predicted value of formation response data representing ith measuring point, f i,exp A true value of formation response data representing an ith measurement point;
step S202, acquiring real values of shield construction parameters, adjacent engineering construction conditions and earth surface subsidence caused by shield construction in real time, inputting the real values into the initial shield construction digital model constructed in the step S1, and outputting earth surface subsidence predicted values by the shield construction digital model;
and step S203, repeating the step S202, comparing the ground subsidence predicted value with the ground subsidence true value by utilizing a genetic algorithm, and obtaining the mapping relation between the shield construction digital model and the shield construction control parameters according to the objective function set in the step S201.
8. The method for controlling deformation of the shield construction ground surface based on digital twinning according to claim 1, wherein the step S3 comprises:
under the constraint condition of a given earth surface subsidence target, the mapping relation between the shield construction digital model and the shield construction control parameters is based; randomly generating a plurality of groups of construction parameter combination vectors, and inputting the construction parameter combination vectors into a neural network to obtain earth surface subsidence; and adjusting the input construction parameter combination vector by using a genetic algorithm to optimize, and taking the construction parameter combination vector corresponding to the minimum surface subsidence as an optimal construction parameter action sequence.
9. A control device for the deformation of the earth's surface of a shield construction based on digital twinning, which is characterized by comprising one or more processors for realizing the control method for the deformation of the earth's surface of a shield construction based on digital twinning according to any one of claims 1 to 8.
10. A computer-readable storage medium having a program stored thereon, which when executed by a processor, is for implementing the method for controlling deformation of a shield construction earth's surface based on digital twinning according to any one of claims 1 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310560559.9A CN116776553A (en) | 2023-05-18 | 2023-05-18 | Method and device for controlling deformation of shield construction earth surface based on digital twin |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310560559.9A CN116776553A (en) | 2023-05-18 | 2023-05-18 | Method and device for controlling deformation of shield construction earth surface based on digital twin |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116776553A true CN116776553A (en) | 2023-09-19 |
Family
ID=88007186
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310560559.9A Pending CN116776553A (en) | 2023-05-18 | 2023-05-18 | Method and device for controlling deformation of shield construction earth surface based on digital twin |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116776553A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116975988A (en) * | 2023-09-22 | 2023-10-31 | 天津大学 | Tunnel construction safety real-time analysis method based on digital twin model |
-
2023
- 2023-05-18 CN CN202310560559.9A patent/CN116776553A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116975988A (en) * | 2023-09-22 | 2023-10-31 | 天津大学 | Tunnel construction safety real-time analysis method based on digital twin model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Fabozzi et al. | I-BIM based approach for geotechnical and numerical modelling of a conventional tunnel excavation | |
| Zhang et al. | Prediction of lining response for twin tunnels constructed in anisotropic clay using machine learning techniques | |
| Zheng et al. | A simplified prediction method for evaluating tunnel displacement induced by laterally adjacent excavations | |
| Lai et al. | Prediction of soil deformation in tunnelling using artificial neural networks | |
| Ninić et al. | A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering | |
| Mollon et al. | Probabilistic analyses of tunneling-induced ground movements | |
| CN112052497A (en) | BIM-based pre-construction deep foundation pit simulation calculation method | |
| CN107315862B (en) | Method for establishing open cut foundation pit engineering investigation and simulation parameter relationship | |
| Zhou et al. | Hybrid support vector machine optimization model for prediction of energy consumption of cutter head drives in shield tunneling | |
| Zheng et al. | Prediction of the tunnel displacement induced by laterally adjacent excavations using multivariate adaptive regression splines | |
| Ninić et al. | Integrated parametric multi-level information and numerical modelling of mechanised tunnelling projects | |
| CN205262429U (en) | Job site earth volume survey system | |
| Zhang et al. | Analytical prediction of tunneling-induced ground movements and liner deformation in saturated soils considering influences of shield air pressure | |
| Wu et al. | Multi-level voxel representations for digital twin models of tunnel geological environment | |
| Wu et al. | Displacement-based back-analysis of the model parameters of the Nuozhadu high earth-rockfill dam | |
| Zhang et al. | Displacement back-analysis of rock mass parameters for underground caverns using a novel intelligent optimization method | |
| CN116776553A (en) | Method and device for controlling deformation of shield construction earth surface based on digital twin | |
| Tian et al. | Efficient and flexible Bayesian updating of embankment settlement on soft soils based on different monitoring datasets | |
| Li et al. | Research and application of deformation prediction model for deep foundation pit based on LSTM | |
| Li et al. | Analysis of corner effect of diaphragm wall of special-shaped foundation pit in complex stratum | |
| Chen et al. | Spatial estimation of material parameters and refined finite-element analysis of rockfill dam based on construction digitization | |
| Ren et al. | Deformation monitoring and remote analysis of ultra-deep underground space excavation | |
| He et al. | Ground load on tunnels built using new Austrian tunneling method: study of a tunnel passing through highly weathered sandstone | |
| Wang et al. | A novel method for analyzing the factors influencing ground settlement during shield tunnel construction in upper-soft and lower-hard fissured rock strata considering the coupled hydromechanical properties | |
| Wang et al. | Multiparameter inversion early warning system of tunnel stress-seepage coupling based on IA-BP algorithm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |