A virtual temperature-based steel support servo system simulation method and system

Abstract

The application discloses a steel support servo system simulation method and system based on virtual temperature, which comprises the following steps: determining the virtual temperature increment and the servo steel support axial force increment of each lane of servo steel support according to the excavation depth, and further determining the load conversion coefficient matrix of each lane of servo steel support; determining the axial force increment required by the servo steel support according to the axial force setting target value of the servo steel support and the axial force measured value of the servo steel support; further obtaining the applied axial load matrix of the servo steel support from the actual axial force change matrix formula of the servo steel support, and then converting the virtual temperature matrix used for adjusting the axial force. The application can accurately simulate the process that the steel support servo system loads the new support when the new support is erected and ensures that the axial force of the original support is not lower than the setting value.

Description

Technical Field

[0001] The present invention relates to a steel support servo system simulation, and in particular to a steel support servo system simulation method and system based on virtual temperature. Background Art

[0002] During deep foundation pit excavation, steel support internal support solutions are commonly used. However, traditional steel support joints have defects such as structural conversion from jack support to steel wedge locking, and plastic deformation of the steel wedges during force application. This exacerbates preload loss, disperses axial force, and increases the instability of deep foundation pits during excavation. The steel support servo system is intended to eliminate the structural defects at the joint, achieve high-precision axial force control, and reduce deformation of the foundation pit retaining structure. During deep foundation pit excavation, the deformation of the retaining structure interacts with the support axial force, and the axial forces of each steel support structure influence each other during load application. Therefore, it is urgent to use numerical simulation methods to reveal the influence of the axial force changes of the steel support servo system on the deformation control of the foundation pit, so as to improve the application efficiency of the steel support servo system in deep foundation pit projects and optimize the axial force design scheme of the steel support servo system in deep foundation pits.

[0003] The existing numerical simulation of steel support servo systems mainly focuses on the application of preloads, including the equivalent concentrated force method and the equivalent initial strain method. The equivalent concentrated force method applies a pair of equal and opposite tensile forces along the axis of the steel support at both ends to complete the steel support preload application process. The equivalent initial strain method is implemented by first fixing one end of the steel support and then releasing the initial compression deformation converted by the equivalent preload. Although both methods can apply preloads to the enclosure structure, the equivalent concentrated force method does not have a steel support entity and cannot reflect the axial force reduction condition of the actual stress state of the steel support. Although the equivalent initial strain method has a steel support structure entity, it is still only a single loading action and cannot simulate the multiple loading and unloading processes of the steel support servo system.

[0004] like Figure 1As shown, the steel support servo system is connected to the support head and controls the extension and retraction of the jack by adjusting the hydraulic cylinder pressure to achieve the support loading target. The steel support servo system is equipped with axial force sensors at the support ends to monitor the axial force in real time. The monitoring data is transmitted to the servo system's central processor for data analysis and storage, enabling automatic adjustments to bring the support axial force closer to the preset target. After the steel supports are installed, the servo system sets a baseline axial force value for each steel support and then applies an axial load to bring the support axial force close to the baseline value. When excavation continues and the next new support is erected, the axial force of the existing steel support may decrease, even below the baseline value, due to the redistribution of structural stress. In actual engineering, the servo system activates a compensation function to apply an axial load to bring the axial force of the existing support back to the baseline value. Existing steel support servo system simulation methods have difficulty accurately simulating this process, and cannot guarantee that the axial force of the existing support will not fall below the baseline value when loading the new support during installation. Summary of the Invention

[0005] Purpose of the invention: The purpose of the present invention is to provide a steel support servo system simulation method and system based on virtual temperature, which can realize accurate simulation of the support axial force during the layered excavation of foundation pit and the erection of servo steel support.

[0006] Technical solution: The virtual temperature-based steel support servo system simulation method of the present invention includes:

[0007] (1) Establish a finite element model for the foundation pit project, determine the virtual temperature increment ΔT and the axial force increment ΔP of each servo steel support according to the excavation depth, and determine the load conversion coefficient η of each servo steel support according to ΔP = ηαEAΔT j,i,m , where α is the thermal expansion coefficient, E is the elastic modulus of the steel support, A is the cross-sectional area of ​​the steel support, j is the inspection track number of the servo system steel support axial force value, i is the inspection track number of the servo system steel support virtual temperature loading, m is the track number of the servo system steel support that needs to be installed in the existing excavation pit, i≤m, j≤m;

[0008] (2) The axial force increment required by the servo steel support [ΔP T ] m =[P] a -[P] t , where [P] a Set the target value for the axial force of the servo steel support, [P] t is the measured value of the axial force of the servo steel support; substitute it into the matrix formula [ΔP T ] m =[η] m×m [ΔN] m , we get [ΔN] m , where [η] m×mis the load conversion coefficient matrix of the servo steel support, [ΔN] m The virtual temperature axial load matrix of the servo steel support is applied; the virtual temperature matrix [ΔT] is obtained by converting ΔN = αΔTEA. m ; According to the virtual temperature matrix [ΔT] m Perform axial force adjustment.

[0009] Furthermore, step (1) includes:

[0010] (101) Collect engineering data, establish a three-dimensional model of foundation pit excavation, and perform construction simulation calculation of excavation depth H1; activate the first servo steel support and calculate the virtual temperature increment ΔT of the first servo steel support 1,1 The axial force increment ΔP of the first servo steel support 1,1 The load conversion factor η is determined according to ΔP=ηαEAΔT 1,1,1 And by setting the virtual temperature, the axial force of the first servo steel support is kept at the reference value P;

[0011] (102) Take m≥2 and excavate to a depth of H m Construction simulation calculation, excavation depth H m Corresponding to the number of layers of servo steel supports m that need to be installed;

[0012] (103) Take i = m, j = m, activate the servo steel support, and calculate the virtual temperature increment ΔT of the i-th servo steel support. i,m The axial force increment ΔP of the j-th servo steel support j,m The load conversion factor η is determined according to ΔP=ηαEAΔT j,i,m ;

[0013] (104) Take j = j-1, activate other servo steel supports, repeat step (103), and determine the load conversion coefficient η j,i,m , until j = 0;

[0014] (105) Take i = i-1, activate other servo steel supports, repeat steps (103) to (104), and determine the load conversion coefficient η j,i,m , until i = 0;

[0015] (106) Continue excavation to depth H m , m=m+1, repeat steps (102) to (104) until all servo steel supports are erected.

[0016] Furthermore, in step (101), the engineering data includes foundation pit engineering plan, stratigraphic profile, geotechnical parameters, and design and construction data of enclosure structures and supports.

[0017] Furthermore, in step (101), the establishment of a three-dimensional model of the foundation pit excavation project includes determining the geometric model size, finite element meshing, setting boundary conditions and load conditions, selecting the constitutive model and its parameters, dividing the excavation construction stages, and calculating and processing the initial state based on the general influence range of the foundation pit excavation.

[0018] Furthermore, in step (101), the excavation depth H1 is determined by the depth position of the servo steel support or the base depth.

[0019] Furthermore, in steps (101) and (103), the number of data groups is not less than 5.

[0020] Furthermore, η j,i,m The value reflects the foundation pit soil parameters, excavation depth H m , the axial force position of the j-th servo steel support, the loading position of the i-th servo steel support, the foundation pit retaining structure, and other supporting structure parameters.

[0021] Furthermore, in step (2), when i=j, the loading position and the support axial force position are the same, the load conversion coefficient η characterizes the axial force loss coefficient of the rigid support structure; when i≠j, the loading position and the support axial force position are different, the load conversion coefficient η reflects the coherence characteristics between different servo steel supports of the elastic support structure.

[0022] Furthermore, under the influence of axial force coherence, the axial force increment of the j-th servo steel support is equal to the sum of the product of the axial load increment of each servo steel support of the foundation pit structure and the corresponding load conversion coefficient. The actual axial force change of the j-th servo steel support is:

[0023] ΔP j,T,m =η j,1,m ΔN 1,m +η j,2,m ΔN 2,m +...+η j,i,m ΔN i,m +η j,i+1,m ΔN i+1,m +…+η j,m,m ΔN m,m

[0024] Where ΔP j,T,m is the axial force increment required for the j-th servo steel support in the simulation, ΔN i,m is the applied axial load of the servo steel support of the i-th track; the matrix formula [ΔP T ] m =[η] m×m [ΔN] m This is the expression of a superposition group in which j in the formula ranges from 1 to m.

[0025] The steel support servo system simulation system based on virtual temperature described in the present invention includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the steps of the steel support servo system simulation method based on virtual temperature are implemented.

[0026] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages:

[0027] The present invention combines the changes in the support structure during foundation pit excavation and utilizes the thermal expansion and contraction deformation principle of materials to propose a virtual temperature loading steel support servo system simulation method, which has the following advantages:

[0028] (1) A calculation method for the load conversion coefficient (virtual temperature-support axial force coefficient) is proposed. In the past, the axial load of the support was applied only through external loads, and the area, position and force of the external load needed to be specified. The key problem was that the influence of the elastic compression deformation of the steel support on the load transfer of the structural system was ignored, and the external load acting on the support position was mistakenly believed to be the support axial force, confusing the difference between axial force and load. Therefore, there is no method for calculating the load conversion coefficient of the steel support structure. In addition, the multiple and multi-level loading method of the steel support servo system is an internal action of the system, which is significantly different from the single application method of external action. The present invention proposes a calculation method for the load conversion coefficient (virtual temperature-support axial force coefficient) by establishing a three-dimensional deep foundation pit excavation model, and then the virtual temperature increment of the steel support rod can be adjusted multiple times to induce the expansion strain of the steel support, thereby realizing multiple application of loads; the relationship between the support axial force and the virtual temperature is used to clarify the distinction between axial force and load.

[0029] (2) The conceptual distinction between virtual temperature axial load and structural support axial internal force is clarified. Although the main body of the virtual temperature axial load and the structural support axial internal force is the supporting structure, the virtual temperature expansion and contraction deformation is the load effect, and the support axial force generated by it is the internal force, which is a force that opposes the load effect. The present invention simulates and calculates the excavation process of a three-dimensional foundation pit excavation model, considers the influence of the deformation of the steel support structure on the load transfer, uses virtual temperature to express the load increment, extracts the virtual temperature and axial force separately, and then clarifies the difference between the axial load and the axial force.

[0030] (3) The coherence law of the axial forces of multiple servo steel supports is revealed. In the deep foundation pit retaining structure system, the axial forces of multiple servo steel supports affect each other and share external loads. The present invention simulates and calculates the excavation process of a three-dimensional foundation pit excavation model, taking into account the influence of the deformation of the steel support structure on load transfer. The load conversion coefficient matrix related to the virtual temperature axial load of the steel support and the support axial force of the foundation pit with different excavation depths is used to reveal the coherence law of the axial forces of multiple servo steel supports. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a schematic diagram of the support head structure of the steel support servo system;

[0032] Figure 2 is a flow chart for calculating the load conversion coefficient of each servo steel support in an embodiment of the present invention;

[0033] Figure 3 is a graph showing the relationship between the virtual temperature and the servo steel support loading in an embodiment of the present invention;

[0034] Figure 4 is a relationship diagram between the servo steel support axial force and the servo steel support loading at different excavation depths in an embodiment of the present invention, wherein Figure 4 (a) Excavation depth is 7.3m, Figure 4 (b) Excavation depth is 10.8m, Figure 4 (c) Excavation depth is 13.8m, Figure 4 (d) The excavation depth is 17.3m. DETAILED DESCRIPTION

[0035] The technical concept of the present invention is: in the simulation calculation process, the axial loading effect of the steel support is realized by adjusting the virtual temperature, thereby first establishing the relationship between the support axial force and the virtual temperature, and then calculating the load conversion coefficient between multiple supports, and finally completing the axial force adjustment by increasing the virtual temperature to achieve the axial force design target value.

[0036] The present invention will be further described below with reference to the accompanying drawings.

[0037] An embodiment of the present invention provides a steel support servo system simulation method based on virtual temperature, which specifically includes the following steps:

[0038] (1) Establish a finite element model for the foundation pit project, determine the virtual temperature increment ΔT and the axial force increment ΔP of each servo steel support according to the excavation depth, and determine the load conversion coefficient η of each servo steel support according to formula (3) j,i,m (η j,i,m is the conversion coefficient from the structural system to the axial force of the jth servo steel support when the axial load is applied to the i-th servo steel support under virtual temperature, that is, the load conversion coefficient), j is the inspection channel number of the servo system steel support axial force value, i is the inspection channel number of the servo system steel support virtual temperature loading, m is the channel number of the servo system steel support that needs to be installed in the existing excavation pit, i≤m, j≤m;

[0039] Combine Figure 2 , step (1) specifically includes:

[0040] (101) Collect engineering data, including foundation pit engineering plan, stratigraphic profile, geotechnical parameters, design of retaining structures and supports, construction data, etc. Build a three-dimensional model of the foundation pit engineering excavation, including determining the geometric model size based on the general impact range of the foundation pit excavation, finite element meshing, setting boundary conditions and load conditions, selecting the constitutive model and its parameters, dividing the excavation construction phases, etc., as well as calculating and processing the initial state.

[0041] Perform construction simulation calculations for the excavation depth H1, which is determined by the depth position of the servo steel support or the base depth.

[0042] Activate the first servo steel support and calculate the virtual temperature increment ΔT of the first servo steel support 1,1 The axial force increment ΔP of the first servo steel support 1,1 The number of data groups shall not be less than 5. Determine the load conversion coefficient η according to formula (3) 1,1,1 And the axial force of the first servo steel support is kept at the reference value P by setting the virtual temperature.

[0043] (102) Take m≥2 and excavate to a depth of H m Construction simulation calculation, excavation depth H m Corresponding to the number of layers of servo steel supports m that need to be installed;

[0044] (103) Take i = m, j = m, activate the servo steel support, and calculate the virtual temperature increment ΔT of the i-th servo steel support. i,m The axial force increment ΔP of the j-th servo steel support j,m The number of data groups shall not be less than 5. Determine the load conversion coefficient η according to formula (3) j,i,m ;

[0045] (104) Take j = j-1, activate other servo steel supports, repeat step (103), and determine the load conversion coefficient η j,i,m , until j = 0;

[0046] (105) Take i = i-1, activate other servo steel supports, repeat steps (103) to (104), and determine the load conversion coefficient η j,i,m , until i = 0;

[0047] (106) Continue excavation to depth H m , m=m+1, repeat steps (102) to (104) until all servo steel supports are erected.

[0048] Determine the relationship between the axial force of the steel support erection and the virtual temperature load:

[0049] First, the basic theory of servo steel support load application by adjusting the virtual temperature of the steel support is the thermodynamic principle of the steel support material, namely:

[0050] ΔN=αΔTEA (1)

[0051] Where ΔN is the incremental value of the thermal expansion load of the steel support; α is the thermal expansion coefficient, which is 1.2×10 -5 / ℃; ΔT is the virtual temperature change; E is the elastic modulus of the steel support, and A is the cross-sectional area of ​​the steel support;

[0052] Then, the load conversion coefficient η is obtained. The basic theory is that the stress-strain relationship of the steel support structure still conforms to the elastic theory. That is, when the support load is not very large, the relationship between the axial load increment ΔN and the axial force increment is still linear, and a linear equation should be used for fitting, that is,

[0053] ΔP=ηΔN (2)

[0054] Among them, ΔP is the increment of the axial force of the steel support; ΔN is the increment of the axial load of the steel support; η is the proportional coefficient of the conversion of the axial load increment of the steel support from the structural system to the axial force of the steel support, that is, the load conversion coefficient.

[0055] Finally, by substituting equation (1) into equation (2), we can obtain the linear relationship between the virtual temperature increment ΔT and the steel support axial force increment ΔP, namely:

[0056] ΔP=ηαEAΔT (3)

[0057] The load conversion coefficient η in formula (3) is a three-dimensional model structure of the foundation pit excavation established based on the foundation pit field data. Through numerical simulation calculation, when the foundation pit is excavated to a specific support depth H m When the mth servo steel support is activated, the load conversion coefficient η of the jth servo steel support is determined by the relationship between the virtual temperature increment ΔT and the axial force increment ΔP, that is, η=η j,i,m , so η j,i,m The value reflects the foundation pit soil parameters, excavation depth H m , the axial force position of the j-th servo steel support, the loading position of the i-th servo steel support, the foundation pit retaining structure, and other supporting structure parameters.

[0058] (2) The maximum number of supports that should be erected is m, corresponding to the excavation depth H. m When i=j, the loading position and the support axial force position are the same, and the load conversion coefficient η represents the axial force loss coefficient of the rigid support structure; when i≠j, the loading position and the support axial force position are different, and the load conversion coefficient η reflects the coherence characteristics between different servo steel supports of the elastic support structure.

[0059] Under the influence of axial force coherence, the axial force increment of the j-th servo steel support is equal to the sum of the product of the axial load increment of each servo steel support of the foundation pit structure and the corresponding load conversion coefficient. The actual axial force change of the j-th servo steel support is:

[0060] ΔP j,T,m =η j,1,m ΔN 1,m +η j,2,m ΔN 2,m +…+η j,i,m ΔN i,m +η j,i+1,m ΔN i+1,m +…+η j,m,m ΔN m,m (4)

[0061] Where ΔP j,T,m is the axial force increment required for the j-th servo steel support in the simulation, ΔN i,m is the applied axial load of the servo steel support of the i-th track;

[0062] The axial force increment required by the servo steel support [ΔP T ] m for:

[0063] [ΔP T ] m =[P] a -[P] t (5)

[0064] Among them, [P] a Set the target value for the axial force of the servo steel support, [P] t is the measured value of the axial force of the servo steel support;

[0065] Let j in formula (4) be 1 to m, and write it in matrix form:

[0066] [ΔP T ] m =[η] m×m [ΔN] m (6)

[0067] Among them, [ΔP T ] m is the axial force increment matrix required for the servo steel support, [η] m×m is the load conversion coefficient matrix of the servo steel support, [ΔN] m is the applied virtual temperature axial load matrix of the servo steel support, m servo steel supports;

[0068] Substituting formula (5) into formula (6), we get [ΔN] m .

[0069] Then, we can convert the virtual temperature matrix [ΔT] by formula (1) m , according to the virtual temperature matrix [ΔT] m Perform axial force adjustment.

[0070] An embodiment of the present invention also provides a steel support servo system simulation system based on virtual temperature, including a memory and a processor, wherein a computer program is stored in the memory. When the computer program is executed by the processor, the steps of the steel support servo system simulation method based on virtual temperature described in the embodiment of the present invention are implemented.

[0071] A specific example is given below.

[0072] The foundation pit retaining structure of the main structure of a station has six vertical supports in the standard section, of which the first one is made of concrete and the other five are made of servo steel supports. The material parameters are shown in Table 1.

[0073] Table 1 Material parameters of support structure

[0074]

[0075] Parameter acquisition:

[0076] ΔN=αΔTEA

[0077] Where ΔN is the incremental value of the thermal expansion load of the steel support; α is the thermal expansion coefficient, which is 1.2×10 -5 / ℃; ΔT is the virtual temperature change; E=210GPa; for The cross-sectional area A of the steel pipe support with t=16mm is 0.0298m 2 ;for The cross-sectional area A of the steel pipe support with t=0.016 is 0.0394m 2 ;

[0078] Calculate the load conversion factor η, combined with Figure 4 , when the excavation depth is 7.3m, η 1,1,1 =0.2532; when excavated to a depth of 10.8m, η 1,1,2 =0.4396,η 2,2,2 =0.3462; when excavated to a depth of 13.8m, η 1,1,3 =0.4407,η 2,2,3 =0.5605,η 3,3,3 =0.3092; when excavated to a depth of 17.3m, η 1,1,4 =0.4395,η 2,2,4 =0.5594,η 3,3,4 =0.4835,η 4,4,4 =0.3570.

[0079] from Figure 3 It can be seen that there is a significant linear relationship between the axial force of the servo steel support and the virtual temperature. After the steel support is erected, as the excavation depth increases, the load conversion coefficient η of each support increases. Until the lower support is erected and the lever principle effect is produced, the load conversion coefficient η at the upper servo steel support tends to be stable.

[0080] Table 2 Values ​​of load conversion coefficient η of each servo steel support structure at different excavation depths

[0081]

[0082]

[0083] Loading and axial force adjustment:

[0084] When the excavation depth is 13.8m, the servo steel supports have the second, third and fourth levels, i.e. m=3, i,j=1,2,3.

[0085] The matrix for calculating the load conversion coefficient η of the servo steel support structure is:

[0086]

[0087] Before the fourth support is loaded, the axial forces of the second, third, and fourth supports are 1653.7kN, 2102.4kN, and 0kN, respectively. After the fourth support is loaded, the design target axial forces of the second, third, and fourth supports are 1600kN, 1700kN, and 2100kN, respectively. Therefore, the target value of the axial force of the servo steel support is set to [P]. a , measured value of axial force of servo steel support [P] t , then the axial force increment required for the servo steel support is obtained from formula (5):

[0088]

[0089] Substituting equations (7) and (8) into equation (6) and solving the equations, we can obtain the loading increment:

[0090]

[0091] Combining the relationship between virtual temperature and servo steel support load, the virtual temperature is converted to:

[0092]

[0093] To simulate the installation and loading process of the fourth support, in the model, a temperature of 92.15°C needs to be applied to the second support, a temperature of 112.85°C needs to be applied to the third support, and a temperature of 144.42°C needs to be applied to the fourth support. Through finite element calculations, the axial forces of the second, third, and fourth supports after the temperatures are applied are 1575.9 kN, 1728 kN, and 2110.3 kN, respectively. The error compared with the axial force target is no more than 2%. Therefore, the present invention can more accurately simulate the process of the steel support servo system loading the new support when the new support is installed and ensuring that the axial force of the original support is not lower than the set value.

Claims

1. A steel support servo system simulation method based on virtual temperature, characterized in that: include: (1) Establish a finite element model for the foundation pit project, determine the virtual temperature increment ΔT and the axial force increment ΔP of each servo steel support according to the excavation depth, and determine the load conversion coefficient η of each servo steel support according to ΔP = ηαEAΔT j,i,m , where α is the thermal expansion coefficient, E is the elastic modulus of the steel support, A is the cross-sectional area of ​​the steel support, j is the inspection track number of the servo system steel support axial force value, i is the inspection track number of the servo system steel support virtual temperature loading, m is the track number of the servo system steel support that needs to be installed in the existing excavation pit, i≤m, j≤m; (2) The axial force increment required by the servo steel support [ΔP T ] m =[P] a -[P] t , where [P] a Set the target value for the axial force of the servo steel support, [P] t is the measured value of the axial force of the servo steel support; substitute it into the matrix formula [ΔP T ] m =[η] m×m [ΔN] m , we get [ΔN] m , where [η] m×m is the load conversion coefficient matrix of the servo steel support, [ΔN] m The virtual temperature axial load matrix of the servo steel support is applied; the virtual temperature matrix [ΔT] is obtained by converting ΔN = αΔTEA. m ; According to the virtual temperature matrix [ΔT] m Perform axial force adjustment; Step (1) includes: (101) Collect engineering data, establish a three-dimensional model of foundation pit excavation, and perform construction simulation calculation of excavation depth H1; activate the first servo steel support and calculate the virtual temperature increment ΔT of the first servo steel support 1,1 The axial force increment ΔP of the first servo steel support 1,1 The load conversion factor η is determined according to ΔP=ηαEAΔT 1,1,1 And by setting the virtual temperature, the axial force of the first servo steel support is kept at the reference value P; (102) Take m≥2 and excavate to a depth of H m Construction simulation calculation, excavation depth H m Corresponding to the number of layers of servo steel supports m that need to be installed; (103) Take i = m, j = m, activate the servo steel support, and calculate the virtual temperature increment ΔT of the i-th servo steel support. i,m The axial force increment ΔP of the j-th servo steel support j,m The load conversion factor η is determined according to ΔP=ηαEAΔT j,i,m ; (104) Take j = j-1, activate other servo steel supports, repeat step (103), and determine the load conversion coefficient η j,i,m , until j = 0; (105) Take i = i-1, activate other servo steel supports, repeat steps (103) to (104), and determine the load conversion coefficient η j,i,m , until i = 0; (106) Continue excavation to depth H m , m=m+1, repeat steps (102) to (104) until all servo steel supports are erected.

2. The steel support servo system simulation method based on virtual temperature according to claim 1, characterized in that: In step (101), the engineering data includes foundation pit engineering plan, stratigraphic profile, geotechnical parameters, and design and construction data of enclosure structures and supports.

3. The steel support servo system simulation method based on virtual temperature according to claim 1, characterized in that: In step (101), the three-dimensional model of the foundation pit excavation is established, including determining the geometric model size, finite element mesh generation, setting boundary conditions and load conditions, selecting the constitutive model and its parameters, dividing the excavation construction stages, and calculating and processing the initial state according to the general influence range of the foundation pit excavation.

4. The steel support servo system simulation method based on virtual temperature according to claim 1, characterized in that: In step (101), the excavation depth H1 is determined by the depth position of the servo steel support or the base depth.

5. The steel support servo system simulation method based on virtual temperature according to claim 1, characterized in that: In steps (101) and (103), the number of data groups is not less than 5.

6. The steel support servo system simulation method based on virtual temperature according to claim 1, characterized in that: η j,i,m The value reflects the foundation pit soil parameters, excavation depth H m , the axial force position of the j-th servo steel support, the loading position of the i-th servo steel support, the foundation pit retaining structure, and other supporting structure parameters.

7. The steel support servo system simulation method based on virtual temperature according to claim 1, characterized in that: In step (2), when i=j, the loading position and the support axial force position are the same, the load conversion coefficient η represents the axial force loss coefficient of the rigid support structure; when i≠j, the loading position and the support axial force position are different, the load conversion coefficient η reflects the coherence characteristics between different servo steel supports of the elastic support structure.

8. The steel support servo system simulation method based on virtual temperature according to claim 7, characterized in that: Under the influence of axial force coherence, the axial force increment of the j-th servo steel support is equal to the sum of the product of the axial load increment of each servo steel support of the foundation pit structure and the corresponding load conversion coefficient. The actual axial force change of the j-th servo steel support is: ΔP j,T,m =the j,1,m ΔN 1,m +n j,2,m ΔN 2,m +...+h j,i,m ΔN i,m +n j,i+1,m ΔN i+1,m +...+h j,m,m ΔN m,m Where ΔP j,T,m is the axial force increment required for the j-th servo steel support in the simulation, ΔN i,m is the applied axial load of the servo steel support of the i-th track; the matrix formula [ΔP T ] m =[η] m×m [ΔN] m This is the expression of a superposition group in which j in the formula ranges from 1 to m.

9. A steel support servo system simulation system based on virtual temperature, comprising a memory and a processor, wherein a computer program is stored in the memory, characterized in that: When the computer program is executed by a processor, the steps of the steel support servo system simulation method based on virtual temperature according to any one of claims 1 to 8 are implemented.

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