Method and system for slurry ball lifting of raft buildings based on numerical simulation

By arranging spherical solids on the raft building to simulate the grouting process, the optimal lifting depth and force magnitude are determined, and the existing numerical simulation lifting method is solved, and the smooth lifting of the building and the safety of the underground foundation are achieved.

CN119918152BActive Publication Date: 2025-06-24BEIJING HENGXIANG HONGYE FOUND REINFORCEMENT TECH CO LTD
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Patent Information

Application Number
CN202510401343.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-01
Publication Date
2025-06-24
Estimated Expiration
2045-04-01

AI Technical Summary

Technical Problem

The existing numerical simulation lifting method applies an expansion rate in the settlement soil area, which cannot accurately fit the actual project, resulting in the simulation lifting effect being unconvincing and it is difficult to control the grouting lifting force, which may lead to unstable lifting of the building or the safety of the underground foundation being threatened.

Method used

The slurry ball lifting method of raft building based on Midas-gts numerical modeling system is adopted. By selecting displacement monitoring points on the raft, arranging spherical solids simulate the slurry during grouting, and applying different loads, the first and second simulated lifting are achieved, and the optimal lifting depth and force magnitude are determined.

Benefits of technology

This method is more theoretical and practical, can quickly determine the optimal lifting depth, simplify the solution process of grouting lifting depth, ensure the safety and economicality of the lifting process, and can control the grouting lifting force, so that the building can be lifted smoothly.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention relates to the technical field of building foundation reinforcement and deviation correction, and provides a slurry ball lifting method and system for raft buildings based on numerical simulation. The method includes: obtaining the initial settlement displacement of the building; selecting a plurality of displacement monitoring points on the raft at the area with the largest initial settlement displacement; arranging spherical entities at different depths below the displacement monitoring point with the largest initial settlement displacement of the raft; applying different loads on each spherical entity at different depths to simulate the expansion and lifting force of the grouting slurry bubble to achieve the first simulated lift, and determining the optimal lift depth; horizontally arranging a plurality of spherical entities at intervals at the optimal lift depth, applying loads on the spherical entities to simulate the expansion and lifting force of the grouting slurry bubble to achieve the second simulated lift, and the second simulated lift consists of multiple batches of lifts. After obtaining the optimal lifting effect, the simulated lift is completed. The present invention uses spherical entities to simulate the process of forming a slurry bubble by grouting and lifting, which is more in line with theory and practice and is persuasive.
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Description

Technical Field

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

[0002] At present, the construction of high-rise buildings is increasing day by day, resulting in increasingly severe problems such as various uneven settlements of structures. Among them, the compaction grouting technology can effectively cause ground lifting, and has advantages such as economy, high efficiency, and environmental protection, and is widely used in building reinforcement and lifting projects. However, for compaction grouting to have a lifting effect, it is very important to select an appropriate grouting depth. If it is too shallow, it is easy to damage structures such as the foundation; if it is too deep, the pressure provided by the slurry bubble is not enough to lift the soil mass. At the same time, during the lifting process, how to control the magnitude 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 methods all applied the expansion rate in the settlement soil area, which has a certain gap with the actual grouting lifting effect of the project, cannot fit the theory and reality, and the simulated lifting effect is not persuasive. Summary of the Invention

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

[0004] To achieve the above purpose, the present invention provides a slurry ball lifting method for raft buildings based on numerical simulation, including:

[0005] Based on the Midas-gts numerical modeling system, establish an initial building model representing the building that has undergone settlement, and obtain the initial settlement displacement of the building according to the initial building model;

[0006] Select a plurality of displacement monitoring points on the raft in the area with the largest initial settlement displacement;

[0007] Arrange spherical entities at different depths below the displacement monitoring point with the largest initial settlement displacement of the raft, and use the spherical entities to simulate the slurry bubbles formed during the grouting process;

[0008] Apply different loads on each spherical entity to simulate the expansion lifting force of the grouting slurry bubble to achieve the first simulation lift, and determine the optimal lift depth according to the results of the first simulation lift;

[0009] Horizontally arrange a plurality of spherical entities at intervals at the optimal lift depth, apply loads on the spherical entities, simulate the expansion lifting force of the grouting slurry bubble to achieve the second simulation lift, and the second simulation lift consists of multiple batches of lifts. After obtaining the optimal lift effect through multiple batches of lifts, the simulation lift is completed.

[0010] According to one aspect of the present invention, the displacement monitoring points are arranged at intervals at the joints of the raft slab and the vertical load-bearing members of the building.

[0011] According to one aspect of the present invention, the radius of the spherical entity is 1.5 m, the vertical depth of the center of the first spherical entity is 2.5 m, and then a spherical entity is arranged every 3.5 m in the vertical depth until the hard soil layer is reached.

[0012] According to one aspect of the present invention, the optimal lifting depth determined according to the results of the first simulation lift is as follows:

[0013] After applying different loads to the spherical entities at different depths, different displacement lift data of each displacement monitoring point are collected to form multiple displacement broken line graphs with the displacement monitoring point positions as the abscissa and the raft slab settlement displacement values that can reflect the displacement lift data as the ordinate. According to the data trends of each group of displacement broken line graphs, the optimal lifting depth is determined.

[0014] According to one aspect of the present invention, the optimal lifting depth determined according to the data trends of each group of displacement broken line graphs is as follows:

[0015] When applying a load to the spherical entity, if the lifting change is obvious as the load increases and the displacement connection lines of each displacement monitoring point are smooth after lifting, the depth corresponding to the spherical entity is the optimal lifting depth.

[0016] According to one aspect of the present invention, the multi-batch lifting at least includes:

[0017] The first lift, applying different first loads from the spherical entity corresponding to the area with the largest initial settlement displacement, and performing a trial calculation on each applied first load through the initial building model to obtain the corresponding simulated lift result. According to the simulated lift result, the displacement broken line graph with the optimal smoothness is obtained, and the first load with the optimal simulated lift effect is obtained according to the displacement broken line graph with the optimal smoothness;

[0018] At least one second lift, simultaneously applying different second loads to multiple horizontally spaced spherical entities, and performing a trial calculation on each applied second load through the initial building model to obtain the corresponding simulated lift result. According to the simulated lift result, the displacement broken line graph with the optimal smoothness is obtained, and the second load with the optimal simulated lift effect is obtained according to the displacement broken line graph with the optimal smoothness.

[0019] To achieve the above object, the present invention also provides a slurry ball lifting system for a raft building based on numerical simulation, including:

[0020] Initial settlement displacement acquisition module, based on the Midas-gts numerical modeling system, establishes an initial building model representing the building with settlement, and obtains the initial settlement displacement of the building according to the initial building model;

[0021] Displacement monitoring point arrangement module, selects multiple displacement monitoring points on the raft slab in the area with the largest initial settlement displacement;

[0022] Spherical entity vertical depth arrangement module, arranges spherical entities at different depths below the displacement monitoring point with the largest initial settlement displacement of the raft slab, and uses the spherical entities to simulate the slurry bubbles formed during the grouting process;

[0023] Optimal lifting depth determination module, applies different loads on each spherical entity, simulates the swelling lifting force of the grouting slurry bubble to achieve the first simulation lifting, and determines the optimal lifting depth according to the results of the first simulation lifting;

[0024] Optimal lifting simulation module, horizontally arranges multiple spherical entities at intervals at the optimal lifting depth, applies loads on the spherical entities, simulates the swelling lifting force of the grouting slurry bubble to achieve the second simulation lifting, and the second simulation lifting consists of multiple batches of lifting. After obtaining the optimal lifting effect through multiple batches of lifting, the simulation lifting is completed.

[0025] To achieve the above object, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, it implements the method for lifting a raft building with slurry balls based on numerical simulation as described above.

[0026] To achieve the above object, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements the method for lifting a raft building with slurry balls based on numerical simulation as described above.

[0027] According to the solution of the present invention, starting from the grouting lifting mechanism, the present invention uses spherical entities plus reverse pressure (swelling lifting force) to simulate the process of forming slurry balls by grouting and lifting, which is more in line with theory and practice and more persuasive;

[0028] The present invention applies reverse pressure (swelling lifting force) to spherical entities at different vertical depths respectively, and observes the changes and laws of the displacement generated accordingly, and more conveniently and quickly determines the optimal lifting depth, simplifies the solution process of the grouting lifting depth, and ensures the safety and economy during the lifting process;

[0029] The present invention simulates the staged and zonal lifting process during construction by applying reverse pressure to multiple horizontal spherical entities in batches and calculating the optimal lifting force for each batch through model calculations, so as to control the magnitude of the grouting lifting force and enable the building to be lifted smoothly, avoiding damage to the building caused by excessive lifting. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 Schematically showing a flowchart of a slurry ball lifting method for a raft building based on numerical simulation according to an embodiment of the present invention;

[0031] Figure 2 A three-dimensional perspective view of the initial building model for Example 1;

[0032] Figure 3 A sectional view of the area with a large settlement of the building for Example 1;

[0033] Figure 4 A settlement displacement diagram of the raft of the building for Example 1;

[0034] Figure 5 A plan layout diagram of the monitoring points of the building for Example 1;

[0035] Figure 6 A schematic diagram of the vertically arranged spheres for Example 1;

[0036] Figure 7 A displacement broken line diagram of sphere b1 under different loads for Example 1;

[0037] Figure 8 A displacement broken line diagram of sphere b2 under different loads for Example 1;

[0038] Figure 9 A displacement broken line diagram of sphere b3 under different loads for Example 1;

[0039] Figure 10 A displacement broken line diagram of sphere b4 under different loads for Example 1;

[0040] Figure 11 A schematic diagram of the horizontally arranged spherical entities for Example 1;

[0041] Figure 12 A load application diagram of the spherical entities for the first lifting for Example 1;

[0042] Figure 13 A load application diagram of the spherical entities for the second lifting of the first time for Example 1;

[0043] Figure 14 A load application diagram of the spherical entities for the second lifting of the second time for Example 1;

[0044] Figure 15 The displacement plan view of each monitoring point after the first lift in Example 1;

[0045] Figure 16 The displacement plan view of each monitoring point after the first second lift in Example 1;

[0046] Figure 17 The displacement plan view of each monitoring point after the second second lift in Example 1;

[0047] Figure 18 The displacement broken line graph of the entire lifting process in Example 1. Detailed implementation manners

[0048] Now, the content of the present invention will be described with reference to exemplary embodiments. It should be understood that the described embodiments are only for enabling those of ordinary skill in the art to better understand and thus implement the content of the present invention, rather than implying any limitation to the scope of the present invention.

[0049] As used herein, the term "comprising" and its variants are to be construed as open-ended terms meaning "including but not limited to". The term "based on" is to be construed as "at least partially based on". The terms "one embodiment" and "an embodiment" are to be construed as "at least one embodiment".

[0050] Figure 1 Schematically shows a flowchart of a slurry ball lifting method for a raft building based on numerical simulation according to an embodiment of the present invention. As Figure 1 shown, in this embodiment, the slurry ball lifting method for a raft building based on numerical simulation includes:

[0051] Based on the Midas-gts numerical modeling system, an initial building model representing the building with settlement is established, and the initial settlement displacement of the building is obtained according to the initial building model;

[0052] Select a plurality of displacement monitoring points on the raft in the area with the largest initial settlement displacement;

[0053] Spherical entities are respectively arranged at different depths below the displacement monitoring point with the largest initial settlement displacement of the raft, and the spherical entities are used to simulate the slurry bubbles formed during the grouting process;

[0054] Different loads are applied to each spherical entity to simulate the swelling lifting force of the grouting slurry bubble to achieve the first simulated lift, and the optimal lift depth is determined according to the result of the first simulated lift;

[0055] A plurality of spherical entities are horizontally arranged at intervals at the optimal lifting depth, and loads are applied to the spherical entities to simulate the swelling and lifting force of the grouting slurry bubble to achieve the second simulation lifting. The second simulation lifting consists of multiple batches of lifting. After obtaining the optimal lifting effect through multiple batches of lifting, the simulation lifting is completed.

[0056] Further, according to an embodiment of the present invention, displacement monitoring points are arranged at intervals at the connection between the raft slab and the vertical load-bearing members of the building.

[0057] Further, according to an embodiment of the present invention, the radius of the spherical entity is 1.5 m, the vertical depth of the center of the first spherical entity is 2.5 m, and then a spherical entity is arranged every 3.5 m 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 shown in the geological exploration, the following can be regarded as the hard soil layer:

[0058] Clay, with a compression modulus greater than 5 MPa;

[0059] Silt, with a compression modulus greater than 10 MPa;

[0060] Sand, with a compression modulus greater than 30 MPa.

[0061] Further, according to an embodiment of the present invention, the optimal lifting depth is determined according to the results of the first simulation lifting as follows:

[0062] After applying different loads to the spherical entities at different depths, different displacement and lifting data of each displacement monitoring point are collected to form multiple groups of displacement broken line graphs with the displacement monitoring point positions as the abscissa and the raft slab settlement displacement values that can reflect the displacement and lifting data as the ordinate. According to the data trends of each group of displacement broken line graphs, the optimal lifting depth is determined.

[0063] Further, according to an embodiment of the present invention, the optimal lifting depth is determined according to the data trends of each group of displacement broken line graphs as follows:

[0064] When applying loads to the spherical entities, if the lifting change is obvious as the load increases, and after lifting, the displacement connection lines of each displacement monitoring point are gentle, then the depth corresponding to the spherical entity is the optimal lifting depth.

[0065] Further, according to an embodiment of the present invention, the multiple batches of lifting at least include:

[0066] The first lift: Different first loads are applied at the spherical entities corresponding to the area with the largest initial settlement displacement, and the initial building model is used to calculate the applied first loads to obtain the corresponding simulated lift results. According to the simulated lift results, a displacement broken line graph with the optimal smoothness is obtained, and the first load with the optimal simulated lift effect is obtained based on the displacement broken line graph with the optimal smoothness.

[0067] At least one second lift: Different second loads are simultaneously applied to multiple horizontally spaced spherical entities, and the initial building model is used to calculate the applied second loads to obtain the corresponding simulated lift results. According to the simulated lift results, a displacement broken line graph with the optimal smoothness is obtained, and the second load with the optimal simulated lift effect is obtained based on the displacement broken line graph with the optimal smoothness.

[0068] In this embodiment, the number of second lifts can be determined according to the actual requirements of the project for the lifting situation.

[0069] In this embodiment, the optimal simulated lift effect is measured according to the standard deviation of each group of displacement data samples. The smaller the standard deviation, the more concentrated the settlement displacement data after lifting. Therefore, the above displacement broken line graph is smoother, indicating that the grouting reinforcement and lifting in this area are more stable and will not cause damage to the raft slab.

[0070] The standard deviation formula is as follows:

[0071] ;

[0072] ;

[0073] Where: S is the sample standard deviation;

[0074] N is the number of sample data;

[0075] is the i-th sample data;

[0076] is the sample mean.

[0077] According to the above solution of the present invention, starting from the grouting and lifting mechanism, the present invention uses spherical entities plus reverse pressure (expansion lifting force) to simulate the process of forming a slurry ball by grouting and lifting, which is more in line with theory and practice and more persuasive;

[0078] The present invention applies reverse pressure (expansion lifting force) to spherical entities at different vertical depths respectively, and observes the changes and laws of the displacement, thus more conveniently and quickly determining the optimal lifting depth, simplifying the solution process of the grouting and lifting depth, and ensuring the safety and economy during the lifting process;

[0079] The present invention simulates the lifting process in different regions and stages during construction by applying reverse pressure to multiple horizontal spherical entities in batches and calculating the optimal lifting force magnitude for each batch through model calculations, so as to control the magnitude of the grouting lifting force, enabling the building to be lifted smoothly and avoiding damage to the building caused by excessive lifting.

[0080] Furthermore, to achieve the above object, the present invention also provides a slurry ball lifting system for a raft building based on numerical simulation, including:

[0081] 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 obtains the initial settlement displacement of the building according to the initial building model;

[0082] A displacement monitoring point arrangement module selects multiple displacement monitoring points on the raft in the area with the largest initial settlement displacement;

[0083] A spherical entity vertical depth arrangement module arranges spherical entities at different depths below the displacement monitoring point with the largest initial settlement displacement on the raft, and uses the spherical entities to simulate the slurry bubbles formed during the grouting process;

[0084] An optimal lifting depth determination module applies different loads to each spherical entity to simulate the first simulated lift by the expansion lifting force of the grouting slurry bubble, and determines the optimal lifting depth according to the results of the first simulated lift;

[0085] An optimal lifting simulation module horizontally arranges multiple spherical entities at intervals at the optimal lifting depth, applies loads to the spherical entities to simulate the second simulated lift by the expansion lifting force of the grouting slurry bubble, and the second simulated lift consists of multiple batches of lifting. After obtaining the optimal lifting effect through multiple batches of lifting, the simulated lift is completed.

[0086] Furthermore, according to an embodiment of the present invention, the displacement monitoring points are arranged at intervals at the connection between the raft and the vertical load - bearing members of the building.

[0087] Furthermore, according to an embodiment of the present invention, the radius of the spherical entity is 1.5 m, the vertical depth of the center of the first spherical entity is 2.5 m, and then a spherical entity is arranged every 3.5 m in the vertical depth until reaching a hard soil layer with a relatively large compression modulus.

[0088] Furthermore, according to an embodiment of the present invention, the optimal lifting depth determined according to the results of the first simulated lift is:

[0089] After applying different loads to spherical entities at different depths, different displacement uplift data of each displacement monitoring point are collected, and multiple line charts are formed with the abscissa being the displacement monitoring point positions and the ordinate being the raft settlement displacement values that can reflect the displacement uplift data. According to the data trends of each group of line charts, the optimal uplift depth is determined.

[0090] Further, according to an embodiment of the present invention, the optimal uplift depth is determined according to the data trends of each group of line charts as follows:

[0091] When applying a load to a spherical entity, if the uplift changes significantly as the load increases, and after the uplift, the displacement connection lines of each displacement monitoring point are smooth, then the depth corresponding to the spherical entity is the optimal uplift depth.

[0092] Further, according to an embodiment of the present invention, the multi-batch uplift at least includes:

[0093] The first uplift: Apply different first loads at the spherical entities corresponding to the areas with the largest initial settlement displacement, and perform trial calculations on the applied first loads through the initial building model to obtain the corresponding simulated uplift results. According to the simulated uplift results, obtain the displacement line chart with the optimal smoothness, and obtain the first load with the optimal simulated uplift effect according to the displacement line chart with the optimal smoothness.

[0094] At least one second uplift: Apply different second loads to multiple horizontally spaced spherical entities simultaneously, and perform trial calculations on the applied second loads through the initial building model to obtain the corresponding simulated uplift results. According to the simulated uplift results, obtain the displacement line chart with the optimal smoothness, and obtain the second load with the optimal simulated uplift effect according to the displacement line chart with the optimal smoothness.

[0095] In this embodiment, the number of second uplifts can be determined according to the actual requirements of the project for the uplift situation.

[0096] In this embodiment, the optimal simulated uplift effect is measured according to the standard deviation of each group of displacement data samples. The smaller the standard deviation, the more concentrated the settlement displacement data after uplift. Therefore, the above displacement line chart is smoother, indicating that the grouting reinforcement uplift in this area is more stable and will not cause damage to the raft.

[0097] The standard deviation formula is as follows:

[0098] ;

[0099] ;

[0100] Where: S is the sample standard deviation;

[0101] N is the number of sample data;

[0102] is the i-th sample data;

[0103] is the sample mean.

[0104] According to the above solution of the present invention, starting from the grouting uplift mechanism, the present invention uses a spherical solid plus reverse pressure (expansion uplift force) to simulate the process of forming a slurry ball by grouting and lifting, which is more in line with theory and practice and more persuasive;

[0105] The present invention applies reverse pressure (expansion uplift force) to spherical solids at different vertical depths respectively, and observes the changes and laws of the displacement generated accordingly, which more conveniently and quickly determines the optimal uplift depth, simplifies the solution process of the grouting uplift depth, and ensures the safety and economy during the uplift process;

[0106] The present invention applies reverse pressure to multiple horizontal spherical solids in batches, and calculates the optimal uplift force magnitude for each batch through model calculations to simulate the sub-region and sub-stage uplift process during construction, which can control the magnitude of the grouting uplift force, enable the building to be lifted smoothly, and avoid damage to the building caused by excessive uplift.

[0107] Furthermore, to achieve the above object, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored on the memory and executable on the processor. When the computer program is executed by the processor, it implements the slurry ball uplift method for raft buildings based on numerical simulation as described above.

[0108] Furthermore, to achieve the above object, the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor, it implements the slurry ball uplift method for raft buildings based on numerical simulation as described above.

[0109] To make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only the best embodiments of the present invention, only used to explain the present invention, and do not limit the protection scope of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0110] Example 1

[0111] A certain garden-style house. The west unit has seven floors, and the other three units have six floors, with one basement floor. The building faces 16.3 degrees east of south, with a building height of 19.7 meters, a total construction area of 4,357.71 square meters, and 24 residential households. There is a community courtyard on the south side of the building. The plus-minus zero elevation of Building 19 is equivalent to an absolute elevation of 21.0 m. The structural form is a reinforced concrete shear wall structure with a raft foundation. The raft is 67.5 m long, 19.2 m wide, and 400 mm thick. The raft in the shaded part on the north side is 800 mm thick, and the raft in the shaded part on the south side is 600 mm thick. The top elevation of the raft is -4.5 m (structural elevation). The designed foundation treatment is to backfill and compact with crushed stone soil, and the characteristic value of the foundation bearing capacity fak = 140 kPa.

[0112] The reasons for the uneven settlement are as follows:

[0113] ① It is possible that the bearing stratum under the raft foundation of Building 19 is plain fill, and the fill is not dense, which may be the reason for the uneven settlement;

[0114] ② Through the geological cross-section diagrams on 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 relatively thick, while the soil quality of the foundation on the north side of the building is relatively better than that on the south side. The silt layer is in a soft plastic state with low bearing capacity, which may also be the reason for the uneven settlement.

[0115] The foundation design parameters in the geological exploration are shown in Table 1 below:

[0116] Table 1:

[0117]

[0118] For the building with a raft foundation form, a modeling analysis is carried out to verify the feasibility of the actual grouting construction plan for lifting the building, providing a reference example for similar projects:

[0119] Step 1: Form an initial model. Based on geological exploration data, building construction drawings and other materials, establish a stratum and building model, input material property parameters, add loads and boundary conditions to form an initial building model, and obtain the initial settlement displacement, as shown in Figure 2 , Figure 3 and Figure 4 shown.

[0120] Step 2: Select displacement monitoring points. On the raft in the area with large settlement displacement (find the point with the maximum settlement displacement that can be shown 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), select displacement monitoring points a, b, c, d, e, f. The monitoring points are selected at the positions where the building's vertical load-bearing members (shear walls, columns) are connected to monitor the displacement changes during the lifting process, as shown in Figure 4 and Figure 5 shown.

[0121] Step 3: Vertically arrange spherical entities and determine the optimal lifting depth. Vertically arrange spherical entities at different depths below the monitoring point with the largest settlement displacement of the raft foundation, and use the spherical entities to simulate the slurry bubbles formed during the grouting process. The radius of the spherical entity is taken as 1.5 m, the depth of the center of the first spherical entity is 2.5 m, and a spherical entity is arranged every 3.5 m until the hard soil layer with better soil properties is reached, such as Figure 6 shown. Apply different loads on the outer surfaces of the spherical entities arranged at different depths. For example, apply 0.5 MPa, 1.0 MPa, 2.0 MPa, 2.5 MPa, and 3.0 MPa to each spherical entity respectively to simulate the grouting expansion lifting force. Observe the displacement and lifting conditions of each monitoring point after applying different loads to the spheres at different depths, and form multiple displacement broken line graphs with the monitoring point positions as the abscissa and the settlement displacement values of the raft foundation as the ordinate according to the displacement and lifting data, such as Figure 7 , Figure 8 , Figure 9 and Figure 10 shown. Determine the optimal lifting depth according to the data trends of each group of displacement broken line graphs.

[0122] In this embodiment, when a load is applied at the depth of sphere b1, as the load increases, the displacement changes significantly, and the displacement connection lines of each monitoring point fluctuate greatly. In actual engineering, if the grouting pressure is slightly too large and out of control, it will cause damage to the raft foundation, such as Figure 7 shown; when a load is applied at the depth of sphere b2, as the load increases, the lifting change becomes more and more obvious, and after lifting, the displacement connection lines of each monitoring point are relatively flat without large fluctuations, indicating that the lifting process is stable, such as Figure 8 shown; when a load is applied at the depths of sphere b3 and sphere b4, as the load increases, the lifting change is not obvious, indicating that grouting at this depth position has little lifting effect on the raft foundation, such as Figure 9 and Figure 10 shown. Therefore, it can be determined that the optimal lifting depth is at the depth of sphere b2.

[0123] Step 4: Horizontally arrange spherical entities and lift them in batches. Horizontally arrange multiple spherical entities b2, d2, and f2 at the optimal lifting depth. The spherical entities are generally selected below the monitoring points, and a reverse pressure is applied on the outer surface of the spheres to simulate the grouting expansion lifting force, such as Figure 11 shown. When lifting, it is carried out in multiple batches, which corresponds to the construction of lifting in different regions and stages, making the simulation process more in line with the actual situation.

[0124] In this embodiment, the multi-batch lifting includes:

[0125] The first lift: Different lifting forces are applied starting from the spherical entity b2 corresponding to the area with the largest initial settlement. Through trial calculations using the initial building model, when the lifting force is 1.2 MPa, the displacement data of each monitoring point after lifting is more concentrated, as shown in Figure 12 , Figure 15 , Figure 18 . The standard deviation of the sample data is 2.17.

[0126] The first second lift: Different lifting forces are simultaneously applied to the horizontally arranged spherical entities b2, d2, and f2. Through trial calculations using the initial building model, when lifting forces of 0.5 MPa, 0.8 MPa, and 0.5 MPa are applied to b2, d2, and f2 respectively, the displacement data of each monitoring point is more concentrated, as shown in Figure 13 , Figure 16 , Figure 18 . The standard deviation of the sample data is 1.93.

[0127] The second second lift: Different lifting forces are simultaneously applied to the horizontally arranged spherical entities b2, d2, and f2. Through trial calculations using the initial building model, when lifting forces of 0.5 MPa, 0.5 MPa, and 0.5 MPa are applied to b2, d2, and f2 respectively, the displacement data of each monitoring point is more concentrated, as shown in Figure 14 , Figure 17 , Figure 18 . The standard deviation of the sample data is 2.62.

[0128] Among them, the deep stratum under the spherical entity simulating the slurry bubble is rigid relative to the shallow stratum above. During lifting, the required lifting force is to resist the upper load. Therefore, 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 a timely manner, thereby increasing the upward lifting force. Therefore, in this embodiment, the expansion force is only applied to the upper half of the spherical entity.

[0129] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention and are not restrictive. 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; Arrange multiple spherical entities at intervals horizontally at the optimal lifting depth, apply loads on the spherical entities, simulate the lifting force of grouting slurry bubble expansion to achieve a second simulated lifting, wherein 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; 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 lifting data of each displacement monitoring point are collected to form multiple groups of displacement line graphs with the horizontal coordinates being the displacement monitoring points and the vertical coordinates being the raft settlement displacement values ​​that can reflect the displacement lifting data. The optimal lifting depth is determined according to the data trends of each group of displacement line graphs; 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.

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: 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.

5. 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 intervals horizontally 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. The simulated lifting is completed after the optimal lifting effect is obtained through multiple batches of lifting. 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 lifting data of each displacement monitoring point are collected to form multiple groups of displacement line graphs with the horizontal coordinates being the displacement monitoring points and the vertical coordinates being the raft settlement displacement values ​​that can reflect the displacement lifting data. The optimal lifting depth is determined according to the data trends of each group of displacement line graphs; 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.

6. 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 4 is implemented.

7. 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 4 is implemented.

Citation Information

Patent Citations

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