CN113252260A - Bridge bearing fault detection method based on indirect modal identification and related components - Google Patents
Bridge bearing fault detection method based on indirect modal identification and related components Download PDFInfo
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Abstract
The invention discloses a bridge support fault detection method based on indirect modal identification and a related component, wherein a vibration response signal of a bridge when a mobile detection device passes through the bridge at a constant speed can be obtained, so that a processor can obtain the current modal frequency of the bridge with the same order as the number of bridge supports, the current stiffness of each support of the bridge is determined according to the corresponding relation between each order modal parameter of the bridge and the stiffness of each support, and the fault condition of each support of the bridge is determined based on the initial stiffness and the current stiffness of the bridge. Therefore, the method does not need to manually detect the supports of the bridge one by one, only controls the mobile detection device to obtain the vibration response signal of the bridge through the bridge, and determines the fault condition of each support of the bridge after processing the vibration response signal, so that the safety problem during manual detection is solved, the detection result is more accurate, and the detection efficiency of the support of the bridge is improved.
Description
Technical Field
The invention relates to the field of bridge detection, in particular to a bridge bearing fault detection method based on indirect modal identification and a related component.
Background
In order to avoid the situation that the bridge is empty, the support is deviated or the support is over-pressurized, and the vehicle runs on the bridge with a large potential safety hazard, whether the bridge has the problem is generally detected, the detection mode in the prior art is generally manual detection, but when the position of the bridge is in a place where manual detection is inconvenient, whether the bridge has the problem cannot be detected accurately by a person, the bridge still has the large potential safety hazard, the danger coefficient of the manual detection is high, and the personal safety of a detection worker is greatly threatened.
Disclosure of Invention
The invention aims to provide a bridge bearing fault detection method based on indirect modal identification and related components, which can obtain vibration response signals of a bridge by controlling a mobile detection device through the bridge without manually detecting each bearing of the bridge one by one, so that the fault condition of each bearing of the bridge is determined after the vibration response signals are processed, the safety problem in manual detection is solved, the detection result is more accurate, and the detection efficiency of the bridge bearing is improved.
In order to solve the technical problem, the invention provides a bridge bearing fault detection method based on indirect modal identification, which comprises the following steps:
controlling a mobile detection device to pass through a bridge at a constant speed, and receiving a vibration response signal of the bridge detected by the mobile detection device;
performing fast Fourier transform on the vibration response signal to obtain the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports;
determining each order modal frequency when a plurality of different preset rigidities are respectively given to each support of the bridge based on the design parameters of the bridge;
determining a corresponding relation between the modal frequency of each order of the bridge and the rigidity of each support of the bridge based on the modal frequency of each order and a plurality of different preset rigidities respectively given to each support of the bridge;
substituting the current modal frequency of each order into the corresponding relation to determine the current rigidity of each support of the bridge;
and determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge.
Preferably, before determining the damage condition of each support of the bridge based on the initial stiffness and the current stiffness of the bridge, the method includes:
establishing a finite element model of each support of the bridge when no diseases exist based on the design parameters of the bridge;
determining the initial stiffness of each support of the bridge based on the finite element model.
Preferably, after controlling the movement detection device to pass through the bridge at a constant speed and receiving the vibration response signal of the bridge detected by the movement detection device, the method further includes:
performing short-time Fourier transform or continuous wavelet transform on the vibration response signal to obtain the current modal shape of the bridge;
establishing a finite element model of each support of the bridge when no diseases exist based on the design parameters of the bridge;
calculating an initial modal shape of the bridge based on the finite element model;
comparing the current modal shape with the initial modal shape, and judging whether each support of the bridge has a fault or not based on a comparison result;
if the bridge support is in the original state, determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge;
and if not, judging that the supports of the bridge have no diseases.
Preferably, before performing short-time fourier transform or continuous wavelet transform on the vibration response signal to obtain the current modal shape of the bridge, the method further includes:
performing enhancement and noise reduction reconstruction processing on the vibration response signal to obtain the processed vibration response signal;
performing short-time fourier transform or continuous wavelet transform on the vibration response signal to obtain the current modal shape of the bridge, including:
and carrying out short-time Fourier transform or continuous wavelet transform on the processed vibration response signal to obtain the current mode shape of the bridge.
Preferably, before performing fast fourier transform on the vibration response signal to obtain a current modal frequency of the bridge, and the order of the current modal frequency is equal to the number of the bridge supports, the method further includes:
performing enhancement and noise reduction reconstruction processing on the vibration response signal to obtain the processed vibration response signal;
performing fast Fourier transform on the vibration response signal to acquire the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports, and the method comprises the following steps:
and performing fast Fourier transform on the processed vibration response signal to acquire the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports.
Preferably, the movement detection device comprises a movement detection device and an acceleration sensor arranged on the movement detection device;
the acceleration sensor is used for detecting a vibration response signal of the bridge.
Preferably, determining the damage condition of each support of the bridge based on the initial stiffness and the current stiffness of the bridge comprises:
determining the difference value of the initial stiffness of each support of the bridge minus the current stiffness of each support of the bridge, and calculating the ratio of each difference value divided by the initial stiffness of the corresponding support;
when the ratio is zero, judging that the support corresponding to the ratio has no diseases;
when the ratio is larger than zero but smaller than a preset ratio, judging that the support corresponding to the ratio has a disease, but the disease of the support corresponding to the ratio is smaller than a preset disease degree;
and when the ratio is not less than the preset ratio, judging that the support corresponding to the ratio has a disease, judging that the disease of the support corresponding to the ratio is not less than the preset disease degree, and prompting a user that the support corresponding to the ratio needs to be replaced.
In order to solve the technical problem, the invention provides a bridge bearing fault detection system based on indirect modal identification, which comprises:
the control unit is used for controlling the mobile detection device to pass through the bridge at a constant speed and receiving a vibration response signal of the bridge detected by the mobile detection device;
the data processing unit is used for carrying out fast Fourier transform on the vibration response signal so as to obtain the current modal frequency of the bridge, and the order of the current modal frequency is equal to the number of the bridge supports;
the first determining unit is used for determining modal frequencies of each order when a plurality of different preset rigidities are respectively given to each support of the bridge based on the design parameters of the bridge;
the second determining unit is used for determining the corresponding relation between the modal frequency of each order of the bridge and the rigidity of each support of the bridge based on the modal frequency of each order and a plurality of different preset rigidities respectively given to each support of the bridge;
the third determining unit is used for substituting the current modal frequency of each order into the corresponding relation so as to determine the current rigidity of each support of the bridge;
and the fourth determining unit is used for determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge.
In order to solve the technical problem, the invention provides a bridge bearing fault detection device based on indirect modal identification, which comprises:
a memory for storing a computer program;
and the processor is used for realizing the steps of the bridge bearing fault detection method based on indirect modal identification when executing the computer program.
The application provides a bridge support fault detection method based on indirect modal identification and a related component, wherein a vibration response signal of a bridge when a mobile detection device passes through the bridge at a constant speed can be obtained, so that a processor can obtain the current modal frequency of the bridge with the order equal to the number of bridge supports, the current stiffness of each support of the bridge is determined according to the corresponding relation between each order modal parameter of the bridge and the stiffness of each support, and the fault condition of each support of the bridge is determined based on the initial stiffness and the current stiffness of the bridge. Therefore, the method does not need to manually detect the supports of the bridge one by one, only controls the mobile detection device to obtain the vibration response signal of the bridge through the bridge, and determines the fault condition of each support of the bridge after processing the vibration response signal, so that the safety problem during manual detection is solved, the detection result is more accurate, and the detection efficiency of the support of the bridge is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed in the prior art and the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart of a bridge support fault detection method based on indirect modal identification and related components according to the present invention;
FIG. 2 is a schematic structural diagram of a bridge support fault detection system based on indirect modal identification according to the present invention;
fig. 3 is a schematic structural diagram of a bridge support disease detection device based on indirect modal identification provided by the invention.
Detailed Description
The core of the invention is to provide a bridge support fault detection method based on indirect modal identification and related components, which can acquire vibration response signals of a bridge only by controlling a mobile detection device through the bridge without manually detecting each support of the bridge one by one, so as to determine the fault condition of each support of the bridge after processing the vibration response signals, solve the safety problem during manual detection, ensure more accurate detection result and improve the detection efficiency of the bridge support.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic flow chart of a bridge bearer fault detection method based on indirect modal identification and related components provided by the present invention, where the method includes:
s11: controlling the mobile detection device to pass through the bridge at a constant speed, and receiving a vibration response signal of the bridge detected by the mobile detection device;
the applicant considers that with the gradual advance of infrastructure construction in China, the business mileage of railways in China reaches 13.9 kilometers by 2019, wherein the mileage of high-speed rails exceeds 3.5 kilometers. Bridges are mostly adopted to replace roads in the high-speed railway, so that the occupation ratio of the bridge in the high-speed railway is up to more than 90%. Under the conditions of continuous speed increase of high-speed railway bridges, continuous increase of bridge load and severe environment, the health condition of the high-speed railway bridges plays a crucial role in safe operation of railways. The problems of overpressure, deviation, void and the like of the support can be caused in the operation process of the bridge, and how to quickly detect the problems of the support of the high-speed rail bridge is an urgent need to be solved in the high-speed rail operation and management and maintenance of China.
At present, mostly detect about high-speed railway bridge support disease is manual detection, and the pier of high-speed railway bridge often is higher, carries out manual detection and has the potential safety hazard. For some high-speed railway bridges limited by river, lake, sea and terrain environment conditions, detection personnel cannot reach the top of a bridge pier to detect the support diseases, the defects of insufficient detection of the support diseases and the like exist, and the comprehensive investigation of the support diseases cannot be guaranteed. Therefore, the manual detection cannot timely detect whether the support has diseases or not, the real-time performance of the detection is poor, and the manual detection cannot timely find the potential safety hazards of the support and give an early warning to workers.
In order to solve the technical problem, the mobile detection device is controlled to operate on the bridge firstly, and then the vibration response signal of the bridge sent by the mobile detection device is received, so that the vibration response signal of the bridge can be obtained without manual detection on the bridge, and compared with manual detection, the mobile detection device can obtain more accurate vibration response signal of the bridge, so that the detection result of the bridge is more accurate.
The support in the present application is an important structural component connecting a bridge and a pier, and is an important force transmission device for a bridge, which can transmit load and deformation borne by the bridge to the pier.
S12: performing fast Fourier transform on the vibration response signal to obtain the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of bridge supports;
in order to obtain the current modal frequency of the bridge, the vibration response signal is subjected to fast fourier transform in the application.
It should be noted that the order of the current modal frequency is equal to the number of the bridge supports, so that the fault condition of each support can be determined according to the modal frequency of each order.
S13: determining modal frequencies of each order when a plurality of different preset rigidities are respectively given to each support of the bridge based on the design parameters of the bridge;
s14: determining a corresponding relation between each order of modal frequency of the bridge and the rigidity of each support of the bridge based on each order of modal frequency and a plurality of different preset rigidities respectively given to each support of the bridge;
s15: substituting the current modal frequency of each order into the corresponding relation to determine the current rigidity of each support of the bridge;
the method further comprises the step of determining the current rigidity of each bridge through the corresponding relation between the modal frequency of each order of the bridge and the rigidity of each support of the bridge based on the current modal frequency.
Specifically, when the corresponding relation between the modal frequency of each order of the bridge and the rigidity of each support of the bridge is determined based on the modal frequency of each order of the bridge and a plurality of different preset rigidities respectively given to each support of the bridge, j different rigidities K are given to i supports based on the design parameters of the bridgeijThen sequentially solving different KijThe modal frequency and the modal shape of the lower bridge.
According to different KijAnd corresponding modal frequency of the bridge, and fitting the modal frequency of the bridge and the i support stiffness K when the support is damaged by using ORIGIN softwarediThe functional relationship between the two is shown as the following formula, and the modal frequency omega of each order of the bridgenIs about the rigidity K of i supports of a bridgediThe multivariate function of (a):
ωn=fn（Kd1，Kd2，···Kdn）
obtaining the current modal frequency of each step of the bridge and the current rigidity K of the i supports of the bridge by using the obtained current modal frequency of the bridge and the corresponding relationdiThe current stiffness of each mount can be found as follows:
when the damage conditions of n supports need to be determined, the current modal frequency of n orders can be calculated and substituted into the formula, so that the current rigidity of the n supports is determined, and if the damage conditions of all the supports need to be determined, the current modal frequency of i orders, namely n = i, is calculated, so that the current rigidity of all the supports is determined. For example, when only the fault condition of one support and the fault conditions of the remaining i-1 supports, that is, the current stiffness, are determined, the current modal frequency of only one order can be calculated, substituted into the above formula, and the current stiffness of the support is determined based on the current stiffness of the remaining i-1 supports.
It should be noted that the corresponding relationship between the modal frequency of the bridge and the stiffness of each support of the bridge may be determined based on the design parameters of the bridge.
S16: and determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge.
After the current rigidity of each support of the bridge is obtained, the damage condition of each support, such as whether a damage occurs and the degree of the damage, can be determined based on the current rigidity and the initial rigidity of the support, so that the staff can perform corresponding treatment.
The support is a bearing defect which has the greatest influence on the stress of the bridge structure, the use safety and the stress of the bridge are seriously influenced, and the support can be caused by the conversion of a bridge structure system and the unevenness and the cracking of a support base stone. When one support is empty, the load borne by the support is distributed to other supports, so that the load of other supports is increased, other diseases such as overpressure bias of other supports are caused, the stress of a beam body is uneven, and the structure is adversely affected.
The support deviation is the most common problem in the use of the support, and the serious support deviation can lead the support to be in a shearing state for a long time, influence the service life of the support, lead the bridge not to be deformed normally and horizontally and lead the structure to generate additional internal force.
Overpressure of the support saddle is that the force transmitted by the support saddle exceeds the designed bearing capacity of the support saddle due to partial support saddle emptying or other reasons, and the deformation of the support saddle exceeds the maximum deformation capacity of the support saddle. The overpressure of the support is mainly caused by the fact that the delivery quality and the installation quality of the support do not meet the requirements. The quality problem of the support is caused by the design and manufacture of the support are not strict.
It should be noted that the damage condition of the bridge bearing can also be judged through the damping ratio.
Therefore, based on the current modal frequency detected by the mobile detection device, the damage condition of the bridge support is evaluated by combining the initial rigidity of the bridge support, all the supports of the bridges in the whole area can be detected regularly or regularly through the mobile detection device, and a scientific decision basis is provided for health monitoring, timely replacement and management of the bridge support.
In addition, when the movement detection device passes through the bridge, a force which is perpendicular to the ground and faces downwards is applied to the bridge, so that the finally obtained current rigidity of each support is the rigidity which faces downwards perpendicular to the ground, and the bridge, the supports and the piers are sequentially connected from top to bottom.
In conclusion, the method in the application does not need manual detection on the supports of the bridge one by one, only controls the mobile detection device to obtain the vibration response signals of the bridge through the bridge, and determines the defect condition of each support of the bridge after processing the vibration response signals, so that the safety problem during manual detection is solved, the detection result is more accurate, and the mobile detection device can pass through a large number of bridges in a short time, thereby greatly improving the detection efficiency of the supports of the bridge.
On the basis of the above-described embodiment:
as a preferred embodiment, before determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge, the method comprises the following steps:
establishing a finite element model of each support of the bridge when no diseases exist based on the design parameters of the bridge;
and determining the initial rigidity of each support of the bridge based on the finite element model.
Before determining the damage condition of each support, the initial stiffness of each support is required to be determined, and when the initial stiffness of each support is determined, the initial stiffness of each support can be determined by establishing a finite element model of the bridge support when the bridge support is free of the damage, so that the damage condition of each support can be determined in the following process.
It should be noted that ANSYS finite element software can be adopted to establish a space finite element model of the bridge when no support damage exists.
As a preferred embodiment, after controlling the movement detection device to pass through the bridge at a constant speed and receiving the vibration response signal of the bridge detected by the movement detection device, the method further includes:
carrying out short-time Fourier transform or continuous wavelet transform on the vibration response signal to obtain the current mode shape of the bridge;
establishing a finite element model of each support of the bridge when no diseases exist based on the design parameters of the bridge;
calculating the initial modal shape of the bridge based on the finite element model;
comparing the current modal shape with the initial modal shape, and judging whether each support of the bridge has a disease or not based on the comparison result;
if the bridge support has the fault condition, determining the fault condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge;
and if not, judging that the supports of the bridge have no diseases.
In this embodiment, before the damage condition of each support is judged through the current stiffness and the initial stiffness of each support, whether each support of the bridge has a damage or not can be determined by comparing the current modal shape and the initial modal shape.
Specifically, the applicant performs short-time fourier transform or continuous wavelet transform on the vibration response signal detected by the mobile detection device to obtain the current mode shape of the bridge, so as to determine whether each support of the bridge has a fault in the following process, thereby reducing the subsequent calculation amount.
As a preferred embodiment, before performing short-time fourier transform or continuous wavelet transform on the vibration response signal to obtain the current mode shape of the bridge, the method further includes:
performing enhancement and noise reduction reconstruction processing on the vibration response signal to obtain a processed vibration response signal;
carrying out short-time Fourier transform or continuous wavelet transform on the vibration response signal to obtain the current mode shape of the bridge, wherein the method comprises the following steps:
and carrying out short-time Fourier transform or continuous wavelet transform on the processed vibration response signal to obtain the current modal shape of the bridge.
In the method, the vibration response signal sent by the mobile detection device is subjected to enhancement and denoising reconstruction processing to obtain the processed vibration response signal, namely a noiseless vibration response signal, and then the processed vibration response signal is subjected to short-time Fourier transform or continuous wavelet transform to obtain the current modal shape of the bridge, so that whether each support of the bridge has a disease or not is judged in the following process, and the subsequent calculation amount is reduced.
As a preferred embodiment, before the step of performing fast fourier transform on the vibration response signal to obtain the current modal frequency of the bridge, and the order of the current modal frequency is equal to the number of the bridge supports, the method further includes:
performing enhancement and noise reduction reconstruction processing on the vibration response signal to obtain a processed vibration response signal;
carrying out fast Fourier transform on the vibration response signal to obtain the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports, and the method comprises the following steps:
and performing fast Fourier transform on the processed vibration response signal to acquire the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports.
In the embodiment, when the current stiffness of each support is determined, the current modal frequency of the bridge needs to be determined, and in consideration of the fact that noise exists in the vibration response signal detected by the mobile detection device and influences the final judgment result, the applicant performs enhancement and noise reduction reconstruction processing on the vibration response signal sent by the mobile detection device to obtain the processed vibration response signal, namely, the noiseless vibration response signal, and then performs fast fourier transform on the processed vibration response signal to obtain the current modal frequency of the preset order of the bridge.
In the present application, the vibration response signal may be subjected to enhancement processing by, but not limited to, VMD (variable Mode Decomposition).
It should be noted that the order of the current modal frequency in the present application may be the number of the supports of the disease condition that needs to be determined currently, so as to determine the current stiffness of each support.
As a preferred embodiment, the movement detection means includes movement detection means and an acceleration sensor provided on the movement detection means;
the acceleration sensor is used for detecting a vibration response signal of the bridge.
The movement detection device in this embodiment includes a movement detection vehicle and an acceleration sensor disposed on the movement detection vehicle, and the movement detection vehicle may operate on the bridge to give an excitation to the bridge, so that the acceleration sensor detects the current modal frequency of the bridge.
As a preferred embodiment, the method for determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge comprises the following steps:
determining the difference value of the initial stiffness of each support of the bridge minus the current stiffness of each support of the bridge, and calculating the ratio of each difference value divided by the initial stiffness of the corresponding support;
when the ratio is zero, judging that the support corresponding to the ratio has no diseases;
when the ratio is larger than zero but smaller than the preset ratio, judging that the support corresponding to the ratio has a disease, but the disease of the support corresponding to the ratio is smaller than the preset disease degree;
when the ratio is not smaller than the preset ratio, judging that the support corresponding to the ratio has a disease, and prompting a user that the support corresponding to the ratio needs to be replaced, wherein the disease of the support corresponding to the ratio is not smaller than the preset disease degree.
In this embodiment, when determining the damage condition of each support of the bridge, the damage condition may be determined by the following formula: beta is ai=（Koi- Kdi）/ Koi
Wherein, betaiIs a loss index of the ith support on the bridge, KoiIs the first on a bridgeinitial stiffness of i bearers, KdiThe current stiffness of the ith bearing on the bridge.
The specific manner of judging the disease condition of each support is as follows:
(1) when damage index betaiWhen the height is more than or equal to 1, the support of the bridge is completely emptied, and the support needs to be replaced;
(2) when the damage index is not less than 0.5 and not more than betaiWhen the stress is less than 1, the local stress of the bridge bearing is obviously reduced, careful inspection is needed, and corresponding treatment measures are considered;
(3) when the damage index is 0 < betaiWhen the stress is less than 0.5, the stress of the bridge bearing is reduced, and the state monitoring strength is increased;
(4) when damage index betaiWhen the bearing is not less than 0, the bearing is consistent with the design, no diseases are generated on the bearing, and the actual state of the bearing is good;
(5) when the damage index is-0.5 ≤ betaiWhen the stress is less than 0, the stress of the bridge support is increased, and the support state is continuously monitored;
(6) when damage index betaiWhen the stress is less than-0.5, the local stress of the support is obviously increased, whether the adjacent support is damaged or not is checked, and corresponding treatment measures are considered.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a bridge bearer fault detection system based on indirect modal identification, which includes:
the control unit 21 is used for controlling the mobile detection device to pass through the bridge at a constant speed and receiving a vibration response signal of the bridge detected by the mobile detection device;
the data processing unit 22 is configured to perform fast fourier transform on the vibration response signal to obtain a current modal frequency of the bridge, where the order of the current modal frequency is equal to the number of bridge supports;
a first determining unit 23, configured to determine, based on design parameters of the bridge, modal frequencies of respective orders when a plurality of different preset rigidities are respectively given to respective supports of the bridge;
a second determining unit 24, configured to determine, based on each order of modal frequency and a plurality of different preset rigidities respectively given to each support of the bridge, a corresponding relationship between each order of modal frequency of the bridge and a rigidity of each support of the bridge;
a third determining unit 25, configured to substitute the current modal frequency of each order into the corresponding relationship, so as to determine the current stiffness of each support of the bridge;
and the fourth determining unit 26 is used for determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge.
For the introduction of the system for detecting a bridge support fault based on indirect modal identification provided by the present invention, please refer to the above method embodiment, which is not described herein again.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a bridge support fault detection apparatus based on indirect mode identification, which includes:
a memory 31 for storing a computer program;
and a processor 32, configured to implement the steps of the bridge bearing fault detection method based on indirect mode identification as described above when executing the computer program.
For the introduction of the bridge support fault detection device based on indirect modal identification provided by the present invention, please refer to the above method embodiment, and the present invention is not described herein again.
The computer readable storage medium of the present invention stores a computer program, and the computer program is executed by the processor 32 to implement the steps of the method for detecting a bridge bearing fault based on indirect mode identification as described above.
For the introduction of the computer-readable storage medium provided by the present invention, please refer to the above method embodiments, which are not repeated herein.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. A bridge bearing fault detection method based on indirect modal identification is characterized by comprising the following steps:
controlling a mobile detection device to pass through a bridge at a constant speed, and receiving a vibration response signal of the bridge detected by the mobile detection device;
performing fast Fourier transform on the vibration response signal to obtain the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports;
determining each order modal frequency when a plurality of different preset rigidities are respectively given to each support of the bridge based on the design parameters of the bridge;
determining a corresponding relation between the modal frequency of each order of the bridge and the rigidity of each support of the bridge based on the modal frequency of each order and a plurality of different preset rigidities respectively given to each support of the bridge;
substituting the current modal frequency of each order into the corresponding relation to determine the current rigidity of each support of the bridge;
and determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge.
2. The method for detecting bridge bearing faults based on indirect modal identification of claim 1, wherein before determining the fault condition of each bearing of the bridge based on the initial stiffness and the current stiffness of the bridge, the method comprises:
establishing a finite element model of each support of the bridge when no diseases exist based on the design parameters of the bridge;
determining the initial stiffness of each support of the bridge based on the finite element model.
3. The method for detecting diseases on bridge supports based on indirect modal identification as claimed in claim 1, wherein after controlling a mobile detection device to pass through a bridge at a constant speed and receiving a vibration response signal of the bridge detected by the mobile detection device, the method further comprises:
performing short-time Fourier transform or continuous wavelet transform on the vibration response signal to obtain the current modal shape of the bridge;
establishing a finite element model of each support of the bridge when no diseases exist based on the design parameters of the bridge;
calculating an initial modal shape of the bridge based on the finite element model;
comparing the current modal shape with the initial modal shape, and judging whether each support of the bridge has a fault or not based on a comparison result;
if the bridge support is in the original state, determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge;
and if not, judging that the supports of the bridge have no diseases.
4. The method for detecting a bridge bearing fault based on indirect mode identification according to claim 3, wherein before performing short-time Fourier transform or continuous wavelet transform on the vibration response signal to obtain the current mode shape of the bridge, the method further comprises:
performing enhancement and noise reduction reconstruction processing on the vibration response signal to obtain the processed vibration response signal;
performing short-time fourier transform or continuous wavelet transform on the vibration response signal to obtain the current modal shape of the bridge, including:
and carrying out short-time Fourier transform or continuous wavelet transform on the processed vibration response signal to obtain the current mode shape of the bridge.
5. The method for detecting bridge bearing faults based on indirect modal identification of claim 1, wherein before the order of the current modal frequency is equal to the number of the bridge bearings, the method further comprises:
performing enhancement and noise reduction reconstruction processing on the vibration response signal to obtain the processed vibration response signal;
performing fast Fourier transform on the vibration response signal to acquire the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports, and the method comprises the following steps:
and performing fast Fourier transform on the processed vibration response signal to acquire the current modal frequency of the bridge, wherein the order of the current modal frequency is equal to the number of the bridge supports.
6. The bridge bearing fault detection method based on indirect modal identification of claim 1, wherein the movement detection device comprises a movement detection device and an acceleration sensor arranged on the movement detection device;
the acceleration sensor is used for detecting a vibration response signal of the bridge.
7. The method for detecting bridge bearing faults based on indirect modal identification of any one of claims 1 to 6, wherein determining the fault condition of each bearing of the bridge based on the initial stiffness and the current stiffness of the bridge comprises:
determining the difference value of the initial stiffness of each support of the bridge minus the current stiffness of each support of the bridge, and calculating the ratio of each difference value divided by the initial stiffness of the corresponding support;
when the ratio is zero, judging that the support corresponding to the ratio has no diseases;
when the ratio is larger than zero but smaller than a preset ratio, judging that the support corresponding to the ratio has a disease, but the disease of the support corresponding to the ratio is smaller than a preset disease degree;
and when the ratio is not less than the preset ratio, judging that the support corresponding to the ratio has a disease, judging that the disease of the support corresponding to the ratio is not less than the preset disease degree, and prompting a user that the support corresponding to the ratio needs to be replaced.
8. The utility model provides a bridge beam supports disease detection system based on indirect mode discernment which characterized in that includes:
the control unit is used for controlling the mobile detection device to pass through the bridge at a constant speed and receiving a vibration response signal of the bridge detected by the mobile detection device;
the data processing unit is used for carrying out fast Fourier transform on the vibration response signal so as to obtain the current modal frequency of the bridge, and the order of the current modal frequency is equal to the number of the bridge supports;
the first determining unit is used for determining modal frequencies of each order when a plurality of different preset rigidities are respectively given to each support of the bridge based on the design parameters of the bridge;
the second determining unit is used for determining the corresponding relation between the modal frequency of each order of the bridge and the rigidity of each support of the bridge based on the modal frequency of each order and a plurality of different preset rigidities respectively given to each support of the bridge;
the third determining unit is used for substituting the current modal frequency of each order into the corresponding relation so as to determine the current rigidity of each support of the bridge;
and the fourth determining unit is used for determining the damage condition of each support of the bridge based on the initial rigidity and the current rigidity of the bridge.
9. The utility model provides a bridge beam supports disease detection device based on indirect mode discernment which characterized in that includes:
a memory for storing a computer program;
a processor for implementing the steps of the method for bridge bearing fault detection based on indirect modal identification according to any one of claims 1 to 7 when executing the computer program.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102507248A (en) * | 2011-11-09 | 2012-06-20 | 上海同豪土木工程咨询有限公司 | Method for testing whether bridge bearing has void |
| CN104655385A (en) * | 2014-12-31 | 2015-05-27 | 中国铁路总公司 | Railroad bridge substructure health status quantitative evaluation method |
| CN104834805A (en) * | 2015-02-27 | 2015-08-12 | 重庆大学 | Building damage evaluation method based on simplified cantilever beam |
| CN106120545A (en) * | 2016-08-24 | 2016-11-16 | 中铁二院工程集团有限责任公司 | A kind of method utilizing beam body to improve anti-seismic performance of beam bridge |
| CN107238479A (en) * | 2017-06-08 | 2017-10-10 | 北京交通大学 | A kind of assembling type girder bridge military service safe condition fast evaluation method of uninterrupted traffic |
| CN107727338A (en) * | 2017-06-01 | 2018-02-23 | 重庆大学 | A kind of bridge damnification diagnostic method based on Vehicle-Bridge Coupling System |
| JP2018031676A (en) * | 2016-08-24 | 2018-03-01 | 公益財団法人鉄道総合技術研究所 | Method for inspecting structural performance of railroad bridge |
| CN112229355A (en) * | 2020-12-14 | 2021-01-15 | 湖南大学 | Bridge movement detection method and system based on signal processing and trailer response |
-
2021
- 2021-06-24 CN CN202110703683.7A patent/CN113252260B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102507248A (en) * | 2011-11-09 | 2012-06-20 | 上海同豪土木工程咨询有限公司 | Method for testing whether bridge bearing has void |
| CN104655385A (en) * | 2014-12-31 | 2015-05-27 | 中国铁路总公司 | Railroad bridge substructure health status quantitative evaluation method |
| CN104834805A (en) * | 2015-02-27 | 2015-08-12 | 重庆大学 | Building damage evaluation method based on simplified cantilever beam |
| CN106120545A (en) * | 2016-08-24 | 2016-11-16 | 中铁二院工程集团有限责任公司 | A kind of method utilizing beam body to improve anti-seismic performance of beam bridge |
| JP2018031676A (en) * | 2016-08-24 | 2018-03-01 | 公益財団法人鉄道総合技術研究所 | Method for inspecting structural performance of railroad bridge |
| CN107727338A (en) * | 2017-06-01 | 2018-02-23 | 重庆大学 | A kind of bridge damnification diagnostic method based on Vehicle-Bridge Coupling System |
| CN107238479A (en) * | 2017-06-08 | 2017-10-10 | 北京交通大学 | A kind of assembling type girder bridge military service safe condition fast evaluation method of uninterrupted traffic |
| CN112229355A (en) * | 2020-12-14 | 2021-01-15 | 湖南大学 | Bridge movement detection method and system based on signal processing and trailer response |
Non-Patent Citations (1)
| Title |
|---|
| 乔振: "基于固有频率变化率的桥梁支座病害识别技术的研究", 《中国优秀博硕士学位论文全文数据库(硕士)工程科技Ⅱ辑》 * |
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