CN111373252B - Bridge damage rapid detection method and related device - Google Patents
Bridge damage rapid detection method and related device Download PDFInfo
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- CN111373252B CN111373252B CN201980003531.7A CN201980003531A CN111373252B CN 111373252 B CN111373252 B CN 111373252B CN 201980003531 A CN201980003531 A CN 201980003531A CN 111373252 B CN111373252 B CN 111373252B
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Abstract
The embodiment of the application discloses a bridge damage rapid detection method and a related device, through the embodiment of the application, damage detection is carried out on a bridge according to vehicle body vibration response data of a bridge passing vehicle and preset evaluation conditions, and due to the fact that the vehicle body vibration response data of the bridge passing vehicle is easier to obtain and convenient to maintain, the rapidity and the portability of the bridge indirect damage identification method can be effectively improved.
Description
Technical Field
The application relates to the technical field of bridges, in particular to a bridge damage rapid detection method and a related device.
Background
The bridge damage detection means that the aim of detecting structural damage or degradation is achieved by utilizing a field nondestructive sensing technology and analyzing structural system characteristics including structural response, and reference is provided for use and maintenance work of a structure.
In the existing indirect detection method based on axle coupling, an acceleration sensor is arranged on a wheel of a bridge-crossing vehicle, and the dynamic characteristic of a bridge structure is extracted from the dynamic response information of the wheel of the bridge-crossing vehicle to identify the damage degree of the bridge structure.
Disclosure of Invention
The embodiment of the application provides a bridge damage rapid detection method and a related device, which can improve the rapidity and the portability of a bridge damage indirect identification method.
A first aspect of an embodiment of the present application provides a method for rapidly detecting a bridge damage, including:
obtaining body vibration response data of a bridge vehicle;
and carrying out damage detection on the bridge according to the vehicle body vibration response data and preset evaluation conditions.
A second aspect of the embodiments of the present application provides a bridge damage rapid detection system, including:
the vehicle body data acquisition module is used for acquiring vehicle body vibration response data of the bridge crossing vehicle;
and the detection module is used for carrying out damage detection on the bridge according to the vehicle body vibration response data and preset evaluation conditions.
A third aspect of an embodiment of the present application provides a terminal device, including: a processor and a memory;
the processor is connected with the memory, wherein the memory is used for storing program codes, and the processor is used for calling the program codes to execute the bridge damage rapid detection method.
A fourth aspect of the embodiments of the present application provides a computer-readable storage medium, where a computer program is stored, and the computer program is executed by a processor to implement the method for quickly detecting a bridge damage.
The fifth aspect of the embodiment of the present application provides a bridge BIM platform, which is configured to execute the bridge damage rapid detection method of the first aspect.
Through the embodiment of the application, the damage detection is carried out on the bridge according to the vehicle body vibration response data of the vehicle passing through the bridge and the preset evaluation condition, and the rapidity and the portability of the identification method for the indirect damage of the bridge can be effectively improved due to the fact that the vehicle body vibration response data of the vehicle passing through the bridge are easier to obtain and convenient to maintain.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings referred to in the embodiments or the background art of the present application will be briefly described below.
Fig. 1 is a scene schematic diagram of a method for rapidly detecting a bridge damage according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a method for rapidly detecting a bridge damage according to an embodiment of the present disclosure;
fig. 3 is a schematic model diagram of a method for rapidly detecting a bridge damage according to an embodiment of the present application;
FIG. 4 is a graph of amplitude-frequency characteristics of vehicle body and wheel vibrations;
fig. 5 is a schematic flow chart of a method for rapidly detecting a bridge damage according to an embodiment of the present application;
fig. 6 is a schematic flow chart of a method for rapidly detecting a bridge damage according to an embodiment of the present application;
fig. 7 is a schematic flow chart of a method for rapidly detecting a bridge damage according to an embodiment of the present application;
fig. 8 is a schematic diagram of a terminal device provided in an embodiment of the present application;
fig. 9 is a schematic structural diagram of a system for rapidly detecting a bridge damage according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a scene schematic diagram of a method for rapidly detecting a bridge damage according to an embodiment of the present application. As shown in fig. 1, after confirming that there is a correlation between the vibration response of the body of the bridge-crossing vehicle and the vibration response of the bridge, a portable sensing device 101 is installed on the body of the bridge-crossing vehicle 102 to obtain the vertical acceleration of the bridge-crossing vehicle 102 when passing through the midspan region of the bridge 103, and an initial characteristic deflection value is calculated according to the vertical acceleration and the transit time by combining the transit time required by the bridge-crossing vehicle 103 when passing through the midspan region; after repeating the above steps for multiple times, a plurality of initial characteristic deflection values can be obtained, then the plurality of initial characteristic deflection values are processed to obtain an average value of the plurality of initial characteristic deflection values as a characteristic deflection value, namely a vehicle body vibration response, finally, damage detection can be carried out on the bridge 103 according to the characteristic deflection value, and when the characteristic deflection value is greater than or equal to a preset characteristic deflection value, damage of the bridge 103 can be confirmed.
Through this application embodiment, the automobile body vibration response through the vehicle of passing a bridge carries out damage detection to the bridge, adopts this means, has promoted the convenience and the rapidity of the indirect detection method of bridge.
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating a method for rapidly detecting a bridge damage according to an embodiment of the present disclosure. As shown in fig. 2, it may include steps 201-202, which are detailed as follows:
201. obtaining body vibration response data of a bridge vehicle;
202. and carrying out damage detection on the bridge according to the vehicle body vibration response data and preset evaluation conditions.
Through this application embodiment, carry out damage detection to the bridge according to the automobile body vibration response data of the vehicle of passing a bridge and predetermine the aassessment condition, because the automobile body vibration response data of the vehicle of passing a bridge acquires more easily, easy maintenance, consequently, can effectively promote the rapidity and the portability of bridge indirect damage identification method.
Further, in order to study the relationship between the vehicle body vibration response and the bridge vibration response of the passing vehicle, referring to fig. 3, fig. 3 is a schematic model diagram of a method for rapidly detecting a bridge damage according to an embodiment of the present application, and a model of a bridge 301, a wheel 302 of the passing vehicle, and a vehicle body 303 of the passing vehicle, that is, a bridge-wheel-vehicle body coupling vibration model, is established according to the vehicle wheel and vehicle body vibration model and the passing vehicle wheel and bridge vibration model.
Aiming at the wheel of the bridge-crossing vehicle and the bridge vibration model, in the mechanical problem that the difference method is approximately established, the vibration of the bridge is in proportional relation with the vibration of the wheel of the vehicle, and the change of the bridge vibration response B caused by the bridge abnormity is responded from the vehicle wheel vibration response C 1 Are proportionally reflected.
B＝Q -1 C 1 Q (1-1)
Wherein B is a vibration response vector of the bridge, C 1 Q is a physical constant in the vehicle system that remains constant, such as stiffness, damping, and mass, for the wheel vibration response vector.
And regarding the relationship between the vehicle wheel vibration response and the vehicle body vibration response of the vehicle wheel and vehicle body vibration model, referring to fig. 4, fig. 4 is a graph of amplitude-frequency characteristics of the vehicle body and wheel vibration. Wherein g represents the vehicle vibration system body displacement response; f represents the wheel displacement response; the frequency ratio lambda is the excitation frequency w and the natural circular frequency w of the vehicle body 0 The ratio of the first to the second. It can be seen that:
the first frequency band is a low frequency band (lambda is more than or equal to 0 and less than or equal to 0.75). In the frequency band, the amplitude-frequency characteristic | g/f | of the vibration of the vehicle body and the wheels is approximate to 1, and the damping ratio has little influence on the frequency band.
The second frequency band being a resonance band
In the frequency band, amplitude-frequency characteristic | g/f | has peak value, and the input displacement is amplified, and the damping ratio ζ is increased to make the resonant peak obviously reduced.
The third frequency band is a high frequency band
When the temperature is higher than the set temperature
When the amplitude-frequency characteristic | g/f | =1, the damping ratio ζ is irrelevant; in that
Amplitude-frequency characteristics | g/f |<1, the vehicle body wheel system plays a remarkable role in attenuating input displacement.
Returning to the relationship between the vehicle body vibration response and the bridge vibration response of a passing vehicle, it can be seen from fig. 4 that when the wheel-body system vibrates in a low frequency band (0 ≦ λ ≦ 0.75), the amplitude-frequency characteristic | g/f | of the wheel and the vehicle body is approximately 1, i.e., the amplitude ratio of the input and output harmonics of the system is approximately 1. So when the vehicle system is vibrating in the low frequency region, the wheel vibration response C as input 1 In response to vibration of the vehicle body C as output 2 Approximately equal.
Thus, theoretically, when the wheel-body system is in low-frequency band vibration, the change of the bridge vibration response B caused by the bridge structure abnormality can be derived from the vehicle body vibration response C 2 I.e., the vibrational response of the vehicle body is approximately equal to the vibrational response of the wheels.
B＝Q -1 C 1 Q＝Q -1 C 2 Q (2-1)
In the formula C 2 As a vehicle body vibration response vector, C 1 Is a wheel vibration response vector; and B is a bridge vibration response vector.
In this embodiment, before extracting bridge vibration response information caused by bridge structure abnormality by using the vehicle body vibration response of the passing vehicle, it is necessary to verify in advance whether the wheel-vehicle body system is in a low-frequency-band vibration state. That is to say, before vehicle body vibration response data of a bridge-crossing vehicle is acquired, referring to fig. 5, fig. 5 is a schematic flow chart of a method for rapidly detecting a bridge damage according to an embodiment of the present application, where the method further includes:
501. acquiring a bridge pavement excitation frequency and a vehicle body natural circle frequency of a vehicle passing through a bridge;
specifically, the bridge road surface excitation frequency w refers to the excitation frequency generated by the unevenness of the bridge road surface on the vehicle, and the natural circle frequency w of the vehicle body 0 Is not fixed and has direct relation with the structure of the vehicle body, and the majority of the structure is between 5.5HZ and 8.5 HZ.
502. Confirming the frequency ratio of the bridge pavement excitation frequency and the natural circle frequency of the vehicle body;
specifically, the road excitation frequency w and the natural circle frequency w of the vehicle body are set 0 The ratio of is taken as the frequency ratio λ.
503. And confirming that the correlation exists between the vehicle body vibration response of the bridge passing vehicle and the bridge vibration response under the condition that the frequency ratio is less than or equal to the preset frequency ratio, wherein the preset frequency ratio belongs to the low-frequency-band frequency ratio.
Specifically, the preset frequency ratio may be set according to actual needs, and the value range of the preset frequency ratio is a low-frequency-band frequency ratio, that is, any value between λ 0 and λ 0.75, if the preset frequency ratio is set to 0.75, it is necessary to determine whether the frequency ratio λ is less than or equal to 0.75, if so, it may be determined that a correlation exists between the vibration response of the vehicle body of the bridge crossing vehicle and the vibration response of the bridge, and the bridge may be damaged and detected by using the vibration response of the vehicle body of the bridge crossing vehicle.
With the present embodiment, the frequency ratio is obtained to determine the correlation existing between the vibration response of the body of the gap bridge vehicle and the vibration response of the bridge.
Further, the following specifically describes a method for obtaining a bridge deck pavement excitation frequency, and referring to fig. 6, fig. 6 is a schematic flow chart of a method for rapidly detecting a bridge damage provided in an embodiment of the present application, where step 501 includes:
601. acquiring a second vertical acceleration at the wheel position when the gap bridge vehicle passes through the bridge;
specifically, an acceleration signal of the vehicle in the whole driving process through the bridge is acquired by an acceleration sensor arranged on a wheel of the bridge vehicle and is taken as a second vertical acceleration.
602. Reconstructing according to the second vertical acceleration to obtain second vertical displacement;
specifically, a second vertical displacement is reconstructed from the second vertical acceleration.
603. Acquiring the unevenness of the bridge pavement according to the second vertical displacement;
specifically, the second vertical displacement is the absolute vertical displacement of the wheels of the passing vehicle, and the bridge road surface unevenness q (t) can be calculated according to the formula (3-1).
Wherein the content of the first and second substances,
wherein q (t) is the road surface unevenness of the running road surface of the automobile, f (t) is the absolute vertical displacement of the wheels, and omega 1 、ω 2 、ω 3 、ω 4 Is the natural angular frequency of the vibration system. F, G is a constant in the transfer function, m 1 As mass of the wheel, m 2 For vehicle body mass, k x Is the stiffness coefficient of the suspension system, k l Is the stiffness coefficient of the tire for the wheel.
604. And acquiring the bridge pavement excitation frequency according to the bridge pavement unevenness.
Specifically, the collected road surface unevenness q (t) is analyzed by using a Coriolis-Dutch method or a Blackman-Dutch method to obtain a corresponding road surface power spectrum, and then the type of the bridge road surface is determined according to the road surface power spectrum. Then, according to the vibration wavelength parameter table (table 1) of various pavements, the wavelength corresponding to the type of the bridge pavement can be obtained; and finally, according to a formula 4-1 for calculating the bridge pavement excitation frequency, finally determining the bridge pavement excitation frequency w.
Wherein w is the road excitation frequency, v is the vehicle running speed, L is the wavelength corresponding to the road unevenness, and n is the spatial frequency of the road unevenness, which is reciprocal to L.
TABLE 1
By the embodiment, the bridge road surface excitation frequency can be determined through the road surface unevenness.
Further, the vehicle body vibration response data comprises a characteristic deflection value, and the characteristic deflection value refers to the vehicle body vertical vibration response which is relatively not influenced by dynamic displacement caused by vibration characteristics of bridges and vehicles and road roughness. Referring to fig. 7, fig. 7 is a schematic flowchart of a method for rapidly detecting a bridge damage according to an embodiment of the present application, where step 201 includes:
701. acquiring the passing time of a plurality of groups of bridge passing vehicles passing through a midspan area of a bridge and a first vertical acceleration of a vehicle body of the bridge passing vehicles;
specifically, a plurality of sets of measurement data of the same passing vehicle are acquired, one set of measurement data includes a passage time required for the vehicle to pass through a mid-span region of the bridge and a first vertical acceleration of the vehicle body, wherein the first vertical acceleration of the vehicle body can be acquired by the acceleration sensing device.
702. Reconstructing according to the first vertical acceleration to obtain a first vertical displacement;
specifically, the first vertical displacement may be reconstructed from the first vertical acceleration.
703. Carrying out time averaging on the first vertical displacement according to the passing time to obtain an initial characteristic deflection value;
specifically, each first vertical displacement is subjected to time averaging, that is, a quotient of each first vertical displacement and corresponding passing time is obtained as an initial characteristic deflection value, and a plurality of initial characteristic deflection values can be obtained.
704. And confirming the average value of the plurality of initial characteristic flexibility values as the characteristic flexibility value.
Specifically, an average value of a plurality of initial characteristic flexibility values is calculated and is used as a final characteristic flexibility value of the bridge vehicle.
Further, since there is a correlation between the vehicle body vibration response of the vehicle passing through the bridge and the bridge vibration response, the vertical vibration response of the bridge can be estimated by using the vehicle body vertical vibration response data, that is, the bridge can be subjected to damage detection according to the vehicle body vibration response data, and step 202 includes:
and confirming that the bridge is damaged under the condition that the characteristic deflection value is greater than or equal to the preset characteristic deflection value.
Specifically, the characteristic deflection value is an index for evaluating the health condition of the bridge structure. The bridge damage identification can be carried out by monitoring the characteristic deflection value of the vibration of the vehicle body of the bridge-crossing vehicle, when the deflection characteristic value of the vehicle body exceeds the preset characteristic deflection value, the damage of the bridge can be judged, the bridge can be further manually inspected in detail, the bearing capacity of the bridge after the damage occurs is evaluated, and appropriate maintenance or reinforcement measures are taken.
When bridge damage detection is actually carried out, technicians fix portable acceleration sensing equipment on a patrol vehicle, and the patrol vehicle runs on a certain lane of a bridge at a fixed speed. When the inspection vehicle starts to enter the bridge, the handheld detection instrument embedded with the acceleration sensing equipment is used for starting to acquire the acceleration information of the vehicle body; when leaving the bridge, the acquisition is stopped. Repeated detection is carried out for many times to carry out damage detection on the bridge, and the characteristic deflection change of the bridge at different periods can be obtained at regular time, so that the damage condition of the bridge can be identified at regular time, and the safety of the bridge is ensured. In addition, in consideration of vibration interference of surrounding vehicles to the patrol vehicle acceleration signal acquisition, the noise reduction processing of the acceleration signal can be realized by using a signal principal component analysis and empirical mode decomposition method for the acquired acceleration signal, the acquisition precision of the acceleration signal of the acceleration sensing equipment is improved, and the accuracy of bridge damage detection is further improved.
Further, step 202 further comprises:
and determining the damage grade of the bridge according to the characteristic deflection value.
Specifically, ranges of characteristic flexibility values of different damage levels may be preset, and the damage level of the bridge may be determined according to the obtained characteristic flexibility value, for example, the damage level may be divided into a first-level damage, a second-level damage and a third-level damage, the characteristic flexibility value of the first-level damage is smaller than the characteristic flexibility value of the second-level damage, the characteristic flexibility value of the second-level damage is smaller than the characteristic flexibility value of the third-level damage, and a specific numerical range of each level of damage may be set according to specific needs.
Still further, the damage detection method further comprises:
a1, acquiring a vehicle set and an acceleration sensing equipment set, wherein the vehicle set is a set of vehicle parameters of a bridge-crossing vehicle, the acceleration sensing equipment set is a set of equipment parameters of the acceleration sensing equipment used for acquiring acceleration information of a vehicle body of the bridge-crossing vehicle, the vehicle parameters comprise length, width, mass and running speed, and the equipment parameters comprise sampling frequency of acceleration;
specifically, a vehicle set and an acceleration sensing device set are created through Revit secondary development, wherein the vehicle set is a set of vehicle parameters of a gap vehicle for damage detection, the vehicle parameters comprise vehicle parameters of various different gap vehicles, and the vehicle parameters comprise license plates, lengths, widths, masses, running speeds and the like. The acceleration sensing device set is a set of device parameters of the acceleration sensing device, and includes device parameters of a plurality of different acceleration sensing devices, where the acceleration sensing device is a smart phone, and the device parameters include a brand of the smart phone, sampling frequency of acceleration, and the like.
A2, establishing a simulation model among a bridge, a gap bridge vehicle and acceleration sensing equipment, wherein the acceleration sensing equipment is arranged on a vehicle body of the gap bridge vehicle;
specifically, a simulation model of the bridge, the vehicle and the acceleration sensing equipment is established according to structural parameters of the bridge, vehicle parameters of the vehicle passing through the bridge and the acceleration sensing equipment, wherein the structural parameters of the bridge comprise the width and the height of the bridge, material characteristics of the bridge, the span, the type of the bridge and the like.
A3, performing visual simulation on the bridge damage detection process according to the vehicle set, the acceleration sensing equipment set and the simulation model;
specifically, vehicle parameters of a bridge-crossing vehicle and equipment parameters of acceleration sensing equipment for simulating damage detection are selected from a vehicle set and an acceleration sensing equipment set.
Before bridge detection is carried out, technicians can know detection processes and cautions in advance by carrying out three-dimensional visual simulation on the bridge detection process, such as determining the driving speed and the driving route of a vehicle. And guiding technicians to rapidly detect the bridge damage by simulating the bridge crossing scene of the inspection vehicle.
According to the embodiment of the invention, the coupling vibration relation of the vehicle body and the wheels in the driving process of the vehicle is considered, the bridge vibration response information is extracted from the vehicle body vibration response of the detection vehicle, and the rapidity and the portability of the bridge indirect damage identification method are effectively improved.
The embodiment of the invention also provides a bridge BIM platform which is used for executing the bridge damage rapid detection method corresponding to the method embodiment.
Further, the bridge BIM platform includes a bridge diagnosis module and a damage detection simulation module, and the bridge diagnosis module is configured to execute the method steps corresponding to fig. 2, fig. 5, fig. 6, and fig. 7.
Specifically, taking the method of fig. 6 as an example, in this embodiment, revit software of the BIM platform is used as a development platform, a class library encapsulated by a Revit API is used as development support, and for an acceleration signal of the acceleration sensing device, a form of developing an information integration plug-in is used to implement rapid integration of acceleration information into Revit. And designing an acceleration information database by using a new Oll database design method. The acceleration information management system based on Revit is developed through Revit API, the creation of a database based on Revit and the import of data are realized, and the unified management of acceleration information is realized. And selecting Visual Studio as a compiler, and carrying out secondary development on the Revit software through a Revit API. For the acceleration information integrated to the BIM platform, a program is written according to the method principle shown in fig. 6, an information processing interface is developed, and finally secondary development of Revit software is realized, so that the acceleration information can be quickly processed, that is, the BIM platform can be used for processing the obtained first vertical acceleration (that is, the acceleration information obtained by the acceleration sensing equipment) to quickly obtain a characteristic deflection value so as to judge the damage condition of the bridge. Similarly, the program is written according to the method principle of the step 202, the step 601 to the step 604, and the step 701 to the step 704 to complete the bridge diagnosis module for creating the bridge BIM platform, and the bridge BIM platform can be used for processing the data obtained in the actual damage detection process to assist the staff in completing the damage detection, which is beneficial to improving the damage detection efficiency.
Furthermore, the damage detection simulation module is used for executing the steps A1 to A3, and before bridge detection is carried out, technicians can carry out three-dimensional visual simulation on the bridge detection process through the bridge BIM platform, know the detection process and the cautions in advance, and can guide the technicians to carry out rapid bridge damage detection by simulating the scene of vehicle passing through the bridge in the BIM platform.
Referring to fig. 8, fig. 8 is a schematic diagram of a terminal device according to an embodiment of the present disclosure, and as shown in fig. 8, a terminal device 800 may include: processor 801, network interface 804 and memory 805, and terminal device 800 may further comprise: a user interface 803, and at least one communication bus 802. Wherein a communication bus 802 is used to enable connective communication between these components. The user interface 803 may include a Display (Display) and a Keyboard (Keyboard), and the optional user interface 803 may also include a standard wired interface and a standard wireless interface. The network interface 804 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). Memory 805 may be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The memory 805 may optionally be at least one memory device located remotely from the processor 801. As shown in fig. 8, the memory 805, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a device control application program.
In the terminal device 800 shown in fig. 8, the network interface 804 may provide a network communication function; and the user interface 803 is primarily an interface for providing input to a user; and the processor 801 may be used to invoke the device control application stored in the memory 805 to implement:
obtaining body vibration response data of a bridge vehicle;
and carrying out damage detection on the bridge according to the vehicle body vibration response data and preset evaluation conditions.
Through the embodiment of the application, the damage detection is carried out on the bridge according to the vehicle body vibration response data of the vehicle passing through the bridge and the preset evaluation condition, and the rapidity and the portability of the identification method for the indirect damage of the bridge can be effectively improved due to the fact that the vehicle body vibration response data of the vehicle passing through the bridge are easier to obtain and convenient to maintain.
In the embodiment of the present application, the terminal may be divided into the functional units according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
In accordance with the above, please refer to fig. 9, and fig. 9 is a schematic structural diagram of a bridge damage rapid detection system according to an embodiment of the present application. It includes automobile body data acquisition module 901, detection module 902, wherein:
the vehicle body data acquisition module 901 is used for acquiring vehicle body vibration response data of the gap bridge vehicle;
and the detection module 902 is used for carrying out damage detection on the bridge according to the vehicle body vibration response data and the preset evaluation conditions.
Further, the system further comprises:
the frequency acquisition module is used for acquiring the road surface excitation frequency of the bridge and the natural circle frequency of the vehicle body of the vehicle passing the bridge;
the frequency ratio acquisition module is used for confirming the frequency ratio of the bridge road excitation frequency and the natural circle frequency of the vehicle body according to the bridge road excitation frequency;
and the correlation relation confirming module is used for confirming that the correlation relation exists between the vehicle body vibration response of the bridge passing vehicle and the bridge vibration response under the condition that the frequency ratio is less than or equal to the preset frequency ratio, and the preset frequency ratio belongs to the low-frequency-band frequency ratio.
Further, the frequency acquisition module includes:
the second acceleration acquisition submodule is used for acquiring a second vertical acceleration at the wheel when the vehicle passing through the bridge passes through the bridge;
the second displacement acquisition submodule is used for obtaining second vertical displacement according to the second vertical acceleration reconstruction;
the unevenness obtaining submodule is used for obtaining the unevenness of the bridge road surface according to the second vertical displacement;
and the road surface frequency acquisition submodule is used for acquiring the bridge road surface excitation frequency according to the bridge road surface unevenness.
Further, the vehicle body data acquisition module includes:
the first acceleration acquisition submodule is used for acquiring the passing time of a plurality of groups of bridge-crossing vehicles passing through a midspan area of a bridge and the first vertical acceleration of the vehicle body of the bridge-crossing vehicles;
the first displacement acquisition submodule is used for acquiring a first vertical displacement according to the first vertical acceleration reconstruction;
the initial deflection obtaining submodule is used for carrying out time averaging on the first vertical displacement according to the passing time to obtain an initial characteristic deflection value;
and the deflection acquisition submodule is used for confirming the average value of the plurality of initial characteristic deflection values as the characteristic deflection value.
Further, the detection module includes:
the damage confirming submodule is used for confirming that the bridge is damaged under the condition that the characteristic flexibility value is greater than or equal to the preset characteristic flexibility value;
and the grade determining submodule is used for determining the damage grade of the bridge according to the characteristic flexibility value.
Further, the system further comprises:
the system comprises a parameter set acquisition module, a parameter set acquisition module and a parameter setting module, wherein the parameter set acquisition module is used for acquiring a vehicle set and an acceleration sensing equipment set, the vehicle set is a set of vehicle parameters of a bridge-crossing vehicle, the acceleration sensing equipment set is a set of equipment parameters of acceleration sensing equipment used for acquiring acceleration information of a vehicle body of the bridge-crossing vehicle, the vehicle parameters comprise length, width, mass and running speed, and the equipment parameters comprise sampling frequency of acceleration;
the model building module is used for building a simulation model among a bridge, a gap bridge vehicle and acceleration sensing equipment, wherein the acceleration sensing equipment is arranged on a vehicle body of the gap bridge vehicle;
and the simulation detection module is used for performing visual simulation on the bridge damage detection process according to the vehicle set, the acceleration sensing equipment set and the simulation model.
Embodiments of the present application further provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to perform part or all of the steps of any one of the bridge damage rapid detection methods as described in the foregoing method embodiments.
Embodiments of the present application further provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program enables a computer to execute some or all of the steps of any one of the bridge damage rapid detection methods described in the above method embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a software program module.
The integrated units, if implemented in the form of software program modules and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solutions of the present application, which are essential or part of the technical solutions contributing to the prior art, or all or part of the technical solutions, may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-only memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and the like.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash memory disks, read-only memory, random access memory, magnetic or optical disks, and the like.
The foregoing embodiments have been described in detail, and specific examples are used herein to explain the principles and implementations of the present application, where the above description of the embodiments is only intended to help understand the method and its core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific implementation manner and the application scope may be changed, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (11)
1. A bridge damage rapid detection method is characterized by comprising the following steps:
acquiring a bridge pavement excitation frequency and a vehicle body natural circle frequency of a vehicle passing through a bridge;
confirming the frequency ratio of the bridge road excitation frequency and the natural circle frequency of the vehicle body according to the bridge road excitation frequency and the natural circle frequency;
confirming that a correlation exists between the vibration response of the body of the bridge passing vehicle and the vibration response of the bridge under the condition that the frequency ratio is less than or equal to a preset frequency ratio, wherein the preset frequency ratio belongs to a low-frequency-band frequency ratio, and is greater than 0 and less than or equal to 0.75;
the method for acquiring the vibration response data of the body of the gap bridge vehicle comprises the following steps: acquiring the passing time of a plurality of groups of the bridge passing vehicles passing through a bridge mid-span area and a first vertical acceleration of a vehicle body of the bridge passing vehicles, reconstructing according to the first vertical acceleration to obtain a first vertical displacement, carrying out time averaging on the first vertical displacement according to the passing time to obtain an initial characteristic deflection value, and determining the average value of the initial characteristic deflection values as the characteristic deflection value;
carrying out damage detection on the bridge according to the vehicle body vibration response data and preset evaluation conditions, wherein the damage detection comprises the following steps: and confirming that the bridge is damaged under the condition that the characteristic deflection value is greater than or equal to the preset characteristic deflection value.
2. The method of claim 1, wherein the detecting damage to the bridge based on the body vibration response data and a predetermined evaluation condition further comprises:
and determining the damage grade of the bridge according to the characteristic deflection value.
3. The method of claim 1, wherein the obtaining the bridge road excitation frequency and the body natural circle frequency of the gap vehicle comprises:
acquiring a second vertical acceleration at the wheel position when the vehicle passing through the bridge passes through the bridge;
reconstructing according to the second vertical acceleration to obtain second vertical displacement;
acquiring the unevenness of the bridge road surface according to the second vertical displacement;
and acquiring the bridge pavement excitation frequency according to the bridge pavement unevenness.
4. The method according to claim 1 or 2, characterized in that the method further comprises:
the method comprises the steps of obtaining a vehicle set and an acceleration sensing device set, wherein the vehicle set is a set of vehicle parameters of a bridge-crossing vehicle, the acceleration sensing device set is a set of device parameters of acceleration sensing devices used for obtaining acceleration information of a vehicle body of the bridge-crossing vehicle, the vehicle parameters comprise length, width, mass and running speed, and the device parameters comprise sampling frequency of acceleration;
establishing a simulation model among a bridge, the gap bridge vehicle and the acceleration sensing equipment, wherein the acceleration sensing equipment is arranged on a vehicle body of the gap bridge vehicle;
and performing visual simulation on the bridge damage detection process according to the vehicle set, the acceleration sensing equipment set and the simulation model.
5. A bridge damage rapid detection system, characterized in that includes:
the frequency acquisition module is used for acquiring the road surface excitation frequency of the bridge and the natural circle frequency of the vehicle body of the vehicle passing the bridge;
the frequency ratio acquisition module is used for confirming the frequency ratio of the bridge road surface excitation frequency and the natural circle frequency of the vehicle body according to the bridge road surface excitation frequency and the natural circle frequency;
the correlation confirming module is used for confirming that a correlation exists between the vibration response of the body of the bridge passing vehicle and the vibration response of the bridge under the condition that the frequency ratio is smaller than or equal to a preset frequency ratio, wherein the preset frequency ratio belongs to a low-frequency-band frequency ratio, and is larger than 0 and smaller than or equal to 0.75;
the vehicle body data acquisition module is used for acquiring vehicle body vibration response data of the gap bridge vehicle, the vehicle body vibration response data comprises a characteristic deflection value, wherein,
the vehicle body data acquisition module includes:
the first acceleration acquisition submodule is used for acquiring the passing time of a plurality of groups of the passing vehicles passing through a midspan area of the bridge and the first vertical acceleration of the body of the passing vehicle;
the first displacement acquisition submodule is used for acquiring first vertical displacement according to the first vertical acceleration reconstruction;
the initial deflection obtaining submodule is used for carrying out time averaging on the first vertical displacement according to the passing time to obtain an initial characteristic deflection value;
the deflection obtaining submodule is used for confirming the average value of the plurality of initial characteristic deflection values as the characteristic deflection value;
the detection module is used for carrying out damage detection on the bridge according to the vehicle body vibration response data and preset evaluation conditions, and the detection module is further used for confirming that the bridge is damaged under the condition that the characteristic flexibility value is larger than or equal to the preset characteristic flexibility value.
6. The system of claim 5, wherein the detection module further comprises:
and the grade determining submodule is used for determining the damage grade of the bridge according to the characteristic flexibility value.
7. The system of claim 6, wherein the frequency acquisition module comprises:
the second acceleration acquisition submodule is used for acquiring a second vertical acceleration at the wheel when the bridge passing vehicle passes through the bridge;
the second displacement acquisition submodule is used for obtaining second vertical displacement according to the second vertical acceleration reconstruction;
the unevenness obtaining submodule is used for obtaining the unevenness of the bridge road surface according to the second vertical displacement;
and the road surface frequency acquisition submodule is used for acquiring the bridge road surface excitation frequency according to the bridge road surface unevenness.
8. The system of claim 5 or 6, further comprising:
the device comprises a parameter set acquisition module, a parameter acquisition module and a parameter processing module, wherein the parameter set acquisition module is used for acquiring a vehicle set and an acceleration sensing device set, the vehicle set is a set of vehicle parameters of a bridge crossing vehicle, the acceleration sensing device set is a set of device parameters of the acceleration sensing device used for acquiring acceleration information of a vehicle body of the bridge crossing vehicle, the vehicle parameters comprise length, width, mass and running speed, and the device parameters comprise sampling frequency of acceleration;
the model establishing module is used for establishing a simulation model among a bridge, the gap bridge vehicle and the acceleration sensing equipment, and the acceleration sensing equipment is arranged on a vehicle body of the gap bridge vehicle;
and the simulation detection module is used for performing visual simulation on the bridge damage detection process according to the vehicle set, the acceleration sensing equipment set and the simulation model.
9. A terminal device, comprising: a processor and a memory;
the processor is connected with the memory, wherein the memory is used for storing program codes, and the processor is used for calling the program codes to execute the bridge damage rapid detection method according to any one of claims 1 to 4.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method for fast detecting bridge damage according to any one of claims 1 to 4.
11. A bridge BIM platform is characterized by being used for executing the bridge damage rapid detection method according to any one of claims 1 to 4.
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| PCT/CN2019/125727 WO2021119947A1 (en) | 2019-12-16 | 2019-12-16 | Method for quick detection of damage to bridge, and related device |
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| CN112229667B (en) * | 2020-12-14 | 2021-03-12 | 湖南大学 | Method and system for acquiring device parameters of bridge health detection vehicle |
| CN112699590B (en) * | 2021-01-13 | 2023-06-06 | 哈尔滨工业大学（深圳） | Bridge structure damage assessment method and related device based on tire pressure information |
| CN112697373B (en) * | 2021-01-22 | 2023-03-24 | 扬州大学 | Method for estimating displacement of railway bridge with damaged component |
| CN113742822B (en) * | 2021-08-24 | 2023-05-16 | 北京建筑大学 | Method and device for eliminating temperature time lag effect of bridge structure response monitoring data |
| CN114252285A (en) * | 2021-12-09 | 2022-03-29 | 河北工业大学 | Detection simulation device and damage detection simulation system for span bridge |
| CN114295310B (en) * | 2021-12-21 | 2023-06-06 | 重庆大学 | "no-frequency" detection vehicle for strengthening bridge indirect measurement efficacy and design method |
| CN114322911B (en) * | 2021-12-31 | 2023-08-04 | 重庆大学 | Bridge pavement evenness indirect accurate identification method combining Kalman filtering |
| CN114783079A (en) * | 2022-04-24 | 2022-07-22 | 西藏天路股份有限公司 | Comprehensive pipe rack operation maintenance system based on BIM |
| CN115773708B (en) * | 2022-10-18 | 2023-11-14 | 苏州市汇渠工程设计咨询有限公司 | Equipment for measuring and fitting line shape of bridge deck of reconstruction and expansion bridge |
| CN115795943B (en) * | 2022-11-10 | 2023-06-13 | 哈尔滨工业大学 | Highway bridge driving comfort refined evaluation method |
| CN116451913B (en) * | 2023-06-20 | 2023-09-05 | 交通运输部公路科学研究所 | Service performance evaluation method and device for traffic infrastructure health monitoring system |
| CN117237832B (en) * | 2023-11-15 | 2024-02-09 | 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) | Bridge vibration mode identification method, unmanned aerial vehicle and computer readable storage medium |
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