CN115905772A - Bridge ultimate bearing capacity calculation method and device, electronic equipment and storage medium - Google Patents
Bridge ultimate bearing capacity calculation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention provides a method and a device for calculating the ultimate bearing capacity of a bridge, electronic equipment and a storage medium. The method comprises the following steps: applying load to the bridge to be tested, and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load borne by the current bridge to be tested; determining the labor-wasting west-pedicle ratio of the bridge to be detected according to the acoustic emission data; and calculating to obtain the ultimate bearing capacity of the bridge to be measured according to the laborious Betty ratio and the load. The invention can effectively improve the calculation accuracy of the ultimate bearing capacity.
Description
Technical Field
The invention relates to the technical field of bridge engineering, in particular to a method and a device for calculating the ultimate bearing capacity of a bridge, electronic equipment and a storage medium.
Background
With the rapid development of current socioeconomic, people have higher and higher requirements on safety. In order to ensure the safety of the bridge structure, the ultimate bearing capacity of the bridge structure needs to be predicted. For example, when an overweight special vehicle needs to pass through a bridge, the limit bearing capacity of the bridge needs to be calculated to judge whether the special vehicle can pass through the bridge safely, but destructive tests cannot be carried out on the bridge to obtain accurate limit bearing capacity.
In the prior art, the ultimate bearing capacity is estimated mainly according to a design drawing, but the estimation mode is based on the ideal state of bridge materials and bridge structures. In practice, this ideal state does not exist. Therefore, the accuracy of the ultimate bearing capacity obtained by the conventional ultimate bearing capacity estimation method is low.
Disclosure of Invention
The embodiment of the invention provides a method and a device for calculating the ultimate bearing capacity of a bridge, electronic equipment and a storage medium, and aims to solve the problem that the accuracy of calculating the ultimate bearing capacity is low in the prior art.
In a first aspect, an embodiment of the present invention provides a method for calculating a bridge ultimate bearing capacity, including:
applying a load to the bridge to be tested, and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load borne by the current bridge to be tested;
determining the labor-consuming West-to-pedestal ratio of the bridge to be detected according to the acoustic emission data;
and calculating to obtain the ultimate bearing capacity of the bridge to be measured according to the labor-wasting-western-base ratio and the load.
In a possible implementation manner, before the calculating the ultimate bearing capacity of the bridge to be tested according to the laborious siemens ratio and the load, the method further includes:
acquiring a labor-consuming Xidi ratio of the bridge under different loads and a corresponding load ratio of the bridge;
fitting the labor-wasting siemens ratio and the corresponding load ratio to obtain a fitting curve, and determining an expression of the fitting curve;
determining a function relation of the ultimate bearing capacity according to the expression of the fitting curve;
calculating to obtain the ultimate bearing capacity of the bridge to be tested according to the arduous west pedicle ratio and the load, wherein the method comprises the following steps:
and bringing the labor-wasting Betty ratio and the load into a function relation of a limit bearing capacity, and calculating to obtain the limit bearing capacity of the bridge to be measured.
In one possible implementation, the expression of the fitted curve is: k = A.FR 2 +B·FR+C；
Wherein K represents a load ratio, FR represents a labourious Buttery ratio, A represents a first coefficient, B represents a second coefficient, and C represents a third coefficient;
determining a functional relation of the ultimate bearing capacity according to the expression of the fitting curve, wherein the functional relation comprises the following steps:
will be provided with
Substituting an expression of the fitting curve to obtain the ultimate bearing capacity functional relation; the ultimate bearing capacity function relationship is as follows: />
Wherein, F cr And F represents the load applied to the bridge to be tested.
In a possible implementation manner, after obtaining the ultimate bearing capacity of the bridge to be tested by calculating according to the laborious sitter ratio and the load, the method further includes:
jumping to the step of applying load to the bridge to be tested, applying new load to the bridge to be tested again, and continuing to execute the subsequent steps until N limit bearing capacities are obtained; the N is greater than 1;
and calculating the average value of the N ultimate bearing capacities, and determining the average value as the final ultimate bearing capacity.
In a possible implementation manner, the determining a laborious siemens ratio of the bridge to be measured according to the acoustic emission data includes:
determining a Kessel point according to the acoustic emission data, and acquiring a load corresponding to the Kessel point;
and determining the labor-wasting sitter ratio of the bridge to be detected according to the load corresponding to the Kaiser point.
In a possible implementation manner, the determining a laborious sitter ratio of the bridge to be measured according to the load corresponding to the kessel point includes:
and calculating the quotient of the load corresponding to the Kaiser point and the historical maximum load, and determining the quotient as the laborious Betty ratio of the bridge to be detected.
In a second aspect, an embodiment of the present invention provides a device for calculating a limit bearing capacity of a bridge, including:
the acquisition module is used for applying load to the bridge to be tested and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load borne by the current bridge to be tested;
the processing module is used for determining the labor-wasting siemens ratio of the bridge to be detected according to the acoustic emission data;
and the calculation module is used for calculating the ultimate bearing capacity of the bridge to be measured according to the labor-wasting west-pedicle ratio and the load.
In a possible implementation manner, the processing module is further configured to obtain a laborious siemens ratio and a corresponding load ratio of the bridge under different loads;
the processing module is further used for fitting the labor-wasting clitoral ratio and the corresponding load ratio to obtain a fitting curve and determining an expression of the fitting curve;
the processing module is further used for determining a limit bearing capacity functional relation according to the expression of the fitting curve;
and the calculation module is used for bringing the labor-wasting Betty ratio and the load into a function relation of a limit bearing capacity, and calculating to obtain the limit bearing capacity of the bridge to be measured.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect or any possible implementation manner of the first aspect when executing the computer program.
In a fourth aspect, the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the computer program implements the steps of the method according to the first aspect or any one of the possible implementation manners of the first aspect.
The embodiment of the invention provides a method and a device for calculating the ultimate bearing capacity of a bridge, electronic equipment and a storage medium, wherein the method comprises the steps of applying a load to the bridge to be measured and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load born by the current bridge to be tested; determining the labor-wasting west-pedicle ratio of the bridge to be detected according to the acoustic emission data; according to the labor-consuming Betty ratio and the load, the ultimate bearing capacity of the bridge to be measured is obtained through calculation, and the calculation accuracy of the ultimate bearing capacity can be effectively improved. The calculation method is based on actual acoustic emission data in the loading process, does not depend on the ideal state of the bridge to be measured, can truly reflect the ultimate bearing capacity of the bridge to be measured, and is higher in calculation accuracy. In addition, because the corresponding change relationship exists between the labor-wasting clitoral ratio and the load ratio (the ratio of the current historical maximum load to the current ultimate bearing capacity), the ultimate bearing capacity can be accurately calculated directly according to the labor-wasting clitoral ratio and the current applied load, and a destructive load test is not required to be implemented.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart illustrating an implementation of a method for calculating a limit bearing capacity of a bridge according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an implementation of a method for calculating a limit bearing capacity of a bridge according to another embodiment of the present invention;
FIG. 3 is a schematic view of a fitting curve obtained when a laborious Betty ratio and a corresponding load ratio are fitted, according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a bridge ultimate bearing capacity calculation device provided by an embodiment of the invention;
fig. 5 is a schematic diagram of an electronic device provided in an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
The phenomenon of strain energy release in the form of elastic waves, known as acoustic emission, occurs when a material or component deforms or cracks during loading. The acoustic emission data is an elastic wave signal which is spontaneously generated in the structure loading process and is characterized by self-contained structure information. Based on acoustic emission data, the embodiment of the invention provides a method for calculating the ultimate bearing capacity of a bridge, which is used for calculating the ultimate bearing capacity of the bridge to be measured according to the acoustic emission data of the bridge to be measured in the loading process. Correspondingly, before calculating the ultimate bearing capacity, at least one acoustic emission sensor needs to be arranged at a preset position of the bridge to be measured, and the acoustic emission sensor is used for acquiring acoustic emission data. The preset positions and the number of the acoustic emission sensors can be set by the user. The embodiment of the present invention is not particularly limited thereto. For example, two acoustic emission sensors may be respectively disposed at two ends and at an arch top of the bridge to be measured, and used for acquiring acoustic emission data.
Fig. 1 is a flowchart of an implementation of the method for calculating a bridge ultimate bearing capacity according to the embodiment of the present invention, which is detailed as follows:
For the bridge to be tested in transit, the historical maximum load can be directly obtained from the database equipped with the bridge to be tested. However, for a new bridge which is not put into operation, a load value can be applied to the new bridge in advance to serve as a historical maximum load, then a load larger than the historical maximum load value is applied to the new bridge, and acoustic emission data in the process of applying the load larger than the historical maximum load value are obtained.
For example, when the historical maximum load is 10KN, a load of 20KN can be applied to the bridge to be tested. And during actual loading, loading the bridge to be tested from 0 to 20KN, and acquiring acoustic emission data in the loading process.
And step 102, determining the labor-wasting west-pedicle ratio of the bridge to be detected according to the acoustic emission data.
Optionally, referring to fig. 2, step 102 may include:
and 1021, determining a Kessel point according to the acoustic emission data, and acquiring a load corresponding to the Kessel point.
The kessel effect, i.e., the Kaiser effect, refers to the fact that no or very little acoustic emission data is generated during repeated loading of a material if the previous historical peak load is not exceeded, and that a large amount of acoustic emission data is generated only if the applied load exceeds the historical peak load. The break points of the acoustic emission data are kessel points. Ideally, the load corresponding to the kessel point is the historical maximum load. However, in practical applications, due to factors such as structural deviation and material deviation, the load corresponding to the kessel point is not necessarily the historical maximum load, and needs to be determined according to the actually acquired acoustic emission data.
In practical application, the Kaiser point can be determined from the acoustic emission data by using a catastrophe method, a maximum curvature determination method, a double tangent method or a reloading method. The embodiment of the present invention does not limit the specific manner of determining the kessel point.
The maximum curvature determination method is exemplarily used to determine the kessel point in the embodiment of the present invention. Namely, according to the acoustic emission data acquired in the loading process, a relation curve graph of the cumulative number of the acoustic emission data and time is obtained through fitting, the maximum curvature point in the curve graph is determined through derivation, and the maximum curvature point is determined as a Kessel point.
And 1022, determining the labor-consuming sitter ratio of the bridge to be detected according to the load corresponding to the Kaiser point.
The laborious Betty ratio, i.e., the Felicity ratio, is a quantitative parameter that can effectively reflect the severity of damage or structural defects in the bridge structure. From this, can calculate the ultimate bearing capacity of bridge structures according to the hard west to match.
Optionally, determining a laborious sitter ratio of the bridge to be measured according to the load corresponding to the kessel point may include:
and calculating the quotient of the load corresponding to the Kaiser point and the historical maximum load, and determining the quotient as the laborious Sedi ratio of the bridge to be detected.
Illustratively, if the Kessel point corresponds to a load of 19 and the historical maximum load of 20, the ratio of the labor to the Soy is
It should be noted that the historical maximum load here refers to the historical maximum load that has been acquired in advance before the load is applied in step 101Load, not the historical maximum load that has been updated after the load was applied in step 101.
And 103, calculating to obtain the ultimate bearing capacity of the bridge to be measured according to the labor-wasting West-Di ratio and the load.
When the load larger than the historical maximum load is applied to the bridge to be tested, the load is correspondingly updated to be the new historical maximum load. Moreover, the applicant finds that the ratio of the current historical maximum load to the ultimate bearing capacity (i.e. the load ratio) and the laborious sitedi ratio have a corresponding variation relationship, and the laborious sitedi ratio gradually decreases as the load ratio increases. Therefore, the ultimate bearing capacity of the bridge to be measured can be calculated according to the laborious Betty ratio and the currently applied load (the new historical maximum load).
Optionally, before step 103, the method further includes:
and 104, acquiring a labor-wasting west-pedicle ratio of the bridge under different loads and a corresponding load ratio of the bridge.
As described above, by applying a load value greater than the current historical maximum load to the bridge and acquiring acoustic emission data during loading, the laborious siemens ratio under that load can be determined.
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 value applied to the bridge is greater than the historical maximum load, the load value is the current historical maximum load. Thus, a corresponding load ratio also exists for this load.
By applying different load values larger than the current historical maximum load to the bridge for multiple times, the labor-wasting West-Di ratio under each load and the corresponding load ratio can be obtained correspondingly.
And 105, fitting the labor-wasting clitoral ratio and the corresponding load ratio to obtain a fitting curve, and determining an expression of the fitting curve.
Optionally, referring to fig. 3, matlab may be used to perform data fitting on the plurality of sets of laborious siemens ratios obtained in step 104 and the corresponding load ratios thereof, and determine an expression of a fitting curve as: k = A.FR 2 +B·FR+C。
Wherein K represents a load ratio, FR represents a laborioussierti ratio, A represents a first coefficient, B represents a second coefficient, and C represents a third coefficient.
Illustratively, the expression of the fitted curve provided by the embodiment of the present invention is: k = -1.5825FR 2 +0.8104FR+0.8884。
The embodiment of the invention does not specifically limit the specific fitting mode, and the user can select the fitting mode according to the self requirement.
And step 106, determining the functional relation of the ultimate bearing capacity according to the expression of the fitting curve.
Optionally, step 106 may include:
will be provided with
And substituting the expression of the fitting curve to obtain a function relation of the ultimate bearing capacity, wherein the obtained function relation of the ultimate bearing capacity is as follows: />
Wherein, F cr The ultimate bearing capacity is shown, and F represents the load applied to the bridge to be tested.
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 value greater than the historical maximum load has been applied to the bridge, the currently applied load value is the current historical maximum load.
Illustratively, the ultimate bearing capacity function relationship provided by the embodiment of the present invention is:
accordingly, step 103 may comprise:
and (4) bringing the labor-consuming Betty ratio and the load into the ultimate bearing capacity functional relation, and calculating to obtain the ultimate bearing capacity of the bridge to be measured.
And substituting the labor-consuming sitter ratio obtained in the step 102 and the load value applied in the step 101 into the function relation of the ultimate bearing capacity to obtain the ultimate bearing capacity of the bridge to be measured.
Optionally, after step 103, the method further includes:
and 107, jumping to the step of applying load to the bridge to be tested, applying new load to the bridge to be tested again, and continuously executing the subsequent steps until N limit bearing capacities are obtained. N is greater than 1.
It can be understood that, when a load is applied to the bridge to be tested each time, the load value is greater than the load value applied last time, so as to ensure that the load value applied each time is greater than the current historical maximum load.
And step 108, calculating the average value of the N limit bearing capacities, and determining the average value as the final limit bearing capacity.
The method comprises the steps of obtaining a plurality of ultimate bearing capacities by applying a load value larger than the current historical maximum load to the bridge to be tested for a plurality of times, so that the accuracy of the final ultimate bearing capacity can be improved by calculating an average value.
In order to prove the accuracy of the method for calculating the ultimate bearing capacity of the bridge, which is provided by the embodiment of the invention, the ultimate bearing capacity of the bridge is measured and calculated respectively for six different bridges. The measurement result can be specifically seen in table 1, and table 1 shows an error between the calculated value of the ultimate bearing capacity calculated by the calculation method in the embodiment of the present invention and the actual measured value of the ultimate bearing capacity:
TABLE 1
As can be seen from table 1, the calculation result of the calculated value of the ultimate bearing capacity calculated by the embodiment of the present invention can be controlled within an error range of ± 10%, and the calculation accuracy of the ultimate bearing capacity can be effectively ensured.
The method comprises the steps of applying load to a bridge to be tested, and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load borne by the current bridge to be tested; determining the labor-wasting west-pedicle ratio of the bridge to be detected according to the acoustic emission data; according to the labor-consuming Betty ratio and the load, the ultimate bearing capacity of the bridge to be measured is obtained through calculation, and the calculation accuracy of the ultimate bearing capacity can be effectively improved. The calculation method is based on actual acoustic emission data in the loading process, does not depend on the ideal state of the bridge to be measured, can truly reflect the ultimate bearing capacity of the bridge to be measured, and has higher calculation accuracy. In addition, because the corresponding change relationship exists between the labor-wasting clitoral ratio and the load ratio (the ratio of the current historical maximum load to the current ultimate bearing capacity), the ultimate bearing capacity can be accurately calculated directly according to the labor-wasting clitoral ratio and the current applied load, and a destructive load test is not required to be implemented.
Furthermore, after the ultimate bearing capacity is obtained, the embodiment of the invention can skip to be repeatedly executed, a plurality of ultimate bearing capacities are obtained by applying a load value larger than the current historical maximum load to the bridge to be tested for a plurality of times, and the final ultimate bearing capacity is determined by calculating the average value, so that the calculation accuracy of the ultimate bearing capacity can be further improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 4 is a schematic structural diagram of a bridge ultimate bearing capacity calculation device provided by an embodiment of the present invention, and for convenience of explanation, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:
the device 4 for calculating the ultimate bearing capacity of the bridge shown in fig. 4 comprises: an acquisition module 41, a processing module 42 and a calculation module 43.
The acquisition module 41 is used for applying a load to the bridge to be tested and acquiring acoustic emission data in the loading process; and the applied load value is larger than the historical maximum load borne by the current bridge to be tested.
And the processing module 42 is used for determining the labor-wasting west-pedicle ratio of the bridge to be detected according to the acoustic emission data.
And the calculating module 43 is used for calculating the ultimate bearing capacity of the bridge to be measured according to the arduous west pedicle ratio and the load.
In one possible implementation, the processing module 42 is further configured to obtain a laborious siedi ratio of the bridge under different loads and a corresponding load ratio thereof.
The processing module 42 is further configured to fit the laborious siedi ratio and the corresponding load ratio to obtain a fit curve, and determine an expression of the fit curve.
The processing module 42 is further configured to determine the ultimate bearing capacity functional relationship according to the expression of the fitted curve.
And the calculating module 42 is used for bringing the labor-consuming West-Dill ratio and the load into the ultimate bearing capacity functional relation, and calculating to obtain the ultimate bearing capacity of the bridge to be measured.
In one possible implementation, the expression of the fitted curve is: k = A.FR 2 + B.FR + C; wherein K represents a load ratio, FR represents a laborioussierti ratio, A represents a first coefficient, B represents a second coefficient, and C represents a third coefficient.
A processing module 42 for
Bringing in an expression of the fitting curve to obtain a functional relation of the ultimate bearing capacity; the ultimate bearing capacity function relationship is as follows: />
Wherein, F cr The ultimate bearing capacity is shown, and F represents the load applied to the bridge to be tested.
In a possible implementation manner, the calculation module 43 is configured to jump to the step of "applying a load to the bridge to be tested", apply a new load to the bridge to be tested again, and continue to execute the subsequent steps until N limit bearing capacities are obtained; n is greater than 1.
The calculating module 43 is further configured to calculate an average value of the N ultimate bearing capacities, and determine the average value as a final ultimate bearing capacity.
In a possible implementation manner, the processing module 42 is configured to determine a kessel point according to the acoustic emission data, and acquire a load corresponding to the kessel point.
The processing module 42 is further configured to determine a laborious sitter ratio of the bridge to be measured according to the load corresponding to the kessel point.
In a possible implementation manner, the processing module 42 is further configured to calculate a quotient of the load corresponding to the kessel point and the historical maximum load, and determine the quotient as a laborious sitter ratio of the bridge to be measured.
In the embodiment of the invention, the acquisition module 41 is used for applying a load to the bridge to be tested and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load born by the current bridge to be tested; the processing module 42 is used for determining the labor-consuming sitter ratio of the bridge to be detected according to the acoustic emission data; and the calculating module 43 is used for calculating the ultimate bearing capacity of the bridge to be measured according to the laborious Betty ratio and the load, so that the calculation accuracy of the ultimate bearing capacity can be effectively improved. The calculation module 43 is based on the actual acoustic emission data in the loading process when calculating the limit bearing capacity, does not depend on the ideal state of the bridge to be measured, can truly reflect the limit bearing capacity of the bridge to be measured, and has higher calculation accuracy. Moreover, since there is a corresponding variation relationship between the laborious siemens ratio and the load ratio (the ratio of the current historical maximum load to the ultimate bearing capacity), the calculation module 43 can accurately calculate the ultimate bearing capacity directly according to the laborious siemens ratio and the current applied load, without performing a destructive load test.
Further, after the calculation module 43 obtains the ultimate bearing capacity, it may jump to repeat execution, obtain multiple ultimate bearing capacities by applying a load value larger than the current historical maximum load to the bridge to be measured for multiple times, and determine the final ultimate bearing capacity by calculating the average value, so as to further improve the calculation accuracy of the ultimate bearing capacity.
Fig. 5 is a schematic diagram of an electronic device provided in an embodiment of the present invention. As shown in fig. 5, the electronic apparatus 5 of this embodiment includes: a processor 50, a memory 51 and a computer program 52 stored in said memory 51 and executable on said processor 50. The processor 50 executes the computer program 52 to implement the steps in the above-mentioned embodiments of the method for calculating the ultimate bearing capacity of the bridge, such as the steps 101 to 103 shown in fig. 1. Alternatively, the processor 50, when executing the computer program 52, implements the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 41 to 43 shown in fig. 4.
Illustratively, the computer program 52 may be partitioned into one or more modules/units that are stored in the memory 51 and executed by the processor 50 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 52 in the electronic device 5. For example, the computer program 52 may be divided into the modules 41 to 43 shown in fig. 4.
Electronic device the electronic device 5 may include, but is not limited to, a processor 50, a memory 51. Those skilled in the art will appreciate that fig. 5 is merely an example of an electronic device 5 and does not constitute a limitation of the electronic device 5 and may include more or fewer components than shown, or some components may be combined, or different components, e.g., the electronic device may also include input-output devices, network access devices, buses, etc.
The Processor 50 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may be an internal storage unit of the electronic device 5, such as a hard disk or a memory of the electronic device 5. The memory 51 may also be an external storage device of the electronic device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the electronic device 5. The memory 51 is used for storing the computer program and other programs and data required by the electronic device. The memory 51 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other ways. For example, the above-described apparatus/electronic device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U.S. disk, removable hard disk, magnetic diskette, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signal, telecommunications signal, and software distribution medium, etc.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method for calculating the ultimate bearing capacity of a bridge is characterized in that at least one acoustic emission sensor is arranged at a preset position of a bridge to be measured, and the method for calculating the ultimate bearing capacity of the bridge comprises the following steps:
applying load to the bridge to be tested, and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load borne by the current bridge to be tested;
determining the labor-consuming West-to-pedestal ratio of the bridge to be detected according to the acoustic emission data;
and calculating to obtain the ultimate bearing capacity of the bridge to be measured according to the labor-wasting-western-base ratio and the load.
2. The method for calculating the ultimate bearing capacity of the bridge according to claim 1, wherein before the calculating the ultimate bearing capacity of the bridge to be measured according to the laboursome ratio and the load, the method further comprises:
acquiring a labor-consuming Xidi ratio of the bridge under different loads and a corresponding load ratio of the bridge;
fitting the labor-wasting siemens ratio and the corresponding load ratio to obtain a fitting curve, and determining an expression of the fitting curve;
determining a function relation of the ultimate bearing capacity according to the expression of the fitting curve;
the method for calculating the ultimate bearing capacity of the bridge to be tested according to the labor-wasting sitter ratio and the load comprises the following steps:
and bringing the labor-wasting Betty ratio and the load into a function relation of a limit bearing capacity, and calculating to obtain the limit bearing capacity of the bridge to be measured.
3. The method for calculating the ultimate bearing capacity of the bridge according to claim 2, wherein the expression of the fitting curve is as follows: k = A.FR 2 +B·FR+C；
Wherein K represents a load ratio, FR represents a labourious Buttery ratio, A represents a first coefficient, B represents a second coefficient, and C represents a third coefficient;
determining a functional relation of the ultimate bearing capacity according to the expression of the fitting curve, wherein the functional relation comprises the following steps:
will be provided with
Substituting an expression of the fitting curve to obtain the ultimate bearing capacity functional relation; what is needed is
The ultimate bearing capacity function relationship is as follows:
wherein, F cr And F represents the load applied to the bridge to be tested.
4. The method for calculating the ultimate bearing capacity of the bridge according to claim 1, wherein after the ultimate bearing capacity of the bridge to be measured is calculated according to the laboursome ratio and the load, the method further comprises:
jumping to the step of applying load to the bridge to be tested, applying new load to the bridge to be tested again, and continuing to execute the subsequent steps until N limit bearing capacities are obtained; the N is greater than 1;
and calculating the average value of the N ultimate bearing capacities, and determining the average value as the final ultimate bearing capacity.
5. The method for calculating the ultimate bearing capacity of a bridge according to claim 1, wherein the determining the labor-wasting siedi ratio of the bridge under test according to the acoustic emission data comprises:
determining a Kessel point according to the acoustic emission data, and acquiring a load corresponding to the Kessel point;
and determining the labor-wasting sitter ratio of the bridge to be detected according to the load corresponding to the Kaiser point.
6. The method for calculating the ultimate bearing capacity of the bridge according to claim 5, wherein the determining the laborious Betty ratio of the bridge to be measured according to the load corresponding to the Kaiser point comprises:
and calculating the quotient of the load corresponding to the Kaiser point and the historical maximum load, and determining the quotient as the laborious Betty ratio of the bridge to be detected.
7. A bridge ultimate bearing capacity calculation device, comprising:
the acquisition module is used for applying load to the bridge to be tested and acquiring acoustic emission data in the loading process; the load is larger than the historical maximum load borne by the current bridge to be tested;
the processing module is used for determining the labor-wasting siemens ratio of the bridge to be detected according to the acoustic emission data;
and the calculation module is used for calculating the ultimate bearing capacity of the bridge to be measured according to the labor-wasting west-pedicle ratio and the load.
8. The bridge ultimate bearing capacity calculation apparatus of claim 7,
the processing module is also used for acquiring the labor-consuming West-Di ratio of the bridge under different loads and the corresponding load ratio;
the processing module is further used for fitting the labor-wasting clitoral ratio and the corresponding load ratio to obtain a fitting curve and determining an expression of the fitting curve;
the processing module is further used for determining a limit bearing capacity functional relation according to the expression of the fitting curve;
and the calculation module is used for bringing the labor-wasting Betty ratio and the load into a function relation of a limit bearing capacity, and calculating to obtain the limit bearing capacity of the bridge to be measured.
9. An electronic device comprising a memory for storing a computer program and a processor for calling up and running the computer program stored in the memory, wherein the processor when executing the computer program implements the steps of the method for calculating bridge limit capacity according to any of the claims 1 to 6.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method for calculating a bridge ultimate bearing capacity according to any one of claims 1 to 6 above.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211604316.2A CN115905772A (en) | 2022-12-13 | 2022-12-13 | Bridge ultimate bearing capacity calculation method and device, electronic equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211604316.2A CN115905772A (en) | 2022-12-13 | 2022-12-13 | Bridge ultimate bearing capacity calculation method and device, electronic equipment and storage medium |
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| CN115905772A true CN115905772A (en) | 2023-04-04 |
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| CN202211604316.2A Pending CN115905772A (en) | 2022-12-13 | 2022-12-13 | Bridge ultimate bearing capacity calculation method and device, electronic equipment and storage medium |
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| Country | Link |
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| CN (1) | CN115905772A (en) |
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