A method and system for monitoring deformation simulation of a deep foundation pit supporting structure of a wharf dumper room

Abstract

The present application relates to the technical field of deep foundation pit engineering construction monitoring, in particular to a kind of wharf tippler room deep foundation pit supporting structure construction monitoring deformation simulation method and system;The method is first based on construction mode, geological characteristics and other key causes, divides deformation mode and constructs the deformation mode library of working condition full coverage;After pre-processing construction monitoring data, combined with modal library data, construct deformation mode combination weight optimization model, convert into linear programming model to obtain combination weight;Based on weight calculation supporting structure control point position three-dimensional deformation value and deformation coordinate, generate the overall deformation three-dimensional model using B-spline method, and update the model in real time through dynamic monitoring data.The present application breaks through the limitation of limited monitoring point, realizes the high-precision simulation and real-time three-dimensional visualization of supporting structure overall deformation, does not need to rely on a large number of historical data, and has strong adaptability, provides reliable technical support for wharf tippler room deep foundation pit construction safety early warning and management.

Description

Technical Field

[0001] This invention relates to the field of construction monitoring technology for deep foundation pit engineering, specifically to a method and system for simulating deformation during construction monitoring of the support structure of a wharf tippler room in a deep foundation pit. Background Technology

[0002] The wharf tippler house is a core hub facility for bulk cargo transshipment at ports. Its deep foundation pit engineering presents significant challenges and high safety risks due to its proximity to the wharf shoreline, predominantly soft soil near water, and substantial impact from water level fluctuations. The diaphragm wall structure, with its strong integrity, excellent impermeability, and high load-bearing capacity, has become the primary support structure for deep foundation pit engineering in wharf tippler houses. Its structural stability directly determines the construction safety of the wharf tippler house. During construction, the diaphragm wall support structure is susceptible to cumulative deformation in stress concentration areas due to the combined effects of soil unloading and consolidation, groundwater level fluctuations, changes in construction loads, and uneven geological conditions. This can even lead to foundation pit collapses and other safety accidents. Therefore, monitoring and dynamic simulation of the construction deformation of the deep foundation pit support structure is a core requirement for the safety management of deep foundation pit construction in wharf tippler houses.

[0003] Currently, deformation monitoring of the deep foundation pit support structure of the wharf tipper room is mainly achieved by deploying sensors such as strain gauges, displacement gauges, and inclinometers. However, due to limitations in construction site conditions and cost, these sensors can only be deployed at a limited number of points, monitoring only local deformations such as strain of the diaphragm wall, horizontality of the wall top, and settlement, and cannot reflect the overall deformation of the support structure. Existing technologies often use methods such as Kriging interpolation and distance-weighted interpolation to interpolate and fit discrete measurement point data to obtain the overall deformation distribution. However, these methods do not consider the stress characteristics of the diaphragm wall structure and actual construction conditions, resulting in low deformation estimation accuracy. There are also deformation prediction methods based on machine learning, but these rely on a large amount of historical data from similar projects, resulting in time-consuming model training, poor generalization ability, and the ability to only predict single-point deformation, failing to simulate overall deformation. Furthermore, traditional deformation prediction results are mostly presented as numerical reports or two-dimensional curves, failing to intuitively display the three-dimensional overall deformation state of the support structure, which is detrimental to the analysis and early warning of construction safety risks. Summary of the Invention

[0004] The purpose of this invention is to propose a method and system for construction monitoring and deformation simulation of deep foundation pit support structure for wharf tipper rooms, which realizes high-precision simulation and real-time three-dimensional visualization of the overall deformation of the support structure based on limited monitoring points, and provides reliable technical support for construction safety early warning.

[0005] According to a first aspect of the present disclosure, a method for simulating deformation during construction monitoring of a deep foundation pit support structure for a wharf tippler room is provided, comprising the following steps: Based on the stress characteristics and deformation causes of the deep foundation pit construction of the wharf tippler room, a deformation mode library of the support structure covering all working conditions is constructed. The construction monitoring data of the deep foundation pit support structure of the wharf tippler room is preprocessed. Based on the preprocessed monitoring data and combined with the modal data in the deformation modal library of the support structure, a combined weight optimization model of the deformation modal of the support structure is constructed. The model is transformed into a linear programming model and solved to obtain the combined weight value of each deformation mode. Based on the requirements of construction deformation safety analysis and three-dimensional simulation, control points on the support structure are selected. The three-dimensional deformation value of the control points is obtained based on the combined weight value. Combined with the initial three-dimensional coordinates of the control points, the three-dimensional coordinates of the control points after deformation are obtained. Based on the three-dimensional coordinates of the control points after deformation, the B-spline method is used to generate an overall deformation three-dimensional model of the deep foundation pit support structure of the wharf tippler room, and the three-dimensional model is updated in real time based on dynamically updated construction monitoring data.

[0006] In one embodiment, the method for constructing a support structure deformation mode library that fully covers all working conditions is as follows: Based on the key influencing factors of the deformation of the deep foundation pit support structure during the construction of the wharf tippler room, the deformation modes of the support structure are divided into uneven excavation mode, different construction water level mode, local defect mode of support structure, local load mode of adjacent construction, and deviation mode of construction geological conditions. Based on the engineering design data and construction plan of the wharf tippler room, the basic construction conditions of the support structure are constructed. On the basis of the basic construction conditions, the condition changes of the above deformation modes are superimposed to construct the construction conditions corresponding to each deformation mode. Simulate the overall deformation of the support structure under the construction conditions corresponding to each deformation mode, and obtain the three-dimensional deformation values ​​of each point of the structure under each condition. These values ​​serve as the basic construction deformation modes for the corresponding conditions. Integrate all the basic construction deformation modes to form a deformation mode library.

[0007] In one embodiment, the construction conditions corresponding to each deformation mode are constructed as follows: Non-uniform excavation mode: By superimposing the basic uniform excavation mode with the eccentric excavation conditions in multiple directions of the foundation pit, multiple sets of non-uniform excavation mode conditions are formed. Different construction water level modes: By superimposing the extreme construction water level conditions at each stage of construction with the basic construction conditions, multiple sets of different construction water level modes are formed. Local defect mode of support structure: By superimposing the basic construction conditions with the stiffness attenuation of the diaphragm wall joints, each joint independently constructs a condition, forming a local defect mode condition corresponding to the number of joints. Adjacent construction local load mode: The maximum possible local load during construction is applied to the surrounding area of ​​the foundation pit in multiple directions and superimposed with the basic construction conditions to form multiple sets of adjacent construction local load mode conditions. Construction geological condition deviation mode: By superimposing the thickness variation of soft soil layers in multiple directions of the foundation pit with basic construction conditions, multiple sets of construction geological condition deviation mode conditions are formed.

[0008] In one embodiment, the method for constructing the weighted optimization model of the deformation modes of the support structure is as follows: Extract three-dimensional deformation data of each monitoring point from the preprocessed construction monitoring data. ,in u and v The direction is horizontal. The direction is vertical. This represents the set of monitoring points; the process does not consider deformation data in unmonitored directions; three-dimensional deformation data of each mode corresponding to the monitoring points are extracted from the deformation mode library. , i ， It is the set of modes in the deformation mode library; Introducing nonnegative auxiliary variables ( 、( and( The deformation constraint equations of the combined weight optimization model of the deformation modes of the support structure are constructed as follows: in, ≥0 represents the deformation mode. i The combined weights; Extract the three-dimensional deformation data of the monitoring points near each mode from the deformation mode library. and ,in , and They are respectively Given the lower and upper neighbor points in the direction, and the fixed distance between the upper and lower neighbor points, construct an objective function with the goal of optimizing the overall deformation smoothness of the structure: .

[0009] In one embodiment, the method for transforming the support structure deformation mode combination weight optimization model into a linear programming model is as follows: introducing non-negative auxiliary variables. ( )and ( The objective function is transformed into a linear objective function, which is: Simultaneously construct constraint equations: A linear programming model is formed by combining the deformation constraint equations.

[0010] In one embodiment, the three-dimensional deformation value of the control point is: Where k is the structural control point number. Control points k The three-dimensional deformation value, Deformation modes i Corresponding control point number k The three-dimensional deformation value of the location. It is the set of modes in the deformation mode library; The three-dimensional coordinates of the control points after deformation are: in, Control point number k The initial three-dimensional coordinates of the position. , , Control points after deformation k The three-dimensional coordinates.

[0011] According to a second aspect of the present disclosure, a deformation simulation system for monitoring the construction of a deep foundation pit support structure for a wharf tippler room is provided, comprising: The deformation mode library management module is used to build, store and manage the deformation mode library of the support structure, realize the addition, modification and deletion of deformation modes, as well as the import and export of modal data, and provide modal data support for weight calculation. The monitoring data receiving module is used to receive construction monitoring data of the dock tippler room, preprocess the monitoring data, and output the preprocessed monitoring data. The deformation mode combination weight optimization calculation module is used to call the preprocessed data output by the monitoring data receiving module and the modal data in the deformation mode library management module, construct the deformation mode combination weight optimization model and transform it into a linear programming model, and use the simplex method to solve for the combination weight value of each deformation mode. The overall deformation combination calculation and generation module is used to set and manage the control points of the support structure. It calls the combined weight values ​​output by the weight optimization calculation module and the modal data in the deformation modality library management module to obtain the three-dimensional deformation values ​​and three-dimensional coordinates of the control points. It uses the B-spline method to generate and visualize the overall deformation three-dimensional model of the support structure, and updates the three-dimensional model in real time based on dynamic monitoring data.

[0012] In one embodiment, the visualization function of the overall deformation combination calculation generation module is real-time three-dimensional visualization, which realizes real-time monitoring of the construction deformation of the deep foundation pit support structure of the wharf tippler room, and provides data and model support for construction safety early warning analysis.

[0013] According to a third aspect of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and running on the memory. When the processor executes the program, it implements the aforementioned method for simulating deformation during construction monitoring of a deep foundation pit support structure for a wharf tipper room.

[0014] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the aforementioned method for simulating deformation during construction monitoring of a deep foundation pit support structure for a wharf tippler room.

[0015] The advantages of the above technical solutions adopted in this invention compared with the prior art are as follows: 1. This invention, through deformation mode combination weight optimization calculation, breaks through the limitation of limited monitoring points, can accurately simulate the deformation state of non-monitored areas of the support structure, and fully reflect the overall deformation of the support structure during the construction of the wharf tippler room. It provides more comprehensive and reliable technical support for construction safety early warning analysis, and avoids the limitation of traditional methods that can only monitor local areas.

[0016] 2. This invention can update the deformation combination weights in real time based on construction dynamic monitoring data, and simultaneously update the three-dimensional deformation model of the support structure, transforming abstract deformation data into an intuitive visualization model. This helps construction managers quickly grasp the deformation status of the structure, effectively improving the timeliness of construction safety early warning and decision-making efficiency, and reducing the difficulty of safety risk management.

[0017] 3. The deformation modality library of the present invention can be flexibly adjusted according to the engineering design, geological conditions and construction scheme of different wharf tippler rooms, without relying on a large amount of historical data of similar projects. At the same time, it integrates data processing, weight calculation, model generation and visualization into one, which is easy to operate and can directly serve actual construction management, and has strong engineering practicality. Attached Figure Description

[0018] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an undue limitation of this application.

[0019] Figure 1 Flowchart of a method for simulating deformation during construction monitoring of the deep foundation pit support structure of a wharf tippler room; Figure 2 Flowchart for simulation of deformation monitoring during construction of deep foundation pit support structure for wharf tipper room; Figure 3 Architecture diagram of a deformation simulation system for monitoring the construction of the deep foundation pit support structure of a wharf tippler room; Figure 4 This is a visualization of the deformation results during the construction monitoring of the deep foundation pit support structure for a wharf tipper room. Detailed Implementation

[0020] The present disclosure will be further described below with reference to the accompanying drawings and embodiments.

[0021] It should be noted that the following detailed descriptions are exemplary and intended to provide further explanation of this application. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains.

[0022] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this application. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0023] It should be noted that the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of this disclosure. It should be noted that each block in a flowchart or block diagram may represent a module, segment, or portion of code, which may include one or more executable instructions for implementing the logical functions specified in the various embodiments. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutively represented blocks may actually be executed substantially in parallel, or they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the flowcharts and / or block diagrams, and combinations of blocks in the flowcharts and / or block diagrams, may be implemented using a dedicated hardware-based system that performs the specified functions or operations, or using a combination of dedicated hardware and computer instructions.

[0024] Example 1: like Figure 1 As shown in the figure, this embodiment provides a method for simulating deformation during construction monitoring of the deep foundation pit support structure of a wharf tippler room, including the following steps: S1. Based on the stress characteristics and deformation causes of the deep foundation pit construction of the wharf tippler room, construct a support structure deformation mode library covering all working conditions; Considering the stress characteristics of the support structure during the construction of the deep foundation pit of the wharf tippler room and the different inducing conditions that may cause deformation of the support structure, typical working conditions for the deformation modes of the support structure are constructed. High-precision engineering numerical simulation software is used to calculate the overall deformation of the support structure under these typical working conditions, obtaining the overall deformation modes of the support structure under different typical working conditions, thus forming a structural deformation mode library covering all working conditions. The specific method is as follows: Step 11: Based on the key influencing factors of deformation during the construction of the deep foundation pit support structure of the wharf tippler room (including construction method, environmental conditions, geological characteristics, etc.), the deformation modes of the support structure are divided into 5 categories, specifically including: uneven excavation mode, different construction water level mode, local defect mode of support structure, local load mode of adjacent construction, and deviation mode of construction geological conditions.

[0025] Step 12: Based on the engineering design data and construction plan of the tippler room, construct the basic construction conditions of the support structure; on the basis of the basic construction conditions, superimpose the condition changes corresponding to the five deformation modes to obtain the corresponding conditions for each deformation mode. The specific construction method is as follows: Construction of non-uniform excavation modal conditions: The eccentric excavation conditions in the four directions of the foundation pit are superimposed with the basically uniform excavation conditions to form four non-uniform excavation modal conditions. Construction of different construction water level modal conditions: The highest and lowest construction water level conditions at each stage of construction are superimposed with the basic construction conditions to form two different construction water level modal conditions; Construction of local defect modal conditions for the support structure: The condition with reduced stiffness (selected as a 20-50% attenuation range) at the diaphragm wall joints is superimposed on the basic construction condition, and each joint is constructed independently; if the diaphragm wall includes n A seam, thus forming n Local defect modal conditions; Construction of local load modal cases in adjacent construction: The maximum local load that may occur during construction is applied to the surrounding area of ​​the foundation pit in 8 directions, and then superimposed with the basic construction conditions to form 8 local load modal cases in adjacent construction. Construction of construction geological condition deviation modal conditions: The thickness variation conditions of 1 to 3 layers of soft soil (selecting a thickness increase of 1 to 3 times) in the four directions of the foundation pit are superimposed with the basic construction conditions to form 4 construction geological condition deviation modal conditions.

[0026] Step 13: Using high-precision engineering numerical simulation software, simulate and calculate the overall deformation of the support structure under each of the above construction deformation modes to obtain the three-dimensional deformation values ​​of all points of the support structure under each condition, and use these values ​​as the basic construction deformation modes for the corresponding conditions; through simulation calculations of all conditions, a model containing 19+ n A library of construction deformation modes for the deep foundation pit support structure of the wharf tippler room (including 1 basic construction condition mode).

[0027] S2. Preprocess the construction monitoring data of the deep foundation pit support structure of the wharf tippler room. Based on the preprocessed monitoring data and combined with the modal data in the support structure deformation modal library, construct the support structure deformation modal combination weight optimization model. Transform the model into a linear programming model and solve it to obtain the combination weight value of each deformation mode. Based on monitoring data from the deep foundation pit construction of the tippler room (after Gaussian filtering and anomaly data preprocessing), a weighted optimization model for the deformation mode combination of the support structure is constructed. The optimization objective is to achieve smooth overall structural deformation, and the main constraint is the consistency constraint of deformation at monitoring points. Details are as follows: Step 21: Based on construction monitoring data and the deformation mode library, construct a weighted optimization model for the deformation mode combination of the support structure, and use... Representing deformation modes i The combined weights, where This represents the set of modes in the structural deformation mode library. The specific construction steps are as follows: Step 21.1: Extract the three-dimensional deformation data of each monitoring point from the construction monitoring data after pretreatment of the deep foundation pit support structure of the wharf tippler room. ,in u and v The direction is horizontal. The direction is vertical. This is a set of monitoring points; the process does not consider deformation data in unmonitored directions. Simultaneously, three-dimensional deformation data for each mode corresponding to the monitoring points are extracted from the structural deformation mode library. , i .

[0028] Step 21.2: Introduce non-negative auxiliary variables ( 、( and( The deformation constraint equations for the combined weight optimization model of the deformation modes of the support structure are constructed as follows: Step 21.3: Extract the three-dimensional deformation data of the monitoring points adjacent to each mode from the structural deformation mode library. and ,in , and They are respectively The lower and upper nearest neighbors in a direction; for example Representing deformation modes At the measuring point of Downward adjacent points Directional deformation, the distance between adjacent points above and below. Take a fixed value, for example The objective function aims to optimize the overall structural deformation smoothness, and the formula is as follows: Step 22: Introduce nonnegative auxiliary variables ( )and ( The model constructed in step 21 is transformed into a linear programming model, and its objective function is given by equation (equation 21). The constraints include equations (1~3) and (5) as well as the constraint that the variables are non-zero; by solving the linear programming model using the simplex method, the combined weight values ​​of each structural deformation mode can be obtained. ): S3. Based on the requirements of construction deformation safety analysis and three-dimensional simulation, select control points on the support structure, obtain the three-dimensional deformation value of the control points based on the combined weight value, and obtain the three-dimensional coordinates of the control points after deformation by combining the initial three-dimensional coordinates of the control points. Step 31: Select control points on the support structure. These points must meet the requirements of construction deformation safety analysis and overall deformation 3D simulation, for example, the interval between control points should be less than 1 meter.

[0029] Step 32: Using the formula The three-dimensional deformation values ​​at the structural control points were obtained respectively. ,in Numbering of structural control points. To obtain the deformation modes i The combined weight value, Deformation modes i Corresponding control point number k The three-dimensional deformation value at the location can be used to obtain the real-time three-dimensional deformation value at the structural control point, enabling deformation prediction at points on the structure without sensors.

[0030] Step 33: Using the formula The control points after deformation were obtained respectively. k 3D coordinates ,in Numbering of structural control points. Control point number k The initial three-dimensional coordinates of the location (known values); S4. Based on the three-dimensional coordinates of the control points after deformation, the B-spline method is used to generate an overall deformation three-dimensional model of the deep foundation pit support structure of the wharf tippler room, and the three-dimensional model is updated in real time based on dynamically updated construction monitoring data.

[0031] The basic process of deformation simulation using the above method is as follows: Figure 2 As shown, firstly, a deformation module library for the support structure of the tippler room is constructed based on actual engineering conditions and construction plans; then, based on real-time updated data from the tippler room construction monitoring, the weight values ​​of the deformation mode combination of the support structure are dynamically optimized and calculated; next, based on the weight values ​​obtained from the solution, the deformation values ​​of the overall deformation control points of the support structure are calculated, which can be used for construction safety early warning analysis; finally, a 3D model of the overall deformation of the support structure is drawn based on the B-spline method, and the model is updated in real time according to the dynamic construction monitoring data, realizing real-time simulation of the deformation of the deep foundation pit support structure of the wharf tippler room.

[0032] Example 2: like Figure 3 As shown, this embodiment provides a deformation simulation system for monitoring the construction of a deep foundation pit support structure for a wharf tippler room, including: The deformation mode library management module is used to build, store and manage the deformation mode library of the support structure, realize the addition, modification and deletion of deformation modes, as well as the import and export of modal data, and provide modal data support for weight calculation. The monitoring data receiving module is used to receive construction monitoring data of the dock tippler room, preprocess the monitoring data, and output the preprocessed monitoring data. The deformation mode combination weight optimization calculation module is used to call the preprocessed data output by the monitoring data receiving module and the modal data in the deformation mode library management module, construct the deformation mode combination weight optimization model and transform it into a linear programming model, and use the simplex method to solve for the combination weight value of each deformation mode. The overall deformation combination calculation and generation module is used to set and manage the control points of the support structure. It calls the combined weight values ​​output by the weight optimization calculation module and the modal data in the deformation modality library management module to obtain the three-dimensional deformation values ​​and three-dimensional coordinates of the control points. It uses the B-spline method to generate and visualize the overall deformation three-dimensional model of the support structure, and updates the three-dimensional model in real time based on dynamic monitoring data.

[0033] The above modules can be deployed on the same device or distributed devices; the division of modules is only a functional logic description and does not limit the specific physical boundaries or implementation order.

[0034] Example 3: An electronic device is provided for running the aforementioned "Deformation Simulation Method for Construction Monitoring of Deep Foundation Pit Support Structure of Dock Tilter Room". The electronic device includes a processor, a memory, and optional communication interfaces / display devices / input devices, etc.; the memory stores a computer program that can run on the processor, and when the processor executes the program, it implements steps S1 to S4 of the method described in Embodiment 1, specifically including but not limited to: S1. Based on the stress characteristics and deformation causes of the deep foundation pit construction of the wharf tippler room, construct a support structure deformation mode library covering all working conditions; S2. Preprocess the construction monitoring data of the deep foundation pit support structure of the wharf tippler room. Based on the preprocessed monitoring data and combined with the modal data in the support structure deformation modal library, construct the support structure deformation modal combination weight optimization model. Transform the model into a linear programming model and solve it to obtain the combination weight value of each deformation mode. S3. Based on the requirements of construction deformation safety analysis and three-dimensional simulation, select control points on the support structure, obtain the three-dimensional deformation value of the control points based on the combined weight value, and obtain the three-dimensional coordinates of the control points after deformation by combining the initial three-dimensional coordinates of the control points. S4. Based on the three-dimensional coordinates of the control points after deformation, the B-spline method is used to generate an overall deformation three-dimensional model of the deep foundation pit support structure of the wharf tippler room, and the three-dimensional model is updated in real time based on dynamically updated construction monitoring data.

[0035] The electronic device hardware can be one of a server, personal computer, workstation, industrial controller, edge computing device, or mobile terminal; the processor can be a general-purpose CPU, GPU, NPU, FPGA, or a combination thereof; the memory can be RAM, ROM, flash memory, or disk array. The device can interact with local / remote data storage (acquiring observation data and outputting inversion results) through a communication interface. The above hardware configuration does not constitute a limitation of the present invention.

[0036] Example 4: A computer-readable storage medium storing a computer program, which, when run on a processor of an electronic device, causes the program to perform the method steps S1 to S4 described in Embodiment 1; the storage medium may be a disk, optical disk, flash memory, solid-state drive, read-only memory, random access memory, or any combination of the above media.

[0037] Application example: An experimental scheme was designed based on a deep foundation pit project for a tippler room at a wharf in a coastal city. The deep foundation pit is circular, with a diameter of 74 meters and an excavation depth of 13.6 meters. A circular diaphragm wall support structure system was adopted, with a wall thickness of 1.2 meters, a wall depth of 25.4 meters, and a concrete strength grade of C35. The diaphragm wall unit segment length is 5.9 meters, with a total of 40 segments. Six representative areas were selected for focused monitoring during construction. Horizontal displacement points, vertical displacement points, and inclinometers were installed at the top of the wall in each key area. The method of this invention was used to construct a deformation mode library for the support structure, containing 59 basic modes. A deformation mode combination weight optimization model was constructed and solved to obtain the weight values ​​of each basic deformation mode. Control points on the structure were selected at 1-meter intervals, and the deformation values ​​of the control points were calculated. The deformation results of some control points are shown in Table 1. A 3D model of the overall deformation of the support structure was constructed using cubic B-splines, as shown in the example. Figure 4 As shown, the above calculation process can calculate the deformation value of the control point of the support structure in real time based on dynamically updated monitoring data and dynamically draw the overall deformation 3D model.

[0038] Table 1. Deformation values ​​and errors of some control points in the support structure of the tippler room foundation pit at a certain wharf (unit: mm) Those skilled in the art will understand that the modules or steps described above can be implemented using general-purpose computer devices. Optionally, they can be implemented using computer-executable program code, which can then be stored in a storage device for execution by a computer device. Alternatively, they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. This disclosure is not limited to any particular combination of hardware and software.

[0039] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

[0040] While the specific embodiments of this disclosure have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of this disclosure. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of this disclosure are still within the scope of protection of this disclosure.

Claims

1. A method for simulating deformation during construction monitoring of the deep foundation pit support structure of a wharf tippler room, characterized in that, Includes the following steps: Based on the stress characteristics and deformation causes of the deep foundation pit construction of the wharf tippler room, a deformation mode library of the support structure covering all working conditions is constructed. The construction monitoring data of the deep foundation pit support structure of the wharf tippler room is preprocessed. Based on the preprocessed monitoring data and combined with the modal data in the deformation modal library of the support structure, a combined weight optimization model of the deformation modal of the support structure is constructed. The model is transformed into a linear programming model and solved to obtain the combined weight value of each deformation mode. Based on the requirements of construction deformation safety analysis and three-dimensional simulation, control points on the support structure are selected. The three-dimensional deformation value of the control points is obtained based on the combined weight value. Combined with the initial three-dimensional coordinates of the control points, the three-dimensional coordinates of the control points after deformation are obtained. Based on the three-dimensional coordinates of the control points after deformation, the B-spline method is used to generate an overall deformation three-dimensional model of the deep foundation pit support structure of the wharf tippler room, and the three-dimensional model is updated in real time based on dynamically updated construction monitoring data.

2. The method for construction monitoring and deformation simulation of deep foundation pit support structure for wharf tipper room according to claim 1, characterized in that, The method for constructing a support structure deformation mode library that covers all working conditions is as follows: Based on the key influencing factors of the deformation of the deep foundation pit support structure during the construction of the wharf tippler room, the deformation modes of the support structure are divided into uneven excavation mode, different construction water level mode, local defect mode of support structure, local load mode of adjacent construction, and deviation mode of construction geological conditions. Based on the engineering design data and construction plan of the wharf tippler room, the basic construction conditions of the support structure are constructed. On the basis of the basic construction conditions, the condition changes of the above deformation modes are superimposed to construct the construction conditions corresponding to each deformation mode. Simulate the overall deformation of the support structure under the construction conditions corresponding to each deformation mode, and obtain the three-dimensional deformation values ​​of each point of the structure under each condition. These values ​​serve as the basic construction deformation modes for the corresponding conditions. Integrate all the basic construction deformation modes to form a deformation mode library.

3. The method for simulating deformation during construction monitoring of the deep foundation pit support structure for a wharf tippler room according to claim 2, characterized in that, The construction conditions corresponding to each deformation mode are constructed as follows: Non-uniform excavation mode: By superimposing the basic uniform excavation mode with the eccentric excavation conditions in multiple directions of the foundation pit, multiple sets of non-uniform excavation mode conditions are formed. Different construction water level modes: By superimposing the extreme construction water level conditions at each stage of construction with the basic construction conditions, multiple sets of different construction water level modes are formed. Local defect mode of support structure: By superimposing the basic construction conditions with the stiffness attenuation of the diaphragm wall joints, each joint independently constructs a condition, forming a local defect mode condition corresponding to the number of joints. Adjacent construction local load mode: The maximum possible local load during construction is applied to the surrounding area of ​​the foundation pit in multiple directions and superimposed with the basic construction conditions to form multiple sets of adjacent construction local load mode conditions. Construction geological condition deviation mode: By superimposing the thickness variation of soft soil layers in multiple directions of the foundation pit with basic construction conditions, multiple sets of construction geological condition deviation mode conditions are formed.

4. The method for simulating deformation during construction monitoring of the deep foundation pit support structure for a wharf tippler room according to claim 1, characterized in that, The method for constructing the weighted optimization model of the deformation modes of the support structure is as follows: Extract three-dimensional deformation data of each monitoring point from the preprocessed construction monitoring data. ,in u and v The direction is horizontal. The direction is vertical. , represents the set of monitoring points; this process does not consider deformation data in unmonitored directions; Extract the three-dimensional deformation data of each mode corresponding to the monitoring points from the deformation mode library. , i ， It is the set of modes in the deformation mode library; Introducing nonnegative auxiliary variables ( 、( and( The deformation constraint equations of the combined weight optimization model of the deformation modes of the support structure are constructed as follows: in, ≥0 represents the deformation mode. i The combined weights; Extract the three-dimensional deformation data of the monitoring points near each mode from the deformation mode library. and ,in , and They are respectively Given the lower and upper neighbor points in the direction, and the fixed distance between the upper and lower neighbor points, construct an objective function with the goal of optimizing the overall deformation smoothness of the structure: 。 5. The method for construction monitoring and deformation simulation of deep foundation pit support structure for wharf tipper room according to claim 4, characterized in that, The method to transform the support structure deformation mode combination weight optimization model into a linear programming model is as follows: introduce non-negative auxiliary variables. ( )and ( The objective function is transformed into a linear objective function, which is: Simultaneously construct constraint equations: A linear programming model is formed by combining the deformation constraint equations.

6. The method for simulating deformation during construction monitoring of the deep foundation pit support structure for a wharf tippler room according to claim 1, characterized in that, The three-dimensional deformation values ​​of the control points are: in, k Numbering of structural control points. Control points k The three-dimensional deformation value, Deformation modes i Corresponding control point number k The three-dimensional deformation value of the location. It is the set of modes in the deformation mode library; The three-dimensional coordinates of the control points after deformation are: in, Control point number k The initial three-dimensional coordinates of the position. , , Control points after deformation k The three-dimensional coordinates.

7. A deformation simulation system for monitoring the construction of a deep foundation pit support structure for a wharf tippler room, characterized in that, include: The deformation mode library management module is used to build, store and manage the deformation mode library of support structures, and realize the addition, modification and deletion of deformation modes, as well as the import and export of modal data; The monitoring data receiving module is used to receive construction monitoring data of the dock tippler room, preprocess the monitoring data, and output the preprocessed monitoring data. The deformation mode combination weight optimization calculation module is used to call the preprocessed data output by the monitoring data receiving module and the modal data in the deformation mode library management module, construct the deformation mode combination weight optimization model and transform it into a linear programming model, and use the simplex method to solve for the combination weight value of each deformation mode. The overall deformation combination calculation and generation module is used to set and manage the control points of the support structure, call the combination weight values ​​and modal data, obtain the three-dimensional deformation values ​​and three-dimensional coordinates of the control points, generate and visualize the overall deformation three-dimensional model of the support structure using the B-spline method, and update the three-dimensional model in real time based on dynamic monitoring data.

8. The deformation simulation system for monitoring the construction of a deep foundation pit support structure for a wharf tippler room according to claim 7, characterized in that, The visualization function of the overall deformation combination calculation generation module is real-time three-dimensional visualization, which enables real-time monitoring of the construction deformation of the deep foundation pit support structure of the wharf tippler room.

9. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and running thereon, characterized in that, When the processor executes the program, it implements the deformation simulation method for construction monitoring of deep foundation pit support structure of wharf tippler room as described in any one of claims 1-6.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the deformation simulation method for construction monitoring of the deep foundation pit support structure of the wharf tippler room as described in any one of claims 1-6.

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