Bridge Hanger Force Adjustment Method Based on Big Data of Arch Bridge Vehicle Loads

Abstract

The present invention provides a method for adjusting the hanger force of a bridge based on big data of vehicle loads on an arch bridge, including: obtaining dynamic response data and hanger force data of the arch bridge under vehicle loads according to pre-deployed sensors; performing load identification on the collected dynamic response data to determine load characteristics; establishing a response model of load characteristics and hanger force based on the hanger force data and corresponding load characteristics, and predicting the hanger force of the arch bridge under target loads; inputting the hanger force under target loads into the hanger force adjustment model to determine hanger force adjustment data. By implementing this method, the accuracy and efficiency of arch bridge supervision can be satisfied. At the same time, by optimizing the hanger prestress, the bearing capacity and durability of the bridge are improved, the service life of the bridge is extended, and the long-term maintenance cost is reduced, ensuring the safety of the bridge under various load conditions and reducing the risk of accidents.

Description

Technical Field

[0001] The present invention belongs to the technical field of bridge construction, and particularly relates to a method for adjusting the hanger force of a bridge based on big data of vehicle loads on arch bridges. Background Art

[0002] With the rapid development of bridge construction in China, arch bridges, as an important type of bridge structure, are widely used in urban transportation and infrastructure construction. When an arch bridge bears vehicle loads, the magnitude of its hanger force is directly related to the stability and safety of the bridge. However, traditional manual detection and empirical judgment methods have limitations in dealing with a large amount of vehicle load data and are difficult to meet the requirements of accuracy and efficiency in modern bridge engineering. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a method and device for adjusting the hanger force of a bridge based on big data of vehicle loads on arch bridges to meet the requirements of accuracy and efficiency.

[0004] To achieve the above purpose, the present invention provides the following technical solutions:

[0005] According to the first aspect, the present invention provides a method for adjusting the hanger force of a bridge based on big data of vehicle loads on arch bridges, including: obtaining dynamic response data and hanger force data of the arch bridge under vehicle loads according to pre-deployed sensors; performing load identification on the collected dynamic response data to determine load characteristics; establishing a response model between the load characteristics and the hanger force according to the hanger force data and the corresponding load characteristics, and predicting the hanger force of the arch bridge under the target load; inputting the hanger force under the target load into the hanger force adjustment model to determine the hanger force adjustment data.

[0006] Optionally, establishing a response model between the load characteristics and the hanger force according to the hanger force data and the corresponding load characteristics, and predicting the hanger force of the arch bridge under the target load includes: dividing the vehicle loads on the arch bridge into a light load area, a medium load area, and a heavy load area according to the load characteristics; within the light load area, constructing a response model between the load characteristics and the hanger force by using a linear fitting method; within the medium load area, constructing a response model between the load characteristics and the hanger force by using a quadratic fitting method; within the heavy load area, constructing a response model between the load characteristics and the hanger force by using a finite element analysis method.

[0007] Optionally, the establishment method of the response model between the load characteristics and the hanger force includes: obtaining response data of the load characteristics and the hanger force of multiple arch bridges with similar bridge sizes, spans, and service lives to the arch bridge according to big data technology; establishing a response model between the load characteristics and the hanger force according to the relationship between the load characteristics and the hanger force by using a regression statistical model.

[0008] Optionally, input the hanger force under the target load condition into the hanger force adjustment model to determine the hanger force adjustment data, including: applying the hanger force of the arch bridge under the target load condition to each corresponding hanger in the first completed bridge model, and analyzing whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. The first completed bridge model is a model established according to the actual parameters of the arch bridge; when it exceeds the maximum deformation range of the bridge, take the target load of the arch bridge as the applied load and input it into the second completed bridge model to determine the bending energy of each hanger under the load condition. In the second completed bridge model, the flexural stiffness of the arch rib and the tie beam is reduced to the target multiple; with the goal of minimizing the bending energy, change the hanger prestress to obtain the optimal hanger prestress; apply the hanger force of the arch bridge under the target load to each corresponding hanger in the third completed bridge model, and analyze whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. When it is within the maximum range, output the optimal hanger prestress. In the third completed bridge model, the flexural stiffness of the arch rib and the tie beam is restored to the actual level, and the hanger prestress is adjusted to the optimal hanger prestress.

[0009] Optionally, the process of constructing the bending energy includes: obtaining the bending moment, axial force, and shear force of the main girder cross-section, arch rib cross-section, and hanger cross-section of the arch bridge under the preset hanger force; determining the internal force of the main girder cross-section according to the bending moment, axial force, and shear force of the main girder cross-section; determining the internal force of the arch rib cross-section according to the bending moment, axial force, and shear force of the arch rib cross-section; determining the internal force of the hanger cross-section according to the bending moment, axial force, and shear force of the hanger cross-section, where the bending moment, axial force, and shear force of the hanger cross-section are determined by the hanger prestress; determining the strain energy of the main girder, the strain energy of the arch rib, and the strain energy of the hanger according to the internal force of the main girder cross-section, the internal force of the arch rib cross-section, the internal force of the hanger cross-section, the main girder cross-sectional area, the arch rib interface area, and the hanger cross-sectional area; determining the bending energy according to the strain energy of the main girder, the strain energy of the arch rib, and the strain energy of the hanger.

[0010] Optionally, determining the internal force of the hanger cross-section according to the bending moment, axial force, and shear force of the hanger cross-section includes: according to the finite element analysis method, adding the target load to each hanger of the arch bridge respectively to determine the change value of the hanger force of the target load hanger and the change value of the hanger force of other hangers affected by the target load; determining the influence degree of the load on each hanger according to the change value of the hanger force of the target load hanger and the change value of the hanger force of other hangers affected by the target load; according to the sorting result of the influence degree of each hanger, select the target number of hangers, and determine the internal force of the cross-section of the selected hangers according to the bending moment, axial force, and shear force of the cross-section of the selected hangers; with the goal of minimizing the bending energy, change the hanger prestress to obtain the optimal hanger prestress, including: changing the hanger prestress of the selected hangers to obtain the optimal hanger prestress of the selected hangers.

[0011] Optionally, the calculation formula of the bending energy is as follows:

[0012]

[0013] Among them, U1 represents the strain energy of the main girder, U2 represents the strain energy of the arch rib, U3 represents the strain energy of the suspender, E1 represents the elastic modulus of the main girder, M1 represents the bending moment of the cross-section of the main girder, N1 represents the axial force of the cross-section of the main girder, Q1 represents the shear force of the cross-section of the main girder, I1 is the flexural moment of inertia of the main girder, G1 is the shear modulus of the main girder, S1 is the cross-sectional area of the main girder, E2 represents the elastic modulus of the cross-section of the arch rib, M2 represents the bending moment of the cross-section of the arch rib, N2 represents the axial force of the cross-section of the arch rib, Q2 represents the shear force of the cross-section of the arch rib, I2 is the flexural moment of inertia of the arch rib, G2 is the shear modulus of the arch rib, S2 is the cross-sectional area of the arch rib, E3 represents the elastic modulus of the cross-section of the suspender, M ext represents the bending moment generated by the external load of the suspender, N ext represents the axial force generated by the external load of the suspender, Q ext represents the shear force generated by the external load of the suspender, I3 is the flexural moment of inertia of the suspender, G3 is the shear modulus of the suspender, S3 is the cross-sectional area of the suspender, P represents the prestress of the suspender, and e represents the distance from the prestress action point to the neutral axis of the cross-section.

[0014] According to a second aspect, the present invention provides a bridge suspender force adjustment device based on big data of vehicle loads on arch bridges, including: a data acquisition module for acquiring dynamic response data and suspender force data of the arch bridge under vehicle loads according to pre-deployed sensors; a load characteristic determination module for performing load identification on the collected dynamic response data to determine load characteristics; a prediction module for establishing a response model between the load characteristics and the suspender force according to the suspender force data and the corresponding load characteristics, and predicting the suspender force of the arch bridge under the target load condition; a suspender force adjustment module for inputting the suspender force under the target load condition into the suspender force adjustment model to determine the suspender force adjustment data.

[0015] According to a third aspect, an embodiment of the present invention provides an electronic device, the device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the steps of the method for adjusting the bridge suspender force based on big data of vehicle loads on arch bridges according to the first aspect or any implementation manner of the first aspect.

[0016] According to a fourth aspect, an embodiment of the present invention provides a computer storage medium, on which a computer instruction is stored, and when the instruction is executed by a processor, the steps of the method for adjusting the bridge suspender force based on big data of vehicle loads on arch bridges according to the first aspect or any implementation manner of the first aspect are implemented.

[0017] This embodiment provides a method for adjusting the force of bridge suspenders based on big data of vehicle loads on arch bridges. By identifying loads from dynamic response data, the load characteristics acting on the bridge can be understood more accurately, a response model between load characteristics and suspender forces can be established, and the suspender forces under specific load conditions can be predicted based on actual data. The predicted suspender forces are input into the suspender force adjustment model to optimize the prestress of the suspenders. It does not rely on manual monitoring and judgment, can meet the accuracy and efficiency requirements for the supervision of arch bridges, and at the same time improves the bearing capacity and durability of the bridge by optimizing the prestress of the suspenders, extends the service life of the bridge, and reduces long-term maintenance costs, ensuring the safety of the bridge under various load conditions and reducing the risk of accidents.

[0018] Other advantages, objectives, and features of the present invention will be described in the subsequent specification, and to some extent, they are obvious to those skilled in the art, or those skilled in the art can obtain teachings from the practice of the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the following specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to make the objectives, technical solutions, and beneficial effects of the present invention clearer, the present invention provides the following drawings for illustration:

[0020] Figure 1 It is a specific example flowchart of a method for adjusting the force of bridge suspenders based on big data of vehicle loads on arch bridges in the present invention;

[0021] Figure 2 It is a principle block diagram of a specific example of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.

[0023] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can also be the communication inside two components. It can be a wireless connection or a wired connection. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0024] In addition, the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0025] An embodiment of the present invention provides a method for adjusting the force of bridge suspenders based on big data of vehicle loads on arch bridges, as Figure 1 shown, including:

[0026] S101, obtaining the dynamic response data and suspender force data of the arch bridge under vehicle loads according to the pre-installed sensors;

[0027] S102, performing load identification on the collected dynamic response data to determine the load characteristics;

[0028] S103, establishing a response model between the load characteristics and the suspender force according to the suspender force data and the corresponding load characteristics, and predicting the suspender force of the arch bridge under the target load condition;

[0029] S104, inputting the suspender force into the suspender force adjustment model to determine the suspender force adjustment data.

[0030] Exemplarily, the method proposed in this embodiment can be applied to scenarios where the load type or load amount borne by the arch bridge changes, such as when the traffic flow increases or large vehicles pass frequently, and the suspender force is adjusted to adapt to the new load conditions. Taking this scenario as an example, the specific implementation manner of this solution is described.

[0031] Collect the dynamic response data of the bridge under vehicle loads through the target sensors pre-installed on the arch bridge with a large traffic flow. The target sensors can be, for example, accelerometers, displacement sensors, etc. The dynamic response data can include information such as the vibration, displacement, and stress of the bridge. Analyze the collected data to identify the load characteristics. The load characteristics include the size of the load, the frequency of the load action, the load distribution, etc. Specifically, first extract useful features from the pre-processed data, such as frequency, amplitude, duration, etc., to help identify the type and size of the load. Then, the load can be classified by statistical or machine learning methods, such as clustering analysis, support vector machines, neural networks, etc. to distinguish the load distribution and the frequency of the load action. The load distribution can include uniform distribution, concentrated load, etc.

[0032] Based on the collection of multiple hanger force data of the arch bridge and the corresponding load characteristic analysis, the relationship between the load characteristics and the hanger force is established as the response model of the load characteristics and the hanger force. Specifically, the response model of the load characteristics and the hanger force can be constructed by combining the principles of structural dynamics on the basis of considering factors such as the geometry, material properties, and load distribution of the bridge. For example, the finite element analysis method can be used to analyze the relationship between the load characteristics and the hanger force to form the corresponding response model. In order to save computing resources, the relationship between the collected hanger force data and the corresponding load characteristics can also be simply analyzed to determine the relationship formula between the hanger force of each hanger and the load characteristics, and the determined relationship formula between the hanger force and the load characteristics is used as the response model of the load characteristics and the hanger force.

[0033] This response model can predict the hanger force of the arch bridge under any load condition. For example, when an arch bridge is expected to be an important transportation hub at a certain important time node and the target traffic flow will increase, the predicted load characteristics during this time node can be used as the input, and the response model of the load characteristics and the hanger force can predict the required hanger force under the predicted load characteristics.

[0034] The above steps determine the level to which the hanger force of the arch bridge should be adjusted, but it is still necessary to further judge whether the hanger force meets the safety requirements to ensure that the bridge will not exceed the design stress and deformation limits under the expected load, thereby avoiding structural damage or failure. Therefore, in this embodiment, the hanger force also needs to be input into the hanger force adjustment model to determine the hanger force adjustment data. The hanger force adjustment model takes into account the material properties of the hanger, the structural characteristics of the bridge, environmental factors (such as temperature changes, wind force, etc.), and possible maintenance or repair requirements, etc. The way for the hanger force adjustment model to determine the hanger force adjustment data can be based on the finite element analysis of the digital twin model of the arch bridge to analyze whether the hanger force determined through S103 causes potential safety hazards to the bridge. Specifically, it can be determined whether the mid-span displacement of the bridge girder of the bridge with this hanger force is within the maximum deformation range of the bridge. If it is, the hanger force determined by the above S103 is used as the hanger force adjustment data. If it exceeds this range, secondary adjustment is carried out.

[0035] This embodiment provides a method for adjusting the hanger force of a bridge based on big data of vehicle loads on an arch bridge. By identifying the load through dynamic response data, the load characteristics acting on the bridge can be understood more accurately, a response model of the load characteristics and the hanger force can be established, and the hanger force under specific load conditions can be predicted based on actual data. The predicted hanger force is input into the hanger force adjustment model to optimize the prestress of the hanger, thereby improving the bearing capacity and durability of the bridge, extending the service life of the bridge, reducing the long-term maintenance cost, ensuring the safety of the bridge under various load conditions, and reducing the risk of accidents.

[0036] As an alternative implementation, according to the hanger force data and the corresponding load characteristics, a response model of load characteristics and hanger force is established to predict the hanger force of the arch bridge under the target vehicle load, including: dividing the vehicle load of the arch bridge into a light load area, a medium load area, and a heavy load area according to the load characteristics; in the light load area, a linear fitting method is used to construct the response model of load characteristics and hanger force; in the medium load area, a quadratic fitting method is used to construct the response model of load characteristics and hanger force; in the heavy load area, a finite element analysis method is used to construct the response model of load characteristics and hanger force.

[0037] Exemplarily, in the light load area, the vehicle load is relatively small and has a relatively small impact on the bridge structure. In this case, the present embodiment uses a linear fitting method to construct the response model of load characteristics and hanger force. Linear fitting is simple and intuitive, with a small amount of calculation, and is suitable for situations where the load change range is not large and the relationship between the load and the hanger force is relatively linear. The construction of the model is usually based on a large amount of historical data, and the linear relationship between the load and the hanger force is determined by the least squares method or other linear regression methods.

[0038] The load in the medium load area is between the light load and the heavy load, and the relationship between the load and the hanger force is more complex, and the linear model cannot accurately describe this relationship. Therefore, the present embodiment uses a quadratic fitting method to construct the model. The quadratic fitting model can better capture the non-linear relationship between the load and the hanger force, and fits the data through a quadratic polynomial equation, so as to provide more accurate predictions. The parameters of the model are usually determined by the least squares method or other optimization algorithms, which are not limited in this embodiment.

[0039] In the heavy load area, the vehicle load is large and has a significant impact on the bridge structure. Therefore, a more accurate analysis method is needed to predict the hanger force. As a powerful numerical analysis tool, finite element analysis can simulate the behavior of complex structures under various load conditions. By discretizing the bridge structure into multiple small elements, finite element analysis can calculate parameters such as stress, strain, and displacement of each element under specific loads, and then predict the hanger force. Using the finite element analysis method can take into account the complex geometric shape, material properties, and boundary conditions of the structure, and provide highly accurate response results.

[0040] The method for adjusting the hanger force of a bridge based on the big data of the vehicle load of an arch bridge provided by this embodiment can divide the vehicle load of the arch bridge into a light load, a medium load, and a heavy load area, and adopt different modeling methods for different areas, so as to achieve fine prediction and management of the hanger force, and reduce the amount of data processing on the basis of ensuring the accuracy of the response model.

[0041] As an alternative implementation, for the pre-established response model of load characteristics and hanger force, the establishment method includes:

[0042] According to big data technology, obtain the response data of the load characteristics and hanger forces of multiple arch bridges with similar bridge sizes, spans, and service life; adopt a regression statistical model to establish a response model of the load characteristics and hanger forces based on the relationship between the load characteristics and the hanger forces.

[0043] Exemplarily, in this embodiment, in order to increase the data on the relationship between the load characteristics and the hanger forces, big data technology is used to obtain the response data of the load characteristics and hanger forces of multiple arch bridges with similar bridge sizes, spans, and service life. A regression statistical model is adopted to establish a response model of the load characteristics and hanger forces based on the relationship between the load characteristics and the hanger forces. The regression model can be linear regression, ridge regression, LASSO regression, or support vector regression (SVR), etc.

[0044] The method for adjusting the hanger forces of a bridge based on big data of vehicle loads on an arch bridge provided in this embodiment can obtain more response data of the load characteristics and hanger forces of multiple similar arch bridges through big data, which is beneficial to improving the accuracy of the response model of the load characteristics and hanger forces.

[0045] As an alternative implementation, input the hanger forces of the arch bridge under vehicle loads into the hanger force adjustment model to determine the hanger force adjustment data, including:

[0046] Apply the hanger forces of the arch bridge under the target load to the corresponding hangers in the first completed bridge model, and analyze whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. The first completed bridge model is established based on the actual parameters of the arch bridge;

[0047] When it exceeds the maximum deformation range of the bridge, take the target load of the arch bridge as the applied load and input it into the second completed bridge model to determine the bending energy of each hanger under the load condition. In the second completed bridge model, the flexural stiffness of the arch rib and the tie beam is reduced to the target multiple;

[0048] Taking the minimum bending energy as the goal, change the hanger prestress to obtain the optimal hanger prestress;

[0049] Apply the hanger forces of the arch bridge under the target load to the corresponding hangers in the third completed bridge model, and analyze whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. When it is within the maximum range, output the optimal hanger prestress. In the third completed bridge model, the flexural stiffness of the arch rib and the tie beam is restored to the actual level, and the hanger prestress is adjusted to the optimal hanger prestress.

[0050] Exemplarily, the first completed bridge model is a model established based on the actual parameters of the arch bridge. The actual parameters of the arch bridge may include the dimensions of the bridge, the material properties of each part of the bridge, structural details, loads, and environmental conditions, etc. The dimensions may include the type of arch axis (such as circular arc, parabola, catenary, etc.), the arch span length, the arch height, the rise-span ratio, the cross-sectional dimensions and shapes of the arch ribs, the width, thickness, and cross-sectional shape of the tie beam (bridge deck), the layout, quantity, and length of the suspenders. The material properties may include the material types of the arch ribs, tie beams, and suspenders (such as steel, concrete, etc.), the elastic modulus, yield strength, tensile strength, and density of the materials, the durability and aging characteristics of the materials. The structural details may include the types and layouts of the connectors, such as bolts, welds, anchoring systems, etc., the types of bearings (such as fixed bearings, sliding bearings, rubber bearings, etc.), and the design parameters of the arch feet and abutments.

[0051] Apply the suspender forces of the arch bridge under the target load to the corresponding suspenders in the first completed bridge model. If the mid-span displacement of the tie beam exceeds the maximum deformation range, it indicates that the current distribution of suspender forces is unreasonable. Input the target load as the applied load into the second completed bridge model, and at the same time, reduce the flexural stiffness of the arch ribs and tie beams to the target multiple in the second completed bridge model. When performing structural analysis, by first reducing the stiffness, the changes in the structure under the action of prestress can be observed more intuitively, and then by restoring the stiffness, the rationality of the analysis results can be verified. And by reducing the flexural stiffness, the performance of the bridge under the most unfavorable conditions can be simulated to ensure that the bridge can still meet the safety requirements even when the stiffness is reduced.

[0052] As an alternative implementation, the bending energy construction process includes: obtaining the bending moments, axial forces, and shear forces of the main girder cross-section, arch rib cross-section, and suspender cross-section of the arch bridge under the preset suspender forces; determining the internal forces of the main girder cross-section based on the bending moment, axial force, and shear force of the main girder cross-section; determining the internal forces of the arch rib cross-section based on the bending moment, axial force, and shear force of the arch rib cross-section; determining the internal forces of the suspender cross-section based on the bending moment, axial force, and shear force of the suspender cross-section, where the bending moment, axial force, and shear force of the suspender cross-section are determined by the prestress of the suspenders; determining the strain energy of the main girder, the strain energy of the arch ribs, and the strain energy of the suspenders based on the internal forces of the main girder cross-section, the internal forces of the arch rib cross-section, the internal forces of the suspender cross-section, the cross-sectional area of the main girder, the cross-sectional area of the arch ribs, and the cross-sectional area of the suspenders; determining the bending energy based on the strain energy of the main girder, the strain energy of the arch ribs, and the strain energy of the suspenders.

[0053] The specific calculation formula is as follows:

[0054]

[0055] Among them, U1 represents the strain energy of the main girder, U2 represents the strain energy of the arch rib, U3 represents the strain energy of the suspender, E1 represents the elastic modulus of the main girder, M1 represents the bending moment of the cross-section of the main girder, N1 represents the axial force of the cross-section of the main girder, Q1 represents the shear force of the cross-section of the main girder, I1 is the flexural moment of inertia of the main girder, G1 is the shear modulus of the main girder, S1 is the cross-sectional area of the main girder, E2 represents the elastic modulus of the cross-section of the arch rib, M2 represents the bending moment of the cross-section of the arch rib, N2 represents the axial force of the cross-section of the arch rib, Q2 represents the shear force of the cross-section of the arch rib, I2 is the flexural moment of inertia of the arch rib, G2 is the shear modulus of the arch rib, S2 is the cross-sectional area of the arch rib, E3 represents the elastic modulus of the cross-section of the suspender, M ext represents the bending moment generated by the external load of the suspender, N ext represents the axial force generated by the external load of the suspender, Q ext represents the shear force generated by the external load of the suspender, I3 is the flexural moment of inertia of the suspender, G3 is the shear modulus of the suspender, S3 is the cross-sectional area of the suspender, P represents the prestress of the suspender, and e represents the distance from the prestress action point to the neutral axis of the cross-section.

[0056] Bending energy is the energy stored when the structure deforms under external loads. Minimizing the bending energy means minimizing the deformation and stress concentration of the structure as much as possible while meeting the functional requirements, thereby improving the durability and reliability of the structure. In this embodiment, by minimizing the bending energy and changing the prestress of the suspenders, the optimal prestress of the suspenders is obtained.

[0057] As an alternative implementation, determining the internal force of the suspender cross-section according to the bending moment, axial force, and shear force of the suspender cross-section includes: according to the finite element analysis method, adding a target load to each suspender of the arch bridge respectively, determining the change value of the suspender force of the target load suspender and the change value of the suspender force of other suspenders affected by the target load; determining the influence degree of the load on each suspender according to the change value of the suspender force of the target load suspender and the change value of the suspender force of other suspenders affected by the target load; according to the sorting result of the influence degree of each suspender, selecting a target number of suspenders, and determining the internal force of the cross-section of the selected suspenders according to the bending moment, axial force, and shear force of the cross-section of the selected suspenders; aiming at minimizing the bending energy, changing the prestress of the suspenders to obtain the optimal prestress of the suspenders, including: changing the suspender prestress of the selected suspenders to obtain the optimal prestress of the selected suspenders.

[0058] Exemplarily, in the finite element model, target loads are applied to each suspender of the arch bridge, and these loads represent the expected maximum loads, such as vehicle weight, wind load, or other external factors that may affect the bridge structure. Through finite element analysis, the changes in the internal forces (such as tension or compression) of the suspenders under the target loads are calculated, including the direct response of the target load suspenders and the indirect response of other suspenders due to structural interaction. According to the direct response of the target load suspenders and the indirect response of other suspenders due to structural interaction, the influence degree of the load on each suspender is determined. Specifically, it can be:

[0059]

[0060] where C i represents the influence degree of suspender i, I ii represents the change value of the suspender force of suspender i when the target load is applied to suspender i, I ij represents the change value of the suspender force of suspender j when the target load is applied to suspender i, and N represents the total number of suspenders.

[0061] The influence degree can be relative as described above, representing the relative magnitude of the force change of each suspender, or it can be absolute, representing the absolute value of the force change of the suspender. According to the sorting result of the influence degree, a certain number of suspenders with a relatively large influence degree are selected for bending energy calculation, so as to determine the optimal prestress of the selected suspenders.

[0062] For the bridge suspender force adjustment method based on the big data of arch bridge vehicle loads provided in this embodiment, since the magnitude of the influence degree characterizes the role of the suspender on the bridge, by pre-selecting several suspenders with a large influence degree to calculate the bending energy, the calculation amount of the suspenders is reduced, and the calculation efficiency of the bending energy is improved.

[0063] This embodiment provides a bridge suspender force adjustment device based on the big data of arch bridge vehicle loads, including:

[0064] A data acquisition module, configured to acquire the dynamic response data and suspender force data of the arch bridge under vehicle loads according to the pre-deployed sensors; for specific reference, see the corresponding steps of the method embodiment, which will not be elaborated here.

[0065] A load characteristic determination module, configured to perform load identification on the collected dynamic response data to determine the load characteristics; for specific reference, see the corresponding steps of the method embodiment, which will not be elaborated here.

[0066] A prediction module, configured to establish a response model between the load characteristics and the suspender force according to the suspender force data and the corresponding load characteristics, and predict the suspender force of the arch bridge under the target load; for specific reference, see the corresponding steps of the method embodiment, which will not be elaborated here.

[0067] The hanger force adjustment module is used to input the hanger force under the target load condition into the hanger force adjustment model to determine the hanger force adjustment data. For the specific steps, please refer to the corresponding steps in the method embodiment, which will not be elaborated here.

[0068] An embodiment of the present application also provides an electronic device, such as Figure 2 shown, a processor 501 and a memory 502, where the processor 501 and the memory 502 can be connected through a bus or other means.

[0069] The processor 501 can be a central processing unit (CPU). The processor 501 can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. chips, or combinations of the above types of chips.

[0070] The memory 502, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the method for adjusting the hanger force of a bridge based on big data of vehicle loads on an arch bridge in the embodiments of the present invention. The processor executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory.

[0071] The memory 502 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created by the processor, etc. In addition, the memory can include high-speed random access memory, and can also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 502 can optionally include a memory remotely set relative to the processor, and these remote memories can be connected to the processor through a network. Examples of the above networks include, but are not limited to, the Internet, enterprise intranets, local area networks, mobile communication networks, and combinations thereof.

[0072] The one or more modules are stored in the memory 502 and, when executed by the processor 501, execute the method for adjusting the hanger force of a bridge based on big data of vehicle loads on an arch bridge in the Figure 1 shown embodiment.

[0073] For the specific details of the above electronic device, please refer toFigure 2 For the corresponding related descriptions and effects in the illustrated embodiments, understanding can be obtained, and details will not be elaborated here.

[0074] This embodiment also provides a computer storage medium, which stores computer-executable instructions that can execute the method for adjusting the hanger force of a bridge based on big data of arch bridge vehicle loads in any of the above method embodiments. Among them, the storage medium can be a magnetic disk, an optical disc, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (abbreviation: HDD), or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above types of memories.

[0075] Finally, it should be noted that the above preferred embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail through the above preferred embodiments, those skilled in the art should understand that various changes can be made in form and details without departing from the scope defined by the claims of the present invention.

Claims

1. A bridge suspender force adjustment method based on arch bridge vehicle load big data, characterized in that: include: The dynamic response data of the arch bridge under vehicle load and the hanger force data are obtained based on the pre-deployed sensors; Carry out load identification on the collected dynamic response data and determine the load characteristics; According to the hanger force data and the corresponding load characteristics, a response model of load characteristics and hanger force is established to predict the hanger force of the arch bridge under the target load condition; Inputting the boom force under the target load condition into the boom force adjustment model to determine the boom force adjustment data; The boom force under the target load condition is input into the boom force adjustment model to determine the boom force adjustment data, including: Apply the hanger force of the arch bridge under the target load to the corresponding hangers in the first completed bridge model to analyze whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. The first completed bridge model is a model established according to the actual parameters of the arch bridge. When the maximum deformation range of the bridge is exceeded, the target load of the arch bridge is used as the applied load and input into the second completed bridge model to determine the bending energy of each hanger under the load condition. The bending stiffness of the arch rib and tie beam in the second completed bridge model is reduced to the target multiple. Taking the minimum bending energy as the goal, the prestress of the hanger rod is changed to obtain the optimal prestress of the hanger rod; The hanger force of the arch bridge under the target load is applied to the corresponding hangers in the third completed bridge model, and it is analyzed whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. When it is within the maximum range, the optimal prestress of the hanger is output, and the bending stiffness of the arch rib and tie beam in the third completed bridge model is restored to the actual level, and the hanger prestress is adjusted to the optimal prestress of the hanger.

2. The bridge suspender force adjustment method based on arch bridge vehicle load big data according to claim 1 is characterized in that: According to the hanger force data and the corresponding load characteristics, a response model of load characteristics and hanger force is established to predict the hanger force of the arch bridge under the target load condition, including: According to the load characteristics, the vehicle load of the arch bridge is divided into light load area, medium load area and heavy load area; In the light load area, a linear fitting method is used to construct the response model of load characteristics and hanger force; In the medium load region, the response model of load characteristics and hanger force is constructed by quadratic fitting method; In the heavy load area, the finite element analysis method is used to construct the response model of load characteristics and hanger force.

3. The bridge suspender force adjustment method based on arch bridge vehicle load big data according to claim 1 is characterized in that: The response model of load characteristics and hanger force is established in the following ways: Based on big data technology, multiple arch bridge load characteristics and suspender force response data similar to the arch bridge size, span and service life are obtained; The response model of load characteristics and hanger force is established based on the relationship between load characteristics and hanger force by using regression statistical model.

4. The bridge suspender force adjustment method based on arch bridge vehicle load big data according to claim 1 is characterized in that: Bending energy construction process, including: Obtain the bending moment, axial force and shear force of the arch bridge main beam section, arch rib section and hanger section under the preset hanger force; Determine the internal force of the main beam section according to the bending moment, axial force and shear force of the main beam section; Determine the internal force of the arch rib section according to the bending moment, axial force and shear force of the arch rib section; Determine the internal force of the truncated surface of the suspender rod according to the bending moment, axial force and shear force of the truncated surface of the suspender rod, wherein the bending moment, axial force and shear force of the truncated surface of the suspender rod are determined by the prestress of the suspender rod; Determine the strain energy of the main beam, the strain energy of the arch rib and the strain energy of the hanger rod according to the internal force of the main beam section, the internal force of the arch rib section, the internal force of the hanger rod section, the cross-sectional area of ​​the main beam, the interface area of ​​the arch rib and the cross-sectional area of ​​the hanger rod; The bending energy is determined based on the strain energy of the main beam, the strain energy of the arch rib and the strain energy of the hanger.

5. The bridge suspender force adjustment method based on arch bridge vehicle load big data according to claim 4 is characterized in that: The internal forces of the suspender section are determined based on the bending moment, axial force and shear force of the suspender section, including: According to the finite element analysis method, the target load is added to each suspender of the arch bridge, and the change value of the suspender force of the target load suspender and the change value of the suspender force of other suspenders caused by the target load are determined; Determine the influence of the load on each boom according to the boom force change value of the target load boom and the boom force change values ​​of other booms caused by the target load; According to the ranking results of the influence of each suspender, a target number of suspenders are selected, and the internal force of the selected suspender section is determined according to the bending moment, axial force and shear force of the selected suspender section; With the goal of minimizing bending energy, the prestress of the hanger is changed to obtain the optimal prestress of the hanger, including: The prestress of the selected hanger is changed to obtain the optimal prestress of the selected hanger.

6. The bridge suspender force adjustment method based on arch bridge vehicle load big data according to claim 4 is characterized in that: The calculation formula of bending energy is as follows: Among them, U1 represents the strain energy of the main beam, U2 represents the strain energy of the arch rib, U3 represents the strain energy of the hanger, E1 represents the elastic modulus of the main beam, M1 represents the bending moment of the main beam section, N1 represents the axial force of the main beam section, Q1 represents the shear force of the main beam section, I1 represents the bending moment of the main beam, G1 represents the shear modulus of the main beam, S1 represents the cross-sectional area of ​​the main beam, E2 represents the elastic modulus of the arch rib section, M2 represents the bending moment of the arch rib section, N2 represents the axial force of the arch rib section, Q2 represents the shear force of the arch rib section, I2 represents the bending moment of the arch rib, G2 represents the shear modulus of the arch rib, S2 represents the cross-sectional area of ​​the arch rib, E3 represents the elastic modulus of the hanger section, M ext Indicates the bending moment caused by the external load of the hanger, N ext represents the axial force generated by the external load of the hanger, Q ext It represents the shear force generated by the external load of the hanger, I3 is the bending moment of inertia of the hanger, G3 is the shear modulus of the hanger, S3 is the cross-sectional area of ​​the hanger, P represents the prestress of the hanger, and e represents the distance from the prestressing point to the neutral axis of the section.

7. A bridge suspender force adjustment device based on arch bridge vehicle load big data, characterized in that: include: A data acquisition module, used to acquire dynamic response data of the arch bridge under vehicle load and suspension rod force data according to pre-deployed sensors; A load characteristic determination module is used to perform load identification on the collected dynamic response data and determine the load characteristics; A prediction module is used to establish a response model of load characteristics and hanger force based on the hanger force data and the corresponding load characteristics, and predict the hanger force of the arch bridge under the target load condition; A boom force adjustment module, used for inputting the boom force under the target load condition into the boom force adjustment model to determine the boom force adjustment data; The boom force adjustment module performs the following steps: Apply the hanger force of the arch bridge under the target load to the corresponding hangers in the first completed bridge model to analyze whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. The first completed bridge model is a model established according to the actual parameters of the arch bridge. When the maximum deformation range of the bridge is exceeded, the target load of the arch bridge is used as the applied load and input into the second completed bridge model to determine the bending energy of each hanger under the load condition. The bending stiffness of the arch rib and tie beam in the second completed bridge model is reduced to the target multiple. Taking the minimum bending energy as the goal, the prestress of the hanger rod is changed to obtain the optimal prestress of the hanger rod; The hanger force of the arch bridge under the target load is applied to the corresponding hangers in the third completed bridge model, and it is analyzed whether the mid-span displacement of the tie beam is within the maximum deformation range of the bridge. When it is within the maximum range, the optimal prestress of the hanger is output, and the bending stiffness of the arch rib and tie beam in the third completed bridge model is restored to the actual level, and the hanger prestress is adjusted to the optimal prestress of the hanger.

8. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the steps of the bridge hanger force adjustment method based on arch bridge vehicle load big data as described in any one of claims 1-6.

9. A computer storage medium having computer instructions stored thereon, characterized in that: When the instruction is executed by the processor, the steps of the bridge hanger force adjustment method based on arch bridge vehicle load big data as described in any one of claims 1-6 are implemented.

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