Raft building slurry ball lifting method and system based on numerical simulation

Abstract

The invention relates to the technical field of building foundation reinforcement and deviation rectification, and provides a raft building slurry ball lifting method and system based on numerical simulation, and the method comprises the steps: obtaining the initial settlement displacement of a building; selecting a plurality of displacement monitoring points on the raft in the area with the maximum initial settlement displacement; spherical entities are arranged at different depths below the displacement monitoring point with the maximum initial settlement displacement of the raft; different loads are applied to all the spherical entities at different depths, the grouting foam expansion lifting force is simulated to achieve first simulation lifting, and the optimal lifting depth is determined; a plurality of spherical entities are horizontally arranged at the position of the optimal lifting depth at intervals, loads are applied to the spherical entities, grouting foam expansion lifting force is simulated to achieve second-time simulation lifting, the second-time simulation lifting is composed of multiple batches of lifting, and simulation lifting is completed after the optimal lifting effect is obtained. According to the invention, the spherical entity is used for simulating the process of forming the slurry bubbles and lifting the slurry bubbles, which is more suitable for theory and reality and has persuasive force.

Description

Technical Field

[0001] The invention relates to the technical field of building foundation reinforcement and deviation correction, and in particular to a slurry ball lifting method and system for a raft building based on numerical simulation. Background Art

[0002] At present, the construction of high-rise buildings is increasing day by day, resulting in increasingly serious problems such as various uneven settlements of structures. Among them, the compaction grouting technology can effectively cause ground uplift, and has the advantages of economy, high efficiency, and environmental protection. It is widely used in building reinforcement and lifting projects. However, for compaction grouting to have a lifting effect, it is very important to choose a suitable grouting depth. If it is too shallow, it is easy to damage the foundation and other structures; if it is too deep, the pressure provided by the slurry bubbles is not enough to lift the soil. At the same time, during the lifting process, how to control the size of the grouting lifting force so that the building can be lifted smoothly and ensure the safety of the underground foundation is also a difficult problem. The previous numerical simulation lifting method was to apply the expansion rate in the settlement soil area, which has a certain gap with the actual grouting lifting effect of the project, and cannot fit the theory and practice. The simulated lifting effect is not convincing. Summary of the invention

[0003] The purpose of the present invention is to solve at least one technical problem in the background technology and to provide a method and system for lifting a slurry ball of a raft building based on numerical simulation.

[0004] To achieve the above object, the present invention provides a slurry ball lifting method for a raft building based on numerical simulation, comprising: Based on the Midas-gts numerical modeling system, an initial building model representing the building that has undergone settlement is established, and the initial settlement displacement of the building is obtained according to the initial building model; Select multiple displacement monitoring points on the raft in the area with the largest initial settlement displacement; Spherical entities are arranged at different depths below the displacement monitoring point where the initial settlement displacement of the raft is the largest, and the spherical entities are used to simulate the grout bubbles formed during the grouting process. Apply different loads on each spherical entity to simulate the lifting force of grouting bubble expansion to achieve the first simulated lifting, and determine the optimal lifting depth based on the result of the first simulated lifting; A plurality of spherical entities are arranged horizontally at intervals at the optimal lifting depth, and loads are applied to the spherical entities to simulate the lifting force of the grouting slurry bubble expansion to achieve a second simulated lifting. The second simulated lifting consists of multiple batches of lifting, and the simulated lifting is completed after the optimal lifting effect is obtained through multiple batches of lifting.

[0005] According to one aspect of the present invention, the displacement monitoring points are arranged at intervals on the connection between the raft slab and the vertical force-bearing components of the building.

[0006] According to one aspect of the present invention, the radius of the spherical entity is 1.5m, the vertical depth of the center of the first spherical entity is 2.5m, and then a spherical entity is arranged every 3.5m in vertical depth until it reaches the hard soil layer.

[0007] According to one aspect of the present invention, the optimal lifting depth is determined according to the result of the first simulated lifting: After applying different loads to the spherical entities at different depths, different displacement uplift data of each displacement monitoring point are collected to form multiple groups of displacement line graphs with the horizontal axis being the displacement monitoring point position and the vertical axis being the raft settlement displacement value that can reflect the displacement uplift data. The optimal lifting depth is determined based on the data trend of each group of displacement line graphs.

[0008] According to one aspect of the present invention, the optimal lifting depth is determined according to the data trend of each group of displacement line graphs as follows: When a load is applied to a spherical entity, if the lift changes significantly with the increase of the load, and after the lift, the displacement lines of each displacement monitoring point are smooth, then the depth corresponding to the spherical entity is the optimal lift depth.

[0009] According to one aspect of the present invention, the multi-batch lifting at least includes: In the first lifting, different first loads are applied from the spherical entity corresponding to the area with the maximum initial settlement displacement, and the corresponding simulated lifting results are obtained by trial calculation of each applied first load through the initial building model. The displacement line graph with the best stability is obtained according to the simulated lifting results, and the first load with the best simulated lifting effect is obtained according to the displacement line graph with the best stability; At least one second lifting is performed, and different second loads are applied to multiple spherical entities arranged at intervals horizontally at the same time. The initial building model is used to calculate the applied second loads to obtain the corresponding simulated lifting results, and a displacement line graph with optimal smoothness is obtained according to the simulated lifting results. According to the displacement line graph with optimal smoothness, the second load with optimal simulated lifting effect is obtained.

[0010] To achieve the above object, the present invention also provides a slurry ball lifting system for raft buildings based on numerical simulation, comprising: An initial settlement displacement acquisition module, based on the Midas-gts numerical modeling system, establishes an initial building model representing the building that has undergone settlement, and acquires the initial settlement displacement of the building according to the initial building model; The displacement monitoring point arrangement module selects multiple displacement monitoring points on the raft in the area with the largest initial settlement displacement; A spherical entity vertical depth arrangement module arranges spherical entities at different depths below the displacement monitoring point where the initial settlement displacement of the raft is the largest, and uses the spherical entities to simulate the grout bubbles formed during the grouting process; The optimal lifting depth determination module applies different loads on each spherical entity, simulates the lifting force of the grouting bubble expansion to achieve the first simulated lifting, and determines the optimal lifting depth based on the result of the first simulated lifting; The optimal lifting simulation module arranges multiple spherical entities at horizontal intervals at the optimal lifting depth, applies loads on the spherical entities, and simulates the lifting force of the grouting slurry bubble expansion to achieve a second simulated lifting. The second simulated lifting consists of multiple batches of lifting, and the simulated lifting is completed after the optimal lifting effect is obtained through multiple batches of lifting.

[0011] To achieve the above objectives, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the slurry ball lifting method for raft buildings based on numerical simulation as described above is implemented.

[0012] To achieve the above objectives, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the slurry ball lifting method for raft buildings based on numerical simulation as described above.

[0013] According to the scheme of the present invention, starting from the grouting lifting mechanism, the present invention uses a spherical entity to add reverse pressure (expansion lifting force) to simulate the process of grouting to form a slurry ball and lift it, which is more in line with theory and practice and more convincing; The present invention applies reverse pressure (expansion lifting force) to spherical entities at different vertical depths and observes the changes and rules of the displacement, thereby determining the optimal lifting depth more conveniently and quickly, simplifying the solution process of the grouting lifting depth, and ensuring the safety and economy of the lifting process; The present invention applies reverse pressure to multiple horizontal spherical entities in batches and calculates the optimal lifting force of each batch through a model to simulate the regional and phased lifting process during construction. In this way, the grouting lifting force can be controlled, so that the building can be lifted smoothly and damage to the building caused by excessive lifting can be avoided. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A flow chart schematically showing a method for lifting a slurry ball of a raft building based on numerical simulation according to an embodiment of the present invention; Figure 2 The three-dimensional image of the initial model of the building in Example 1; Figure 3 It is a cross-sectional view of a large area of ​​building settlement in Example 1; Figure 4 The raft settlement displacement diagram of the building in Example 1; Figure 5 The plan layout diagram of the building monitoring points of Example 1; Figure 6 This is a schematic diagram of the vertical arrangement of spheres in Example 1; Figure 7 is a displacement line graph of ball b1 of Example 1 under different loads; Figure 8 is a displacement line graph of ball b2 of Example 1 under different loads; Fig. 9 is a displacement line graph of ball b3 of Example 1 under different loads; Fig.10 is a displacement line graph of ball b4 of Example 1 under different loads; Fig.11 It is a schematic diagram of a horizontally arranged spherical entity of Example 1; Fig.12 This is a load diagram for the first lifting of the spherical entity in Example 1; Fig.13 This is the load diagram for the first and second lifting of the spherical entity in Example 1; Fig.14 This is the load diagram for the second lifting of the spherical entity in Example 1; Fig.15 This is the displacement plane diagram of each monitoring point after the first lifting of Example 1; Fig.16 This is the displacement plane diagram of each monitoring point after the first and second lifting of Example 1; Fig.17 This is the displacement plane diagram of each monitoring point after the second lifting of the second time in Example 1; Fig.18 It is a displacement line graph of the entire lifting process of Example 1. DETAILED DESCRIPTION

[0015] The content of the present invention will now be discussed with reference to exemplary embodiments. It should be understood that the embodiments discussed are only to enable those skilled in the art to better understand and thus implement the content of the present invention, rather than implying any limitation on the scope of the present invention.

[0016] As used herein, the term “including” and variations thereof are to be interpreted as open-ended terms meaning “including, but not limited to.” The term “based on” is to be interpreted as “based, at least in part, on.” The terms “one embodiment” and “an embodiment” are to be interpreted as “at least one embodiment.”

[0017] Figure 1 The flowchart of the method for lifting the slurry ball of a raft building based on numerical simulation according to one embodiment of the present invention is schematically shown. Figure 1 As shown, in this embodiment, the slurry ball lifting method of the raft building based on numerical simulation includes: Based on the Midas-gts numerical modeling system, an initial building model representing the building that has undergone settlement is established, and the initial settlement displacement of the building is obtained according to the initial building model; Select multiple displacement monitoring points on the raft in the area with the largest initial settlement displacement; Spherical entities are arranged at different depths below the displacement monitoring point where the initial settlement displacement of the raft is the largest, and the spherical entities are used to simulate the grout bubbles formed during the grouting process. Apply different loads on each spherical entity to simulate the lifting force of grouting bubble expansion to achieve the first simulated lifting, and determine the optimal lifting depth based on the result of the first simulated lifting; A plurality of spherical entities are arranged horizontally at intervals at the optimal lifting depth, and loads are applied to the spherical entities to simulate the lifting force of the grouting slurry bubble expansion to achieve a second simulated lifting. The second simulated lifting consists of multiple batches of lifting, and the simulated lifting is completed after the optimal lifting effect is obtained through multiple batches of lifting.

[0018] Further, according to an embodiment of the present invention, the displacement monitoring points are arranged at intervals on the connection between the raft and the vertical force-bearing components of the building.

[0019] Further, according to an embodiment of the present invention, the radius of the spherical entity is 1.5m, the vertical depth of the center of the first spherical entity is 2.5m, and then a spherical entity is arranged every 3.5m in the vertical depth until the hard soil layer is reached. In this embodiment, the hard soil layer generally refers to the rock layer. When the rock layer is very deep and not displayed in the geological survey, the following can be regarded as the hard soil layer: Clay (clay), compression modulus greater than 5MPa; Silt, compression modulus greater than 10MPa; Sand, compression modulus greater than 30MPa.

[0020] Further, according to an embodiment of the present invention, the optimal lifting depth is determined according to the result of the first simulated lifting: After applying different loads to the spherical entities at different depths, different displacement uplift data of each displacement monitoring point are collected to form multiple groups of displacement line graphs with the horizontal axis being the displacement monitoring point position and the vertical axis being the raft settlement displacement value that can reflect the displacement uplift data. The optimal lifting depth is determined based on the data trend of each group of displacement line graphs.

[0021] Further, according to an embodiment of the present invention, based on the data trend of each group of displacement line graphs, the optimal lifting depth is determined as: When a load is applied to a spherical entity, if the lift changes significantly with the increase of the load, and after the lift, the displacement lines of each displacement monitoring point are smooth, then the depth corresponding to the spherical entity is the optimal lift depth.

[0022] Further, according to one embodiment of the present invention, the multi-batch lifting at least includes: In the first lifting, different first loads are applied from the spherical entity corresponding to the area with the maximum initial settlement displacement, and the corresponding simulated lifting results are obtained by trial calculation of each applied first load through the initial building model. The displacement line graph with the best stability is obtained according to the simulated lifting results, and the first load with the best simulated lifting effect is obtained according to the displacement line graph with the best stability; At least one second lifting is performed, and different second loads are applied to multiple spherical entities arranged at intervals horizontally at the same time. The initial building model is used to calculate the applied second loads to obtain the corresponding simulated lifting results, and a displacement line graph with optimal smoothness is obtained according to the simulated lifting results. According to the displacement line graph with optimal smoothness, the second load with optimal simulated lifting effect is obtained.

[0023] In this embodiment, the number of times of the second lifting can be determined according to the actual lifting requirements of the project.

[0024] In this embodiment, the optimal simulated lifting effect is measured based on the standard deviation of each set of displacement data samples. The smaller the standard deviation, the more concentrated the settlement displacement data after lifting. Therefore, the above displacement line graph is smoother, indicating that the grouting reinforcement lifting in this area is more stable and will not cause damage to the raft slab.

[0025] The standard deviation formula is as follows: ; ; Where: S is the sample standard deviation; N is the number of sample data; is the i-th sample data; is the sample mean.

[0026] According to the above scheme of the present invention, the present invention starts from the grouting lifting mechanism and uses a spherical entity to add reverse pressure (expansion lifting force) to simulate the process of grouting to form a slurry ball and lift it, which is more in line with theory and practice and more convincing; The present invention applies reverse pressure (expansion lifting force) to spherical entities at different vertical depths and observes the changes and rules of the displacement, thereby determining the optimal lifting depth more conveniently and quickly, simplifying the solution process of the grouting lifting depth, and ensuring the safety and economy of the lifting process; The present invention applies reverse pressure to multiple horizontal spherical entities in batches and calculates the optimal lifting force of each batch through a model to simulate the regional and phased lifting process during construction. In this way, the grouting lifting force can be controlled, so that the building can be lifted smoothly and damage to the building caused by excessive lifting can be avoided.

[0027] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a slurry ball lifting system for raft buildings based on numerical simulation, comprising: An initial settlement displacement acquisition module, based on the Midas-gts numerical modeling system, establishes an initial building model representing the building that has undergone settlement, and acquires the initial settlement displacement of the building according to the initial building model; The displacement monitoring point arrangement module selects multiple displacement monitoring points on the raft in the area with the largest initial settlement displacement; A spherical entity vertical depth arrangement module arranges spherical entities at different depths below the displacement monitoring point where the initial settlement displacement of the raft is the largest, and uses the spherical entities to simulate the grout bubbles formed during the grouting process; The optimal lifting depth determination module applies different loads on each spherical entity, simulates the lifting force of the grouting bubble expansion to achieve the first simulated lifting, and determines the optimal lifting depth based on the result of the first simulated lifting; The optimal lifting simulation module arranges multiple spherical entities at horizontal intervals at the optimal lifting depth, applies loads on the spherical entities, and simulates the lifting force of the grouting slurry bubble expansion to achieve a second simulated lifting. The second simulated lifting consists of multiple batches of lifting, and the simulated lifting is completed after the optimal lifting effect is obtained through multiple batches of lifting.

[0028] Further, according to an embodiment of the present invention, the displacement monitoring points are arranged at intervals on the connection between the raft and the vertical force-bearing components of the building.

[0029] Further, according to one embodiment of the present invention, the radius of the spherical entity is 1.5m, the vertical depth of the center of the first spherical entity is 2.5m, and then a spherical entity is arranged every 3.5m in vertical depth until a hard soil layer with a larger compression modulus is reached.

[0030] Further, according to an embodiment of the present invention, the optimal lifting depth is determined according to the result of the first simulated lifting: After applying different loads to the spherical entities at different depths, different displacement uplift data of each displacement monitoring point are collected to form multiple groups of line graphs with the horizontal axis being the displacement monitoring point position and the vertical axis being the raft settlement displacement value that can reflect the displacement uplift data. The optimal lifting depth is determined based on the data trend of each group of line graphs.

[0031] Further, according to an embodiment of the present invention, based on the data trends of each group of line graphs, the optimal lifting depth is determined as: When a load is applied to a spherical entity, if the lift changes significantly with the increase of the load, and after the lift, the displacement lines of each displacement monitoring point are smooth, then the depth corresponding to the spherical entity is the optimal lift depth.

[0032] Further, according to one embodiment of the present invention, the multi-batch lifting at least includes: In the first lifting, different first loads are applied from the spherical entity corresponding to the area with the maximum initial settlement displacement, and the corresponding simulated lifting results are obtained by trial calculation of each applied first load through the initial building model. The displacement line graph with the best stability is obtained according to the simulated lifting results, and the first load with the best simulated lifting effect is obtained according to the displacement line graph with the best stability; At least one second lifting is performed, and different second loads are applied to multiple spherical entities arranged at intervals horizontally at the same time. The initial building model is used to calculate the applied second loads to obtain the corresponding simulated lifting results, and a displacement line graph with optimal smoothness is obtained according to the simulated lifting results. According to the displacement line graph with optimal smoothness, the second load with optimal simulated lifting effect is obtained.

[0033] In this embodiment, the number of times of the second lifting can be determined according to the actual lifting requirements of the project.

[0034] In this embodiment, the optimal simulated lifting effect is measured based on the standard deviation of each set of displacement data samples. The smaller the standard deviation, the more concentrated the settlement displacement data after lifting. Therefore, the above displacement line graph is smoother, indicating that the grouting reinforcement lifting in this area is more stable and will not cause damage to the raft slab.

[0035] The standard deviation formula is as follows: ; ; Where: S is the sample standard deviation; N is the number of sample data; is the i-th sample data; is the sample mean.

[0036] According to the above scheme of the present invention, the present invention starts from the grouting lifting mechanism and uses a spherical entity to add reverse pressure (expansion lifting force) to simulate the process of grouting to form a slurry ball and lift it, which is more in line with theory and practice and more convincing; The present invention applies reverse pressure (expansion lifting force) to spherical entities at different vertical depths and observes the changes and rules of the displacement, thereby determining the optimal lifting depth more conveniently and quickly, simplifying the solution process of the grouting lifting depth, and ensuring the safety and economy of the lifting process; The present invention applies reverse pressure to multiple horizontal spherical entities in batches and calculates the optimal lifting force of each batch through a model to simulate the regional and phased lifting process during construction. In this way, the grouting lifting force can be controlled, so that the building can be lifted smoothly and damage to the building caused by excessive lifting can be avoided.

[0037] Furthermore, to achieve the above-mentioned purpose, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the slurry ball lifting method for raft buildings based on numerical simulation as described above is implemented.

[0038] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the slurry ball lifting method for a raft building based on numerical simulation as described above is implemented.

[0039] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiment described herein is only an optimal embodiment of the present invention and is only used to explain the present invention, and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0040] Example 1

[0041] A garden house, the west unit is seven floors, the other three units are six floors, and there is one underground floor. The building faces 16.3 degrees south-east, the building height is 19.7 meters, the total construction area is 4357.71 square meters, and the number of households is 24. There is a community courtyard on the south side of the building. The positive and negative zero elevation of Building 19 is equivalent to an absolute elevation of 21.0m. The structural form is a reinforced concrete shear wall structure, raft foundation, the raft is 67.5m long, 19.2m wide, 400mm thick, the raft thickness is 800mm in the shaded part on the north side, and the raft thickness is 600mm in the shaded part on the south side. The raft top elevation is -4.5 meters (structural elevation). The designed foundation treatment adopts crushed stone backfill compaction, and the foundation bearing capacity characteristic value fak=140kPa.

[0042] The reasons for uneven settlement are as follows: ① The bearing layer under the raft foundation of Building 19 may be plain fill, which is not dense and may be the cause of uneven settlement; ② From the geological profiles of the north and south sides of the building, it can be seen that the silt layer under the foundation on the south side of the building is thicker, while the soil quality of the foundation on the north side of the building is better than that on the south side. The silt layer is soft and plastic with low bearing capacity, which may also be the reason for the uneven settlement.

[0043] The foundation design parameters in geological survey are shown in Table 1 below: Table 1:

[0044] Modeling and analysis of buildings with raft foundations were carried out to verify the feasibility of the actual grouting lifting construction plan and provide a reference example for similar projects: Step 1: Form an initial model. According to geological survey data, construction drawings and other information, establish stratum and building models, input material attribute parameters, add loads and boundary conditions, form an initial building model, and obtain initial settlement displacement, such as Figure 2 , Figure 3 and Figure 4 shown.

[0045] Step 2, select displacement monitoring points, select displacement monitoring points a, b, c, d, e, and f on the raft in the area with large settlement displacement (find the point with the maximum settlement displacement that can be displayed in the initial building model, and then select the surrounding connected areas of the same color in the model based on the point with the maximum settlement displacement as the area with large settlement displacement). The monitoring points are selected at the positions connected to the vertical force-bearing components (shear walls, columns) of the building to monitor the displacement changes during the lifting process, such as Figure 4 and Figure 5 shown.

[0046] Step 3: Arrange spherical entities vertically and determine the optimal lifting depth. Arrange spherical entities at different depths below the maximum monitoring point of raft settlement displacement, and use spherical entities to simulate the grout bubbles formed during grouting. The radius of the spherical entity is 1.5m, the center depth of the first spherical entity is 2.5m, and a spherical entity is arranged every 3.5m until the hard soil layer with good soil properties is reached. Figure 6 As shown. Different loads are applied to the outer surfaces of the spherical entities arranged at different depths, for example, 0.5MPa, 1.0MPa, 2.0MPa, 2.5MPa, and 3.0MPa are applied to the spherical entities to simulate the grouting expansion lifting force. The displacement lifting of each monitoring point is observed after applying different loads to the spheres at different depths, and multiple groups of displacement line graphs are formed based on the displacement lifting data, with the horizontal coordinate being the monitoring point position and the vertical coordinate being the raft settlement displacement value, as shown in the figure. Figure 7 , Figure 8 , Fig. 9 and Fig.10 As shown in FIG. 1 , the optimal lifting depth is determined according to the data trend of each group of displacement line graphs.

[0047] In this embodiment, a load is applied at the depth of ball b1. As the load increases, the displacement changes significantly, and the displacement connection line of each monitoring point fluctuates greatly. In this way, in actual engineering, if the grouting pressure is not controlled and is slightly too large, it will cause damage to the raft. Figure 7 As shown in the figure, the load is applied at the depth of ball b2. As the load increases, the lifting changes become more and more obvious. Moreover, after the lifting, the displacement connection lines of each monitoring point are relatively smooth without large fluctuations, indicating that the lifting process is stable. Figure 8 As shown in the figure, loads are applied at the depths of ball b3 and ball b4. As the load increases, the lift does not change significantly, indicating that grouting at this depth has little effect on the lift of the raft. Fig. 9 and Fig.10 Therefore, it can be determined that the optimal lifting depth is at the depth of ball b2.

[0048] Step 4: Arrange the spherical entities horizontally and lift them in batches. Arrange multiple spherical entities b2, d2, and f2 horizontally at the optimal lifting depth. The spherical entities are generally selected below the monitoring point. Apply reverse pressure on the outer surface of the sphere to simulate the grouting expansion lifting force, such as Fig.11 When lifting, it is carried out in multiple batches, which corresponds to the construction area and stage lifting, making the simulation process more realistic.

[0049] In this embodiment, the multi-batch lifting includes: First lift: different lifting forces are applied from the spherical solid b2 corresponding to the area with the maximum initial settlement. The initial building model is used for trial calculation. When the lifting force is 1.2 MPa, the displacement data of each monitoring point after lifting are more concentrated, such as Fig.12 , Fig.15 , Fig.18 As shown, the standard deviation of the sample data is 2.17.

[0050] The first and second lifting: different lifting forces are applied to the horizontally arranged spherical entities b2, d2, and f2 at the same time. The initial building model is used for trial calculation. When the lifting forces of 0.5MPa, 0.8MPa, and 0.5MPa are applied to b2, d2, and f2 respectively, the displacement data of each monitoring point are more concentrated, such as Fig.13 , Fig.16 , Fig.18 As shown, the standard deviation of the sample data is 1.93.

[0051] Second lift: Different lifting forces are applied to the horizontally arranged spherical entities b2, d2, and f2 at the same time. The initial building model is used for trial calculation. When the lifting forces of 0.5MPa, 0.5MPa, and 0.5MPa are applied to b2, d2, and f2 respectively, the displacement data of each monitoring point are more concentrated, such as Fig.14 , Fig.17 , Fig.18 As shown, the standard deviation of the sample data is 2.62.

[0052] Among them, the deep stratum at the bottom of the spherical entity simulating the slurry bubble is rigid relative to the shallow stratum at the top. When lifting, the required lifting force is to resist the upper load, so the lower part of the spherical entity is regarded as a rigid body. After the expansion force of the lower half of the spherical entity acts on the lower soil layer, it rebounds upward in time, thereby increasing the lifting force. Therefore, in this embodiment, the expansion force is only applied to the upper half of the spherical entity.

[0053] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A slurry ball lifting method for raft buildings based on numerical simulation, characterized in that: include: Based on the Midas-gts numerical modeling system, an initial building model representing the building that has undergone settlement is established, and the initial settlement displacement of the building is obtained according to the initial building model; Select multiple displacement monitoring points on the raft in the area with the largest initial settlement displacement; Spherical entities are arranged at different depths below the displacement monitoring point where the initial settlement displacement of the raft is the largest, and the spherical entities are used to simulate the grout bubbles formed during the grouting process. Apply different loads to the spherical entities at different depths to simulate the lifting force of the grouting bubble expansion to achieve the first simulated lifting, and determine the optimal lifting depth based on the result of the first simulated lifting; A plurality of spherical entities are arranged horizontally at intervals at the optimal lifting depth, and loads are applied to the spherical entities to simulate the lifting force of the grouting slurry bubble expansion to achieve a second simulated lifting. The second simulated lifting consists of multiple batches of lifting, and the simulated lifting is completed after the optimal lifting effect is obtained through multiple batches of lifting.

2. The method for lifting slurry balls of raft buildings based on numerical simulation according to claim 1, characterized in that: The displacement monitoring points are arranged at intervals at the connection between the raft slab and the vertical force-bearing components of the building.

3. The method for lifting slurry balls of raft buildings based on numerical simulation according to claim 1, characterized in that: The radius of the spherical entity is 1.5m, the vertical depth of the center of the first spherical entity is 2.5m, and then a spherical entity is arranged every 3.5m in the vertical depth until it reaches the hard soil layer.

4. The method for lifting slurry balls of raft buildings based on numerical simulation according to claim 1, characterized in that: The optimal lifting depth determined according to the result of the first simulated lifting is: After applying different loads to the spherical entities at different depths, different displacement uplift data of each displacement monitoring point are collected to form multiple groups of displacement line graphs with the horizontal axis being the displacement monitoring point position and the vertical axis being the raft settlement displacement value that can reflect the displacement uplift data. The optimal lifting depth is determined based on the data trend of each group of displacement line graphs.

5. The method for lifting slurry balls of raft buildings based on numerical simulation according to claim 4 is characterized in that: According to the data trend of each group of displacement line graphs, the optimal lifting depth is determined as: When a load is applied to a spherical entity, if the lift changes significantly with the increase of the load, and after the lift, the displacement lines of each displacement monitoring point are smooth, then the depth corresponding to the spherical entity is the optimal lift depth.

6. The method for lifting slurry balls of raft buildings based on numerical simulation according to claim 5, characterized in that: The multiple batches of lifting at least include: In the first lifting, different first loads are applied from the spherical entity corresponding to the area with the maximum initial settlement displacement, and the corresponding simulated lifting results are obtained by trial calculation of each applied first load through the initial building model. The displacement line graph with the best stability is obtained according to the simulated lifting results, and the first load with the best simulated lifting effect is obtained according to the displacement line graph with the best stability; At least one second lifting is performed, and different second loads are applied to multiple spherical entities arranged at intervals horizontally at the same time. The initial building model is used to calculate the applied second loads to obtain the corresponding simulated lifting results, and a displacement line graph with optimal smoothness is obtained according to the simulated lifting results. According to the displacement line graph with optimal smoothness, the second load with optimal simulated lifting effect is obtained.

7. The slurry ball lifting system for raft buildings based on numerical simulation is characterized by: include: An initial settlement displacement acquisition module, based on the Midas-gts numerical modeling system, establishes an initial building model representing the building that has undergone settlement, and acquires the initial settlement displacement of the building according to the initial building model; The displacement monitoring point arrangement module selects multiple displacement monitoring points on the raft in the area with the largest initial settlement displacement; A spherical entity vertical depth arrangement module arranges spherical entities at different depths below the displacement monitoring point where the initial settlement displacement of the raft is the largest, and uses the spherical entities to simulate the grout bubbles formed during the grouting process; The optimal lifting depth determination module applies different loads on each spherical entity, simulates the lifting force of the grouting bubble expansion to achieve the first simulated lifting, and determines the optimal lifting depth based on the result of the first simulated lifting; The optimal lifting simulation module arranges multiple spherical entities at horizontal intervals at the optimal lifting depth, applies loads on the spherical entities, and simulates the lifting force of the grouting slurry bubble expansion to achieve a second simulated lifting. The second simulated lifting consists of multiple batches of lifting, and the simulated lifting is completed after the optimal lifting effect is obtained through multiple batches of lifting.

8. An electronic device, characterized in that The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the method for lifting a slurry ball of a raft building based on numerical simulation as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for lifting a slurry ball of a raft building based on numerical simulation as described in any one of claims 1 to 6 is implemented.

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