Verification method and physical simulation method for simulation calculation of deep tunnel containing retained air mass

Abstract

The invention discloses a verification method and a physical simulation method for simulation calculation of a deep tunnel containing a retained air mass, and the method comprises the steps: taking the air content as a control quantity, and carrying out the similarity comparison of the test data of a physical model of a deep tunnel system and the calculation data of a high-dimensional algorithm model, thereby achieving the verification of the high-dimensional algorithm model; and performing similarity comparison on the calculation data of the high-dimensional algorithm model and the calculation data of the low-dimensional modeling model, thereby realizing verification of the low-dimensional modeling model.

Description

Technical Field

[0001] The invention relates to a verification method and a physical simulation method for simulation calculation of a deep tunnel containing trapped air masses, and belongs to the field of information technology. Background Art

[0002] In view of the current characteristics of low water surface rate, high building density, complicated underground pipelines and dense population in urban areas under the condition of frequent short-duration heavy rainfall, the attempt to use storage shafts as a facility to alleviate the overflow of the original large-scale combined sewer and form a deep tunnel system with deep tunnels is a relatively reliable and economical new option in the transformation of urbanized rainwater management. A large number of engineering practices have shown that the existence of trapped air masses in deep tunnels is inevitable when multiple storage shafts flow in, and the transient pressure caused by water flow impact will bring potential dangers to system safety.

[0003] In order to reduce the danger of trapped air mass to the system, the best method is to simulate it before designing the system. There are two simulation methods at present. One is high-dimensional algorithm model simulation (De-You, Liu, et al. "Simulation and analysis of the rapid filling in pipeline containing trapped air mass with VOF models." Chinese Journal of Computational Mechanics 26.3(2009):390-394.), such as three-dimensional visualization computational fluid model (CFD), and the other is low-dimensional modeling model simulation (Wylie, EB, and Streeter, VL (1993). Fluid transients in systems,Prentice Hall, New York.), such as rigid column model (RC) or characteristic line model (MOC). However, the rationality of the existing simulation results cannot be effectively verified. Summary of the invention

[0004] The present invention provides a verification method and a physical simulation method for simulation calculation of a deep tunnel containing trapped air masses, which solve the problems disclosed in the background technology.

[0005] According to one aspect of the present disclosure, a verification method for simulation calculation of a deep tunnel containing trapped air masses is provided, comprising: According to the layout plan of the deep tunnel system, a physical model of the deep tunnel system is constructed, and a water filling test is carried out on the physical model of the deep tunnel system under typical operating conditions to obtain test data during the water filling process; the test data includes the flow state L1 at different gas contents and the pressure Y1 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel; A high-dimensional algorithm model of a deep tunnel system is constructed, and the high-dimensional algorithm model is used to simulate a water filling test under typical working conditions to obtain first calculation data; wherein the high-dimensional algorithm model is a high-dimensional algorithm model that satisfies the water level boundary conditions corresponding to the typical operating conditions; the first calculation data includes the flow state L2 at different gas contents and the pressure Y2 at each measuring point along the deep tunnel; The test data is compared with the first calculated data to verify the high-dimensional algorithm model.

[0006] In some embodiments of the present disclosure, typical operating conditions include single-sided conditions and double-sided conditions; wherein, the single-sided condition is to control the flow rate and water level of the inflow regulating storage shaft when there is inflow into the regulating storage shaft on one side; the double-sided condition is to control the flow rate and water level of the inflow regulating storage shaft when there is inflow into the regulating storage shaft on both sides.

[0007] In some embodiments of the present disclosure, the test data and the first calculated data are compared to perform high-dimensional algorithm model verification, including: All typical operating conditions are traversed. If the test data under the same typical operating condition is similar to the first calculated data, the high-dimensional algorithm model under the typical operating condition is verified to be successful.

[0008] In some embodiments of the present disclosure, the process of determining that the test data and the first calculated data under the same typical operating condition are similar includes: Under typical operating condition A, calculate the similarity between flow state L1 and flow state L2 with the same gas content, and calculate the difference between pressure Y1 and pressure Y2 with the same gas content; If the similarities of all corresponding flow states under the typical operating condition A are within a first preset range, and the differences of all corresponding pressures are within a second preset range, then the test data under the typical operating condition A is similar to the first calculated data.

[0009] According to another aspect of the present disclosure, a verification method for simulation calculation of a deep tunnel containing trapped air masses is provided, comprising: A high-dimensional algorithm model of a deep tunnel system is constructed, and different gas contents are applied to the high-dimensional algorithm model to obtain first calculation data; wherein the high-dimensional algorithm model is a high-dimensional algorithm model that satisfies the water level boundary conditions corresponding to the typical operating conditions; the first calculation data includes the flow state L2 at different gas contents and the pressure Y2 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel; A low-dimensional modeling model of the deep tunnel system is constructed, and different gas contents are applied to the low-dimensional modeling model to obtain second calculation data; wherein the low-dimensional modeling model is a low-dimensional modeling model that satisfies the water level boundary conditions corresponding to the typical operating conditions; the second calculation data includes the flow state L3 at different gas contents and the pressure Y3 of each measuring point along the deep tunnel; The first calculated data and the second calculated data are compared to verify the low-dimensional modeling model.

[0010] In some embodiments of the present disclosure, the first calculated data and the second calculated data are compared to perform low-dimensional modeling model verification, including: All typical operating conditions are traversed. If the first calculation data and the second calculation data under the same typical operating condition are similar, the low-dimensional modeling under the typical operating condition is verified to be successful.

[0011] In some embodiments of the present disclosure, the process of determining that the first calculated data and the second calculated data under the same typical operating condition are similar includes: Under typical operating condition A, calculate the similarity between flow state L2 and flow state L3 with the same gas content, and calculate the difference between pressure Y2 and pressure Y3 with the same gas content; If the similarities of all corresponding flow states under the typical operating condition A are within a first preset range, and the differences of all corresponding pressures are within a second preset range, then the first calculated data and the second calculated data under the typical operating condition A are similar.

[0012] According to another aspect of the present disclosure, a physical simulation method for a deep tunnel containing a stagnant air mass is provided, comprising: According to the standards of deep tunnel system, a physical model of deep tunnel system is constructed; A water filling test is carried out on the physical model of the deep tunnel system under typical operating conditions to obtain test data during the water filling process; the test data includes the flow state L1 at different gas contents and the pressure Y1 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel; the test data is used to verify the high-dimensional algorithm model of the deep tunnel system.

[0013] The beneficial effects achieved by the present invention are as follows: 1. The present invention uses gas content as a control quantity to perform similarity comparison between the test data of the physical model of the deep tunnel system and the calculation data of the high-dimensional algorithm model, thereby realizing the verification of the high-dimensional algorithm model; and performs similarity comparison between the calculation data of the high-dimensional algorithm model and the calculation data of the low-dimensional modeling model, thereby realizing the verification of the low-dimensional modeling model; 2. The present invention uses gas content as a control quantity to perform a water filling test on the physical model of the deep tunnel system under typical operating conditions, simulates a deep tunnel containing trapped air masses, and fills the gap in physical simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the analysis of the front edge of the pressure effect of a single trapped air mass; in the figure, Piezo is the pressure head line, Airpocket is the air mass, Water line is the water surface line, 1 and 2 represent sections 1 to 2 respectively, Z1 is the position head of the pressure head line at section 1, and Z2 is the position head of the pressure head line at section 2; Figure 2 A first flow chart of a validation method for simulation calculations of a deep tunnel containing stagnant air masses; Figure 3 It is a schematic diagram of the physical model of the deep tunnel system; Figure 4 This is the pressure comparison chart of each measuring point in the single-side inflow test; Figure 5 This is the pressure comparison chart of each measuring point in the double-side inflow test; Figure 6 Second flow chart of the validation method for simulation calculation of deep tunnel with trapped air mass Figure 7 Flow chart of the physical simulation method for deep tunnels containing trapped air masses. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. It is obvious that the described embodiments are only part of the embodiments of the present disclosure, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present disclosure and its application or use. Based on the embodiments in the present disclosure, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present disclosure.

[0016] Unless otherwise specified, the relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure.

[0017] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0018] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0019] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0020] It should be noted that similar symbols and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it does not require further discussion in subsequent figures.

[0021] In order to solve the problem of lack of verification in the existing simulation calculations of deep tunnels containing trapped air masses, the present invention proposes a verification method and a physical simulation method for simulation calculations of deep tunnels containing trapped air masses. Specifically, a physical simulation method is proposed, and the results of the physical simulation method are compared with the calculation results of the high-dimensional algorithm model to realize the verification of the high-dimensional algorithm model, and the calculation results of the high-dimensional algorithm model are compared with the calculation results of the low-dimensional modeling model to realize the verification of the low-dimensional modeling model.

[0022] There are three known mechanisms for the formation of trapped air masses. The first is the large bubble slug formed by the rapid filling process (Martin, CS (1976). Entrapped air in pipelines. Proc. 2nd Intl. Conf. Pressure Surges, 15–28, F2, BHRA, Bedford, UK.), the second is the accumulation of bubbles in the water flow of the storage shaft (Chanson, H. . (2003). Experimental investigation of dropshaft hydraulics- two-phase flow and acoustics. International Association of Hydraulic Engineering and Research (IAHR) Congress Theme B: Urban and Rural Water Systems for Sustrinable Development; 20030824-20030829; AUTH; GR. Dept of Civil Engineering, The University of Queensland, Brisbane QLD 4072, Australia.), and the third is the separation of the water column at the high point of the filling water body (Liou, CP, and Hunt, WA(1996). Filling of pipelines with undulating elevation profiles. Journal ofHydraulic Engineering, 122(10), 534-539.).

[0023] There are two possible formation mechanisms of trapped air masses in deep tunnels. The first is that the actual trapped air masses are developed when the system water head line reaches the top of the deep tunnel (Vasconcelos, JG, and Wright, SJ (2017). Anticipating transient problems during the rapid filling of deep stormwater storage tunnel systems. Journal of Hydraulic Engineering, 143(3), 06016025. Wang, YR, Yu, XD, Qin, XH, Cheng, N., and Yu, C. (2022) Analysis of pressure surges for water filling in deep stormwater storage tunnels with entrapped air-pocket using a VOF model, AQUA—Water Infrastructure, Ecosystems and Society, 71 (9), 992–1001.). The second is that higher porosity and saturation are the key to the existence of air masses with different mechanisms that also originate from bubbles (Wylie, EB, and Streeter, VL(1993). Fluid transients in systems, Prentice Hall, New York.; Rohilla, L., and Das, AK (2020). Fluidics in an emptying bottle during breaking andmaking of interacting interfaces. Physics of Fluids, 32(4).).Moreover, the trapped air mass in the deep tunnel has a shape and state parameters that are in dynamic change (Vasconcelos, JG, and Wright, SJ (2017). Anticipating transient problems during the rapid filling of deepstormwater storage tunnel systems. Journal of Hydraulic Engineering, 143(3),06016025.; Eldayih, Y., Cetin, M., and Vasconcelos, JG (2020) Air-pocketentrapment caused by shear flow instabilities in rapid-filling pipes, Journalof Hydraulic Engineering, 146 (4), 04020016.1–04020016.14.).

[0024] Based on the above existing reasons, it is impossible to perform physical simulation by conventionally controlling air masses, so currently simulation can only be performed by mathematical calculation.

[0025] In order to realize physical simulation, the following analysis is conducted on the deep tunnel with trapped air masses: Considering the randomness of the formation of trapped air masses in deep tunnels, the potential trapped air masses with a certain amount of tailwater in the downward inclined longitudinal slope are taken as components, and the pressure front edge of a single trapped air mass is analyzed. Figure 1 The specific approach is: take the dotted line part in the figure as the cavity flow and air intrusion with local thickness in the deep tunnel, and then trigger the flow pressurization of the water filling hole to form the movement of potential trapped air masses.

[0026] like Figure 1 As shown in the figure, the streamlines at the dotted boundary are parallel and decelerate toward the potential stagnant air mass. The distance between the two is equal to the height of the stagnant air mass. The average integral of the leading edge force is: ; In the formula, ; H WC is the relative pressure head on the air mass-water interface, H a is the relative pressure head of the air mass, uss is the air mass surface or stagnation velocity, g is the acceleration due to gravity, l is the length of the air mass pressure front moving along the top of the deep tunnel, φ is the slope of the deep tunnel, S a is the air mass area, r tunnel is the radius of the deep tunnel, h d is the tailwater depth, Re is the Reynolds number, f ()for h d A function that varies with the size of the air mass.

[0027] From the above formula, we can see that the relative pressure acting on the trapped air mass is H WC It changes linearly from section 1 to section 2, and then combined with the mathematical and physical changes of the gas state equation, it is easy to get the fitting relationship of the pressure front of the test air mass, that is, the fitting relationship of the pressure front retained air mass with / without release and heat transfer effect constraints in the gas state equation is: ; In the formula, V a is the volume of the air mass, t For time, L tunnel is the length of the deep tunnel on one side of the air mass, s tunnel is the longitudinal cross-sectional area of ​​the deep tunnel on the air mass side, V PL It is the equivalent full tunnel water volume on the air mass side.

[0028] According to the above fitting relationship, under the condition of no mass exchange between layers, the regional atmospheric pressure head is taken and deduced from the two-phase flow theory: ; In the formula, P G is the relative air pressure, P L is the relative pressure of water, P I is the water-air interface, α G is the air cross-sectional porosity, u L is the water velocity, u G is the air speed.

[0029] The above formula describes the physical movement mechanism of the fitting relationship of the trapped air mass at the front edge of the pressure action, that is, the phenomenon of trapped air volume decomposition and discrete air mass generation described in the relevant literature. The generation, development and rupture of this phenomenon will eventually disappear with the attenuation of the surge wave. At the same time, according to the literature test and simulation observation, it can be seen that the unstable filling part between the secondary discrete air mass and the free surface in this area will not be very long. Combined with the actual layout of the deep storage tunnel system and the general flow characteristics described in the literature (Eldayih, Y., Cetin, M. & Vasconcelos, JG (2020) Air-pocket entrapment caused by shearflow instabilities in rapid-filling pipes, Journal of Hydraulic Engineering, 146 (4), 04020016.1–04020016.14.), the air content is selected as the experimental control variable.

[0030] The corresponding test air mass pressure front fitting relationship and the air content as the test control variable, the water level of the two regulating shafts in the same deep tunnel range is selected as the pressurization interface. If the potential trapped air mass formed by the simulated water flow entering the system and discharging a certain volume of air is credible, then the model is also the same for the simulation of deep tunnels containing trapped air masses. Since physical experiments cannot control air masses, it is possible to fill water into the system in disguise to control the air content.

[0031] Based on the above analysis, see Figure 2 , which is a schematic diagram of an embodiment of a verification method for simulation calculation of a deep tunnel containing trapped air masses disclosed in the present invention, the process includes: Step 1: According to the layout plan of the deep tunnel system, a physical model of the deep tunnel system is constructed, and a water filling test is performed on the physical model of the deep tunnel system under typical operating conditions to obtain test data during the water filling process; wherein the test data include the flow state L1 at different gas contents and the pressure Y1 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel.

[0032] It should be noted that physical testing refers to the repetition of the mechanical process that occurs in the prototype on the model after being reduced (or enlarged) under physically similar conditions. Figure 3 The physical model of the deep tunnel system shown is similar to the deep tunnel system, including the 1# regulating storage shaft, the 2# regulating storage shaft and the deep tunnel between the regulating storage shafts.

[0033] It should be noted that since the physical model is a reduction or enlargement of the real system, its design and material selection are carried out in full compliance with the national standard "Hydraulic (Conventional) Model Test Procedure" (latest edition). For the contents not covered by the test procedure, reference is made to "Hydraulic Model Test Procedure for Pressurized Water Transfer System of Hydropower Station" (latest edition), "Hydraulic Calculation Manual", "Model Test Measurement Technology" and previous relevant scientific research results and test methods.

[0034] In combination with the requirements of physical model tests and the test requirements for simulation calculation of deep tunnels containing trapped air masses, the test should measure flow, water surface line, pressure, flow state, etc. Among them, flow and water surface line are mainly used to control the working conditions, and pressure and flow state are the data to be collected in the end of the test.

[0035] Flow collection: The flow rate is the flow rate of the deep tunnel into the storage shaft, which is measured by the electromagnetic flowmeter installed on the water inlet pipe and calibrated by the water measuring weir. The selection and accuracy of the electromagnetic flowmeter here are mainly based on the actual application of the measuring instrument model parameters.

[0036] Water level acquisition: The water surface line is the water surface line in the regulating and storage shaft. It is measured by arranging measuring scales and configured with a wave height meter (the selection and accuracy of the wave height meter here are mainly based on the model parameters of the actual application of measuring instruments) for calibration. At the same time, real-time monitoring is carried out through high-definition cameras (multiple cameras are arranged along the way, mainly based on the model parameters, accuracy and number of actual application of measuring instruments). The computer is used for acquisition and image post-processing to draw the change process of the water surface line in the regulating and storage shaft during the test.

[0037] Pressure acquisition: In order to monitor the pressure changes along the water-gas two-phase flow in the tunnel in real time, pressure sensors are arranged along the bottom and top of the tunnel (the selection of pressure sensor model and accuracy here are mainly based on the actual application of measuring instruments), and synchronous data collection is carried out through computers (the selection of computer model and accuracy here are mainly based on the actual application of computer model parameters).

[0038] Flow pattern acquisition: During the test, high-definition cameras (the selection and accuracy of high-definition cameras here are based on the actual application of measuring instruments) are used to monitor the inflow process in the storage shaft and deep tunnel in real time, and high-performance cameras (the selection and accuracy of pressure sensors here are based on the model parameters of actual application of measuring instruments) are used to record flow field images in local areas and typical flow patterns.

[0039] It should be noted that typical operating conditions include single-sided conditions and double-sided conditions; among them, the single-sided condition is to control the flow rate and water level of the inflow regulating and storage shaft when the inflow flows into the single-sided regulating and storage shaft; the double-sided condition is to control the flow rate and water level of the inflow regulating and storage shaft when the inflow flows into the double-sided regulating and storage shaft. For example, the two regulating and storage shafts can be used as a typical operating condition for water filling test with the maximum flow inflow. This condition uses the maximum flow for water filling for a long time, which is conducive to observing the most unfavorable hydraulic phenomena that may exist in deep tunnels. Some small flow constant water filling conditions can be selected for testing, such as the inflow of the 1# (higher terrain) regulating and storage shaft is a constant value, and the inflow of the 2# (lower terrain) regulating and storage shaft is a constant value. When the water level of the 1# shaft (higher terrain) regulating and storage shaft reaches the control water level, the inflow is stopped.

[0040] By conducting a water filling test on the physical model under typical operating conditions, that is, filling an empty model with water under typical operating conditions, the flow state L1 at different gas contents and the pressure Y1 at each measuring point along the deep tunnel can be obtained.

[0041] return Figure 2 , step 2 of the embodiment, constructs a high-dimensional algorithm model of the deep tunnel system, and uses the high-dimensional algorithm model to simulate the water filling test under typical working conditions to obtain first calculation data; wherein the high-dimensional algorithm model is a high-dimensional algorithm model that meets the water level boundary conditions corresponding to the typical operating conditions, such as the vertical flow rate of the storage shaft as the boundary condition of the storage shaft; the first calculation data includes the flow state L2 at different gas contents and the pressure Y2 at each measuring point along the deep tunnel.

[0042] It should be noted that the high-dimensional algorithm model is an existing model. It is an existing technology to simulate and calculate the deep tunnel system through the high-dimensional algorithm model, which will not be described in detail here. The model is a computer simulation model. By simulating the water filling test under typical working conditions, the flow state L2 at different gas contents and the pressure Y2 at each measuring point along the deep tunnel can be obtained.

[0043] return Figure 2 In step 3 of the embodiment, the test data is compared with the first calculated data to verify the high-dimensional algorithm model.

[0044] It should be noted that the comparison in step 3 is mainly to compare the flow states and pressures obtained under the same conditions of the two tests (i.e., the same operating conditions, the same gas content), and all typical operating conditions can be traversed. If the test data under the same typical operating condition is similar to the first calculated data, then the high-dimensional algorithm model under the typical operating condition is verified, which also indicates that the simulation calculation results of the high-dimensional algorithm model under the typical operating condition are reliable.

[0045] The process of determining that the test data under the same typical operating condition is similar to the first calculated data may include: 31) Under typical operating condition A, calculate the similarity between flow state L1 and flow state L2 with the same gas content, and calculate the difference between pressure Y1 and pressure Y2 with the same gas content.

[0046] 32) If the similarities of all corresponding flow states under typical operating condition A are within a first preset range, and the differences of all corresponding pressures are within a second preset range, then the test data under typical operating condition A is similar to the first calculated data; wherein the first preset range can be set to 80%~100%, and the second preset range can be set to 10%~20%.

[0047] For example: select one working condition for each of the two inflow modes for testing, and compare the pressure at only four measuring points. Figure 4 and 5 ,From the figure, it can be seen that the pressure of the physical ,simulation experiment and the pressure simulated by the high-dimensional ,algorithm model are roughly the same.

[0048] The above method uses gas content as the control variable and compares the similarity between the test data of the deep tunnel system physical model and the calculated data of the high-dimensional algorithm model, thereby realizing the verification of the high-dimensional algorithm model.

[0049] See also Figure 6 , which is a schematic diagram of an embodiment of a verification method for simulation calculation of a deep tunnel containing trapped air masses disclosed in the present invention, the process includes: S1) constructing a high-dimensional algorithm model of a deep tunnel system, and applying different gas contents to the high-dimensional algorithm model to obtain first calculation data; wherein the high-dimensional algorithm model is a high-dimensional algorithm model that satisfies the water level boundary conditions corresponding to typical operating conditions; the first calculation data includes the flow state L2 at different gas contents and the pressure Y2 of each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel.

[0050] S2) constructing a low-dimensional modeling model of the deep tunnel system, and applying different gas contents to the low-dimensional modeling model to obtain second calculation data; wherein the low-dimensional modeling model is a low-dimensional modeling model that meets the water level boundary conditions corresponding to the typical operating conditions; the second calculation data includes the flow state L3 at different gas contents and the pressure Y3 of each measuring point along the deep tunnel.

[0051] It should be noted that the low-dimensional modeling model is an existing model. It is an existing technology to simulate and calculate the deep tunnel system through the low-dimensional modeling model. It will not be described in detail here. The model is a mathematical theoretical model (i.e., a formula model). By applying different gas contents, the flow state L3 at different gas contents and the pressure Y3 at each measuring point along the deep tunnel can be obtained.

[0052] S3) Compare the first calculated data with the second calculated data to verify the low-dimensional modeling model.

[0053] It should be noted that the comparison in S3) is mainly to compare the flow states and pressures obtained under the same conditions of the two tests (i.e., the same operating conditions, the same gas content), which can traverse all typical operating conditions. If the first calculation data and the second calculation data under the same typical operating condition are similar, then the low-dimensional modeling model under the typical operating condition is verified, which also indicates that the simulation calculation results of the low-dimensional modeling model under the typical operating condition are reliable.

[0054] The process of determining that the first calculated data and the second calculated data under the same typical operating condition are similar may include: S31) Under typical operating condition A, the similarity between flow state L2 and flow state L3 with the same gas content is calculated, and the difference between pressure Y2 and pressure Y3 with the same gas content is calculated.

[0055] S32) If the similarities of all corresponding flow states under the typical operating condition A are within a first preset range, and the differences of all corresponding pressures are within a second preset range, then the first calculated data and the second calculated data under the typical operating condition A are similar.

[0056] It should be noted that since the low-dimensional modeling model is essentially a one-dimensional model, it is impossible to obtain a visualized water vapor distribution cloud map like a high-dimensional algorithm model (such as a three-dimensional visualized computational fluid model (CFD)). Therefore, the process comparison condition here is that the low-dimensional modeling model can obtain the low-dimensional water surface line change results considering the effect of trapped air masses under different working conditions.

[0057] The above method compares the calculation data of the high-dimensional algorithm model with the calculation data of the low-dimensional modeling model for similarity, thereby realizing the verification of the low-dimensional modeling model.

[0058] See also Figure 7 , which is a schematic diagram of an embodiment of the physical simulation method of a deep tunnel containing trapped air masses disclosed in the present invention, and the process includes: constructing a physical model of the deep tunnel system according to the layout plan of the deep tunnel system; conducting a water filling test under typical operating conditions on the physical model of the deep tunnel system to obtain test data during the water filling process; wherein the test data includes the flow state L1 at different gas contents and the pressure Y1 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel; the test data is used to verify the high-dimensional algorithm model of the deep tunnel system.

[0059] The above method uses the gas content as the control quantity to conduct a water filling test under typical operating conditions on the physical model of the deep tunnel system, simulates the deep tunnel with trapped air masses, and fills the gap in physical simulation.

[0060] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A verification method for simulation calculation of deep tunnels containing trapped air masses, characterized in that: include: According to the layout plan of the deep tunnel system, a physical model of the deep tunnel system is constructed, and a water filling test is carried out on the physical model of the deep tunnel system under typical operating conditions to obtain test data during the water filling process; the test data includes the flow state L1 at different gas contents and the pressure Y1 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel; A high-dimensional algorithm model of a deep tunnel system is constructed, and the high-dimensional algorithm model is used to simulate a water filling test under typical working conditions to obtain first calculation data; wherein the high-dimensional algorithm model is a high-dimensional algorithm model that satisfies the water level boundary conditions corresponding to the typical operating conditions; the first calculation data includes the flow state L2 at different gas contents and the pressure Y2 at each measuring point along the deep tunnel; The test data is compared with the first calculated data to verify the high-dimensional algorithm model.

2. The method according to claim 1, characterized in that Typical operating conditions include single-sided conditions and double-sided conditions; among them, the single-sided condition is to control the flow rate and water level of the inflow regulating storage shaft when there is inflow into the regulating storage shaft on one side; the double-sided condition is to control the flow rate and water level of the inflow regulating storage shaft when there is inflow into the regulating storage shaft on both sides.

3. The method according to claim 1, characterized in that Compare the test data with the first calculated data to verify the high-dimensional algorithm model, including: All typical operating conditions are traversed. If the test data under the same typical operating condition is similar to the first calculated data, the high-dimensional algorithm model under the typical operating condition is verified to be successful.

4. The method according to claim 3, characterized in that The process of judging whether the test data and the first calculated data under the same typical operating condition are similar includes: Under typical operating condition A, calculate the similarity between flow state L1 and flow state L2 with the same gas content, and calculate the difference between pressure Y1 and pressure Y2 with the same gas content; If the similarities of all corresponding flow states under the typical operating condition A are within a first preset range, and the differences of all corresponding pressures are within a second preset range, then the test data under the typical operating condition A is similar to the first calculated data.

5. A verification method for simulation calculation of deep tunnels containing trapped air masses, characterized in that: include: A high-dimensional algorithm model of a deep tunnel system is constructed, and different gas contents are applied to the high-dimensional algorithm model to obtain first calculation data; wherein the high-dimensional algorithm model is a high-dimensional algorithm model that satisfies the water level boundary conditions corresponding to the typical operating conditions; the first calculation data includes the flow state L2 at different gas contents and the pressure Y2 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel; A low-dimensional modeling model of the deep tunnel system is constructed, and different gas contents are applied to the low-dimensional modeling model to obtain second calculation data; wherein the low-dimensional modeling model is a low-dimensional modeling model that satisfies the water level boundary conditions corresponding to the typical operating conditions; the second calculation data includes the flow state L3 at different gas contents and the pressure Y3 of each measuring point along the deep tunnel; The first calculated data and the second calculated data are compared to verify the low-dimensional modeling model.

6. The method according to claim 5, characterized in that The first calculated data and the second calculated data are compared to perform low-dimensional modeling model verification, including: All typical operating conditions are traversed. If the first calculation data and the second calculation data under the same typical operating condition are similar, the low-dimensional modeling under the typical operating condition is verified to be successful.

7. The method according to claim 6, characterized in that The process of determining whether the first calculated data and the second calculated data under the same typical operating condition are similar includes: Under typical operating condition A, calculate the similarity between flow state L2 and flow state L3 with the same gas content, and calculate the difference between pressure Y2 and pressure Y3 with the same gas content; If the similarities of all corresponding flow states under the typical operating condition A are within a first preset range, and the differences of all corresponding pressures are within a second preset range, then the first calculated data and the second calculated data under the typical operating condition A are similar.

8. A physical simulation method for a deep tunnel containing a trapped air mass, characterized in that: include: According to the layout plan of the deep tunnel system, a physical model of the deep tunnel system is constructed; A water filling test is carried out on the physical model of the deep tunnel system under typical operating conditions to obtain test data during the water filling process; the test data includes the flow state L1 at different gas contents and the pressure Y1 at each measuring point along the deep tunnel; the gas content is the gas content in the deep tunnel; the test data is used to verify the high-dimensional algorithm model of the deep tunnel system.

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