CN118036418A - Bridge state reconstruction processing method and device based on limited perception and storage medium - Google Patents
Bridge state reconstruction processing method and device based on limited perception and storage medium Download PDFInfo
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Abstract
The invention provides a bridge state reconstruction processing method and device based on limited perception and a storage medium, wherein the processing method comprises the following steps: obtaining actual measurement values of all physical quantities of the bridge measuring point positions; dividing a bridge finite element simulation model into finite units, and acquiring a first simulation value corresponding to each physical quantity at each node and a second simulation value corresponding to each physical quantity at any position in each unit; based on deviation results of the measured values of the physical quantities and the corresponding first analog values, correcting the first analog values and the second analog values by using a first correction coefficient to obtain first correction values and second correction values, or correcting the first analog values and the second analog values by using a second correction coefficient to obtain third correction values corresponding to the physical quantities at any position in each unit; and determining the bridge state. By adopting the processing method, the physical quantity reference value of the bridge universe can be accurately obtained based on the actual measurement value of each limited physical quantity of the measuring point, and more accurate bridge state analysis is realized.
Description
Technical Field
The invention relates to the technical field of bridge detection and evaluation, in particular to a bridge state reconstruction processing method and device based on limited perception and a storage medium.
Background
The bridge structure belongs to engineering structures, and can be essentially simplified into mechanical problems when the engineering structure problem is solved, the mechanical problems aim at solving basic physical quantities such as internal force, stress and deformation problems of the structure, and in addition, the influence of a plurality of factors on the physical quantities such as temperature, material performance aging, cross section size reduction, redistribution caused by internal force of the structure and the like is also needed to be considered, and the safety state of the current bridge can be evaluated by comparing the magnitude of the indexes with the structural limit value.
There are three types of means currently available for obtaining these physical quantities: the first is to simplify the bridge structure into basic mechanical diagram, and solve the basic physical quantity by a more accurate mathematical analysis method; secondly, performing numerical simulation on a bridge structure, performing simulation calculation on the bridge structure by adopting a finite element analysis method (FEA, finite Element Analysis), establishing an analysis model according to design parameters, dividing the model into finite units by utilizing grids, and calculating the physical magnitude of each unit under different working conditions by applying different load combinations; thirdly, actually measuring the key point of the structure, and directly or indirectly obtaining the physical quantity value to be measured by arranging a sensor.
In the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art:
The mathematical analysis method can obtain the theoretical calculation value of each section of the bridge structure through theoretical calculation, but is limited by calculation amount and calculation capability in the face of extremely complex modern bridges, the authenticity of a final result is easily affected by simplification in the calculation process, the current mathematical analysis method is only used for simple mechanical problem analysis, and a numerical simulation method is often adopted for complex engineering structures; the numerical simulation method can calculate various complex bridge structures through fine modeling to obtain the simulation approximation value of each unit, but the finer the numerical simulation modeling is, the higher the requirement on the computing capacity of a computer is, and the calculation result is easily influenced by the modeling mode and input parameters to deviate from the actual situation; the physical quantity actual measurement is the most direct method capable of reflecting the real state of the bridge, but considering the measuring point arrangement problem, the method can only obtain the limited quantity value of the measuring point position, and can not sense the state quantity value of each place in the whole domain of the structure.
Therefore, there is a need for a method, an apparatus and a storage medium for reconstructing bridge states based on limited awareness, so as to at least partially solve the above technical problems.
Disclosure of Invention
In view of this, the embodiment of the invention provides a bridge state reconstruction processing method, device and storage medium based on limited perception, so as to at least solve one of the problems in the prior art.
The invention provides a bridge state reconstruction processing method based on limited perception, which comprises the following steps of:
Obtaining measured values of all physical quantities of bridge measuring point positions which simultaneously accord with the distribution characteristics of the bridge structure corresponding to all physical quantities used for representing the bridge state and the convenient site arrangement conditions;
Dividing the bridge finite element simulation model into finite units corresponding to all bridge measuring point positions by utilizing grids, and obtaining first simulation values corresponding to physical quantities at each node, wherein a common point among the units is called a node; acquiring a second analog value corresponding to each physical quantity at any position in each unit based on the first analog value by using the following calculation formula The calculation formula is as follows:
Wherein, For the first analog value corresponding to each physical quantity at each node,/>A shape function corresponding to each node;
Based on the deviation result of comparing the measured value of each physical quantity of the bridge measuring point position with the first analog value corresponding to each physical quantity at the corresponding node, if the deviation result is not greater than the threshold value, correcting the first analog value and the second analog value by using a first correction coefficient to obtain a first correction value and a second correction value respectively, and if the deviation result is greater than the threshold value, correcting the calculation formula by using a second correction coefficient Correcting, namely obtaining a third correction value corresponding to each physical quantity at any position in each unit based on a corrected calculation formula;
And comparing the first correction value and the second correction value with the structural limit value corresponding to each physical quantity, or comparing the measured value of each physical quantity of the bridge measuring point position and the third correction value with the structural limit value corresponding to each physical quantity, and determining the bridge state.
In some embodiments of the present invention, the processing method further includes obtaining a deviation result of comparing each measured value of the physical quantity of the bridge measurement point position with a first analog value corresponding to each physical quantity at the corresponding nodeWherein/>Represents the/>And (5) measuring actual measurement values of all physical quantities at the bridge measuring point positions.
In some embodiments of the present invention, the correcting the first analog value and the second analog value with the first correction coefficient to obtain a first corrected value and a second corrected value, respectively, includes:
determining a first correction coefficient ，
Wherein,Represents the/>Importance weight coefficient of the bridge measuring point position;
the first analog value and the second analog value are each directly multiplied by a first correction coefficient A first correction value and a second correction value are obtained, respectively.
In some embodiments of the invention, the applying the second correction factor to the calculation formulaCorrecting, based on the corrected calculation formula, to obtain a third correction value corresponding to each physical quantity at any position in each cellComprising:
determining a second correction coefficient ，
；
Determining a modified calculation formula。
In some embodiments of the present invention, the measured values of each physical quantity of the bridge measurement point position are obtained, specifically:
And arranging corresponding sensors at the bridge measuring point positions for actual measurement, and directly or indirectly obtaining actual measurement values of all physical quantities to be measured.
In some embodiments of the invention, the first and second correction values, or the third correction value, are also displayed by a state cloud to visually display the magnitude distribution.
In some embodiments of the present invention, the processing method further includes building a bridge finite element simulation model, including:
and establishing a bridge finite element simulation model based on the original bridge design drawing data.
In some embodiments of the present invention, the bridge measuring point position includes a maximum stress section, a maximum deformation position and a maximum temperature measuring point, and the physical quantities used for representing the bridge state include deformation, stress, temperature and strain.
The second aspect of the present invention also provides an electronic device, including:
The first acquisition module is used for acquiring the measured values of the physical quantities of the bridge measuring point positions which simultaneously accord with the bridge structure distribution characteristics corresponding to the physical quantities used for representing the bridge state and the convenient site arrangement conditions;
The second acquisition module is used for dividing the bridge finite element simulation model into finite units of which the nodes contain all the positions corresponding to the bridge measuring points by utilizing grids, and acquiring first simulation values corresponding to the physical quantities at each node; acquiring a second analog value corresponding to each physical quantity at any position in each unit based on the first analog value;
The correction module is used for correcting the first analog value and the second analog value by using a first correction coefficient if the deviation result is not greater than a threshold value, respectively obtaining the first correction value and the second correction value, correcting a calculation formula by using a second correction coefficient if the deviation result is greater than the threshold value, and obtaining a third correction value corresponding to each physical quantity at any position in each unit by using the corrected calculation formula;
and the determining module is used for comparing the first correction value and the second correction value or the actual measurement value and the third correction value of each physical quantity with the structural limit value corresponding to each physical quantity to determine the bridge state.
The third aspect of the present invention also provides a bridge state reconstruction processing apparatus based on limited perception, the processing apparatus comprising:
A memory for storing computer executable instructions;
And the processor is used for realizing the processing method of the embodiment when executing the computer executable instructions stored in the memory.
The fourth aspect of the present invention also provides a computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the processing method described in the above embodiment.
The fifth aspect of the present invention also provides a computer program which, when executed by a processor, implements the processing method described in the above embodiment.
According to the processing method provided by the embodiment of the invention, the corresponding physical state distribution characteristics, the field arrangement conditions and the unit division condition of the bridge finite element simulation model are simultaneously considered when the bridge measuring point position subjected to actual measurement is selected, so that the actual measurement value of each physical quantity based on the bridge measuring point position is more convenient and accurate, the association relation between the actual measurement value and the analog value is established, then the relevant analog value is corrected and reconstructed based on the actual measurement value, the reference value of each physical quantity in the global range of the bridge structure is obtained more reliably and truly, and the more accurate bridge state analysis is realized.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
It will be appreciated by those skilled in the art that the objects and advantages that can be achieved with the present invention are not limited to the above-described specific ones, and that the above and other objects that can be achieved with the present invention will be more clearly understood from the following detailed description.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate and together with the description serve to explain the invention. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention. Corresponding parts in the drawings may be exaggerated, i.e. made larger relative to other parts in an exemplary device actually manufactured according to the present invention, for convenience in showing and describing some parts of the present invention. In the drawings:
FIG. 1 is a flow chart of a processing method according to an embodiment of the invention;
FIG. 2 is another flow chart of a processing method according to an embodiment of the invention;
FIG. 3 is a schematic diagram of unit-to-node relationships in a processing method according to an embodiment of the invention;
FIG. 4 is a schematic illustration of a portion of a process of a cable-stayed bridge in a treatment method according to an embodiment of the invention;
FIG. 5 is a schematic diagram of a processing method according to an embodiment of the invention when the first correction coefficient is used for correction;
FIG. 6 is a schematic diagram of a processing method according to an embodiment of the invention when the second correction coefficient is used for correction;
FIG. 7 is a schematic block diagram of an electronic device in accordance with an embodiment of the present invention;
fig. 8 is a schematic block diagram of a processing device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the following embodiments and the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent. The exemplary embodiments of the present invention and the descriptions thereof are used herein to explain the present invention, but are not intended to limit the invention.
It should be noted here that, in order to avoid obscuring the present invention due to unnecessary details, only structures and/or processing steps closely related to the solution according to the present invention are shown in the drawings, while other details not greatly related to the present invention are omitted.
It should be emphasized that the term "comprises/comprising" when used herein is taken to specify the presence of stated features, elements, steps or components, but does not preclude the presence or addition of one or more other features, elements, steps or components.
It is also noted herein that the term "coupled" may refer to not only a direct connection, but also an indirect connection in which an intermediate is present, unless otherwise specified.
Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the drawings, the same reference numerals represent the same or similar components, or the same or similar steps.
First, a bridge state reconstruction processing method 100 based on limited perception according to an embodiment of the present application will be described with reference to fig. 1. As shown in fig. 1, the processing method 100 may include the steps of:
In step S110, measured values of each physical quantity simultaneously corresponding to the bridge structure distribution characteristics corresponding to each physical quantity for representing the bridge state and the bridge measuring point positions for facilitating the on-site arrangement condition are obtained.
In step S120, dividing the bridge finite element simulation model into finite elements corresponding to all bridge measuring point positions by using a grid, and obtaining a first simulation value corresponding to each physical quantity at each node, wherein a common point between the elements is called a node; acquiring a second analog value corresponding to each physical quantity at any position in each unit based on the first analog value by using the following calculation formulaThe calculation formula is as follows:
Wherein, For the first analog value corresponding to each physical quantity at each node,/>Is a shape function corresponding to each node.
In step S130, based on the deviation result of comparing each measured value of the physical quantity at the bridge measuring point position with the corresponding first analog value of each physical quantity at the corresponding node, correcting the first analog value and the second analog value by using the first correction coefficient if the deviation result is not greater than the threshold value, respectively obtaining the first correction value and the second correction value, and correcting the calculation formula by using the second correction coefficient if the deviation result is greater than the threshold valueAnd correcting, namely obtaining a third correction value corresponding to each physical quantity at any position in each unit based on the corrected calculation formula.
In step S140, the first correction value and the second correction value are compared with the structural limit value corresponding to each physical quantity, or the measured value of each physical quantity at the bridge measurement point position and the third correction value are compared with the structural limit value corresponding to each physical quantity together, so as to determine the bridge state.
In the embodiment of the application, firstly, bridge measuring point positions which simultaneously consider corresponding physical state distribution characteristics of the structure, site arrangement conditions and unit division conditions of a bridge finite element simulation model are selected for actual measurement, measured values of all physical quantities of the bridge measuring point positions are obtained, then, based on the bridge finite element simulation model, first analog values corresponding to all the physical quantities at all the nodes are obtained, then, based on the first analog values, second analog values corresponding to all the physical quantities at any position in all the units are obtained by using a shape function, finally, correction and reconstruction are carried out on the relevant analog values based on the measured values, and thus, all physical quantity reference values (first correction values and second correction values or third correction values) in the whole domain range of the bridge structure are obtained more reliably and truly, and more accurate bridge state analysis is realized.
As can be seen from the description of the above process, according to the processing method 100 of the embodiment of the present application, compared with the conventional method, when the processing method obtains the values of the relevant physical quantities required for the bridge state analysis, the bridge measurement point positions which simultaneously consider the corresponding physical state distribution characteristics of the structure, the field arrangement conditions and the unit division conditions of the bridge finite element simulation model are selected for actual measurement, so that the obtained actual measurement values of the physical quantities based on the bridge measurement point positions are more convenient and accurate, and the association relationship between the actual measurement values and the simulation values is established, so that the subsequently corrected and reconstructed relevant corrected values based on the simulation values are more true and reliable. In addition, the processing method 100 of the embodiment of the application only needs to acquire the actual measurement values of the bridge measuring point positions with limited quantity, thereby greatly reducing the acquisition difficulty and the measurement cost of the actual measurement values.
The contents of the above steps of the processing method 100 according to the embodiment of the present application will be specifically described below.
In the embodiment of the present application, in step S110, measured values of each physical quantity simultaneously corresponding to the bridge structure distribution characteristics corresponding to each physical quantity for representing the bridge state and the bridge measuring point positions for facilitating the on-site arrangement conditions are obtained.
Specifically, referring to fig. 1 and 2, the bridge state may be characterized by various physical indexes (physical quantities) individually or comprehensively. The invention can respectively correct and reconstruct each physical quantity of the bridge state, and finally can obtain various physical quantity values for representing the bridge state so as to approach the real state of the bridge.
Firstly, considering the problems of measuring point arrangement and measuring cost, the invention needs to specially select the position of the bridge measuring point which is actually measured.
The bridge measuring point position of the invention considers the distribution characteristics of the physical state of the structure, facilitates the on-site arrangement condition and the unit division condition of the subsequent model numerical simulation, meets the three conditions when the bridge measuring point position is actually selected, and preferentially selects the key position concerned by the bridge structure, such as the key cross section of the bridge, and generally comprises the representative positions of the maximum stress cross section, the maximum deformation position, the maximum temperature measuring point and the like. It can be understood that the bridge measuring point positions are different according to the distribution characteristics of the corresponding physical states of the structure according to the specific physical quantity to be acquired.
Referring to fig. 4, for example, a cable-stayed bridge is taken as an object, taking a reconstruction process of a vertical deformation state under a specific load as an example, taking the distribution characteristics of the vertical deformation of the cable-stayed bridge into consideration, measuring is preferably performed by arranging sensors at the midspan and the quarter points of the main girder, the midspan of the side span of the main girder, the connection position of the tower beams, the top of the bridge tower and the bottom of the bridge tower (for example, D1-D9 in the figure). In view of the convenience of on-site arrangement, the main beam measuring points can be arranged on the outer beam bottom or the inner beam bottom of the box beam, and the bridge tower measuring points are directly arranged at the top and bottom positions. It will be appreciated that for determining other physical index states such as strain, stress or temperature, the positions of the measuring points of the corresponding arrangement sensors will be adjusted and changed accordingly, and will not be described in detail herein.
The actual measurement perception is the method which can most directly and truly reflect the bridge state, and corresponding sensors can be generally arranged to directly or indirectly acquire the physical quantity value to be measured. The method adopts the prior art and is not repeated. Taking a cable-stayed bridge as an example, measuring the deformation of the bridge structure at the measuring point under a specific loading condition to obtain the deformation corresponding to each measuring point。
For convenience of description, each physical quantity used for representing the state of the bridge is only taken as an example of vertical deformation of the cable-stayed bridge, and other physical quantities of the cable-stayed bridge or each physical quantity of other types of bridges can be taken as reference, and are not described one by one.
In the embodiment of the present application, in step S120, the finite element simulation model of the bridge is divided into finite elements corresponding to all bridge measuring point positions by using a grid, and a first simulation value corresponding to each physical quantity at each node is obtained, wherein a common point between the elements is called a node. And acquiring a second analog value corresponding to each physical quantity at any position in each unit based on the first analog value.
Specifically, first, a finite element simulation model of a bridge corresponding to a bridge to be analyzed is divided into finite elements by using a grid. The shapes of the cells formed according to the division manner may be different. Referring to fig. 3, a cell formed by division is illustrated, but not meant to be limiting. It should be noted that, when the bridge finite element simulation model divides the units, the nodes must include all the corresponding positions of the bridge measuring points. Because the actual measurement result is closer to the real state of the bridge than the model numerical simulation calculation result, the bridge state is reconstructed by establishing the association relation between the actual measurement value and the numerical simulation value, and the reconstruction result is more reliable.
The bridge finite element simulation model can be established based on original bridge design drawing data, which is a conventional technology in the art and is not described in detail herein.
And then, calculating the physical magnitude of each unit under different working conditions by applying different load combinations based on the bridge finite element simulation model.
Specifically, a first analog value corresponding to each physical quantity at each node is obtained by numerical simulation. Where the common points between units are called nodes. Continuously taking the reconstruction processing of the vertical deformation state of the cable-stayed bridge under the action of specific load as an example, extracting the first position corresponding to the measuring point from the finite element analysis result of the finite element simulation model of the bridgeAnalog deformation at individual nodes/>(First analog value).
Referring to FIG. 3, based on the simulated deformationThe following calculation formula is used to obtain the simulated deformation/>, of any position P in each unit(Second analog value). The calculation formula is as follows:
Wherein, To correspond to the/>The shape function at each node is mathematically an interpolated weight function. /(I)Can be obtained by the prior art such as engineering personnel statistical determination.
The Shape function (Shape function) is a continuous function, satisfying the given value of the boundary point and the internal continuity. In finite element analysis, the solution domain of a structure or problem is divided into several units, each unit consisting of several nodes. A shape function is a function defined on a cell whose value at a node is 1 and whose values at other locations are calculated based on the shape of the cell and the location of the node.
The function of the shape functions is to represent the displacement or other physical quantity of any point within the cell as a linear combination of node displacements or other node quantities. Through the shape function, the displacement or other physical quantity in the unit can be expressed as a function of the node displacement or other node quantity, so that the whole structure or problem can be solved.
The shape function is for interpolation in a cell, and generally refers to interpolation of values at any position P in a cell from values at all nodes of the cell to obtain the value of P. Common interpolation methods include linear interpolation, quadratic interpolation, cubic interpolation, and the like. Different interpolation methods correspond to different form functions, for example, a linear interpolation form function is a primary function, a quadratic interpolation form function is a secondary function, and a cubic interpolation form function is a tertiary function.
In the embodiment of the present application, in step S130, the deviation result of comparing each measured value of the physical quantity at the bridge measurement point position with the first analog value corresponding to each physical quantity at the corresponding node is based. And if the deviation result is not greater than the threshold value, correcting the first analog value and the second analog value by adopting a first correction coefficient to respectively obtain the first correction value and the second correction value. If the deviation result is larger than the threshold value, adopting a second correction coefficient to calculate the formulaAnd correcting, namely obtaining a third correction value corresponding to each physical quantity at any position in each unit based on the corrected calculation formula.
Continuing with the cable-stayed bridge as an example, referring to fig. 1, step S130 may include the steps of:
In step S131, the deformation of the bridge measuring point position is obtained And the corresponding simulated deformation at the nodeDeviation results of the comparison/>Bias result/>And threshold/>（/>Representing the relative deviation limit) are compared in magnitude.
In step S132, if the deviation result is not greater than the threshold value, a first correction coefficient is usedSimulated deformation/>And simulated deformation/>And carrying out correction to obtain a first correction value and a second correction value respectively.
In particular, when the deviation result is not greater than the threshold value, i.e≤/>The measured deformation representing the bridge measuring point position is equal to or less in deviation from the simulation deformation at the corresponding node, and a first correction coefficient can be adoptedSimulated deformation/>And simulated deformation/>And (5) performing correction.
Wherein the first correction coefficientThe following formula can be used for determination:
Wherein, Represents the/>The importance weight coefficient of the bridge measuring point position can be determined through the node importance.
Then, the deformation amount was simulatedAnd simulated deformation/>Each direct multiplication by a first correction coefficient/>A first correction value and a second correction value are obtained, respectively.
In step S133, if the deviation result is greater than the threshold value, the second correction coefficient pair calculation formula is adopted: In/> And correcting, namely obtaining a third correction value corresponding to the analog deformation of any position in each unit based on the corrected calculation formula.
In particular, when the deviation result is greater than the threshold value, i.e＞/>The measured deformation of the bridge measuring point position and the simulated deformation of the corresponding node have larger deviation, and a second correction coefficient pair calculation formula can be adopted: /(I)In/>And (5) performing correction.
Wherein the second correction coefficientThe following calculation method can be adopted:
。
the corrected calculation formula is as follows 。
Obtaining a third correction value corresponding to the analog deformation of any position in each unit based on the corrected calculation formula。
Referring to FIG. 5, for example, the physical quantity of a one-dimensional two-node-at-a-time unit is calculated asBecause the deviation between the actually measured deformation and the simulated deformation is larger, the method corrects the shape function and the original expression/>、The value is related to the shape function, and the corrected shape function is needed to be substituted into the shape function to obtain new/>、/>Obtaining the value of the calculated expression/>, of the unit physical quantity after the bridge state is reconstructed。
As shown in FIG. 6, the physical quantity of a one-dimensional secondary three-node unit is expressed asBecause the deviation of the actually measured deformation and the simulated deformation is larger, the method corrects the shape function, and the/> of the original expression、/>、/>The value is related to the shape function, and the corrected shape function is substituted to obtain a new value/>、/>、/>Obtaining a calculated expression/>, of the unit physical quantity after bridge state reconstruction. Wherein/>、/>、/>Coefficients are calculated for each term of the expression.
In the embodiment of the present application, in step S140, the first correction value and the second correction value, or the measured value and the third correction value of each physical quantity are compared with the structural limit value corresponding to each physical quantity, so as to determine the bridge state.
And comparing the first correction value and the second correction value or the actually measured deformation and the third correction value obtained based on the steps with the deformation safety limit value of the cable-stayed bridge to determine the bridge state. The related content may be in the prior art and will not be described in any additional detail herein.
In an embodiment of the present application, the mentioned model, such as a bridge finite element simulation model, may be an existing model or a model with parameters adjusted by the existing model. Finite element simulation analysis may be performed using MIDAS software or ABAQUS software, for example.
Furthermore, finite element analysis results typically exhibit a result cloud, a visualization technique for exhibiting a magnitude distribution of the analysis results. The resulting cloud is typically composed of a series of points, each representing the stress value of a finite element, the size and color of which can be used to represent the magnitude and direction of the stress. Typically, the color of a cloud will range from blue to red, indicating a magnitude from low to high. The first and second correction values, or the third correction value, may be displayed by a state cloud diagram to visually display the magnitude distribution.
Based on the above description, according to the processing method 100 of the embodiment of the present application, when the bridge measurement point position to be actually measured is selected, the corresponding physical state distribution characteristics of the structure, the field arrangement conditions and the unit division condition of the bridge finite element simulation model are simultaneously considered, so that the actual measurement value of each physical quantity based on the bridge measurement point position is more convenient and accurate, the association relationship between the actual measurement value and the analog value is established, and then the relevant analog value is corrected and reconstructed based on the actual measurement value, so as to obtain each physical quantity reference value in the global scope of the more reliable and real bridge structure, and realize more accurate bridge state analysis.
Referring to fig. 7, an electronic device 200 provided in another aspect of the present application is described next. The electronic device 200 is used to implement the processing method according to the embodiment of the present application.
The electronic device 200 may include a first acquisition module 210, a second acquisition module 220, a correction module 230, and a determination module 240.
Specifically, the first obtaining module 210 is configured to obtain measured values of each physical quantity of the bridge measurement point positions that simultaneously correspond to the distribution characteristics of the bridge structure corresponding to each physical quantity for representing the bridge state and the convenient field arrangement conditions.
The second obtaining module 220 is configured to divide the bridge finite element simulation model into finite units corresponding to positions of all bridge measurement points by using a grid, and obtain a first analog value corresponding to each physical quantity at each node; and acquiring a second analog value corresponding to each physical quantity at any position in each unit based on the first analog value.
The correction module 230 is configured to correct the first analog value and the second analog value by using a first correction coefficient if the deviation result is not greater than a threshold value, obtain the first correction value and the second correction value respectively, correct the calculation formula by using a second correction coefficient if the deviation result is greater than the threshold value, and obtain a third correction value corresponding to each physical quantity at any position in each unit based on the corrected calculation formula based on the deviation result compared with the first analog value corresponding to each physical quantity at the corresponding node.
The determining module 240 is configured to compare the first corrected value and the second corrected value, or the measured value and the third corrected value of each physical quantity with the structural limit value corresponding to each physical quantity, and determine the bridge status.
The above exemplarily shows the processing method 100 according to an embodiment of the present application. The bridge state reconstruction processing apparatus 300 based on finite awareness according to another aspect of the present application is described below with reference to fig. 8.
An example processing apparatus 300 for implementing the processing method of the embodiment of the present invention is described with reference to fig. 8.
The analysis device 300 may include one or more processors 321, one or more memories 322, and may also include an input device 323 and an output device 324, interconnected by a bus system 325 and/or other form of connection mechanism (not shown). It should be noted that the components and configuration of the processing device 300 shown in fig. 8 are exemplary only and not limiting, as the device may have other components and configurations as desired.
The processor 321 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the processing device 300 to perform desired functions.
The memory 322 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that can be executed by the processor 321 to implement client functionality and/or other desired functionality in the embodiments of the invention described herein (implemented by the processor). Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer readable storage medium.
The input device 323 may be a device used by a user to input instructions, and may include one or more of a keyboard, a mouse, a microphone, a touch screen, and the like. In addition, the input device 323 may be any interface for receiving information.
The output device 324 may output various information (e.g., images or sounds) to the outside (e.g., a user), and may include one or more of a display, a speaker, and the like. In addition, the output device 324 may be any other device having an output function.
For example, the example processing apparatus 300 for implementing the processing method 100 according to the embodiment of the present application may be applied to an electronic device such as a terminal device (e.g., a mobile phone), a tablet computer, a notebook computer, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a handheld computer, a netbook, a personal digital assistant (personal DIGITAL ASSISTANT, PDA), a wearable device (e.g., a smart watch, smart glasses, or a smart helmet, etc.), an augmented reality (augmented reality, AR)/virtual reality (virtualreality, VR) device, a smart home device, a vehicle computer, etc., which is not limited in this embodiment of the present application.
Referring to fig. 8, a processing apparatus 300 according to an embodiment of the present application includes a processor 321 and a memory 322, the memory 322 storing an executable program that is executed by the processor 321, and when executed by the processor 321, causes the processor 321 to execute the processing method 100 according to the embodiment of the present application described above. Those skilled in the art will understand the specific operation of the analysis device according to the embodiments of the present application in conjunction with the foregoing description, and for brevity, only some of the main operations of the processor 321 will be described without further details.
In one embodiment of the present application, the executable program, when executed by the processor 321, causes the processor 321 to perform the steps of: the method is used for obtaining the measured values of the physical quantities of the bridge measuring point positions which simultaneously accord with the distribution characteristics of the bridge structure corresponding to the physical quantities used for representing the bridge state and the convenient site arrangement conditions. Dividing the bridge finite element simulation model into finite units corresponding to all bridge measuring point positions by utilizing grids, and obtaining first simulation values corresponding to physical quantities at each node; and acquiring a second analog value corresponding to each physical quantity at any position in each unit based on the first analog value. And the deviation result is used for comparing the measured value of each physical quantity at the bridge measuring point position with the first analog value corresponding to each physical quantity at the corresponding node, if the deviation result is not greater than the threshold value, the first analog value and the second analog value are corrected by adopting the first correction coefficient, the first correction value and the second correction value are respectively obtained, and if the deviation result is greater than the threshold value, the calculation formula is corrected by adopting the second correction coefficient, and the third correction value corresponding to each physical quantity at any position in each unit is obtained by adopting the corrected calculation formula. And the bridge state is determined by comparing the first correction value and the second correction value or the measured value and the third correction value of each physical quantity with the structural limit value corresponding to each physical quantity.
In one embodiment of the present application, the executable program, when executed by the processor 321, causes the processor 321 to further perform the steps of: determining a first correction coefficient，
Wherein,Represents the/>Importance weight coefficient of the bridge measuring point position;
the first analog value and the second analog value are each directly multiplied by a first correction coefficient A first correction value and a second correction value are obtained, respectively.
In one embodiment of the present application, the executable program, when executed by the processor 321, causes the processor 321 to further perform the steps of:
determining a second correction coefficient ，
；
Determining a modified calculation formula。
Furthermore, according to an embodiment of the present application, there is provided a storage medium on which a computer program is stored, which computer program, when being executed by a processor, is adapted to carry out the respective steps of the processing method 100 of an embodiment of the present application. The storage medium may include, for example, a memory card of a smart phone, a memory component of a tablet computer, a hard disk of a personal computer, read-only memory (ROM), erasable programmable read-only memory (EPROM), portable compact disc read-only memory (CD-ROM), USB memory, or any combination of the foregoing storage media. The computer-readable storage medium may be any combination of one or more computer-readable storage media.
Furthermore, according to an embodiment of the present application, there is provided a computer program for executing the respective steps of the processing method 100 of an embodiment of the present application when the computer program is run by a processor.
Based on the above description, according to the processing method 100 of the embodiment of the present application, by inputting limited measured measurement point data, a correction relationship is established by using a physical magnitude shape function established by a numerical simulation method, so as to achieve the purpose of reconstructing the bridge state, so that the calculation result has real data as a support, and is closer to the real situation. The full-bridge distribution condition of the physical quantity to be measured is reconstructed by a single correction coefficient or a correction shape function mode, and the physical quantity reference value of any spatial position of the structure to be measured can be obtained relatively truly and accurately.
Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the above illustrative embodiments are merely illustrative and are not intended to limit the scope of the present application thereto. Various changes and modifications may be made therein by one of ordinary skill in the art without departing from the scope and spirit of the application. All such changes and modifications are intended to be included within the scope of the present application as set forth in the appended claims.
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 solution. 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 application.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, e.g., the division of the elements is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple elements or components may be combined or integrated into another device, or some features may be omitted or not performed.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in order to streamline the application and aid in understanding one or more of the various inventive aspects, various features of the application are sometimes grouped together in a single embodiment, figure, or description thereof in the description of exemplary embodiments of the application. However, the method of the present application should not be construed as reflecting the following intent: i.e., the claimed application requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this application.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be combined in any combination, except combinations where the features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the application and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
Various component embodiments of the application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functions of some of the modules according to embodiments of the present application may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present application can also be implemented as an apparatus program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present application may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The application may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
The foregoing description is merely illustrative of specific embodiments of the present application and the scope of the present application is not limited thereto, and any person skilled in the art can easily think about variations or substitutions within the scope of the present application. The protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. The bridge state reconstruction processing method based on limited perception is characterized by comprising the following steps of:
Obtaining measured values of all physical quantities of bridge measuring point positions which simultaneously accord with the distribution characteristics of the bridge structure corresponding to all physical quantities used for representing the bridge state and the convenient site arrangement conditions;
Dividing the bridge finite element simulation model into finite units corresponding to all bridge measuring point positions by utilizing grids, and obtaining first simulation values corresponding to physical quantities at each node, wherein a common point among the units is called a node; acquiring a second analog value corresponding to each physical quantity at any position in each unit based on the first analog value by using the following calculation formula The calculation formula is as follows:
Wherein, For the first analog value corresponding to each physical quantity at each node,/>A shape function corresponding to each node;
Based on the deviation result of comparing the measured value of each physical quantity of the bridge measuring point position with the first analog value corresponding to each physical quantity at the corresponding node, if the deviation result is not greater than the threshold value, correcting the first analog value and the second analog value by using a first correction coefficient to obtain a first correction value and a second correction value respectively, and if the deviation result is greater than the threshold value, correcting the calculation formula by using a second correction coefficient Correcting, namely obtaining a third correction value corresponding to each physical quantity at any position in each unit based on a corrected calculation formula;
And comparing the first correction value and the second correction value with the structural limit value corresponding to each physical quantity, or comparing the measured value of each physical quantity of the bridge measuring point position and the third correction value with the structural limit value corresponding to each physical quantity, and determining the bridge state.
2. The method according to claim 1, further comprising obtaining a deviation result of comparing each measured value of the physical quantity of the bridge site position with a first analog value corresponding to each physical quantity at the corresponding nodeWherein/>Represents the/>And (5) measuring actual measurement values of all physical quantities at the bridge measuring point positions.
3. The processing method according to claim 1 or 2, wherein correcting the first analog value and the second analog value with the first correction coefficient to obtain the first correction value and the second correction value, respectively, includes:
determining a first correction coefficient ，
Wherein,Represents the/>Importance weight coefficient of the bridge measuring point position;
the first analog value and the second analog value are each directly multiplied by a first correction coefficient A first correction value and a second correction value are obtained, respectively.
4. The processing method according to claim 1, wherein the calculation formula is calculated using a second correction coefficientCorrecting, and obtaining a third corrected value/>, corresponding to each physical quantity at any position in each unit, based on the corrected calculation formulaComprising:
determining a second correction coefficient ，
；
Determining a modified calculation formula。
5. The method according to claim 1, wherein the obtaining of the measured values of each physical quantity of the bridge measuring point position specifically means:
And arranging corresponding sensors at the bridge measuring point positions for actual measurement, and directly or indirectly obtaining actual measurement values of all physical quantities to be measured.
6. The method of claim 1 or 5, wherein the first and second or third modified values are further displayed by a state cloud to visually display the magnitude distribution.
7. The method of processing of claim 6, further comprising building a bridge finite element simulation model, comprising:
and establishing a bridge finite element simulation model based on the original bridge design drawing data.
8. The method according to claim 1, wherein the bridge measuring point position comprises a maximum stress section, a maximum deformation position and a maximum temperature measuring point, and the physical quantities for representing the bridge state comprise deformation quantity, stress, temperature and strain.
9. Bridge state reconstruction processing device based on limited perception, characterized in that the processing device comprises:
A memory for storing computer executable instructions;
a processor for implementing the processing method of any one of claims 1 to 8 when executing computer executable instructions stored in said memory.
10. A computer readable storage medium storing computer executable instructions which, when executed by a processor, implement the processing method of any one of claims 1 to 8.
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