Corrugated steel web continuous beam bridge construction linear control method and computing equipment

Abstract

The invention discloses a corrugated steel web continuous beam bridge construction linear control method and computing equipment. The method comprises the following steps that bridge linear twin data are obtained; based on the obtained bridge linear twinborn data, establishing a corrugated steel web continuous beam bridge digital twinborn model; the digital twin model of the corrugated steel web continuous beam bridge is assembled; updating and verifying the assembled digital twin model of the corrugated steel web continuous beam bridge; and correcting the digital twinborn model of the corrugated steel web continuous beam bridge based on a cyclic nesting mode, and performing monitoring and early warning on a physical entity. According to the method, a digital twinborn model of the corrugated steel web continuous girder bridge is established by obtaining linear twinborn data of the bridge; by correcting the digital twinborn model of the corrugated steel web continuous beam bridge and performing monitoring and early warning on a physical entity, accurate monitoring on linear and section information in the construction stage of the corrugated steel web continuous beam bridge is realized, so that the construction efficiency and quality are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of oil and gas field development, and particularly to a construction alignment control method and a calculation device for a continuous girder bridge with corrugated steel webs. Background Technique

[0002] Bridge construction monitoring is the key to ensuring the macroscopic quality control of bridge construction and an important link in bridge construction. Monitoring indicators such as its structural alignment and geometric shape reflect the quality level of the current bridge construction. Therefore, it is of great significance to accurately monitor the bridge alignment information during the construction stage.

[0003] For a continuous girder bridge with corrugated steel webs, the lightweight and high-strength corrugated steel webs are used to replace the concrete webs, greatly reducing the self-weight of the beam body. The corrugated steel web box girder also improves the shear resistance of the web and the structural durability, and can effectively solve the disease of web cracking, with excellent performance. The corrugated steel web box girder mostly adopts the synchronous different-position construction method. In each construction stage, the casting of n - 1 sections of the top plate, n sections of the bottom plate, and the installation of n + 1 sections of the corrugated steel webs are divided into three relatively independent construction surfaces. After the segment construction is completed, in-body prestressing is carried out.

[0004] However, due to the complexity of the force system of a multi-span continuous girder bridge with corrugated steel webs, there are differences between the ideal state and the actual state in many aspects such as design calculation, material properties of bridge materials, and construction accuracy, and the construction quality requirements are high. In addition, due to the many influencing factors of the main girder alignment, if not properly controlled, it will lead to the deviation of the alignment from the design, resulting in relatively low construction efficiency and quality, being unable to meet the construction quality requirements, and there are also potential safety hazards. Summary of the Invention

[0005] The main purpose of the present invention is to provide a construction alignment control method and a calculation device for a continuous girder bridge with corrugated steel webs, aiming to solve the technical problems of relatively low construction efficiency and quality and potential safety hazards in the prior art.

[0006] To achieve the above object, the present invention provides a construction alignment control method for a continuous girder bridge with corrugated steel webs. The method includes the following steps: S10, obtaining the bridge alignment twin data; S20, based on the obtained bridge alignment twin data, establishing a digital twin model of the continuous girder bridge with corrugated steel webs; S30, assembling the digital twin model of the continuous girder bridge with corrugated steel webs; S40, updating and validating the assembled digital twin model of the continuous girder bridge with corrugated steel webs; S50, correcting the digital twin model of the continuous girder bridge with corrugated steel webs in a loop-nested manner, and monitoring and warning the physical entity.

[0007] Optionally, the step S10 includes the following steps: S110, obtaining the data required for the main beam geometric model; S120, obtaining the physical parameters of the corrugated steel web continuous beam bridge at each construction stage; S130, obtaining the time variation law of the physical parameters through continuous monitoring and establishing a behavior model; S140, setting the restriction conditions of the time variation law.

[0008] Optionally, the step S110 includes the following steps: S1101, selecting a key section based on the structural characteristics of the corrugated steel web continuous beam bridge entity and the construction characteristics of the synchronous ex-situ method; S1102, arranging a number of displacement meters at the key section to collect displacement data; S1103, arranging a measuring station near the bridge entity, setting up a three-dimensional laser scanner, and performing a point cloud scan on the bridge entity to obtain the geometric dimension information of the bridge entity.

[0009] Optionally, the geometric dimension information includes cross-sectional dimensions, main beam length, control section position, control section height, corrugated steel web cross-sectional dimensions, corrugated steel web flatness, and corrugated steel web curvature.

[0010] Optionally, step S20 includes the following steps: S210, establishing a digital twin geometric model of a continuous beam bridge with corrugated steel web based on the acquired linear twin data of the bridge; S220, establishing a digital twin physical model of a continuous beam bridge with corrugated steel web based on the material mechanical properties, material physical properties, boundary conditions, load effects and environmental factors of the corrugated steel web; S230, establishing a digital twin behavior model of a continuous beam bridge with corrugated steel web; S240, establishing a digital twin rule model of a continuous beam bridge with corrugated steel web based on changes in relevant bridge construction specifications and twin control indicators.

[0011] Optionally, step S30 includes the following steps: S310, based on the digital twin geometric model of the corrugated steel web continuous beam bridge, multiple scans are performed to obtain the geometric information between the various parts of the structural entity, and the three-dimensional point clouds are matched through reference objects between the parts to obtain the overall appearance of the physical entity; S320, based on the digital twin physical model of the corrugated steel web continuous beam bridge, each component is divided into units, loads and boundary conditions are activated in sequence, and each construction stage is calculated and simulated to obtain the full process response of mechanical information; S330, after obtaining the collected real-time information, the digital twin geometric model of the corrugated steel web continuous beam bridge, the digital twin physical model of the corrugated steel web continuous beam bridge, the digital twin behavior model of the corrugated steel web continuous beam bridge and the digital twin rule model of the corrugated steel web continuous beam bridge are updated simultaneously, and the model output information is instantly compared, analyzed and integrated, and output to on-site personnel.

[0012] Optionally, the step S40 includes the following steps: S410, performing data comparison and verification; S420, performing sensitivity analysis; S430, performing parameter correction; S440, updating the digital twin model of the corrugated steel web continuous girder bridge and performing verification again until satisfactory model accuracy and reliability are achieved.

[0013] Optionally, the step S50 includes the following steps: S510, performing multi-source heterogeneous data fusion; S520, performing real-time data transmission; S530, performing model update and correction.

[0014] Optionally, the step S520 includes the following steps: S521, establishing a database, performing automatic collection and transmission, and building a bridge monitoring and management platform; S522, obtaining the design scheme of the bridge monitoring system management platform.

[0015] Optionally, the step S530 includes the following steps: S531, constructing an objective function based on the non-linear least squares problem; S532, establishing a beam element model based on Midas civil and obtaining the objective function based on the objective functions of the combined bridge alignment Δ line and structural stress σ:

[0016] S533, selecting correction parameters and realizing the correction of the twin model and the monitoring and early warning of the physical entity in a nested loop manner.

[0017] In addition, to achieve the above object, an embodiment of the present application further provides a computer-readable storage medium, which includes instructions that, when running on a computer, cause the computer to execute the construction alignment control method of the corrugated steel web continuous girder bridge described in any embodiment of the present application.

[0018] In addition, to achieve the above object, an embodiment of the present application further provides a computing device, which includes: at least one processor, a memory, and an input / output unit; wherein, the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the construction alignment control method of the corrugated steel web continuous girder bridge described in any embodiment of the present application.

[0019] Beneficial effects:

[0020] A construction alignment control method for a continuous girder bridge with corrugated steel webs provided by an embodiment of the present application obtains digital twin data of the bridge alignment, establishes a digital twin model of the continuous girder bridge with corrugated steel webs, and thus assembles the digital twin model of the continuous girder bridge with corrugated steel webs; the digital twin model of the continuous girder bridge with corrugated steel webs is corrected in a nested loop manner, and the physical entity is monitored and warned, realizing accurate monitoring of the alignment and section information during the construction stage of the continuous girder bridge with corrugated steel webs. By comparing the predicted structure of the digital twin model of the continuous girder bridge with corrugated steel webs with the measured data, this method monitors and predicts the construction alignment in real time, discovers and corrects the deviations during the construction process in a timely manner, thereby improving the construction efficiency and quality. In addition, the digital twin model of the continuous girder bridge with corrugated steel webs can also discover potential construction problems, formulate optimization countermeasures for the construction process based on these problems, improve the construction efficiency, discover potential safety hazards in a timely manner, and improve the construction safety. Description of the Drawings

[0021] Figure 1 It is a flow chart of the construction alignment control method for a continuous girder bridge with corrugated steel webs provided by an embodiment of the present application;

[0022] Figure 2 It is another flow chart of the construction alignment control method for a continuous girder bridge with corrugated steel webs provided by an embodiment of the present application;

[0023] Figure 3 It is a schematic diagram of the construction operation surface of the hanging basket cantilever construction by the synchronous different-position method for a continuous girder bridge with corrugated steel webs provided by an embodiment of the present application;

[0024] Figure 4 It is an example diagram of the construction cycle of the suspended casting block section by the synchronous different-position method for a continuous girder bridge with corrugated steel webs provided by an embodiment of the present application;

[0025] Figure 5 It is an example diagram of the physical model of the rod system structure of a continuous girder bridge with corrugated steel webs provided by an embodiment of the present application;

[0026] Figure 6 It is a schematic diagram of the structure of a medium provided by an embodiment of the present application;

[0027] Figure 7 It is a schematic diagram of the structure of a computing device provided by an embodiment of the present application.

[0028] The realization, functional characteristics and advantages of the purpose of the present application will be further described with reference to the embodiments and the accompanying drawings. Detailed Embodiments

[0029] It should be understood that the specific embodiments described herein are merely for explaining the present application and not for limiting the present application. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to fully convey the scope of the present disclosure to those skilled in the art.

[0030] To solve the above technical problems, an embodiment of the present application provides a construction alignment control method for a continuous girder bridge with corrugated steel webs, as Figures 1 - 5 shown, the method may include the following steps:

[0031] S10. Obtain the twin data of the bridge alignment.

[0032] In an exemplary embodiment, the step S10 may include the following steps:

[0033] S110. Obtain the data required for the geometric model of the main girder;

[0034] S120. Obtain the physical parameters of each construction stage of the continuous girder bridge with corrugated steel webs;

[0035] S130. Continuously monitor to obtain the time variation law of the physical parameters and establish a behavior model;

[0036] S140. Set the limiting conditions for the time variation law.

[0037] In this embodiment, considering various data collection means, sampling frequencies, transmission methods, storage methods, etc., a data collection implementation plan is formulated that comprehensively considers the selection of sensing devices and collection instruments, the layout of data transmission lines, data storage and management, etc.

[0038] In an exemplary embodiment, the step S110 may include the following steps:

[0039] S1101. Select key cross-sections based on the structural characteristics of the continuous girder bridge with corrugated steel webs and the construction characteristics of the synchronous off-site method;

[0040] S1102. Arrange a number of displacement gauges at the key cross-sections to collect displacement data;

[0041] S1103. Arrange survey stations near the bridge entity, set up a three-dimensional laser scanner, and perform point cloud scanning on the bridge entity to obtain the geometric dimension information of the bridge entity.

[0042] Specifically, the geometric dimension information includes cross-sectional dimensions, main girder length, positions of control cross-sections, heights of control cross-sections, cross-sectional dimensions of corrugated steel webs, flatness of corrugated steel webs, and camber of corrugated steel webs.

[0043] Furthermore, the physical parameters include the elastic modulus of concrete, unit weight, various control parameters of internal and external prestressed tendons, elastic modulus of steel, and unit weight of steel.

[0044] S20. Based on the obtained bridge alignment twin data, establish a digital twin model of the continuous girder bridge with corrugated steel webs.

[0045] Among them, the digital twin model of the continuous girder bridge with corrugated steel webs established here is a virtual model, which includes a geometric model, a physical model, a behavior model, and a rule model. These models are interrelated and interconnected. The geometric model provides the geometric information of the structure and components of the continuous girder bridge with corrugated steel webs, providing a basis for modeling the physical model. The physical model describes the material mechanical properties and structural characteristics of the bridge based on the geometric information provided by the geometric model. The behavior model simulates the dynamic behavior and response of the continuous girder bridge with corrugated steel webs under different loads based on the physical characteristics in the physical model. The rule model formulates the design specifications and safety requirements of the bridge, and is interrelated with the behavior model to ensure the safety and reliability of the bridge.

[0046] In an exemplary embodiment, the step S20 may include the following steps:

[0047] S210. Based on the obtained bridge alignment twin data, establish a digital twin geometric model of the continuous girder bridge with corrugated steel webs;

[0048] S220. Based on the material mechanical properties, material physical properties, boundary conditions, load actions, and environmental factors of the corrugated steel webs, establish a digital twin physical model of the continuous girder bridge with corrugated steel webs;

[0049] S230. Establish a digital twin behavior model of the continuous girder bridge with corrugated steel webs;

[0050] S240. Based on the changes in the relevant specifications of bridge construction and twin control indicators, establish a digital twin rule model of the continuous girder bridge with corrugated steel webs.

[0051] S30. Assemble the digital twin model of the continuous girder bridge with corrugated steel webs.

[0052] Among them, the assembly of the digital twin model includes two parts. One is the internal assembly of each digital twin virtual model itself, and the other is the assembly of the associations between each digital virtual model.

[0053] In an exemplary embodiment, the step S30 may include the following steps:

[0054] S310. Based on the digital twin geometric model of the continuous girder bridge with corrugated steel webs, perform multiple scans to obtain the geometric information between various parts of the structural entity, and match the three-dimensional point cloud through the references between parts to obtain the overall appearance of the physical entity;

[0055] S320: Based on the digital twin physical model of the corrugated steel web continuous girder bridge, perform element division on each component, successively activate the loads and boundary conditions, and perform computational simulations for each construction stage to obtain the full-process response of mechanical information.

[0056] S330: When the collected real-time information is obtained, simultaneously update the digital twin geometric model, the digital twin physical model, the digital twin behavior model, and the digital twin rule model of the corrugated steel web continuous girder bridge, and immediately compare, analyze, and integrate the model output information, and output it to the on-site personnel.

[0057] S40: Update and verify the assembled digital twin model of the corrugated steel web continuous girder bridge.

[0058] In an exemplary embodiment, the step S40 may include the following steps:

[0059] S410: Conduct data comparison and verification;

[0060] S420: Conduct sensitivity analysis;

[0061] S430: Conduct parameter calibration;

[0062] S440: Update the digital twin model of the corrugated steel web continuous girder bridge and conduct verification again until satisfactory model accuracy and reliability are achieved.

[0063] Specifically, in step S410, verify the accuracy of the digital twin model of the corrugated steel web continuous girder bridge through the monitoring data of the actual corrugated steel web continuous girder bridge, and compare parameters such as the deflection predicted by the model with the measured data; in step S420, first evaluate the response of the model to different parameter changes, and then observe the changes in the model output by adjusting the key parameters in the model to identify the sensitivity and stability of the model; in step S430, calibrate the parameters in the digital twin model according to the results of data comparison and sensitivity analysis, for example, adjust the geometric dimensions in the geometric model, the material properties in the physical model, etc.

[0064] S50: Modify the digital twin model of the corrugated steel web continuous girder bridge based on a nested loop method, and monitor and give early warnings to the physical entity.

[0065] In an exemplary embodiment, the step S50 may include the following steps: S510: Perform multi-source heterogeneous data fusion; S520: Perform real-time data transmission; S530: Perform model update and modification.

[0066] Specifically, since the types of data to be collected in real time are diverse and inconsistent, the data needs to be classified and sorted. Specifically, the influencing factors can be classified with each twin index as the dependent variable, so as to achieve multi-source heterogeneous data fusion. In addition, in step S530, the correction of the twin model and the monitoring and early warning of physical entities are realized in a nested loop manner. This loop includes a small loop inside the virtual model and a large loop between the virtual model and the physical entity. In the small loop inside the virtual model, the initial virtual model continuously analyzes and compares the physical entity data, and improves itself through self-looping to enhance the accuracy of the virtual model. In the large loop between the virtual model and the physical entity, the physical entity provides data for the virtual model to establish and correct the virtual model.

[0067] In an exemplary embodiment, the step S520 includes the following steps: S521, establishing a database, performing automatic collection and transmission, and building a bridge monitoring management platform; S522, obtaining the design scheme of the bridge monitoring system management platform.

[0068] Specifically, in step S522, first, the overall software system framework is determined by comparison, and the B / S structure is selected. Then, it is determined to write the software program with HTML5 as the core, with Java EE as the framework, supplemented by technologies such as WebGL and Three.JS, and MySQL is selected as the database to develop the software part of the system and complete the design of the functions of the bridge monitoring system management platform.

[0069] In an exemplary embodiment, the step S530 includes the following steps: S531, constructing an objective function based on the non-linear least squares problem; S532, establishing a beam element model based on Midas civil, and based on the objective function of the combined bridge alignment Δ line and structural stress σ, obtaining the following objective function:

[0070] J(θ) = ε Δ线 T W Δ线 ε Δ线 +ε σ T W σ ε σ (2)

[0071] In the formula: J(θ) is the objective function, θ is the model parameter, σ is the structural stress, and ε σ is the residual between the calculated value and the measured value of the structural stress σ.

[0072] S533, selecting correction parameters, and realizing the correction of the twin model and the monitoring and early warning of physical entities in a nested loop manner.

[0073] Specifically, this exemplary embodiment adopts sensitivity-based finite element model updating, and takes the sum of squared residuals between the linear calculation values of the finite element model and the measured values of the structure as the objective function. By minimizing this objective function, a finite element model close to the actual structural mechanical state can be obtained. This process can be regarded as solving a numerical optimization problem, that is, the following nonlinear least squares problem:

[0074]

[0075] In the formula: J(θ) is the objective function, θ is the model parameter, and W ε is the weight factor diagonal matrix, which is used to balance the contributions of various residuals in the objective function, and ε z is the residual between the calculated value and the measured value of the modal data z.

[0076] For simplicity, here W ε is taken as the identity matrix.

[0077] A construction alignment control method for a continuous girder bridge with corrugated steel webs provided by an embodiment of the present application obtains bridge alignment twin data, establishes a digital twin model of the continuous girder bridge with corrugated steel webs, and thus assembles the digital twin model of the continuous girder bridge with corrugated steel webs; corrects the digital twin model of the continuous girder bridge with corrugated steel webs in a nested loop manner, and monitors and warns the physical entity, realizing accurate monitoring of the alignment and section information during the construction stage of the continuous girder bridge with corrugated steel webs. This method compares the predicted structure of the digital twin model of the continuous girder bridge with corrugated steel webs with the measured data, monitors and predicts the construction alignment in real time, discovers and corrects the deviations during the construction process in a timely manner, thereby improving the construction efficiency and quality. In addition, the digital twin model of the continuous girder bridge with corrugated steel webs can also discover potential construction problems, formulate optimization countermeasures for the construction process based on these problems, improve the construction efficiency, discover potential safety hazards in a timely manner, and improve the construction safety.

[0078] Based on the above embodiments, an embodiment of the present application further provides a computer-readable storage medium. Referring to Figure 6 , the shown computer-readable storage medium is an optical disc 50, on which a computer program (i.e., a program product) is stored. When the computer program is run by a processor, it will implement the steps recorded in the above method embodiments, for example, obtaining bridge alignment twin data; establishing a digital twin model of the continuous girder bridge with corrugated steel webs based on the obtained bridge alignment twin data; assembling the digital twin model of the continuous girder bridge with corrugated steel webs; updating and validating the assembled digital twin model of the continuous girder bridge with corrugated steel webs; correcting the digital twin model of the continuous girder bridge with corrugated steel webs in a nested loop manner, and monitoring and warning the physical entity. The specific implementation manners of each step will not be repeated here.

[0079] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory, or other optical and magnetic storage media, which will not be elaborated here one by one.

[0080] In addition, based on the above embodiments, the embodiments of the present application further provide a computing device. Figure 7 The block diagram of an exemplary computing device 60 suitable for implementing the embodiments of the present application is shown. The computing device 60 may be a computer system or a server. Figure 7 The shown computing device 60 is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.

[0081] As Figure 7 shown, the components of the computing device 60 may include, but are not limited to: one or more processors or processing units 601, a system memory 602, and a bus 603 connecting different system components (including the system memory 602 and the processing unit 601).

[0082] The computing device 60 typically includes various computer system-readable media. These media can be any available media accessible by the computing device 60, including volatile and non-volatile media, removable and non-removable media.

[0083] The system memory 602 may include computer system-readable media in the form of volatile memory, such as random access memory (RAM) 6021 and / or cache memory 6022. The computing device 60 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, ROM 6023 may be used to read and write non-removable, non-volatile magnetic media ( Figure 7 not shown in the figure, usually referred to as a "hard disk drive"). Although not shown in Figure 7 the figure, a disk drive for reading and writing removable non-volatile disks (such as "floppy disks") and an optical disk drive for reading and writing removable non-volatile optical disks (such as CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to the bus 603 connecting different system components through one or more data media interfaces. The system memory 602 may include at least one program product having a set of (e.g., at least one) program modules configured to perform the functions of the embodiments of the present application.

[0084] A program / utilities 6025 having a set (at least one) of program modules 6024 can be stored in, for example, the system memory 602, and such program modules 6024 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, and an implementation of a network environment may be included in each or some combination of these examples. The program modules 6024 generally execute the functions and / or methods in the embodiments described in the present application.

[0085] The computing device 60 can also communicate with one or more external devices 604 (such as a keyboard, a pointing device, a display, etc.). Such communication can be carried out through the input / output (I / O) interface 605. And, the computing device 60 can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through the network adapter 606. As Figure 7 shown, the network adapter 606 communicates with other modules (such as the processing unit 601, etc.) of the computing device 60 through the bus 603 that connects different system components. It should be understood that although Figure 7 not shown in the figure, other hardware and / or software modules can be used in combination with the computing device 60.

[0086] The processing unit 601 executes various functional applications and data processing by running the programs stored in the system memory 602. For example, it acquires the bridge alignment twin data; based on the acquired bridge alignment twin data, it establishes a digital twin model of a continuous girder bridge with corrugated steel webs; it assembles the digital twin model of the continuous girder bridge with corrugated steel webs; it updates and verifies the assembled digital twin model of the continuous girder bridge with corrugated steel webs; it corrects the digital twin model of the continuous girder bridge with corrugated steel webs in a nested loop manner, and monitors and warns the physical entity. The specific implementation manners of each step are not repeated here. It should be noted that although several units / modules or sub-units / sub-modules of the construction alignment control device of the continuous girder bridge with corrugated steel webs are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more of the above-described units / modules can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0087] In the description of the present application, it should be noted that the terms "first", "second", and "third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0088] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, devices, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0089] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some communication interfaces, and the indirect couplings or communication connections of the devices or units can be in electrical, mechanical, or other forms.

[0090] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0091] In addition, in each embodiment of the present application, the functional units can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit.

[0092] If the functions are implemented in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0093] Finally, it should be noted that the above-described embodiments are only specific implementation manners of the present application, used to illustrate the technical solutions of the present application, rather than limiting it. The protection scope of the present application is not limited thereto. Although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: any person skilled in the technical field can still modify the technical solutions described in the foregoing embodiments, or can easily conceive of changes, or perform equivalent replacements on some of the technical features; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0094] In addition, although the operations of the method of the present application are described in a specific order in the drawings, however, this does not require or imply that these operations must be performed in that specific order, or that all the operations shown must be performed to achieve the desired result. Additionally or alternatively, some steps may be omitted, multiple steps may be combined into one step for execution, and / or one step may be decomposed into multiple steps for execution.

Claims

1. A construction alignment control method for a continuous girder bridge with corrugated steel webs, characterized in that, The method includes the following steps: S10. Obtain the twin data of the bridge alignment. S20. Based on the obtained twin data of the bridge alignment, establish a digital twin model of the continuous girder bridge with corrugated steel webs. S30. Assemble the digital twin model of the continuous girder bridge with corrugated steel webs. S40. Update and verify the assembled digital twin model of the continuous girder bridge with corrugated steel webs. S50. Based on a loop-nested manner, correct the digital twin model of the continuous girder bridge with corrugated steel webs, and monitor and give early warnings to the physical entity.

2. The construction alignment control method for a continuous girder bridge with corrugated steel webs according to claim 1, characterized in that, The step S10 includes the following steps: S110. Obtain the data required for the main girder geometric model. S120. Obtain the physical parameters of each construction stage of the continuous girder bridge with corrugated steel webs. S130. Continuously monitor to obtain the time variation law of the physical parameters, and establish a behavior model. S140. Set the limiting conditions of the time variation law.

3. The construction alignment control method for a continuous girder bridge with corrugated steel webs according to claim 2, characterized in that, The step S110 includes the following steps: S1101. Based on the structural characteristics of the continuous girder bridge with corrugated steel webs and the construction characteristics of the synchronous off-site method, select key sections. S1102. Arrange a number of displacement gauges at the key sections to collect displacement data. S1103. Arrange survey stations near the bridge entity, set up a three-dimensional laser scanner, and perform point cloud scanning on the bridge entity to obtain the geometric dimension information of the bridge entity.

4. The construction alignment control method for a continuous girder bridge with corrugated steel webs according to claim 1, characterized in that The step S20 includes the following steps: S210. Based on the obtained twin data of the bridge alignment, establish a digital twin geometric model of the continuous girder bridge with corrugated steel webs. S220. Based on the material mechanical properties, material physical properties, boundary conditions, load actions and environmental factors of the corrugated steel webs, establish a digital twin physical model of the continuous girder bridge with corrugated steel webs. S230. Establish a digital twin behavior model of the continuous girder bridge with corrugated steel webs. S240. Based on the changes in the relevant bridge construction specifications and twin control indicators, establish a digital twin rule model for the continuous girder bridge with corrugated steel webs.

5. According to the method for controlling the construction alignment of the continuous girder bridge with corrugated steel webs as claimed in claim 4, the step S30 includes the following steps: S310. Based on the digital twin geometric model of the continuous girder bridge with corrugated steel webs, perform multiple scans to obtain the geometric information between various parts of the structural entity, and match the three-dimensional point cloud through the reference objects between the parts to obtain the overall appearance of the physical entity. S320. Based on the digital twin physical model of the continuous girder bridge with corrugated steel webs, perform unit division on each component, activate the loads and boundary conditions in sequence, and perform computational simulations for each construction stage respectively to obtain the full-process response of the mechanical information. S330. When the collected real-time information is obtained, simultaneously update the digital twin geometric model, the digital twin physical model, the digital twin behavior model and the digital twin rule model of the continuous girder bridge with corrugated steel webs, and immediately compare, analyze and integrate the model output information, and output it to the on-site personnel.

6. The construction alignment control method for the continuous girder bridge with corrugated steel webs according to claim 1, characterized in that, The step S40 includes the following steps: S410. Conduct data comparison and verification. S420. Conduct sensitivity analysis. S430, perform parameter calibration; S440, update the digital twin model of the corrugated steel web continuous girder bridge and verify it again until satisfactory model accuracy and reliability are achieved.

7. The construction alignment control method for the continuous girder bridge with corrugated steel webs according to claim 1, characterized in that The step S50 includes the following steps: S510, perform multi-source heterogeneous data fusion; S520, perform real-time data transmission; S530, perform model update and correction.

8. The construction linear control method for a continuous girder bridge with corrugated steel webs according to claim 7, characterized in that, The step S520 includes the following steps: S521, establish a database, perform automatic collection and transmission, and build a bridge monitoring and management platform; S522, obtain the design scheme of the bridge monitoring system management platform.

9. The construction alignment control method for a continuous girder bridge with corrugated steel webs according to claim 7, characterized in that The step S530 includes the following steps: S531, construct an objective function based on the non-linear least squares problem; S532, establish a beam element model based on Midas civil, and obtain the objective function based on the objective functions of the combined bridge alignment Δ line and structural stress σ: S533, select correction parameters, and implement the correction of the twin model and the monitoring and early warning of physical entities in a nested loop manner.

10. A computing device, characterized in that, The computing device includes: at least one processor, a memory, and an input / output unit; wherein, the memory is used to store a computer program, and the processor is used to call the computer program stored in the memory to execute the construction alignment control method of the corrugated steel web continuous girder bridge according to any one of claims 1-9.

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