CN116839659A - Method and system for identifying damage of girder of bridge girder erection machine - Google Patents
Method and system for identifying damage of girder of bridge girder erection machine Download PDFInfo
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- CN116839659A CN116839659A CN202310744438.XA CN202310744438A CN116839659A CN 116839659 A CN116839659 A CN 116839659A CN 202310744438 A CN202310744438 A CN 202310744438A CN 116839659 A CN116839659 A CN 116839659A
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- 238000000034 method Methods 0.000 title claims abstract description 56
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- 230000004927 fusion Effects 0.000 claims abstract description 30
- 238000004088 simulation Methods 0.000 claims abstract description 27
- 230000004044 response Effects 0.000 claims abstract description 24
- 238000003745 diagnosis Methods 0.000 claims abstract description 15
- 238000005259 measurement Methods 0.000 claims abstract description 13
- 230000009466 transformation Effects 0.000 claims abstract description 12
- 238000004590 computer program Methods 0.000 claims description 14
- 230000006870 function Effects 0.000 claims description 14
- 230000035772 mutation Effects 0.000 claims description 10
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- 238000000354 decomposition reaction Methods 0.000 claims description 7
- 239000000835 fiber Substances 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 5
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- 238000012544 monitoring process Methods 0.000 claims description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/10—Pre-processing; Data cleansing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2131—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on a transform domain processing, e.g. wavelet transform
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
Abstract
The embodiment of the application provides a method and a system for identifying damage to a girder of a bridge girder erection machine, wherein the method for identifying the damage to the girder of the bridge girder erection machine comprises the following steps: measuring and calculating strain data, acceleration data, deflection data and inclination data of a girder of the bridge girder erection machine; taking the response difference of the acceleration data as an input signal, and utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine; constructing damage identification fusion indexes aiming at damage positions in the damage positions of the girder of the bridge girder erection machine, wherein the damage identification fusion indexes are fused based on strain data and deflection data; analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on a finite element model; and identifying the damage degree of the damaged part in the girder of the bridge girder erection machine according to the comparison of the numerical simulation result and the actual measurement result, so that the integral damage identification of the girder of the bridge girder erection machine is conveniently carried out based on the data of multiple dimensions, and the damage identification accuracy of the girder of the bridge girder erection machine is improved.
Description
Technical Field
The application relates to the technical field of damage identification, in particular to a method and a system for identifying damage of a girder of a bridge girder erection machine.
Background
Along with the development of science and technology, the bridge girder erection machine is applied to the construction industry, and is used for erecting a highway prestressed reinforced concrete simply supported beam sheet, and the machine belongs to a single-arm simply supported beam (a T beam, a box beam and an I beam), and is used for erecting a large-span simply supported beam (a T beam, a box beam and an I beam), and can be used for erecting a straight bridge and an inclined bridge as well as erecting a curve bridge, wherein the bridge girder erection machine is provided with a girder and is used as a support body of the bridge girder, the girder is damaged to different extents under long-term use, in the prior art, damage based on the girder of the bridge girder erection machine is mainly identified based on single deflection data, a mutation area is observed in a deflection influence line, and the damage position is determined, however, damage identification accuracy of the girder of the existing bridge girder erection machine is lower based on single-dimension detection.
Disclosure of Invention
The embodiment of the application provides a method and a system for identifying the damage of a girder of a bridge girder erection machine, which further realize the damage identification of the girder structure of the bridge girder erection machine based on acquired strain data, acceleration data, deflection data and inclination data at least to a certain extent, so that the integral damage identification of the girder of the bridge girder erection machine based on data of multiple dimensions is facilitated, and the damage identification accuracy of the girder of the bridge girder erection machine is improved.
Other features and advantages of the application will be apparent from the following detailed description, or may be learned by the practice of the application.
According to an aspect of the embodiment of the application, there is provided a method for identifying damage to a girder of a bridge girder erection machine, including:
arranging a plurality of measuring devices on the bottom of the girder of the bridge girder erection machine along the longitudinal direction, and measuring and calculating strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine;
taking the response difference of the acceleration data as an input signal, and utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine;
constructing damage identification fusion indexes aiming at damage positions in the damage positions of the girder of the bridge girder erection machine, wherein the damage identification fusion indexes are fused based on strain data and deflection data;
analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on a finite element model;
and identifying the damage degree of the damaged part in the girder of the bridge girder erection machine according to the comparison of the numerical simulation result and the actual measurement result.
In some embodiments of the present application, the performing a damage diagnosis by using the response difference of the acceleration data as an input signal and using wavelet transformation to develop a multi-scale analysis to obtain an identification parameter, so as to primarily identify a damage position of a girder of the bridge girder erection machine includes:
acquiring response difference of acceleration data;
carrying out Gaussian filtering noise reduction treatment on the response difference of the acceleration data;
db4 is selected as a wavelet basis function, the number of decomposition layers is 3, and wavelet decomposition is carried out on the acceleration response difference;
reconstructing the signal according to the N-th layer low-frequency coefficient decomposed by the wavelet packet and the high-frequency coefficient quantized by each of the 1 st to N layers to obtain the signal;
comparing and analyzing wavelet coefficient components of each layer, and selecting the component which can most obviously reflect damage;
and drawing a wavelet coefficient effect graph, and taking the maximum value of the wavelet mode as the damaged position of the girder of the bridge girder erection machine to primarily identify the damaged position of the girder of the bridge girder erection machine.
In some embodiments of the present application, the damage-recognition fusion index fuses based on strain data and deflection data, including:
the damage identification fusion index is formed based on the strain influence line and the deflection influence line.
In some embodiments of the application, the method comprises:
I ε ＝[I ε1 ,I ε2 …I εi …I εn ]
in the method, in the process of the application,represents the area surrounded by the strain and load position relation curve measured by the ith long-gauge fiber grating strain sensor before damage, < + >>The area surrounded by the strain and load position relation curve measured by the ith long-gauge-length fiber bragg grating strain sensor after damage is represented, and the damage index I is when the girder of the bridge girder erection machine is in a nondestructive state ε Zero; when damage occurs to a position of the bridge girder erection machine, the structural rigidity is reduced, and the I of a sensor nearest to the damage ε The value will have a large mutation, and the damage position will be identified according to the result.
In some embodiments of the application, the deflection effect line comprises:
I w ＝[I w1 ,I w2 …I wi …I wn ]
in the method, in the process of the application,representing the area surrounded by the girder deflection and load position relation curve measured by the ith deflection measuring point before damage,/for the girder>The area surrounded by the girder deflection and load position relation curve measured by the ith deflection measuring point after damage is represented, and the damage index I is obtained when the girder of the bridge girder erection machine is in a nondestructive state w Zero; when damage occurs to a position of the bridge girder erection machine, the structural rigidity is reduced, and the I of the measuring point closest to the damage is reduced w The value will have a large mutation, and the damage position will be identified according to the result.
In some embodiments of the application, the method further comprises deflection affecting line curvature; two indexes for evaluating the damage of the main beam can be established based on the deflection influence line and the curvature of the deflection influence line;
I c ＝[I c1 ,I c2 …I ci …I cn ]
in (ΔCi) max The amplitude value (delta Ci) of the curvature of the main girder deflection influence line measured by the ith deflection measuring point before damage is represented max Representing the amplitude of the curvature of the deflection difference function before and after damage; damage index I when girder of bridge girder erection machine is in nondestructive state c Zero; when damage occurs to a part of the girder of the bridge girder erection machine, the structural rigidity is reduced, and the I of the measuring point closest to the damage is reduced w The value will have a large mutation, and the damage position will be identified according to the result.
In some embodiments of the present application, the constructing a damage identification fusion index for a damage part in a damage position of a girder of a bridge girder erection machine, where the damage identification fusion index is fused based on strain data and deflection data, further includes:
fusing damage identification indexes based on strain and deflection, and comprehensively and accurately setting the damage position and damage degree of the girder of the bridge girder erection machine; sigma (sigma) εi k 、σ wi k 、σ ci k Standard deviation of corresponding index under k monitoring;
I t ＝[I t1 ,I t2 …I ti …I tn ]
I ti ＝λ εi k I εi +λ wi k I wi +λ ci k I ci 。
in some embodiments of the application, the method further comprises:
according to an aspect of the embodiment of the present application, there is provided a damage identification system for a girder of a bridge girder erection machine, including:
the measuring module is used for arranging a plurality of measuring devices on the bottom of the girder of the bridge girder erection machine along the longitudinal direction and measuring and calculating strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine;
the diagnosis module is used for taking the response difference of the acceleration data as an input signal, utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for carrying out damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine;
the index module is used for constructing damage identification fusion indexes aiming at damage positions in the damage positions of the girder of the bridge girder erection machine, and at the moment, the damage identification fusion indexes are fused based on the strain data and the deflection data;
the simulation module is used for analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on the finite element model;
and the identification module is used for identifying the damage degree of the damaged part in the girder of the bridge girder erection machine according to the comparison of the numerical simulation result and the actual measurement result.
According to an aspect of the embodiments of the present application, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method for identifying damage to a girder of a bridge girder erection machine as described in the above embodiments.
According to an aspect of an embodiment of the present application, there is provided an electronic apparatus including: one or more processors; and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize the damage identification method of the girder of the bridge girder erection machine.
According to an aspect of embodiments of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the damage identification method of the girder of the bridge girder erection machine provided in the above embodiment.
In the technical scheme provided by some embodiments of the application, a plurality of measuring devices are arranged at the bottom of the girder of the bridge girder erection machine along the longitudinal direction, and strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine are measured and calculated; taking the response difference of the acceleration data as an input signal, and utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine; constructing damage identification fusion indexes aiming at damage positions in the damage positions of the girder of the bridge girder erection machine, wherein the damage identification fusion indexes are fused based on strain data and deflection data; analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on a finite element model; according to the comparison of the numerical simulation result and the actual measurement result, the damage degree of the damaged part in the girder of the bridge girder erection machine is identified, at this time, in the process of hoisting components of the bridge girder erection machine, the damage identification of the girder structure of the bridge girder erection machine is carried out based on the obtained strain data, acceleration data, deflection data and inclination data, so that the integral damage identification of the girder of the bridge girder erection machine is carried out based on the data of multiple dimensions, and the damage identification accuracy of the girder of the bridge girder erection machine is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. It is evident that the drawings in the following description are only some embodiments of the present application and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art. In the drawings:
FIG. 1 is a flow chart of a method for identifying damage to a girder of a bridge girder erection machine according to an embodiment of the present application;
FIG. 2 shows a schematic flow chart of S120 in FIG. 1;
FIG. 3 illustrates a block diagram of a damage identification system for a girder of a bridge girder erection machine, according to an embodiment of the present application;
fig. 4 shows a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the application may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known methods, devices, implementations, or operations are not shown or described in detail to avoid obscuring aspects of the application.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
Fig. 1 is a flow chart schematically illustrating a method for identifying damage to a girder of a bridge girder erection machine according to an embodiment of the present application. The method can be applied to the girder of the bridge girder erection machine.
Referring to fig. 1 to 4, the method for identifying the damage of the girder of the bridge girder erection machine at least includes steps S110 to S150, which are described in detail as follows:
in step S110, a plurality of measuring devices are arranged along the longitudinal direction on the bottom of the girder of the bridge girder erection machine, and strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine are measured and calculated.
The bottom of the girder of the bridge girder erection machine is provided with a plurality of measuring devices along the longitudinal direction, in order to measure and calculate the strain data of the girder of the bridge girder erection machine, the girder of the bridge girder erection machine is arranged by adopting a long-gauge FBG sensor, and the long-gauge FBG sensor is used for measuring and calculating the strain data of the girder of the bridge girder erection machine.
In order to measure and calculate acceleration data of the girder of the bridge girder erection machine, the girder of the bridge girder erection machine is arranged by adopting an accelerometer, the accelerometer measures and calculates strain data of the girder of the bridge girder erection machine, and at the moment, the arrangement mode of the accelerometer is the same as that of the long-gauge FBG sensor and is positioned at the bottom of the girder of the bridge girder erection machine.
In order to measure deflection data of a main beam of the bridge girder erection machine, a photoelectric image measuring instrument is adopted to measure the main beam of the bridge girder erection machine, deflection is measured by the photoelectric image measuring instrument, and target paper with gray scale characteristics is selected for deflection measuring points and is adhered to the side face of the main beam of the bridge girder erection machine.
In order to measure and calculate the inclination angle data of the girder of the bridge girder erection machine, an inclination angle sensor is used for measuring and calculating the inclination angle data of the girder of the bridge girder erection machine, and is arranged near the support of the bridge girder erection machine and used for verifying the deflection of the girder.
At the moment, the damage identification is carried out on the girder of the bridge girder erection machine from multiple dimensions through the strain data, the acceleration data, the deflection data and the inclination data of the girder of the bridge girder erection machine, and the integral damage identification is conveniently carried out on the girder of the bridge girder erection machine based on the data of the multiple dimensions, so that the accuracy of the damage identification of the girder of the bridge girder erection machine is improved.
In step S120, the response difference of the acceleration data is used as an input signal, and the recognition parameters obtained by the multi-scale analysis are expanded by wavelet transformation to perform damage diagnosis, so as to primarily recognize the damage position of the girder of the bridge girder erection machine.
The method comprises the steps of carrying out response difference operation on acceleration data, taking the response difference of the acceleration data as an input signal, utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for carrying out damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine, and primarily identifying the damage position of the girder of the bridge girder erection machine on the aspect of the acceleration data so as to further identify the position in the damage position of the girder of the bridge girder erection machine.
The specific steps are as follows:
step S121, acquiring response difference of acceleration data;
step S122, gaussian filtering noise reduction processing is carried out on the response difference of the acceleration data;
s123, selecting db4 as a wavelet basis function, wherein the number of decomposition layers is 3, and performing wavelet decomposition on the acceleration response difference;
step S124, reconstructing the signal according to the N-th layer low-frequency coefficient decomposed by the wavelet packet and the high-frequency coefficient quantized and processed by each of the 1 st to N layers to obtain the signal;
step S125, comparing and analyzing wavelet coefficient components of each layer, and selecting the component which can most obviously reflect damage;
and S126, drawing a wavelet coefficient effect diagram, and taking the maximum value of the wavelet mode as the damaged position of the girder of the bridge girder erection machine so as to primarily identify the damaged position of the girder of the bridge girder erection machine.
Specifically, the response difference of the acceleration data is subjected to gaussian filtering noise reduction processing so as to reduce noise, and the acceleration response difference is subjected to wavelet decomposition in a wavelet basis function, and is further operated.
At this time, reconstructing the signal according to the N-th layer low-frequency coefficient decomposed by the wavelet packet and the high-frequency coefficient quantized by each of the 1 st to N layers to obtain the signal; comparing and analyzing wavelet coefficient components of each layer, and selecting the component which can most obviously reflect damage; and drawing a wavelet coefficient effect graph, and taking the maximum value of the wavelet mode as the damaged position of the girder of the bridge girder erection machine to primarily identify the damaged position of the girder of the bridge girder erection machine.
In step S130, a damage identification fusion index is constructed for the damaged portion in the damaged position of the girder of the bridge girder erection machine, and at this time, the damage identification fusion index is fused based on the strain data and the deflection data.
In the embodiment of the application, the damaged part in the damaged position of the girder of the bridge girder erection machine is further analyzed, and the depth analysis is performed by combining the damage identification fusion index, and at the moment, the damage identification fusion index is fused based on the strain data and the deflection data.
Forming a damage identification fusion index based on the strain influence line and the deflection influence line;
I ε ＝[I ε1 ,I ε2 …I εi …I εn ]
in the method, in the process of the application,represents the area surrounded by the strain and load position relation curve measured by the ith long-gauge fiber grating strain sensor before damage, < + >>The area surrounded by the strain and load position relation curve measured by the ith long-gauge-length fiber bragg grating strain sensor after damage is represented, and the damage index I is when the girder of the bridge girder erection machine is in a nondestructive state ε Zero; when damage occurs to a position of the bridge girder erection machine, the structural rigidity is reduced, and the I of a sensor nearest to the damage ε The value will have a large mutation, and the damage position will be identified according to the result.
In addition, the deflection influence line includes:
I w ＝[I w1 ,I w2 …I wi …I wn ]
in the method, in the process of the application,representing the area surrounded by the girder deflection and load position relation curve measured by the ith deflection measuring point before damage,/for the girder>The area surrounded by the girder deflection and load position relation curve measured by the ith deflection measuring point after damage is represented, and the damage index I is obtained when the girder of the bridge girder erection machine is in a nondestructive state w Zero; when damage occurs to a position of the bridge girder erection machine, the structural rigidity is reduced, and the I of the measuring point closest to the damage is reduced w The value will have a large mutation, and the damage position will be identified according to the result.
The method further includes deflection affecting line curvature; two indexes for evaluating the damage of the main beam can be established based on the deflection influence line and the curvature of the deflection influence line;
I c ＝[I c1 ,I c2 …I ci …I cn ]
in (ΔCi) max The amplitude value (delta Ci) of the curvature of the main girder deflection influence line measured by the ith deflection measuring point before damage is represented max Representing the amplitude of the curvature of the deflection difference function before and after damage; damage index I when girder of bridge girder erection machine is in nondestructive state c Zero; when damage occurs to a part of the girder of the bridge girder erection machine, the structural rigidity is reduced, and the I of the measuring point closest to the damage is reduced w The value will have a larger mutation, and the damage position is identified according to the result
At the moment, fusing damage identification indexes based on strain and deflection, and comprehensively and accurately obtaining the damage position and damage degree of the girder of the bridge girder erection machine; sigma (sigma) εi k 、σ wi k 、σ ci k Standard deviation of corresponding index under k monitoring;
I t ＝[I t1 ,I t2 …I ti …I tn ]
I ti ＝λ εi k I εi +λ wi k I wi +λ ci k I ci
therefore, damage identification indexes of strain and deflection are fused, the damage position and damage degree of the girder of the bridge girder erection machine are comprehensively and accurately monitored, sudden changes are monitored in the deflection influence line and the curvature of the deflection influence line, when damage occurs to a part of the girder of the bridge girder erection machine, structural rigidity is reduced, iw values of points closest to the damage are subjected to sudden changes, and the damage position is identified according to the result.
In step S140, numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions are analyzed based on the finite element model.
In the embodiment of the application, the finite element model is established based on the previous data, at this time, the finite element model is established for ABAQUS, the ABAQUS is utilized to establish the finite element model, and the conditions of the established damage recognition fusion indexes under different damage working conditions of the girder of the bridge girder erection machine are analyzed, so that the numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions are analyzed based on the finite element model.
And according to the analysis of the finite element model on the damage working conditions of the main beams of the bridge girder erection machine, outputting the numerical simulation results of the main beams of the bridge girder erection machine under the different damage working conditions, and identifying the damage degree of the damaged parts in the main beams of the bridge girder erection machine through the comparison of the numerical simulation results and the actual measurement results.
In step S150, the damage degree of the damaged portion in the girder of the bridge girder erection machine is identified according to the comparison between the numerical simulation result and the actual measurement result.
The numerical simulation result is compared with the actual measurement result, and a difference value is determined based on the numerical simulation result and the actual measurement result, so that a standard difference value range table is conveniently determined according to the difference value, corresponding damage degree is conveniently determined in the difference value range table, the damage degree of a damaged part in the girder of the bridge girder erection machine is identified through the comparison of the numerical simulation result and the actual measurement result, and optionally, the damage degree is classified according to actual conditions, and A, B, C levels are respectively used, and are not limited.
In the technical scheme provided by some embodiments of the application, a plurality of measuring devices are arranged at the bottom of the girder of the bridge girder erection machine along the longitudinal direction, and strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine are measured and calculated; taking the response difference of the acceleration data as an input signal, and utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine; constructing damage identification fusion indexes aiming at damage positions in the damage positions of the girder of the bridge girder erection machine, wherein the damage identification fusion indexes are fused based on strain data and deflection data; analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on a finite element model; according to the comparison of the numerical simulation result and the actual measurement result, the damage degree of the damaged part in the girder of the bridge girder erection machine is identified, at this time, in the process of hoisting components of the bridge girder erection machine, the damage identification of the girder structure of the bridge girder erection machine is carried out based on the obtained strain data, acceleration data, deflection data and inclination data, so that the integral damage identification of the girder of the bridge girder erection machine is carried out based on the data of multiple dimensions, and the damage identification accuracy of the girder of the bridge girder erection machine is improved.
The following describes an embodiment of the device of the present application, which may be used to implement the method for identifying damage to a girder of a bridge girder erection machine according to the above embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to an embodiment of the method for identifying damage to a girder of a bridge girder erection machine.
FIG. 3 illustrates a block diagram of a damage identification system for a girder of a bridge girder erection machine, according to an embodiment of the present application.
Referring to fig. 3, a damage recognition system for a girder of a bridge girder erection machine according to an embodiment of the present application includes:
the measuring module 210 is used for arranging a plurality of measuring devices on the bottom of the girder of the bridge girder erection machine along the longitudinal direction and measuring and calculating strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine;
the diagnosis module 220 is configured to use the response difference of the acceleration data as an input signal, and perform a damage diagnosis by using a wavelet transformation to develop a multi-scale analysis to obtain an identification parameter, so as to primarily identify a damage position of the girder of the bridge girder erection machine;
the index module 230 is configured to construct a damage identification fusion index for a damage part in a damage position of the girder of the bridge girder erection machine, and at this time, the damage identification fusion index is fused based on strain data and deflection data;
the simulation module 240 is used for analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on a finite element model;
the identifying module 250 is configured to identify the damage degree of the damaged portion in the girder of the bridge girder erection machine according to the comparison between the numerical simulation result and the actual measurement result.
In one embodiment of the present application, there is also provided an electronic device including:
one or more processors;
and the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors are enabled to realize the damage identification method of the girder of the bridge girder erection machine.
In one example, FIG. 4 illustrates a schematic diagram of a computer system suitable for use in implementing an embodiment of the application.
It should be noted that, the computer system of the electronic device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the application scope of the embodiments of the present application.
As shown in fig. 3, the computer system includes a central processing unit (Central Processing Unit, CPU) 301 (i.e., a processor as described above) that can perform various appropriate actions and processes, such as performing the methods described in the above embodiments, according to a program stored in a Read-Only Memory (ROM) 302 or a program loaded from a storage section 308 into a random access Memory (Random Access Memory, RAM) 303. It should be understood that RAM303 and ROM302 are just described as storage devices. In the RAM303, various programs and data required for the system operation are also stored. The CPU 301, ROM302, and RAM303 are connected to each other through a bus 304. An Input/Output (I/O) interface 305 is also connected to bus 304.
The following components are connected to the I/O interface 305: an input section 306 including a keyboard, a mouse, and the like; an output portion 307 including a Cathode Ray Tube (CRT), a liquid crystal display (Liquid Crystal Display, LCD), and the like, a speaker, and the like; a storage section 308 including a hard disk or the like; and a communication section 309 including a network interface card such as a LAN (Local Area Network ) card, a modem, or the like. The communication section 309 performs communication processing via a network such as the internet. The drive 310 is also connected to the I/O interface 305 as needed. A removable medium 311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 310 as needed, so that a computer program read therefrom is installed into the storage section 308 as needed.
In particular, according to embodiments of the present application, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising a computer program for performing the method shown in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 309, and/or installed from the removable medium 311. When executed by a Central Processing Unit (CPU) 301, performs the various functions defined in the system of the present application.
It should be noted that, the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-Only Memory (ROM), an erasable programmable read-Only Memory (Erasable Programmable Read Only Memory, EPROM), flash Memory, an optical fiber, a portable compact disc read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with a computer-readable computer program embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Where each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be provided in a processor. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable medium that may be contained in the electronic device described in the above embodiment; or may exist alone without being incorporated into the electronic device. The computer-readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the methods described in the above embodiments.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, and includes several instructions to cause a computing device (may be a personal computer, a server, a touch terminal, or a network device, etc.) to perform the method according to the embodiments of the present application.
Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains.
It is to be understood that the application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. The method for identifying the damage of the girder of the bridge girder erection machine is characterized by comprising the following steps of:
arranging a plurality of measuring devices on the bottom of the girder of the bridge girder erection machine along the longitudinal direction, and measuring and calculating strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine;
taking the response difference of the acceleration data as an input signal, and utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine;
constructing damage identification fusion indexes aiming at damage positions in the damage positions of the girder of the bridge girder erection machine, wherein the damage identification fusion indexes are fused based on strain data and deflection data;
analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on a finite element model;
and identifying the damage degree of the damaged part in the girder of the bridge girder erection machine according to the comparison of the numerical simulation result and the actual measurement result.
2. The method according to claim 1, wherein the step of performing damage diagnosis by using the response difference of the acceleration data as an input signal and using wavelet transformation to develop a multi-scale analysis to obtain identification parameters, so as to primarily identify the damage position of the girder of the bridge girder erection machine, comprises:
acquiring response difference of acceleration data;
carrying out Gaussian filtering noise reduction treatment on the response difference of the acceleration data;
db4 is selected as a wavelet basis function, the number of decomposition layers is 3, and wavelet decomposition is carried out on the acceleration response difference;
reconstructing the signal according to the N-th layer low-frequency coefficient decomposed by the wavelet packet and the high-frequency coefficient quantized by each of the 1 st to N layers to obtain the signal;
comparing and analyzing wavelet coefficient components of each layer, and selecting the component which can most obviously reflect damage;
and drawing a wavelet coefficient effect graph, and taking the maximum value of the wavelet mode as the damaged position of the girder of the bridge girder erection machine to primarily identify the damaged position of the girder of the bridge girder erection machine.
3. The method of claim 1, wherein the damage-recognition fusion index is fused based on strain data and deflection data, comprising:
the damage identification fusion index is formed based on the strain influence line and the deflection influence line.
4. A method according to claim 3, characterized in that the method comprises:
I ε ＝[I ε1 ,I ε2 …I εi …I εn ]
in the method, in the process of the application,represents the area surrounded by the strain and load position relation curve measured by the ith long-gauge fiber grating strain sensor before damage, < + >>The area surrounded by the strain and load position relation curve measured by the ith long-gauge-length fiber bragg grating strain sensor after damage is represented, and the damage index I is when the girder of the bridge girder erection machine is in a nondestructive state ε Zero; when damage occurs to a position of the bridge girder erection machine, the structural rigidity is reduced, and the I of a sensor nearest to the damage ε The value will have a large mutation, and the damage position will be identified according to the result.
5. A method according to claim 3, wherein the deflection influencing line comprises:
I w ＝[I w1 ,I w2 …I wi …I wn ]
in the method, in the process of the application,representing the area surrounded by the girder deflection and load position relation curve measured by the ith deflection measuring point before damage,/for the girder>The area surrounded by the girder deflection and load position relation curve measured by the ith deflection measuring point after damage is represented, and the damage index I is obtained when the girder of the bridge girder erection machine is in a nondestructive state w Zero; when damage occurs to a position of the bridge girder erection machine, the structural rigidity is reduced, and the I of the measuring point closest to the damage is reduced w The value will have a large mutation, and the damage position will be identified according to the result.
6. The method of claim 5, further comprising deflection affecting line curvature; two indexes for evaluating the damage of the main beam can be established based on the deflection influence line and the curvature of the deflection influence line;
I c ＝[I c1 ,I c2 …I ci …I cn ]
in (ΔCi) max The amplitude value (delta Ci) of the curvature of the main girder deflection influence line measured by the ith deflection measuring point before damage is represented max Representing the amplitude of the curvature of the deflection difference function before and after damage; damage index I when girder of bridge girder erection machine is in nondestructive state c Zero; when damage occurs to a part of the girder of the bridge girder erection machine, the structural rigidity is reduced, and the measuring point closest to the damage is measuredI w The value will have a large mutation, and the damage position will be identified according to the result.
7. The method of claim 6, wherein the constructing a damage identification fusion index for the damage location in the damage location of the girder of the bridge girder erection machine, at which time the damage identification fusion index is fused based on the strain data and the deflection data, further comprises:
fusing damage identification indexes based on strain and deflection, and comprehensively and accurately setting the damage position and damage degree of the girder of the bridge girder erection machine; sigma (sigma) εi k 、σ wi k 、σ ci k Standard deviation of corresponding index under k monitoring;
I t ＝[I t1 ,I t2 …I ti …I tn ]
I ti ＝λ εi k I εi +λ wi k I wi +λ ci k I ci 。
8. the method of claim 7, wherein the method further comprises:
9. the utility model provides a damage identification system of bridge crane girder which characterized in that includes:
the measuring module is used for arranging a plurality of measuring devices on the bottom of the girder of the bridge girder erection machine along the longitudinal direction and measuring and calculating strain data, acceleration data, deflection data and inclination data of the girder of the bridge girder erection machine;
the diagnosis module is used for taking the response difference of the acceleration data as an input signal, utilizing wavelet transformation to develop multi-scale analysis to obtain identification parameters for carrying out damage diagnosis so as to primarily identify the damage position of the girder of the bridge girder erection machine;
the index module is used for constructing damage identification fusion indexes aiming at damage positions in the damage positions of the girder of the bridge girder erection machine, and at the moment, the damage identification fusion indexes are fused based on the strain data and the deflection data;
the simulation module is used for analyzing numerical simulation results of the girder of the bridge girder erection machine under different damage working conditions based on the finite element model;
and the identification module is used for identifying the damage degree of the damaged part in the girder of the bridge girder erection machine according to the comparison of the numerical simulation result and the actual measurement result.
10. A computer readable medium having stored thereon a computer program, wherein the computer program when executed by a processor implements a method of identifying damage to a girder of a bridge girder erection machine as claimed in any one of claims 1 to 8.
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