Bridge ultimate bearing capacity calculation method, device, electronic equipment and storage medium

Abstract

The application provides a bridge ultimate bearing capacity calculation method, device, electronic equipment and storage medium. The method comprises the following steps: applying a load to a to-be-tested bridge, and acquiring acoustic emission data in the loading process; the load is greater than the historical maximum load borne by the current to-be-tested bridge; determining the Fick ratio of the to-be-tested bridge according to the acoustic emission data; and calculating the ultimate bearing capacity of the to-be-tested bridge according to the Fick ratio and the load. The application can effectively improve the calculation accuracy of the ultimate bearing capacity.

Description

Technical Field

[0001] This invention relates to the field of bridge engineering technology, and in particular to a method, apparatus, electronic device, and storage medium for calculating the ultimate bearing capacity of bridges. Background Technology

[0002] With the rapid development of the current social economy, people have increasingly higher requirements for safety. To ensure the safety of bridge structures, it is necessary to predict the ultimate bearing capacity of the bridge structure. For example, when an overweight special vehicle needs to cross a bridge, we need to calculate the ultimate bearing capacity of the bridge to determine whether the special vehicle can pass safely. However, we cannot conduct destructive tests on the bridge to obtain an accurate ultimate bearing capacity.

[0003] Current technologies primarily estimate ultimate bearing capacity based on design drawings. However, this estimation method assumes that both bridge materials and structures are under ideal conditions. In real-world applications, such ideal conditions do not exist. Consequently, the accuracy of ultimate bearing capacity estimation methods using existing methods is relatively low. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and storage medium for calculating the ultimate bearing capacity of bridges, in order to solve the problem of low accuracy in calculating the ultimate bearing capacity in the prior art.

[0005] In a first aspect, embodiments of the present invention provide a method for calculating the ultimate bearing capacity of a bridge, including:

[0006] A load is applied to the bridge under test, and acoustic emission data is acquired during the loading process; the load is greater than the maximum historical load currently borne by the bridge under test.

[0007] Based on the acoustic emission data, the Felicetibi of the bridge under test is determined;

[0008] The ultimate bearing capacity of the bridge under test is calculated based on the Firthite ratio and the load.

[0009] In one possible implementation, before calculating the ultimate bearing capacity of the bridge under test based on the Firthidibi and the load, the method further includes:

[0010] Obtain the Firth-Side ratio of the bridge under different loads and its corresponding load ratio;

[0011] The Feliceti ratio and its corresponding load ratio are fitted to obtain a fitting curve, and the expression of the fitting curve is determined.

[0012] Based on the expression of the fitted curve, determine the functional relationship of the ultimate bearing capacity;

[0013] The calculation of the ultimate bearing capacity of the bridge under test based on the Firth-Sitibi and the load includes:

[0014] By substituting the Felicetibi and the load into the ultimate bearing capacity function relationship, the ultimate bearing capacity of the bridge under test can be calculated.

[0015] In one possible implementation, the expression for the fitted curve is: K = A·FR 2 +B·FR+C;

[0016] Where K represents the load ratio, FR represents the Feliceti ratio, A represents the first coefficient, B represents the second coefficient, and C represents the third coefficient;

[0017] Determining the ultimate bearing capacity functional relationship based on the expression of the fitted curve includes:

[0018] Will Substituting the expression of the fitted curve, the ultimate bearing capacity function relationship is obtained; the ultimate bearing capacity function relationship is:

[0019] Among them, F cr denoted by , where F represents the ultimate bearing capacity and F represents the load applied to the bridge under test.

[0020] In one possible implementation, after calculating the ultimate bearing capacity of the bridge under test based on the Firthidibi and the load, the method further includes:

[0021] Jump to the step of "applying load to the bridge under test", apply a new load to the bridge under test again, and continue to perform subsequent steps until N ultimate bearing capacities are obtained; where N is greater than 1;

[0022] Calculate the average value of the N ultimate bearing capacities and determine it as the final ultimate bearing capacity.

[0023] In one possible implementation, determining the Friesian-Sitibi of the bridge under test based on the acoustic emission data includes:

[0024] Based on the acoustic emission data, determine the Kessel point and obtain the load corresponding to the Kessel point;

[0025] The Felicetibi of the bridge under test is determined based on the load corresponding to the Kessel point.

[0026] In one possible implementation, determining the Firthite ratio of the bridge under test based on the load corresponding to the Kessel point includes:

[0027] Calculate the quotient of the load corresponding to the Kessel point and the historical maximum load, and determine it as the Felicetibi of the bridge under test.

[0028] Secondly, embodiments of the present invention provide a calculation device for the ultimate bearing capacity of a bridge, comprising:

[0029] The acquisition module is used to apply a load to the bridge under test and acquire acoustic emission data during the loading process; the load is greater than the maximum historical load currently borne by the bridge under test.

[0030] The processing module is used to determine the Felicetibi of the bridge under test based on the acoustic emission data.

[0031] The calculation module is used to calculate the ultimate bearing capacity of the bridge under test based on the Firthibi and the load.

[0032] In one possible implementation, the processing module is further configured to obtain the Firthite ratio of the bridge under different loads and its corresponding load ratio;

[0033] The processing module is also used to fit the Feliceti ratio and its corresponding load ratio to obtain a fitting curve and determine the expression of the fitting curve.

[0034] The processing module is further configured to determine the ultimate bearing capacity functional relationship based on the expression of the fitted curve;

[0035] The calculation module is used to input the Firthite ratio and the load into the ultimate bearing capacity function relationship to calculate the ultimate bearing capacity of the bridge under test.

[0036] Thirdly, embodiments of the present invention provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method described in the first aspect or any possible implementation thereof.

[0037] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described in the first aspect or any possible implementation thereof.

[0038] This invention provides a method, apparatus, electronic device, and storage medium for calculating the ultimate bearing capacity of a bridge. The method involves applying a load to the bridge under test and acquiring acoustic emission data during the loading process. The load is greater than the historical maximum load currently borne by the bridge. Based on the acoustic emission data, the Frycetti ratio of the bridge is determined. The ultimate bearing capacity of the bridge is calculated based on the Frycetti ratio and the load, effectively improving the accuracy of the ultimate bearing capacity calculation. This calculation method relies on actual acoustic emission data during the loading process and does not depend on the ideal state of the bridge under test, thus accurately reflecting the ultimate bearing capacity and achieving higher calculation accuracy. Furthermore, since there is a corresponding relationship between the Frycetti ratio and the load ratio (the ratio of the current historical maximum load to the ultimate bearing capacity), the ultimate bearing capacity can be accurately calculated directly based on the Frycetti ratio and the currently applied load without the need for destructive load tests. Attached Figure Description

[0039] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0040] Figure 1 This is a flowchart illustrating the implementation of a method for calculating the ultimate bearing capacity of a bridge according to an embodiment of the present invention.

[0041] Figure 2 This is a flowchart illustrating the implementation of a method for calculating the ultimate bearing capacity of a bridge according to another embodiment of the present invention.

[0042] Figure 3 This is a schematic diagram of the fitting curve obtained when fitting the Friesian ratio and its corresponding load ratio according to an embodiment of the present invention;

[0043] Figure 4 This is a schematic diagram of the structure of the bridge ultimate bearing capacity calculation device provided in an embodiment of the present invention;

[0044] Figure 5 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0045] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0046] To make the objectives, technical solutions, and advantages of the present invention clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0047] Acoustic emission is the phenomenon where a material or component releases strain energy in the form of elastic waves when it deforms or cracks during loading. Acoustic emission data consists of spontaneously generated elastic wave signals during structural loading, and its characteristics inherently contain structural information. Based on acoustic emission data, this invention provides a method for calculating the ultimate bearing capacity of a bridge, using acoustic emission data of the bridge under test during loading to calculate the ultimate bearing capacity. Accordingly, before calculating the ultimate bearing capacity, at least one acoustic emission sensor needs to be installed at a preset location on the bridge under test to acquire acoustic emission data. The preset location and the number of acoustic emission sensors can be set by the user. This invention does not specifically limit this. For example, one acoustic emission sensor can be installed at each end and the arch of the bridge under test to acquire acoustic emission data.

[0048] Figure 1 The implementation flowchart of the bridge ultimate bearing capacity calculation method provided in the embodiments of the present invention is described in detail below:

[0049] Step 101: Apply a load to the bridge under test and acquire acoustic emission data during the loading process. This load is greater than the maximum historical load currently borne by the bridge under test.

[0050] For bridges already in operation and awaiting testing, their historical maximum load can be directly obtained from their database. However, for new bridges not yet in operation, a load value can be pre-applied as the historical maximum load, and then a load greater than the historical maximum load can be applied, with acoustic emission data obtained during the application of this larger load.

[0051] For example, when the historical maximum load is 10 kN, a load of 20 kN can be applied to the bridge under test. During actual loading, the load on the bridge under test starts from 0 and continues until it reaches 20 kN, and acoustic emission data is acquired during this loading process.

[0052] Step 102: Determine the Felicetibi of the bridge under test based on the acoustic emission data.

[0053] Optional, see Figure 2 Step 102 may include:

[0054] Step 1021: Determine the Kessel point based on the acoustic emission data and obtain the load corresponding to the Kessel point.

[0055] The Kaiser effect, also known as the acoustic emission data, refers to the phenomenon where, during repeated loading, little to no acoustic emission data is generated unless the applied load exceeds the previous maximum load. The point of abrupt change in acoustic emission data is called the Kaiser point. Ideally, the load corresponding to the Kaiser point is the previous maximum load. However, in practical applications, due to structural and material deviations, the load corresponding to the Kaiser point may not be the previous maximum load, and must be determined based on the actual acoustic emission data obtained.

[0056] In practical applications, the Kessel point can be determined based on acoustic emission data using methods such as the abrupt change point method, the maximum curvature determination method, the double tangent method, or the reloading method. This embodiment of the invention does not limit the specific method for determining the Kessel point.

[0057] In this embodiment of the invention, the maximum curvature determination method is used to determine the Kessel point. That is, based on the acoustic emission data obtained during the loading process, a curve showing the relationship between the cumulative amount of acoustic emission data and time is fitted, and the maximum curvature point in the curve is determined by differentiation, and this point is identified as the Kessel point.

[0058] Step 1022: Determine the Felicetibi of the bridge under test based on the load corresponding to the Kessel point.

[0059] The Felicity ratio, as a quantitative parameter, effectively reflects the severity of damage or structural defects in a bridge structure. Therefore, the ultimate bearing capacity of a bridge structure can be calculated based on the Felicity ratio.

[0060] Optionally, determining the Friesian ratio of the bridge under test based on the load corresponding to the Kessel point can include:

[0061] Calculate the quotient of the load corresponding to the Kessel point and the historical maximum load, and determine it as the Felicetibi of the bridge to be tested.

[0062] For example, if the load corresponding to the Kessel point is 19 and the historical maximum load is 20, then the Felicetibi is... It should be noted that the historical maximum load here refers to the historical maximum load that has been obtained in advance before the load is applied in step 101, not the historical maximum load that has been updated after the load is applied in step 101.

[0063] Step 103: Calculate the ultimate bearing capacity of the bridge under test based on the Firthite ratio and the load.

[0064] When a load greater than the historical maximum load is applied to the bridge under test, this load is updated accordingly to the new historical maximum load. Furthermore, the applicant discovered a corresponding relationship between the ratio of the current historical maximum load to the ultimate bearing capacity (i.e., the load ratio) and the Félicité ratio; as the load ratio increases, the Félicité ratio gradually decreases. Therefore, the ultimate bearing capacity of the bridge under test can be calculated based on the Félicité ratio and the currently applied load (the new historical maximum load).

[0065] Optionally, prior to step 103, the following steps are also included:

[0066] Step 104: Obtain the Feliceti ratio of the bridge under different loads and its corresponding load ratio.

[0067] As described above, the Felicetibi under this load can be determined by applying a load value greater than the current historical maximum load to the bridge and obtaining acoustic emission data during the loading process.

[0068] The load ratio refers to the ratio of the current historical maximum load to the ultimate bearing capacity. It can be understood that since the load applied to the bridge is greater than the historical maximum load, this load value is the current historical maximum load. Therefore, a corresponding load ratio exists under this load.

[0069] By applying different load values ​​to the bridge that are greater than the current historical maximum load multiple times, the Firthite ratio and its corresponding load ratio under each load can be obtained.

[0070] Step 105: Fit the Feliceti ratio and its corresponding load ratio to obtain the fitting curve, and determine the expression of the fitting curve.

[0071] Optional, see Figure 3 The multiple sets of Friesian ratios and their corresponding load ratios obtained in step 104 can be fitted using Matlab. The expression for the fitted curve is: K = A·FR 2 +B·FR+C.

[0072] Where K represents the load ratio, FR represents the Feliceti ratio, A represents the first coefficient, B represents the second coefficient, and C represents the third coefficient.

[0073] For example, the expression for the fitting curve provided in this embodiment of the invention is: K = -1.5825FR 2 +0.8104FR+0.8884.

[0074] The embodiments of the present invention do not impose specific limitations on the specific fitting method, and users can choose the fitting method according to their own needs.

[0075] Step 106: Determine the functional relationship of ultimate bearing capacity based on the expression of the fitted curve.

[0076] Optionally, step 106 may include:

[0077] Will Substituting the expression for the fitted curve above, we obtain the ultimate bearing capacity function relationship, which is:

[0078] Among them, F cr denoted by , where F represents the ultimate bearing capacity and F represents the load applied to the bridge under test.

[0079] The load ratio refers to the ratio of the current historical maximum load to the ultimate bearing capacity. It can be understood that since a load greater than the historical maximum load has already been applied to the bridge, the currently applied load value is the current historical maximum load.

[0080] For example, the ultimate bearing capacity function relationship provided in the embodiments of the present invention is as follows:

[0081]

[0082] Accordingly, step 103 may include:

[0083] By substituting the Firthite ratio and the load into the ultimate bearing capacity function relationship, the ultimate bearing capacity of the bridge under test can be calculated.

[0084] By substituting the Feliceti ratio calculated in step 102 and the load value applied in step 101 into the above ultimate bearing capacity function relationship, the ultimate bearing capacity of the bridge under test can be obtained.

[0085] Optionally, after step 103, the following steps are also included:

[0086] Step 107: Proceed to the "Applying Load to the Bridge Under Test" step, apply a new load to the bridge under test, and continue with the subsequent steps until N ultimate bearing capacities are obtained. N is greater than 1.

[0087] Understandably, each time a load is applied to the bridge under test, the load value is greater than the previous load value, in order to ensure that the load value applied each time is greater than the current historical maximum load.

[0088] Step 108: Calculate the average value of N ultimate bearing capacities and determine it as the final ultimate bearing capacity.

[0089] By applying load values ​​greater than the current historical maximum load to the bridge under test multiple times, multiple ultimate bearing capacities can be obtained, so that the accuracy of the final ultimate bearing capacity can be improved by calculating the average value.

[0090] To demonstrate the accuracy of the bridge ultimate bearing capacity calculation method provided in this embodiment of the invention, the ultimate bearing capacity of six different bridges was calculated. The specific calculation results are shown in Table 1, which illustrates the error between the calculated ultimate bearing capacity value obtained using the calculation method in this embodiment and the actual measured ultimate bearing capacity value:

[0091] Table 1

[0092]

[0093] As can be seen from Table 1, the calculation results of the ultimate bearing capacity obtained by using the embodiments of the present invention can be controlled within the error range of ±10%, which can effectively ensure the accuracy of the calculation of the ultimate bearing capacity.

[0094] This invention applies a load to a bridge under test and acquires acoustic emission data during the loading process. The load is greater than the maximum historical load currently borne by the bridge. Based on the acoustic emission data, the Félicit ratio of the bridge is determined. The ultimate bearing capacity of the bridge is then calculated based on the Félicit ratio and the load, effectively improving the accuracy of the ultimate bearing capacity calculation. This calculation method relies on actual acoustic emission data during the loading process and does not depend on the ideal state of the bridge, thus accurately reflecting its ultimate bearing capacity and achieving higher calculation accuracy. Furthermore, since there is a corresponding relationship between the Félicit ratio and the load ratio (the ratio of the current maximum historical load to the ultimate bearing capacity), the ultimate bearing capacity can be accurately calculated directly based on the Félicit ratio and the currently applied load without the need for destructive load tests.

[0095] Furthermore, after obtaining the ultimate bearing capacity, the embodiments of the present invention can jump back and repeat the process. By applying load values ​​larger than the current historical maximum load to the bridge under test multiple times, multiple ultimate bearing capacities can be obtained. The final ultimate bearing capacity can be determined by calculating the average value, which can further improve the accuracy of the ultimate bearing capacity calculation.

[0096] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0097] The following are device embodiments of the present invention. For details not described in detail, please refer to the corresponding method embodiments described above.

[0098] Figure 4 A schematic diagram of the bridge ultimate bearing capacity calculation device provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, and are described in detail below:

[0099] like Figure 4 The bridge ultimate bearing capacity calculation device 4 shown includes: an acquisition module 41, a processing module 42, and a calculation module 43.

[0100] The acquisition module 41 is used to apply a load to the bridge under test and acquire acoustic emission data during the loading process; the applied load value is greater than the historical maximum load currently borne by the bridge under test.

[0101] Processing module 42 is used to determine the Felicetibi of the bridge under test based on acoustic emission data.

[0102] Calculation module 43 is used to calculate the ultimate bearing capacity of the bridge under test based on the Firthite ratio and the load.

[0103] In one possible implementation, the processing module 42 is also used to obtain the Firthite ratio of the bridge under different loads and its corresponding load ratio.

[0104] The processing module 42 is also used to fit the Feliceti ratio and its corresponding load ratio to obtain a fitting curve and determine the expression of the fitting curve.

[0105] The processing module 42 is also used to determine the functional relationship of the ultimate bearing capacity based on the expression of the fitted curve.

[0106] The calculation module 42 is used to input the Firth-Siddi ratio and the load into the ultimate bearing capacity function relationship to calculate the ultimate bearing capacity of the bridge under test.

[0107] In one possible implementation, the expression for the fitted curve is: K = A·FR 2 +B·FR+C; where K represents the load ratio, FR represents the Feliceti ratio, A represents the first coefficient, B represents the second coefficient, and C represents the third coefficient.

[0108] Processing module 42 is used to process Substituting the expression for the fitted curve, we obtain the functional relationship of the ultimate bearing capacity; the functional relationship of the ultimate bearing capacity is: Among them, F cr denoted by , where F represents the ultimate bearing capacity and F represents the load applied to the bridge under test.

[0109] In one possible implementation, the calculation module 43 is used to jump to the step of "applying load to the bridge under test", apply a new load to the bridge under test, and continue to execute subsequent steps until N ultimate bearing capacities are obtained; N is greater than 1.

[0110] The calculation module 43 is also used to calculate the average value of N ultimate bearing capacities and determine it as the final ultimate bearing capacity.

[0111] In one possible implementation, the processing module 42 is used to determine the Kessel point based on the acoustic emission data and obtain the load corresponding to the Kessel point.

[0112] The processing module 42 is also used to determine the Feliceti ratio of the bridge under test based on the load corresponding to the Kessel point.

[0113] In one possible implementation, the processing module 42 is also used to calculate the quotient of the load corresponding to the Kessel point and the historical maximum load, and determine it as the Felicetibi of the bridge under test.

[0114] This invention employs an acquisition module 41 to apply a load to the bridge under test and acquire acoustic emission data during the loading process; the load is greater than the historical maximum load currently borne by the bridge under test; a processing module 42 to determine the Friesian ratio of the bridge under test based on the acoustic emission data; and a calculation module 43 to calculate the ultimate bearing capacity of the bridge under test based on the Friesian ratio and the load, effectively improving the accuracy of the ultimate bearing capacity calculation. The calculation module 43 calculates the ultimate bearing capacity based on the actual acoustic emission data during the loading process, not relying on the ideal state of the bridge under test, thus accurately reflecting the ultimate bearing capacity of the bridge under test and achieving higher calculation accuracy. Furthermore, since there is a corresponding relationship between the Friesian ratio and the load ratio (the ratio of the current historical maximum load to the ultimate bearing capacity), the calculation module 43 can directly and accurately calculate the ultimate bearing capacity based on the Friesian ratio and the currently applied load without the need for destructive load tests.

[0115] Furthermore, after calculating the ultimate bearing capacity, the calculation module 43 can jump back and repeat the execution. By applying load values ​​larger than the current historical maximum load to the bridge under test multiple times, multiple ultimate bearing capacities can be obtained. The final ultimate bearing capacity can be determined by calculating the average value, which can further improve the calculation accuracy of the ultimate bearing capacity.

[0116] Figure 5 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. For example... Figure 5 As shown, the electronic device 5 in this embodiment includes: a processor 50, a memory 51, and a computer program 52 stored in the memory 51 and executable on the processor 50. When the processor 50 executes the computer program 52, it implements the steps in the various bridge ultimate bearing capacity calculation method embodiments described above, for example... Figure 1Steps 101 to 103 are shown. Alternatively, when the processor 50 executes the computer program 52, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 4 The functions of modules 41 to 43 are shown.

[0117] For example, the computer program 52 can be divided into one or more modules / units, which are stored in the memory 51 and executed by the processor 50 to complete the present invention. The one or more modules / units can be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 52 in the electronic device 5. For example, the computer program 52 can be divided into... Figure 4 Modules 41 to 43 are shown.

[0118] The electronic device 5 may include, but is not limited to, a processor 50 and a memory 51. Those skilled in the art will understand that... Figure 5 This is merely an example of electronic device 5 and does not constitute a limitation on electronic device 5. It may include more or fewer components than shown, or combine certain components, or different components. For example, the electronic device may also include input / output devices, network access devices, buses, etc.

[0119] The processor 50 may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0120] The memory 51 can be an internal storage unit of the electronic device 5, such as a hard disk or memory. The memory 51 can also be an external storage device of the electronic device 5, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory 51 can include both internal and external storage units of the electronic device 5. The memory 51 is used to store the computer program and other programs and data required by the electronic device. The memory 51 can also be used to temporarily store data that has been output or will be output.

[0121] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0122] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0123] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0124] In the embodiments provided by this invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0125] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0126] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0127] If the integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0128] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for calculating the ultimate bearing capacity of a bridge, characterized in that, At least one acoustic emission sensor is installed at a predetermined location on the bridge to be tested. The method for calculating the ultimate bearing capacity of the bridge includes: A load is applied to the bridge under test, and acoustic emission data is acquired during the loading process; the load is greater than the maximum historical load currently borne by the bridge under test. Based on the acoustic emission data, the Felicetibi of the bridge under test is determined; The ultimate bearing capacity of the bridge under test is calculated based on the Firthite ratio and the load. Before calculating the ultimate bearing capacity of the bridge under test based on the Firthidibi and the load, the method further includes: Obtain the Firth-Side ratio of the bridge under different loads and its corresponding load ratio; The Feliceti ratio and its corresponding load ratio are fitted to obtain a fitting curve, and the expression of the fitting curve is determined. Based on the expression of the fitted curve, determine the functional relationship of the ultimate bearing capacity; The calculation of the ultimate bearing capacity of the bridge under test based on the Firth-Sitibi and the load includes: Substituting the Firthite ratio and the load into the ultimate bearing capacity function relationship, the ultimate bearing capacity of the bridge under test is calculated. The expression for the fitted curve is: ; in, Indicates the load ratio. It means Felicity, Indicates the first coefficient. Indicates the second coefficient. Indicates the third coefficient; Determining the ultimate bearing capacity functional relationship based on the expression of the fitted curve includes: Will Substituting the expression of the fitted curve, the ultimate bearing capacity function relationship is obtained; the ultimate bearing capacity function relationship is: ; in, Indicates ultimate bearing capacity. This indicates the load applied to the bridge under test.

2. The method for calculating the ultimate bearing capacity of bridges according to claim 1, characterized in that, After calculating the ultimate bearing capacity of the bridge under test based on the Firthidibi and the load, the method further includes: Jump to the step of "applying load to the bridge under test", apply a new load to the bridge under test again, and continue to perform subsequent steps until N ultimate bearing capacities are obtained; where N is greater than 1; Calculate the average value of the N ultimate bearing capacities and determine it as the final ultimate bearing capacity.

3. The method for calculating the ultimate bearing capacity of a bridge according to claim 1, characterized in that, The step of determining the Friesian-Sitibi of the bridge under test based on the acoustic emission data includes: Based on the acoustic emission data, determine the Kessel point and obtain the load corresponding to the Kessel point; The Felicetibi of the bridge under test is determined based on the load corresponding to the Kessel point.

4. The method for calculating the ultimate bearing capacity of a bridge according to claim 3, characterized in that, The determination of the Félix-Sitibi of the bridge under test based on the load corresponding to the Kessel point includes: Calculate the quotient of the load corresponding to the Kessel point and the historical maximum load, and determine it as the Felicetibi of the bridge under test.

5. A device for calculating the ultimate bearing capacity of a bridge, characterized in that, include: The acquisition module is used to apply loads to the bridge under test and acquire acoustic emission data during the loading process; The load is greater than the maximum historical load currently borne by the bridge under test; The processing module is used to determine the Felicetibi of the bridge under test based on the acoustic emission data. The calculation module is used to calculate the ultimate bearing capacity of the bridge under test based on the Firthibi and the load. The processing module is also used to obtain the Firthite ratio of the bridge under different loads and its corresponding load ratio; The processing module is also used to fit the Feliceti ratio and its corresponding load ratio to obtain a fitting curve and determine the expression of the fitting curve. The processing module is further configured to determine the ultimate bearing capacity functional relationship based on the expression of the fitted curve; The calculation module is used to substitute the Firthite ratio and the load into the ultimate bearing capacity function relationship to calculate the ultimate bearing capacity of the bridge under test. The expression for the fitted curve is: ; in, Indicates the load ratio. It means Felicity, Indicates the first coefficient. Indicates the second coefficient. Indicates the third coefficient; Determining the ultimate bearing capacity functional relationship based on the expression of the fitted curve includes: Will Substituting the expression of the fitted curve, the ultimate bearing capacity function relationship is obtained; the ultimate bearing capacity function relationship is: ; in, Indicates ultimate bearing capacity. This indicates the load applied to the bridge under test.

6. An electronic device comprising a memory and a processor, the memory for storing a computer program, the processor for calling and running the computer program stored in the memory, characterized in that, When the processor executes the computer program, it implements the steps of the method for calculating the ultimate bearing capacity of a bridge as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for calculating the ultimate bearing capacity of a bridge as described in any one of claims 1 to 4.

Images