Tunnel structure and device selection determination method and device based on green operation

Abstract

The application provides a tunnel structure and equipment selection determination method and device based on green operation, and belongs to the field of tunnels. The method comprises the following steps: optimizing a tunnel structure based on tunnel performance and cost, optimizing equipment parameters of a ventilation equipment based on ventilation performance and cost, and then determining design parameters of the tunnel. The method can make the tunnel obtain better structural performance and ventilation performance at a lower cost.

Description

Technical Field

[0001] This application belongs to the field of tunnels, and in particular relates to a method and apparatus for determining the selection of tunnel structures and equipment based on green operation and maintenance. Background Technology

[0002] As a cross-water transportation infrastructure, the design and construction of the lake-bottom highway tunnel faces many challenges, including complex geology, high water pressure, and environmental sensitivity.

[0003] For underwater highway tunnels, the design process is particularly critical, especially the structural parameter design and equipment selection. The structural parameter design directly affects the tunnel's reliability, while the equipment selection directly affects the cost of subsequent operation and maintenance, as well as the comfort of the tunnel during operation. For example, poor ventilation will directly affect the driver's experience in the tunnel and may even pose certain safety hazards.

[0004] Therefore, it is necessary to provide a tunnel design method to determine the tunnel parameters and the equipment models used in the tunnel. Summary of the Invention

[0005] Therefore, the purpose of this application is to provide a method and apparatus for determining tunnel structure and equipment selection based on green operation and maintenance, so as to realize the automated design of tunnels, including the design of tunnel structural parameters and the selection of tunnel equipment, thereby enabling tunnels to achieve better performance at a lower cost.

[0006] Firstly, this application provides a method for determining tunnel structure and equipment selection based on green operation and maintenance, including: A finite element simulation model of the tunnel is established. The first digital twin model is used to simulate the structural parameters of the tunnel under disaster conditions and determine the structural performance of the tunnel. An optimization algorithm is used to optimize the structural parameters of the tunnel. When the iteration termination condition is met, the optimal combination of structural parameters is output as the target structural parameters. During the optimization process, the fitness value is determined based on the structural performance determined by the finite element simulation model and the cost of the combination of structural parameters. A CFD model of the tunnel is established, which is used to simulate the tunnel ventilation equipment and determine the ventilation performance of the equipment. An optimization algorithm is used to optimize the equipment parameters of the ventilation equipment in the tunnel. When the iteration termination condition is met, the optimal combination of equipment parameters of the ventilation equipment is output as the target combination of equipment parameters of the ventilation equipment. During the optimization process, the fitness value is determined based on the ventilation performance determined by the CFD model and the cost of the ventilation equipment. The determined target structural parameters and target equipment parameters of the tunnel are output as the design parameters of the tunnel.

[0007] Optionally, during the optimization of tunnel structural parameters, the structural performance of each combination of structural parameters is obtained through a tunnel structural performance determination model; the tunnel structural performance determination model is trained based on several structural samples obtained from the finite element simulation model; each structural sample includes a combination of structural parameters and the corresponding structural performance.

[0008] Optionally, during the optimization of equipment parameters of the ventilation equipment, the ventilation performance of each equipment parameter combination is obtained through the tunnel ventilation performance determination model; the tunnel ventilation performance determination model is trained based on several equipment samples obtained from CFD model simulation; each equipment sample includes the parameter combination of the ventilation equipment and the ventilation performance corresponding to the parameter combination of the ventilation equipment.

[0009] Alternatively, the process of determining the structural performance of the tunnel based on the finite element model is as follows: The structural parameters of the tunnel are combined and imported into the finite element model for simulation to obtain the maximum stress response, deformation response and internal force response of the tunnel structure. The structural performance of the tunnel is determined based on the maximum stress response, deformation response, and internal force response.

[0010] Optionally, the process of determining the ventilation performance of ventilation equipment based on a CFD model is as follows: The equipment parameters of the ventilation equipment are imported into the CFD model for simulation to obtain the safety index and flow field index of the tunnel. Based on the tunnel's safety and flow field indicators, the ventilation performance of the ventilation equipment is determined.

[0011] Optionally, during the fitness value calculation of the combination of structural parameters, the structural performance of the tunnel is inversely proportional to the cost of the combination of structural parameters.

[0012] Optionally, in the process of calculating the fitness value of the equipment parameter combination, the ventilation performance is inversely proportional to the cost of the equipment parameter combination.

[0013] Secondly, this application provides a device for determining tunnel structure and equipment selection based on green operation and maintenance, comprising: The finite element model construction module is used to establish a finite element simulation model of the tunnel. The first digital twin model is used to simulate the structural parameters of the tunnel under disaster conditions and determine the structural performance of the tunnel. The first optimization model is used to optimize the structural parameters of the tunnel using an optimization algorithm. When the iteration termination condition is met, the optimal combination of structural parameters is output as the target structural parameters. During the optimization process, the fitness value is determined based on the structural performance determined by the finite element simulation model and the cost of the combination of structural parameters. The CFD model building module is used to build a CFD model of the tunnel. The CFD model is used to simulate the tunnel ventilation equipment and determine the ventilation performance of the ventilation equipment. The second optimization module is used to optimize the equipment parameters of the ventilation equipment in the tunnel using an optimization algorithm. When the iteration termination condition is met, it outputs the optimal combination of equipment parameters of the ventilation equipment as the target combination of equipment parameters of the ventilation equipment. During the optimization process, the fitness value is determined based on the ventilation performance determined by the CFD model and the cost of the ventilation equipment. The output module is used to output the determined target structural parameters and target equipment parameters of the tunnel as the design parameters of the tunnel.

[0014] Thirdly, this application provides an electronic device, including the device for determining the tunnel structure and equipment selection based on green operation and maintenance as described above.

[0015] Fourthly, this application provides a computer-readable storage medium storing at least one piece of program code, which is executed by a processor to implement the method for determining tunnel structure and equipment selection based on green operation and maintenance as described in any of the preceding claims.

[0016] The beneficial effects of the technical solution provided in this application include: This application provides a method for determining tunnel structural parameters and equipment selection. By optimizing the tunnel structure based on tunnel performance and cost, and optimizing the equipment parameters of ventilation equipment based on ventilation performance and cost, the design parameters of the tunnel are determined. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 A flowchart illustrating a method for determining tunnel structure and equipment selection based on green operation and maintenance, provided in one embodiment of this application. Figure 2 A structural block diagram of a device for determining tunnel structure and equipment selection based on green operation and maintenance, provided in an embodiment of this application; Figure 3 This is a structural block diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0020] Figure 1 A flowchart illustrating a method for determining tunnel structure and equipment selection based on green operation and maintenance, provided in one embodiment of this application. See also... Figure 1 ,include: S101. Establish a finite element simulation model of the tunnel. The first digital twin model is used to simulate the structural parameters of the tunnel under disaster conditions and determine the structural performance of the tunnel.

[0021] In some examples, step S101 is performed as follows: Step 1: Parametric modeling (Input).

[0022] In finite element software (such as ABAQUS and ANSYS), the geometric and material parameters of the lake bottom tunnel are defined as variables rather than fixed values.

[0023] Design variables (x): lining thickness, lining elastic modulus, segment width, and steel reinforcement ratio.

[0024] Random variables (θ): soil elastic modulus, water pressure, seismic load.

[0025] Step 2: Definition of loads and operating conditions.

[0026] Static load conditions: earth pressure (considering soil-structure interaction), water pressure (total head), self-weight, and vehicle load.

[0027] Disaster conditions: Earthquake: Response displacement method or time history analysis method is used.

[0028] Step 3: Output the response. After simulation calculation, key performance indicators (Performance Functions) are extracted: Stress response: Maximum principal stress of the lining. Deformation response: Vertical convergence of the tunnel and segment opening. Internal force response: Bending moment and axial force.

[0029] The above simulation process is implemented through automated scripts: scripts are written using Python or MATLAB to call batch processing commands of the FEA software, thereby automating the entire process of "inputting variables → running simulation → extracting results".

[0030] After obtaining the key performance indicators of the tunnel, the structural performance of the tunnel is determined.

[0031] In some examples, the process of determining the structural performance of a tunnel based on a finite element model is as follows: Step 1: Import the combination of tunnel structural parameters into the finite element model for simulation to obtain the maximum stress response, deformation response and internal force response of the tunnel structure; Step 2: Determine the structural performance of the tunnel based on the maximum stress response, deformation response, and internal force response.

[0032] More specifically, the process of determining the structural performance of a tunnel based on its maximum stress response, deformation response, and internal force response is as follows: Step 1: Based on the maximum stress response of the tunnel Determine the first sub-performance function of the tunnel. :

[0033] The second step is to determine the second and third sub-performance functions of the tunnel based on its deformation response: Among them, the second sub-performance function Based on the tunnel vertical convergence value Sure:

[0034] Third sub-performance function Based on tunnel segment opening Sure:

[0035] The third step is to determine the fourth sub-performance function of the tunnel based on its internal force response:

[0036] The fourth step is to determine the structural performance function of the tunnel based on the above sub-functions. .

[0037]

[0038] S102. The structural parameters of the tunnel are optimized using an optimization algorithm. When the iteration termination condition is met, the optimal combination of structural parameters is output as the target structural parameters. During the optimization process, the fitness value is determined based on the structural performance determined by the finite element simulation model and the cost of the combination of structural parameters.

[0039] In some examples, during the optimization of tunnel structural parameters, the structural performance of each combination of structural parameters is obtained through a tunnel structural performance determination model; the tunnel structural performance determination model is trained based on several structural samples obtained from finite element simulation; each structural sample includes a combination of structural parameters and the corresponding structural performance.

[0040] In some examples, the tunnel structure performance determination model includes the Kriging model.

[0041] In some examples, the structural performance of a tunnel is inversely proportional to the cost of the combination of structural parameters during the fitness value calculation process.

[0042] More specifically, after obtaining the structural parameters of the tunnel, the structural cost of the tunnel will also be calculated. Structural cost is determined by calculating the amount of concrete and steel reinforcement used in the tunnel based on its structural parameters.

[0043] Finally, based on the tunnel's structural performance and cost, the structural performance evaluation function for the tunnel structure is determined. :

[0044] S103. Establish a CFD model of the tunnel. The CFD model is used to simulate the tunnel ventilation equipment and determine the ventilation performance of the ventilation equipment.

[0045] random variable Specifically, it includes: Model: Discrete variable. Assume there are... Several fan models are available, each with a fixed airflow-pressure curve, power, dimensions, and purchase price. Integers are accepted. express.

[0046] Location: Continuous or discrete variable. The installation location of the fan along the longitudinal direction (length) of the tunnel. For The location of the typhoon generator can be represented as: ,in Indicates the first The distance between the typhoon generator and the tunnel entrance. The position variable alters the simulation geometry, which is a key challenge.

[0047] Quantity: Integer variable. Total number of wind turbines. ,but It can also be used as an optimization variable (variable-length design vector), which will greatly increase the complexity of the problem.

[0048] A more practical approach is to pre-determine a maximum possible number. The algorithm then determines whether some of the fans are "activated" or "deactivated" (with zero airflow) through optimization, which is equivalent to optimizing the number of fans.

[0049] In this application, a computational fluid dynamics (CFD) model is used for high-fidelity simulation.

[0050] Step 1: Parametric geometric modeling.

[0051] Basic tunnel model: Establish a baseline 3D geometric model that includes the tunnel outline, slope, cross passages (if any), etc.

[0052] Parametric implantation of wind turbines: This simplifies the wind turbine into either a momentum source (for steady-state simulation) or the actual blade region (for transient simulation). The momentum source model is typically used in optimization due to its high computational efficiency. An "implantation region" is defined for each wind turbine, its location (…). ), size (by model number) (Decision) as a parameter.

[0053] Step 2: Grid generation.

[0054] Unstructured meshes are used, and local mesh densification is carried out in the wind turbine implantation area and near the tunnel wall to capture jet and boundary layer effects.

[0055] Step 3: Setting up the physical model and boundary conditions.

[0056] Turbulence model: Select Realizable k-ε or SST k-ω model.

[0057] Material transport model: Considering pollutants (CO, dust), it is necessary to activate the component transport equation and set mass or volume source terms at the location of the pollution source (such as vehicle).

[0058] Boundary conditions: Define the pressure inlet, pressure outlet, wall surface, and fan model. Specify the air composition at the pressure inlet. Use standard wall functions for the walls and specify the roughness. The fan model is configured by setting "fan" or "momentum source" boundary conditions in the fan embedding region, depending on the model. Input the fan's airflow-pressure (QH) curve. The CFD solver will automatically calculate the fan's actual operating point based on the system resistance.

[0059] Step 4: Solver setup and calculation.

[0060] Use a steady-state solver (transient processes are usually not needed in optimization). Set reasonable relaxation factors and convergence criteria (e.g., residuals decreasing to 10). -4 After the monitoring point values ​​are stable, the solution is obtained.

[0061] In some examples, the process of determining the ventilation performance of ventilation equipment based on CFD models includes: Step 1: Import the equipment parameters of the ventilation equipment into the CFD model for simulation to obtain the safety index and flow field index of the tunnel; Step 2: Determine the ventilation performance of the ventilation equipment based on the tunnel's safety and flow field indicators.

[0062] Ventilation performance The determination process is as follows: Step 1: Determine the maximum concentration exceedance rate : ,in, Indicates the first in the tunnel Pollutant concentrations at each monitoring point The limits that indicate the concentration of pollutants.

[0063] The second step is to determine the percentage of areas exceeding the standard: ,in, This indicates the concentration of pollutants in a specific area of ​​the tunnel; The third step is to determine the average concentration. :

[0064] The fourth step is to determine the uniformity of wind speed. : ,in, This represents the standard deviation of wind speed at several monitoring points within the tunnel. This represents the average wind speed at several monitoring points within the tunnel. Step 5: Determine the average air age : ;in, This represents the air age at the monitoring point, and is the field variable directly output by the CFD solver by solving the additional transport equations. This indicates the total volume of the tunnel's interior space. This indicates that the integral is performed over the entire tunnel volume.

[0065] Ultimately, the ventilation performance of the tunnel was obtained. Represented as:

[0066] in, , , , , This represents the weighting coefficients, which sum to 1.

[0067] S104. The equipment parameters of the ventilation equipment in the tunnel are optimized using an optimization algorithm. When the iteration termination condition is met, the optimal combination of equipment parameters of the ventilation equipment is output as the target combination of equipment parameters of the ventilation equipment. During the optimization process, the fitness value is determined based on the ventilation performance determined by the CFD model and the cost of the ventilation equipment.

[0068] In some examples, during the optimization of equipment parameters for ventilation equipment, the ventilation performance of each combination of equipment parameters is obtained through a tunnel ventilation performance determination model; the tunnel ventilation performance determination model is trained based on several equipment samples obtained from CFD model simulation; each equipment sample includes the parameter combination of the ventilation equipment and the ventilation performance corresponding to the parameter combination of the ventilation equipment.

[0069] In some examples, the tunnel ventilation performance determination model can be the Kriging model.

[0070] In some examples, ventilation performance is inversely proportional to the cost of the equipment parameter combination during the fitness value calculation process.

[0071] objective function : ,in, Indicates ventilation performance. This indicates the cost of the ventilation equipment.

[0072] Selection process of tunnel ventilation equipment Total cost :

[0073] Procurement costs : ,in, Indicates the first The cost of purchasing typhoon generators.

[0074] Operating costs : , Indicates the first The power of the typhoon generator This indicates the operating time of the wind turbine (e.g., 1 year). This indicates the electricity price (which can be the average electricity price of the previous year).

[0075] S105. Output the determined target structural parameters and target equipment parameters of the tunnel as the design parameters of the tunnel.

[0076] Figure 2 This application provides an embodiment of a device for determining tunnel structure and equipment selection based on green operation and maintenance. See also: Figure 2 ,include: The finite element model construction module 11 is used to establish a finite element simulation model of the tunnel. The first digital twin model is used to simulate the structural parameters of the tunnel under disaster conditions and determine the structural performance of the tunnel. The first optimization model 12 is used to optimize the structural parameters of the tunnel using an optimization algorithm. When the iteration termination condition is met, the optimal combination of structural parameters is output as the target structural parameters. During the optimization process, the fitness value is determined based on the structural performance determined by the finite element simulation model and the cost of the combination of structural parameters. CFD model building module 13 is used to build a CFD model of the tunnel. The CFD model is used to simulate the tunnel ventilation equipment and determine the ventilation performance of the ventilation equipment. The second optimization module 14 is used to optimize the equipment parameters of the ventilation equipment in the tunnel using an optimization algorithm. When the iteration termination condition is met, the optimal combination of equipment parameters of the ventilation equipment is output as the target combination of equipment parameters of the ventilation equipment. During the optimization process, the fitness value is determined based on the ventilation performance determined by the CFD model and the cost of the ventilation equipment. Output module 15 is used to output the determined target structural parameters and target equipment parameters of the tunnel as the design parameters of the tunnel.

[0077] Figure 3 This is a structural block diagram of an electronic device provided according to an embodiment of this application. See also... Figure 3 Electronic devices may include Figure 2The aforementioned device for determining the tunnel structure and equipment selection based on green operation and maintenance. Typically, the electronic equipment includes a processor 21 and a memory 22. The processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 21 can be implemented using at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), or PLA (Programmable Logic Array). The processor 21 may also include a main processor and a coprocessor. The main processor is used to process data in the wake-up state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor used to process data in the standby state. The memory 22 may include one or more computer-readable storage media, which may be non-transitory. The memory 22 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage medium in memory 22 is used to store at least one instruction, which is executed by processor 21 to implement the method for determining tunnel structure and equipment selection based on green operation and maintenance provided by the method embodiments of this application.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining tunnel structure and equipment selection based on green operation and maintenance, characterized in that, include: A finite element simulation model of the tunnel is established. The first digital twin model is used to simulate the structural parameters of the tunnel under disaster conditions and determine the structural performance of the tunnel. An optimization algorithm is used to optimize the structural parameters of the tunnel. When the iteration termination condition is met, the optimal combination of structural parameters is output as the target structural parameters. During the optimization process, the fitness value is determined based on the structural performance determined by the finite element simulation model and the cost of the combination of structural parameters. A CFD model of the tunnel is established, which is used to simulate the tunnel ventilation equipment and determine the ventilation performance of the equipment. An optimization algorithm is used to optimize the equipment parameters of the ventilation equipment in the tunnel. When the iteration termination condition is met, the optimal combination of equipment parameters of the ventilation equipment is output as the target combination of equipment parameters of the ventilation equipment. During the optimization process, the fitness value is determined based on the ventilation performance determined by the CFD model and the cost of the ventilation equipment. The determined target structural parameters and target equipment parameters of the tunnel are output as the design parameters of the tunnel.

2. The method for determining tunnel structure and equipment selection based on green operation and maintenance according to claim 1, characterized in that, During the optimization of tunnel structural parameters, the structural performance of each combination of structural parameters is obtained through the tunnel structural performance determination model. The tunnel structure performance determination model is trained based on several structural samples obtained from the finite element simulation model; each structural sample includes a combination of structural parameters and the corresponding structural performance.

3. The method for determining tunnel structure and equipment selection based on green operation and maintenance according to claim 1, characterized in that, In the process of optimizing the equipment parameters of ventilation equipment, the ventilation performance of each equipment parameter combination is obtained through the tunnel ventilation performance determination model; the tunnel ventilation performance determination model is trained based on several equipment samples obtained from CFD model simulation; each equipment sample includes the parameter combination of ventilation equipment and the ventilation performance corresponding to the parameter combination of ventilation equipment.

4. The method for determining tunnel structure and equipment selection based on green operation and maintenance according to claim 1, characterized in that, The process of determining the structural performance of a tunnel based on the finite element model is as follows: The structural parameters of the tunnel are combined and imported into the finite element model for simulation to obtain the maximum stress response, deformation response and internal force response of the tunnel structure. The structural performance of the tunnel is determined based on the maximum stress response, deformation response, and internal force response.

5. The method for determining tunnel structure and equipment selection based on green operation and maintenance according to claim 1, characterized in that, The process of determining the ventilation performance of ventilation equipment based on CFD models is as follows: The equipment parameters of the ventilation equipment are imported into the CFD model for simulation to obtain the safety index and flow field index of the tunnel. Based on the tunnel's safety and flow field indicators, the ventilation performance of the ventilation equipment is determined.

6. The method for determining tunnel structure and equipment selection based on green operation and maintenance according to claim 1, characterized in that, In the process of calculating the fitness value of the combination of structural parameters, the structural performance of the tunnel is inversely proportional to the cost of the combination of structural parameters.

7. The method for determining tunnel structure and equipment selection based on green operation and maintenance according to claim 1, characterized in that, In the process of calculating the fitness value of equipment parameter combinations, ventilation performance is inversely proportional to the cost of the equipment parameter combinations.

8. A device for determining tunnel structure and equipment selection based on green operation and maintenance, characterized in that, include: The finite element model construction module is used to establish a finite element simulation model of the tunnel. The first digital twin model is used to simulate the structural parameters of the tunnel under disaster conditions and determine the structural performance of the tunnel. The first optimization model is used to optimize the structural parameters of the tunnel using an optimization algorithm. When the iteration termination condition is met, the optimal combination of structural parameters is output as the target structural parameters. During the optimization process, the fitness value is determined based on the structural performance determined by the finite element simulation model and the cost of the combination of structural parameters. The CFD model building module is used to build a CFD model of the tunnel. The CFD model is used to simulate the tunnel ventilation equipment and determine the ventilation performance of the ventilation equipment. The second optimization module is used to optimize the equipment parameters of the ventilation equipment in the tunnel using an optimization algorithm. When the iteration termination condition is met, it outputs the optimal combination of equipment parameters of the ventilation equipment as the target combination of equipment parameters of the ventilation equipment. During the optimization process, the fitness value is determined based on the ventilation performance determined by the CFD model and the cost of the ventilation equipment. The output module is used to output the determined target structural parameters and target equipment parameters of the tunnel as the design parameters of the tunnel.

9. An electronic device, characterized in that, It includes the device for determining the tunnel structure and equipment selection based on green operation and maintenance as described in claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one piece of program code, which is executed by a processor to implement the method for determining tunnel structure and equipment selection based on green operation and maintenance as described in any one of claims 1 to 7.

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