Method, device, equipment and medium for predicting foundation settlement value of assembled subway station

Abstract

The application discloses an assembled subway station foundation settlement value prediction method, device, equipment and medium, the method comprises the following steps: obtaining a first vertical settlement prediction result and a second vertical settlement prediction result, and obtaining a vertical settlement measurement result of a target assembled subway station in a 95% confidence interval; determining a vertical settlement coefficient considering the influence of inter-ring joints on the vertical settlement value according to the first vertical settlement prediction result, the second vertical settlement prediction result and the vertical settlement measurement result, and drawing a vertical settlement prediction curve; in the actual construction measurement process, the foundation settlement value of the target assembled subway station is predicted according to the vertical settlement prediction curve. The application explains that the uncertainty of the vertical settlement value is composed of the uncertainty of the proportion of the joint deformation and the foundation settlement in the overall settlement from the settlement formation principle level. On this basis, the fluctuation range of the vertical settlement value is predicted, and the accuracy of the vertical settlement value prediction is improved.

Description

Technical Field

[0001] This invention relates to the field of rail transit technology, and in particular to a method, apparatus, equipment and medium for predicting the foundation settlement value of prefabricated subway stations. Background Technology

[0002] The rapid development of prefabricated assembly subway station construction technology has provided strong technical support for the efficient utilization and sustainable development of underground space, and is expected to achieve wider application in the future.

[0003] During the construction of prefabricated subway stations, due to factors such as underground space constraints and surface traffic demands, it is often necessary to backfill the stations with soil to restore surface traffic or rebuild surface buildings. Therefore, in-depth research on the longitudinal deformation variation law of prefabricated subway stations under soil load is of significant practical importance. Existing theoretical calculation methods for the longitudinal deformation of prefabricated structures mostly use the Eluer beam model or Timoshenko beam model to simulate prefabricated structures, and employ elastic foundation models such as Winker, Pasternak, and Kerr to consider the interaction between beams and soil. However, the predicted settlement values ​​obtained by current analytical methods are all fixed values, which cannot adapt to the uncertainty of actual vertical settlement values.

[0004] Therefore, improving the accuracy of measurement and control data for prefabricated subway stations has become a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0005] This invention provides a method, device, equipment, and medium for predicting the foundation settlement of prefabricated subway stations, so as to improve the accuracy of predicting the vertical settlement of the foundation during the construction process of prefabricated subway stations.

[0006] To address the aforementioned technical problems, embodiments of the present invention provide a method for predicting the settlement value of prefabricated subway station foundations, comprising:

[0007] Obtain the first vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Winkler model, and obtain the second vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Pasternak model.

[0008] The measured settlement data of the target prefabricated subway station are filtered and processed to obtain the vertical settlement measurement results of the target prefabricated subway station within a pre-set signal interval.

[0009] The vertical settlement coefficient, which takes into account the influence of ring connection, is determined based on the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement measurement result of the target prefabricated subway station.

[0010] Substitute the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring connection into the pre-constructed settlement prediction formula to obtain the vertical settlement prediction result of the target prefabricated subway station. Then, draw the vertical settlement prediction curve based on the vertical settlement prediction result.

[0011] In the actual construction surveying process, the foundation settlement value of the target prefabricated subway station is predicted based on the vertical settlement prediction curve.

[0012] Further, the process of filtering and processing the measured settlement data of the target prefabricated subway station to obtain the vertical settlement measurement results of the target prefabricated subway station within a pre-set interval includes:

[0013] Based on the actual vertical settlement measurements of the target prefabricated subway station, a scatter plot of the settlement values ​​was plotted using Matlab.

[0014] The vertical settlement measurement results within the pre-set information interval of the target prefabricated subway station are obtained based on the scatter plot.

[0015] Furthermore, the range of the preset information interval is 95%.

[0016] Further, the step of substituting the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring connection into the pre-constructed settlement prediction formula to obtain the vertical settlement prediction result of the target prefabricated subway station, and drawing the vertical settlement prediction curve based on the vertical settlement prediction result, includes:

[0017] The foundation settlement mode is determined based on the first vertical settlement prediction result and the second vertical settlement prediction result; the foundation settlement mode includes a first settlement mode, a second settlement mode and a third settlement mode, the first settlement mode is a foundation settlement mode using circumferential joint reinforcement, the second settlement mode is a foundation settlement mode using foundation reinforcement, and the third settlement mode is a foundation settlement mode using both foundation reinforcement and circumferential joint reinforcement.

[0018] Based on the foundation settlement pattern, the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of ring joints, a vertical settlement prediction curve is plotted.

[0019] Furthermore, the vertical settlement prediction curve for the first settlement mode is as follows:

[0020] w = w2

[0021] Where w2 represents the deformation considering foundation settlement.

[0022] Furthermore, the vertical settlement prediction curve for the second settlement mode is as follows:

[0023] w = w1

[0024] Where w1 represents the deformation caused by considering the effect of the ring joint.

[0025] Furthermore, the vertical settlement prediction curve for the third settlement mode is as follows:

[0026] w = aw1 + (1-a)w2

[0027] Where 'a' is the vertical settlement coefficient considering the effect of the ring joint.

[0028] Another embodiment of the present invention provides a prefabricated subway station foundation settlement prediction device, comprising:

[0029] The data acquisition module is used to acquire the first vertical settlement prediction result of the target prefabricated subway station obtained by the Timoshenko-Winkler model, and to acquire the second vertical settlement prediction result of the target prefabricated subway station obtained by the Timoshenko-Pasternak model.

[0030] The data filtering module is used to filter and process the measured settlement data of the target prefabricated subway station to obtain the vertical settlement measurement results of the target prefabricated subway station within a preset information interval.

[0031] The coefficient acquisition module is used to determine the vertical settlement coefficient of the target prefabricated subway station considering the influence of ring connection based on the first vertical settlement prediction result, the second vertical settlement prediction result and the vertical settlement measurement result.

[0032] The curve plotting module is used to substitute the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring connection into a pre-constructed settlement prediction formula to obtain the vertical settlement prediction result of the target prefabricated subway station, and plot the vertical settlement prediction curve based on the vertical settlement prediction result.

[0033] The foundation prediction module is used to predict the foundation settlement value of the target prefabricated subway station based on the vertical settlement prediction curve during the actual construction survey process.

[0034] Another embodiment of the present invention provides a computer device including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor executes the computer program to implement the prefabricated subway station foundation settlement prediction method as described above.

[0035] Another embodiment of the present invention provides a computer-readable storage medium storing a computer program, wherein when the device containing the computer-readable storage medium executes the computer program, it implements the method for predicting the foundation settlement value of prefabricated subway stations as described above.

[0036] Compared with the prior art, the beneficial effects of the embodiments of the present invention are at least one of the following:

[0037] (1) The Timoshenko-Pasternak modified model is proposed to explain the uncertainty of vertical settlement from the perspective of settlement formation principle, that is, the uncertainty of the proportion of joint deformation and foundation settlement in the overall settlement. On this basis, the fluctuation range of vertical settlement is predicted, and the reliability of the proposed prediction method is verified by comparing it with the measured vertical settlement value. Attached Figure Description

[0038] Figure 1 A flowchart illustrating the steps of the prefabricated subway station foundation settlement prediction method provided in this embodiment of the invention;

[0039] Figure 2 This is a schematic diagram of the backfilling construction of Fukeng Station provided in an embodiment of the present invention;

[0040] Figure 3 A schematic diagram of the measured vertical settlement value distribution and 95% confidence interval provided for embodiments of the present invention;

[0041] Figure 4 The present invention provides a frequency histogram and cumulative distribution function graph of measured vertical settlement values ​​in an embodiment of the invention.

[0042] Figure 5 This is a schematic diagram of the stratigraphy at Fukeng Station provided in an embodiment of the present invention;

[0043] Figure 6 A comparison chart of vertical settlement prediction fluctuations and measured settlement values ​​provided in this embodiment of the invention;

[0044] Figure 7 This is a structural block diagram of the prefabricated subway station foundation settlement prediction device provided in an embodiment of the present invention;

[0045] Figure 8 A structural diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0046] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0047] In the description of this application, the terms "first," "second," "third," etc., are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Therefore, a feature defined with "first," "second," "third," etc., may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0048] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to the internal communication between two components. The terms "vertical," "horizontal," "left," "right," "upper," "lower," and similar expressions used herein are for illustrative purposes only and do not indicate or imply that the device or component referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as limiting the invention. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0049] In the description of this application, it should be noted that, unless otherwise defined, all technical and scientific terms used in this invention have the same meaning as commonly understood by one of ordinary skill in the art. The terminology used in this specification is for the purpose of describing specific embodiments only and is not intended to limit the invention. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.

[0050] One embodiment of the present invention provides a method for predicting the foundation settlement of prefabricated subway stations. For details, please refer to [link / reference needed]. Figure 1 , Figure 1 The flowchart shown is a step-by-step diagram of the method for predicting the foundation settlement of a prefabricated subway station according to one embodiment of the present invention, including steps S11 to S15:

[0051] Step S11: Obtain the first vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Winkler model, and obtain the second vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Pasternak model.

[0052] In existing calculations of vertical settlement of foundations, the Timoshenko-Winkler model establishes a simplified solution for longitudinal deformation based on the continuity of bending moment and shear force at the joints of prefabricated structures, considering the overall settlement caused by the joints between rings. This reflects the nonlinear changes in longitudinal deformation at the rings and joints of the prefabricated structure. However, in considering the overall settlement of prefabricated structures caused by foundation settlement, the Timoshenko-Pasternak model applies the assumption of shear layer bending moment calculation and considers land continuity, which can more accurately reflect the actual foundation beam situation. Under the same conditions, the vertical settlement calculated by the Pasternak foundation model is usually larger than that of the Winkler foundation model. The theoretical predicted settlement values ​​obtained by both models are fixed values ​​and cannot explain the source of vertical settlement fluctuations.

[0053] This embodiment comprehensively considers the proportion of joint deformation and foundation settlement in the overall foundation settlement. Therefore, it is necessary to obtain the first vertical settlement prediction result and the second vertical settlement prediction result of the target prefabricated subway station according to the Timoshenko-Winkler model and the Timoshenko-Pasternak model.

[0054] Step S12: Filter and process the measured settlement data of the target prefabricated subway station to obtain the vertical settlement measurement results of the target prefabricated subway station within the preset signal interval.

[0055] After obtaining the first and second vertical settlement prediction results, it is necessary to actually measure the settlement data of the target prefabricated subway station to provide a basis for determining the proportion of the first and second vertical settlement prediction results.

[0056] Specifically, this embodiment uses Fukeng Station of Phase II of Shenzhen Metro Line 16 as an example to illustrate the foundation settlement prediction process, such as... Figure 2 As shown, Figure 2This is a schematic diagram of the backfilling construction of Fukeng Station provided in this embodiment. The total length of the assembly section of the station is 174m, consisting of 87 rings. Based on the required ground flatness, Fukeng Station adopts a zoned and layered backfilling scheme to ensure the stability and safety of the structure during construction. The backfilling process is divided into construction zones I to IV. Construction zone I consists of rings 1-20, backfilled in 6 layers. Construction zone II consists of rings 20-48, backfilled in 5 layers. Construction zone III consists of rings 48-68, backfilled in 4 layers. Construction zone IV consists of rings 68-87, backfilled in 4 layers. Each backfill layer is 0.3m thick, totaling 19 construction steps.

[0057] During the backfilling process, real-time monitoring was used to obtain actual vertical settlement measurements. These measurements were then processed using Matlab tools. Figure 3 As shown, a scatter plot was drawn based on the actual vertical settlement measurement values ​​monitored, and then the values ​​within the preset 95% confidence interval were taken to obtain the vertical settlement measurement result of -3.11 mm.

[0058] The actual vertical settlement measurements were further processed using Matlab, and plotted as follows: Figure 4 The frequency histogram and cumulative distribution function graph of the measured vertical settlement values ​​shown can verify that the measured value of -3.11 mm obtained in this embodiment conforms to the distribution law of the probability density function.

[0059] Step S13: Determine the vertical settlement coefficient of the target prefabricated subway station considering the influence of ring connection based on the first vertical settlement prediction result, the second vertical settlement prediction result and the vertical settlement measurement result.

[0060] This embodiment takes the location of the 56th ring assembly at Fukeng Station as an example, and calculates the proportion of deformation caused by foundation settlement and the joint between rings. The geological structure of Fukeng Station is as follows: Figure 5 As shown, the bottom of the foundation pit of Fukeng Metro Station in Longgang District, Shenzhen, is paved with a 150mm thick C20 concrete cushion layer, with the remainder being a medium-hard clay layer. Assume the station foundation consists of a 150mm thick C20 concrete cushion layer and a 35mm thick medium-hard clay layer. According to the specifications of the Concrete Structure Design Code GB50010-2002, the elastic modulus of C20 concrete is 2.55 x 10⁻⁶. 10 N / m 2 The elastic modulus of the medium-hard adhesive layer is set to 4MN / m. 2 In establishing the Timoshenko-Pasternak model considering foundation settlement, the foundation elastic modulus Es = (0.15 x 2.55 x 10⁻⁶). 10 +35x4x10 6 ) / 35.15=1.128x10 8 N / m 2Furthermore, in the construction process of Timoshenko-Pasternak, the vertical settlement calculation equation is a sixth-order differential equation, which requires setting three virtual nodes at the beginning and end. However, in this embodiment, since the beginning and end of the prefabricated subway station are cast-in-place sections, the vertical displacement of the virtual nodes at the beginning and end is assumed to be 0.

[0061] In summary, this embodiment first establishes a Timoshenko-Pasternak model that considers foundation settlement, and then modifies the Timoshenko-Pasternak model by considering the effect of ring junctions. The settlement prediction formula in this embodiment is w=aw1+(1-a)w2, where w1 is the deformation caused by the effect of ring junctions, w2 is the deformation caused by considering foundation settlement, and a is the vertical settlement coefficient caused by considering the effect of ring junctions.

[0062] Taking the 56th ring of Fukeng Station as an example, the total length of the assembly section is 174m, consisting of 87 rings. The calculation process uses a difference scheme for discretization, with each ring discretized into 4 nodes, resulting in 87 x 4 = 348 nodes. Since the construction direction is from right to left, the 56th ring corresponds to nodes 125-128. The second vertical settlement prediction result obtained using the Timoshenko-Pasternak model for nodes 125-128 is w2 = -3.94108 - 3.95295 - 3.923 - 3.88546. The first vertical settlement prediction result obtained using the Timoshenko-Winkler model for nodes 125-128 is w1 = -3.04474. -3.02608-3.00923-2.993, combined with the measured vertical settlement measurement result w = -3.11 mm using the 95% confidence interval, and substituted into the settlement prediction formula, we get a = (w-w2) / (w1-w2) = (-3.11-(-3.94108-3.95295-3.923-3.88546) / 4) / ((-3.04474-3.02608-3.00923-2.993) / 4-(-3.94108-3.95295-3.923-3.88546) / 4) = 0.8989.

[0063] Step S14: Substitute the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring connection into the pre-constructed settlement prediction formula to obtain the vertical settlement prediction result of the target prefabricated subway station, and draw the vertical settlement prediction curve based on the vertical settlement prediction result.

[0064] After determining the vertical settlement coefficient 'a' considering the impact of the ring-joint, and substituting w1 and w2 for the entire line at Fukeng Station into the settlement prediction formula, the following diagram is drawn: Figure 6The vertical settlement prediction curves shown are as follows: the model in reference [1] is the Timoshenko-Winkler model, and the model in reference [2] is the Timoshenko-Pasternak model.

[0065] Based on the monitoring of settlement values ​​of other rings at Fukeng Station, the vertical settlement prediction results of this embodiment were verified. The monitoring results showed that the vertical settlement value in the prefabricated subway station project fluctuated continuously and had significant uncertainty. Among them, the data within the 95% confidence interval (-3.11mm) was within the prediction range of this embodiment, and 86% of the measured data were distributed within the prediction range of this embodiment (between -3mm and -3.9mm).

[0066] The above conclusions show that the method for predicting vertical settlement data of prefabricated subway stations designed in this embodiment by modifying the Timoshenko-Pasternak model based on the influence of ring-to-ring connections accurately predicts the overall settlement value, and also explains and reflects the uncertainty of the overall settlement.

[0067] Step S15: During the actual construction measurement process, the foundation settlement value of the target prefabricated subway station is predicted based on the vertical settlement prediction curve.

[0068] In the actual settlement prediction process, the foundation settlement mode can be determined based on the first vertical settlement prediction result and the second vertical settlement prediction result. Specifically, this embodiment is divided into three foundation settlement modes: the first settlement mode, the second settlement mode and the third settlement mode.

[0069] Among them, the first settlement mode is the foundation settlement mode using circumferential joint reinforcement, the second settlement mode is the foundation settlement mode using foundation reinforcement, and the third settlement mode is the foundation settlement mode using both foundation reinforcement and circumferential joint reinforcement.

[0070] When the foundation is in the first settlement mode, it indicates that there is no joint between the rings, or that the entire area is reinforced with joints between the rings. The discontinuous deformation at the joints can be ignored. The vertical settlement coefficient caused by the influence of the joints between the rings is taken as 0. The settlement prediction formula for vertical settlement is consistent with the Timoshenko-Pasternak model. At this time, w = w2.

[0071] When strong foundation reinforcement measures such as extremely large grouting range are adopted, it can be regarded as being placed only on C20 concrete stratum. At this time, the deformation caused by the foundation settlement itself and the foundation shear deformation can be ignored. When the foundation is in the second settlement mode, the vertical settlement coefficient caused by the joint effect of the ring is taken as 1. The settlement prediction relationship of vertical settlement is consistent with the Timoshenko-Winkler model that only considers the discontinuous deformation at the joint. At this time, w = w1.

[0072] The first and second settlement modes mentioned above are vertical settlement predictions under extremely ideal conditions. In most cases, the foundation is in the third settlement mode, that is, the vertical settlement coefficient caused by the joint effect of the ring joint is determined by the effect of foundation reinforcement and ring joint reinforcement. In this case, w = aw1 + (1-a)w2, a∈(0,1).

[0073] The present invention proposes a Timoshenko-Pasternak modified model for predicting the settlement value of prefabricated subway station foundations. This model explains the uncertainty of vertical settlement from the perspective of settlement formation principles, namely, the uncertainty of the proportion of joint deformation and foundation settlement in the overall settlement. Based on this, the fluctuation range of vertical settlement values ​​is predicted, and the reliability of the proposed prediction method is verified by comparing it with measured vertical settlement values.

[0074] This invention also provides a device for predicting the settlement value of prefabricated subway station foundations, used to execute the method for predicting the settlement value of prefabricated subway station foundations as described above. Figure 7 This is a structural block diagram of a prefabricated subway station foundation settlement prediction device according to an embodiment of the present invention. The device includes:

[0075] The data acquisition module 21 is used to acquire the first vertical settlement prediction result of the target prefabricated subway station obtained by the Timoshenko-Winkler model, and to acquire the second vertical settlement prediction result of the target prefabricated subway station obtained by the Timoshenko-Pasternak model.

[0076] The data filtering module 22 is used to filter and process the measured settlement data of the target prefabricated subway station to obtain the vertical settlement measurement results of the target prefabricated subway station within a preset information interval.

[0077] The coefficient acquisition module 23 is used to determine the vertical settlement coefficient of the target prefabricated subway station considering the influence of the ring connection based on the first vertical settlement prediction result, the second vertical settlement prediction result and the vertical settlement measurement result.

[0078] The curve plotting module 24 is used to substitute the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring connection into the pre-constructed settlement prediction formula to obtain the vertical settlement prediction result of the target prefabricated subway station, and plot the vertical settlement prediction curve based on the vertical settlement prediction result.

[0079] The foundation prediction module 25 is used to predict the foundation settlement value of the target prefabricated subway station based on the vertical settlement prediction curve during the actual construction measurement process.

[0080] The technical features and effects of the device proposed in the embodiments of the present invention are the same as those of the method proposed in the embodiments of the present invention, and will not be repeated here. Each module in the above-described device can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0081] This invention also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the prefabricated subway station foundation settlement prediction method as described above.

[0082] This invention also provides a computer device. Figure 8 This is a structural block diagram of a preferred embodiment of a computer device provided by the present invention. The computer device includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the prefabricated subway station foundation settlement prediction method as described above.

[0083] Preferably, the computer program can be divided into one or more modules / units (such as computer program 1, computer program 2, ...), and the one or more modules / units are stored in the memory and executed by the processor to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the computer device.

[0084] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor, or the processor can be any conventional processor. The processor is the control center of the computer device, connecting various parts of the computer device through various interfaces and lines.

[0085] The memory mainly includes a program storage area and a data storage area. The program storage area can store the operating system, applications required for at least one function, etc., while the data storage area can store related data, etc. Furthermore, the memory can be a high-speed random access memory, or a non-volatile memory, such as a plug-in hard drive, a SmartMedia Card (SMC), a Secure Digital (SD) card, and a Flash Card, or other volatile solid-state storage devices.

[0086] It should be noted that the aforementioned computer equipment may include, but is not limited to, processors and memory, as will be understood by those skilled in the art. Figure 8 The block diagram is merely an example of a computer device and does not constitute a limitation on the computer device. It may include more or fewer components than shown, or combine certain components, or different components.

[0087] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for predicting the settlement value of prefabricated subway station foundations, characterized in that, include: Obtain the first vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Winkler model, and obtain the second vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Pasternak model; The measured settlement data of the target prefabricated subway station are filtered and processed to obtain the vertical settlement measurement results of the target prefabricated subway station within the preset signal interval; The vertical settlement coefficient, which takes into account the effect of ring connection, is determined based on the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement measurement result of the target prefabricated subway station. Substituting the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring joint into the pre-constructed settlement prediction formula, the vertical settlement prediction result of the target prefabricated subway station is obtained. A vertical settlement prediction curve is then plotted based on the vertical settlement prediction result. Specifically, this includes: determining the foundation settlement mode based on the first and second vertical settlement prediction results; the foundation settlement mode includes a first settlement mode, a second settlement mode, and a third settlement mode, where the first settlement mode is a foundation settlement mode using ring joint reinforcement, the second settlement mode is a foundation settlement mode using foundation reinforcement, and the third settlement mode is a foundation settlement mode using both foundation reinforcement and ring joint reinforcement; and plotting a vertical settlement prediction curve based on the foundation settlement mode, the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring joint. The vertical settlement prediction curve for the first settlement mode is as follows: w=w2 Where w2 represents the deformation considering foundation settlement; The vertical settlement prediction curve for the second settlement mode is as follows: w=w1 Where w1 represents the deformation caused by considering the effect of the ring joint; The vertical settlement prediction curve for the third settlement mode is as follows: w = aw1 + (1-a)w2 Where 'a' is the vertical settlement coefficient considering the effect of the ring-to-ring connection; In the actual construction surveying process, the foundation settlement value of the target prefabricated subway station is predicted based on the vertical settlement prediction curve.

2. The method for predicting the foundation settlement of prefabricated subway stations as described in claim 1, characterized in that, The process of filtering and processing the measured settlement data of the target prefabricated subway station to obtain the vertical settlement measurement results of the target prefabricated subway station within a pre-set interval includes: Based on the actual vertical settlement measurements of the target prefabricated subway station, a scatter plot of the settlement values ​​was plotted using Matlab. The vertical settlement measurement results within the pre-set information interval of the target prefabricated subway station are obtained based on the scatter plot.

3. The method for predicting the foundation settlement of prefabricated subway stations as described in claim 2, characterized in that, The range of the preset information interval is 95%.

4. A prefabricated subway station foundation settlement prediction device, characterized in that, include: The data acquisition module is used to acquire the first vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Winkler model, and to acquire the second vertical settlement prediction result of the target prefabricated subway station output by the Timoshenko-Pasternak model. The data filtering module is used to filter and process the measured settlement data of the target prefabricated subway station to obtain the vertical settlement measurement results of the target prefabricated subway station within a preset information interval. The coefficient acquisition module is used to determine the vertical settlement coefficient of the target prefabricated subway station considering the influence of ring connection based on the first vertical settlement prediction result, the second vertical settlement prediction result and the vertical settlement measurement result. The curve plotting module is used to substitute the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring joint into a pre-constructed settlement prediction formula to obtain the vertical settlement prediction result of the target prefabricated subway station, and plot the vertical settlement prediction curve based on the vertical settlement prediction result; specifically, it includes: determining the foundation settlement mode based on the first vertical settlement prediction result and the second vertical settlement prediction result; the foundation settlement mode includes a first settlement mode, a second settlement mode, and a third settlement mode, wherein the first settlement mode is a foundation settlement mode using ring joint reinforcement, the second settlement mode is a foundation settlement mode using foundation reinforcement, and the third settlement mode is a foundation settlement mode using both foundation reinforcement and ring joint reinforcement; plotting the vertical settlement prediction curve based on the foundation settlement mode, the first vertical settlement prediction result, the second vertical settlement prediction result, and the vertical settlement coefficient considering the influence of the ring joint; The vertical settlement prediction curve for the first settlement mode is as follows: w=w2 Where w2 represents the deformation considering foundation settlement; The vertical settlement prediction curve for the second settlement mode is as follows: w=w1 Where w1 represents the deformation caused by considering the effect of the ring joint; The vertical settlement prediction curve for the third settlement mode is as follows: w = aw1 + (1-a)w2 Where 'a' is the vertical settlement coefficient considering the effect of the ring-to-ring connection; The foundation prediction module is used to predict the foundation settlement value of the target prefabricated subway station based on the vertical settlement prediction curve during the actual construction survey process.

5. A computer device, characterized in that, The method includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor, when executing the computer program, implements the method for predicting the foundation settlement value of a prefabricated subway station as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein when the device containing the computer-readable storage medium executes the computer program, it implements the method for predicting the foundation settlement value of prefabricated subway stations as described in any one of claims 1 to 3.

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