Steel truss bridge node damage detection method, device and equipment, storage medium and program product

Abstract

The invention discloses a steel truss girder bridge node damage detection method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining a first dynamic corner signal corresponding to each node of a to-be-detected steel truss girder bridge and a second dynamic corner signal corresponding to the beam end of the to-be-detected steel truss girder bridge under the condition that a train passes through the to-be-detected steel truss girder bridge; for each node, determining a dynamic rotation angle ratio between the beam end and the node based on a first dynamic rotation angle signal corresponding to the node and a second dynamic rotation angle signal corresponding to the beam end, and determining a damage index corresponding to the node based on the dynamic rotation angle ratio; and for each node, comparing the damage index corresponding to the node with the damage index quantity value of the node in the nondestructive state, and determining a damage detection result of the node based on a comparison result. By adopting the method, the steel truss girder bridge node damage detection efficiency and reliability can be improved.

Description

Technical Field

[0001] The present application relates to the field of maintenance technology, and in particular to a method, device, equipment, storage medium and program product for detecting damage to nodes of a steel truss bridge. Background Art

[0002] The joints of steel truss bridges are critical points for connection and force transmission, directly impacting the structural stability and safety of the bridge. However, due to long-term exposure to repeated loads, changes in humidity and temperature, and material aging, bridge joints are susceptible to a range of defects, including corrosion, fatigue cracks, loose or broken bolts, and weld cracking. These deteriorating joints weaken the strength of the joints, impacting the overall safety and durability of the bridge. Therefore, timely detection and assessment of joint damage is crucial for ensuring safe bridge operation.

[0003] Currently, methods for detecting damage in steel truss bridge nodes primarily include visual inspection, ultrasonic testing, and vibration testing. Visual inspection methods can be further divided into manual visual inspection and image processing detection methods based on intelligent algorithms. Manual visual inspection is often time-consuming and labor-intensive, and relies to a certain extent on the professional experience of the inspector. Image processing detection methods based on intelligent algorithms face challenges in distinguishing different types of damage and quantitatively assessing the extent of node damage, as detailed and extensive databases are difficult to obtain in practice. Ultrasonic detection methods have high requirements for node surfaces, limited detection depth, and are prone to deviations when encountering complex structures. Furthermore, they rely on professional personnel for operation. Consequently, the use of these methods results in low efficiency and reliability in detecting damage in steel truss bridge nodes.

[0004] Therefore, how to improve the efficiency and reliability of damage identification of steel truss bridge nodes has become an urgent problem to be solved. Summary of the Invention

[0005] The embodiments of the present application provide a steel truss bridge node damage detection method, device, equipment, storage medium and program product, which can improve the efficiency and reliability of steel truss bridge node damage detection.

[0006] In a first aspect, an embodiment of the present application provides a method for detecting damage to a steel truss bridge node, the method comprising:

[0007] When a train passes through the steel truss bridge to be tested, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested are obtained; wherein each node is the area where the rods of the steel truss bridge to be tested intersect and connect; the beam end is the connection end between the steel truss bridge to be tested and the support or other structure;

[0008] For each node, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, determine the dynamic rotation angle ratio between the beam end and the node, and determine the damage index corresponding to the node based on the dynamic rotation angle ratio;

[0009] For each node, the damage index corresponding to the node is compared with the damage index value of the node in the intact state, and the damage detection result of the node is determined based on the comparison result.

[0010] In one embodiment, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal at the beam end, the dynamic rotation angle ratio between the beam end and the node is determined, including: selecting the first maximum dynamic rotation angle corresponding to the node from the first dynamic rotation angle signal corresponding to the node, and selecting the second maximum dynamic rotation angle corresponding to the beam end from the second dynamic rotation angle signal at the beam end; based on the first maximum dynamic rotation angle and the second maximum dynamic rotation angle, determining the dynamic rotation angle ratio between the beam end and the node.

[0011] In one embodiment, the damage index corresponding to the node is determined based on the dynamic rotation angle ratio, including: obtaining the total number N of trains passing through the steel truss bridge to be tested; determining the damage index corresponding to the node based on the total number N of trains and the dynamic rotation angle ratio corresponding to when the i-th train passes through the node; i is an integer greater than or equal to 1 and less than or equal to N.

[0012] In one embodiment, based on the comparison result, the damage detection result of the node is determined, including: when the comparison result is that the damage index is less than or equal to the damage index value, the damage detection result of the node is determined to be no damage; when the comparison result is that the damage index is greater than the damage index value, the damage detection result of the node is determined to be damage.

[0013] In one embodiment, the damage index value of the node in the damage-free state is determined by: based on the design parameters of the steel truss bridge to be tested, a finite element model of the steel truss bridge to be tested in the damage-free state is established; the finite element model in the damage-free state is analyzed to obtain a damage-free characteristic matrix corresponding to the steel truss bridge to be tested; based on the damage-free characteristic matrix, a first dynamic rotation angle corresponding to the node in the damage-free state and a second dynamic rotation angle corresponding to the beam end in the damage-free state are determined; based on the first dynamic rotation angle and the second dynamic rotation angle, the damage index value of the node in the damage-free state is determined.

[0014] In one embodiment, obtaining a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be measured and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be measured includes: collecting a first initial dynamic rotation angle signal corresponding to each node through a dynamic rotation angle sensor deployed at each node of the steel truss bridge to be measured, and collecting a second initial dynamic rotation angle signal corresponding to the beam end through a dynamic rotation angle sensor deployed at the beam end of the steel truss bridge to be measured; performing low-pass filtering on each first initial dynamic rotation angle signal to obtain a first dynamic rotation angle signal corresponding to each node, and performing low-pass filtering on the second initial dynamic rotation angle signal to obtain a second dynamic rotation angle signal corresponding to the beam end.

[0015] In a second aspect, the present application provides a device for detecting damage to a steel truss bridge node, the device comprising:

[0016] an acquisition module, configured to acquire, when a train passes over the steel truss bridge to be tested, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested, and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested; wherein each node is an area where rods of the steel truss bridge to be tested intersect and connect; and the beam end is an end where the steel truss bridge to be tested connects to a support or other structure;

[0017] a determination module for determining, for each node, a dynamic rotation angle ratio between the beam end and the node based on a first dynamic rotation angle signal corresponding to the node and a second dynamic rotation angle signal corresponding to the beam end, and determining a damage index corresponding to the node based on the dynamic rotation angle ratio;

[0018] The processing module is used to compare the damage index corresponding to each node with the damage index value of the node in a non-destructive state, and determine the damage detection result of the node based on the comparison result.

[0019] In a third aspect, the present application provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are performed:

[0020] When a train passes through the steel truss bridge to be tested, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested are obtained; wherein each node is the area where the rods of the steel truss bridge to be tested intersect and connect; the beam end is the connection end between the steel truss bridge to be tested and the support or other structure;

[0021] For each node, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, determine the dynamic rotation angle ratio between the beam end and the node, and determine the damage index corresponding to the node based on the dynamic rotation angle ratio;

[0022] For each node, the damage index corresponding to the node is compared with the damage index value of the node in the intact state, and the damage detection result of the node is determined based on the comparison result.

[0023] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0024] When a train passes through the steel truss bridge to be tested, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested are obtained; wherein each node is the area where the rods of the steel truss bridge to be tested intersect and connect; the beam end is the connection end between the steel truss bridge to be tested and the support or other structure;

[0025] For each node, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, determine the dynamic rotation angle ratio between the beam end and the node, and determine the damage index corresponding to the node based on the dynamic rotation angle ratio;

[0026] For each node, the damage index corresponding to the node is compared with the damage index value of the node in the intact state, and the damage detection result of the node is determined based on the comparison result.

[0027] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0028] When a train passes through the steel truss bridge to be tested, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested are obtained; wherein each node is the area where the rods of the steel truss bridge to be tested intersect and connect; the beam end is the connection end between the steel truss bridge to be tested and the support or other structure;

[0029] For each node, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, determine the dynamic rotation angle ratio between the beam end and the node, and determine the damage index corresponding to the node based on the dynamic rotation angle ratio;

[0030] For each node, the damage index corresponding to the node is compared with the damage index value of the node in the intact state, and the damage detection result of the node is determined based on the comparison result.

[0031] The above-mentioned steel truss bridge node damage detection method, device, equipment, storage medium and program product, the computer equipment can obtain the first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested, and the second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested when a train passes through the steel truss bridge to be tested; wherein, each node is the area where the rods in the steel truss bridge to be tested intersect and connect; the beam end is the connection end of the steel truss bridge to be tested and the support or other structure; for each node, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, the dynamic rotation angle ratio between the beam end and the node is determined, and based on the dynamic rotation angle ratio, the damage index corresponding to the node is determined; for each node, the damage index corresponding to the node is compared with the damage index value of the node in the non-destructive state, and based on the comparison result, the damage detection result of the node is determined. By adopting this method, the computer equipment can simply and quickly determine the beam end-node rotation angle ratio based on the dynamic rotation angle signal of each node of the steel truss bridge to be tested and the dynamic rotation angle information at the beam end when a train passes through the steel truss bridge to be tested, and then compare the beam end-node rotation angle ratio with the damage index value of the node in the intact state to quickly and accurately determine the damage detection result of the node. That is, by adopting this method, the efficiency and reliability of steel truss bridge node damage detection can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0033] Figure 1 This is a schematic diagram of an application scenario of a steel truss bridge node damage detection method provided in an embodiment of the present application;

[0034] Figure 2 This is a schematic diagram of the measurement point layout of a dynamic rotation angle sensor in a steel truss bridge provided by an embodiment of the present application;

[0035] Figure 3 This is a flow chart of a steel truss bridge node damage detection method provided in an embodiment of the present application;

[0036] Figure 4 This is a flow chart of another steel truss bridge node damage detection method provided in an embodiment of the present application;

[0037] Figure 5 is a schematic diagram of a steel truss bridge node provided in an embodiment of the present application;

[0038] Figure 6This is a schematic diagram of the loss indicators corresponding to each node under different working conditions provided by an embodiment of the present application;

[0039] Figure 7 This is a schematic diagram of loss indicators corresponding to each node under another different working conditions provided by an embodiment of the present application;

[0040] Figure 8 This is a structural diagram of a steel truss bridge node damage detection device provided in an embodiment of the present application;

[0041] Figure 9 It is a structural diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0042] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0043] The following introduces the application scenarios of the steel truss bridge node damage detection method provided in the embodiment of the present application.

[0044] See Figure 1 , Figure 1 This is a schematic diagram of an application scenario of a steel truss bridge node damage detection method provided in an embodiment of the present application. Figure 1 As shown, the system includes a computer device 101 and a plurality of dynamic rotation angle sensors ( Figure 1 The dynamic angle sensor 102 at node 1, the dynamic angle sensor 103 at node 2, and the dynamic angle sensor 104 at the beam end are used as examples. The computer device 101 communicates with each dynamic angle sensor via a network. For example, the measurement point layout of the dynamic angle sensor in a steel truss bridge can be seen in Figure 2 , Figure 2 This is a schematic diagram of the measurement point layout of a dynamic rotation angle sensor in a steel truss bridge provided by an embodiment of the present application. Figure 2 As shown in Figure 1, dynamic rotation angle sensors are deployed at each node of the steel truss bridge.

[0045] Among them, when a train passes through the steel truss bridge to be tested, the computer device 101 can obtain the first dynamic angle signal corresponding to each node (node ​​1 and node 2) through the dynamic angle sensors (such as dynamic angle sensor 102 and dynamic angle sensor 103) deployed at each node of the steel truss bridge, and obtain the second dynamic angle signal corresponding to the beam end through the dynamic angle sensor 104 deployed at the beam end; for each node, based on the first dynamic angle signal corresponding to the node and the second dynamic angle signal corresponding to the beam end, determine the dynamic angle ratio between the beam end and the node, and based on the dynamic angle ratio, determine the damage index corresponding to the node; for each node, compare the damage index corresponding to the node with the damage index value of the node in a damage-free state, and determine the damage detection result of the node based on the comparison result. By adopting this method, the computer equipment can simply and quickly determine the beam end-node rotation angle ratio based on the dynamic rotation angle signal of each node of the steel truss bridge to be tested and the dynamic rotation angle information at the beam end when a train passes through the steel truss bridge to be tested, and then compare the beam end-node rotation angle ratio with the damage index value of the node in the intact state to quickly and accurately determine the damage detection result of the node. That is, by adopting this method, the efficiency and reliability of steel truss bridge node damage detection can be improved.

[0046] Optionally, computer device 101 may be a terminal device or a server. The terminal devices mentioned herein may include, but are not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices may include smart TVs, smart air conditioners, smart car devices, and projection devices. Portable wearable devices may include smart watches, smart bracelets, and head-mounted devices. The server mentioned herein may be an independent physical server, a server cluster or distributed system consisting of multiple physical servers, or a cloud server providing cloud computing services, etc., without limitation.

[0047] See Figure 3 , Figure 3 1 is a flow chart of a steel truss bridge node damage detection method provided in an embodiment of the present application. The method can be executed by a computer device (for example, the computer device 101 mentioned above). Figure 3 As shown, the steel truss bridge node damage detection method may include but is not limited to the following steps:

[0048] S301. When a train passes through a steel truss bridge to be tested, obtain a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested and a second dynamic rotation angle signal corresponding to a beam end of the steel truss bridge to be tested.

[0049] Each node is the area where members of the steel truss bridge under test intersect and connect. The beam ends are where the steel truss bridge under test connects to supports or other structures. For example, members include main trusses, crossbeams, longitudinal beams, and diagonal beams. Other structures include abutments and adjacent beams.

[0050] In some embodiments, a dynamic rotation angle sensor is deployed at each node and beam end of the steel truss bridge to be tested. When a train passes through the steel truss bridge to be tested, the computer equipment obtains a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested, and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested. When a train passes through the steel truss bridge to be tested, the first dynamic rotation angle signal corresponding to each node can be obtained by using the dynamic rotation angle sensor deployed at each node of the steel truss bridge to be tested; and the second dynamic rotation angle signal corresponding to the beam end can be obtained by using the dynamic rotation angle sensor deployed at the beam end of the steel truss bridge to be tested.

[0051] The dynamic turning angle signal may also be a longitudinal dynamic turning angle signal.

[0052] Optionally, the dynamic angle sensor may include but is not limited to a gyroscope, a micro-electro-mechanical system (MEMS) sensor, etc., which is not limited here.

[0053] In some embodiments, the computer device may obtain a first dynamic rotation angle signal corresponding to each node of the steel truss bridge under test, and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge under test, when a preset number of trains pass through the steel truss bridge under test. That is, the computer device may obtain the dynamic rotation angle signal at each node and beam end of the steel truss bridge under test when at least a preset number of trains pass through the steel truss bridge under test. For example, the preset number of trains is five.

[0054] S302. For each node, based on a first dynamic rotation angle signal corresponding to the node and a second dynamic rotation angle signal corresponding to the beam end, determine a dynamic rotation angle ratio between the beam end and the node, and based on the dynamic rotation angle ratio, determine a damage index corresponding to the node.

[0055] In some embodiments, the ratio of the dynamic rotation angles between the beam ends and the nodes can also be referred to as the beam end-to-node rotation angle ratio. This ratio can be used to reflect the degree of relative rotational stiffness matching between the beam ends and the nodes. An inappropriate ratio (e.g., excessive or insufficient node stiffness) can lead to uneven bending moment distribution at the beam ends, compromising safety. Therefore, by determining the beam end-to-node rotation angle ratio, damage indicators corresponding to nodes unaffected by beam damage and environmental noise can be identified, improving the accuracy of node damage indicators.

[0056] S303: For each node, compare the damage index corresponding to the node with the damage index value of the node in a non-destructive state, and determine the damage detection result of the node based on the comparison result.

[0057] Among them, the damage index values ​​of different nodes in the lossless state are the same or different.

[0058] The damage index value of the node in the non-destructive state can be obtained by establishing a finite element model of the non-destructive state corresponding to the steel truss bridge to be tested based on the design parameters of the steel truss bridge to be tested by a computer device, and then obtaining the result based on the finite element model.

[0059] In an optional embodiment, after step S203, the computer device may also output a warning message if the damage detection result of the node indicates damage. The warning message includes the node's location information. This facilitates relevant personnel to promptly know the location of the damaged node and to promptly repair the damaged node.

[0060] In an embodiment of the present application, a computer device can obtain a first dynamic rotation angle signal corresponding to each node of the steel truss bridge under test and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge under test when a train passes through the steel truss bridge under test; for each node, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, determine the dynamic rotation angle ratio between the beam end and the node, and determine the damage index corresponding to the node based on the dynamic rotation angle ratio; for each node, compare the damage index corresponding to the node with the damage index value of the node in an intact state, and determine the damage detection result of the node based on the comparison result. Using this method, the computer device can simply and quickly determine the beam end-to-node rotation angle ratio based on the dynamic rotation angle signal of each node of the steel truss bridge under test and the dynamic rotation angle information at the beam end when a train passes through the steel truss bridge under test; then, by comparing the beam end-to-node rotation angle ratio with the damage index value of the node in an intact state, the damage detection result of the node can be quickly and accurately determined. That is, using this method, the efficiency and reliability of steel truss bridge node damage detection can be improved.

[0061] Furthermore, compared to traditional visual inspection-based and vibration-based methods for detecting damage at steel truss bridge nodes, this method can address the issue of insensitivity in early damage detection. Furthermore, the embodiments of this application are unaffected by beam damage and ambient noise, exhibiting strong anti-interference capabilities and robustness. Compared to traditional manual inspection methods, this method eliminates the need for inspectors' expertise and saves time and effort.

[0062] In an optional embodiment, Figure 3In step S302 of the steel truss bridge node damage detection method shown, the computer device determines the dynamic rotation angle ratio between the beam end and the node based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal at the beam end, which may include: selecting the first maximum dynamic rotation angle corresponding to the node from the first dynamic rotation angle signal corresponding to the node, and selecting the second maximum dynamic rotation angle corresponding to the beam end from the second dynamic rotation angle signal at the beam end; and determining the dynamic rotation angle ratio between the beam end and the node based on the first maximum dynamic rotation angle and the second maximum dynamic rotation angle.

[0063] In some embodiments, the computer device selects the first maximum dynamic rotation angle corresponding to the node from the first dynamic rotation angle signal corresponding to the node, and may use a peak detection algorithm to determine the first maximum dynamic rotation angle corresponding to the node from the first dynamic rotation angle signal.

[0064] In some embodiments, the computer device selects the second maximum dynamic rotation angle corresponding to the beam end from the second dynamic rotation angle signal at the beam end, and can use a peak detection algorithm to determine the second maximum dynamic rotation angle corresponding to the node from the second dynamic rotation angle signal.

[0065] In some embodiments, when the computer device determines the ratio of the dynamic rotation angle between the beam end and the node based on the first maximum dynamic rotation angle and the second maximum dynamic rotation angle, the following formula (1) may be used.

[0066] (1)

[0067] In formula (1), a i It represents the ratio of the dynamic rotation angle between the beam end and the nth node when the i-th train passes through the steel truss bridge to be tested; It represents the second maximum dynamic rotation angle at the beam end when the i-th train passes through the steel truss bridge to be tested; It represents the first maximum dynamic rotation angle corresponding to the nth node when the i-th train passes through the steel truss bridge to be tested.

[0068] Using this embodiment, the computer device determines the dynamic rotation angle ratio between the beam end and the node based on the first maximum dynamic rotation angle corresponding to the node and the second maximum dynamic rotation angle corresponding to the beam end. This is conducive to more accurate determination of the damage index corresponding to the node in the subsequent process.

[0069] In an optional embodiment, Figure 3 In step S302 of the steel truss bridge node damage detection method shown, the computer device determines the damage index corresponding to the node based on the dynamic rotation angle ratio, which may include: obtaining the total number N of trains passing through the steel truss bridge to be tested; determining the damage index corresponding to the node based on the total number of trains and the dynamic rotation angle ratio corresponding to the i-th train passing through the node; i is an integer greater than or equal to 1 and less than or equal to N.

[0070] In some embodiments, the computer device may use the following formula (2) to determine the damage index corresponding to the node based on the total number of trains and the dynamic rotation angle ratio corresponding to the i-th train passing through the node.

[0071] (2)

[0072] In formula (2), It represents the damage index corresponding to the nth node of the steel truss bridge to be tested; N represents the total number of trains passing through the steel truss bridge to be tested; a i It represents the ratio of the dynamic rotation angle between the beam end and the nth node when the i-th train passes through the steel truss bridge to be tested; It represents the second maximum dynamic rotation angle at the beam end when the i-th train passes through the steel truss bridge to be tested; It represents the first maximum dynamic rotation angle corresponding to the nth node when the i-th train passes through the steel truss bridge to be tested.

[0073] By adopting this implementation, the damage index corresponding to the node can be determined quickly and accurately, thereby facilitating the subsequent rapid and accurate determination of the damage detection result of the node.

[0074] In an optional embodiment, Figure 3 In step S303 of the steel truss bridge node damage detection method shown, the computer device determines the damage detection result of the node based on the comparison result, which may include: when the comparison result is that the damage index is less than or equal to the damage index value, determining that the damage detection result of the node is no damage; when the comparison result is that the damage index is greater than the damage index value, determining that the damage detection result of the node is damage.

[0075] Among them, no damage can indicate that the node is in good service status.

[0076] For example, assuming that the damage index of node 1 is 3.3, and the damage index value of node 1 in the intact state is 3.5, in this case, the computer device can determine that the damage index of node 1, 3.3, is less than the damage index value of node 1, 3.5. In this case, the computer device can determine that the damage detection result of node 1 is no damage. assuming that the damage index of node 2 is 1.8, and the damage index value of node 2 in the intact state is 1.3. In this case, the computer device can determine that the damage index of node 2, 1.8, is greater than the damage index value of node 2, 1.3. In this case, the computer device can determine that the damage detection result of node 2 is damaged.

[0077] By adopting this embodiment, the computer device can quickly and accurately determine the damage detection result of the node based on the comparison result of the damage index corresponding to the node and the damage index value of the node in the intact state.

[0078] In an optional embodiment, Figure 3 In step S303 of the steel truss bridge node damage detection method shown, the damage index value of the node in the damage-free state can be determined by a computer device in the following manner: based on the design parameters of the steel truss bridge to be tested, a finite element model of the steel truss bridge to be tested in the damage-free state is established; the finite element model in the damage-free state is analyzed to obtain a damage-free characteristic matrix corresponding to the steel truss bridge to be tested; based on the damage-free characteristic matrix, a first dynamic rotation angle corresponding to the node in the damage-free state and a second dynamic rotation angle corresponding to the beam end in the damage-free state are determined; based on the first dynamic rotation angle and the second dynamic angle, the damage index value of the node in the damage-free state is determined.

[0079] In some embodiments, the computer device determines the first dynamic rotation angle corresponding to the node in the lossless state and the second dynamic rotation angle corresponding to the beam end in the lossless state based on the lossless characteristic matrix. The lossless characteristic matrix can be analyzed using the Newmark-Beta method (Newmark-β) to obtain the first dynamic rotation angle corresponding to the node in the lossless state and the second dynamic rotation angle corresponding to the beam end in the lossless state.

[0080] In some embodiments, the specific process of the computer device determining the damage index value of the node in the non-calculation state based on the first dynamic rotation angle and the second dynamic rotation angle can be referred to the aforementioned formula (2), which will not be repeated here.

[0081] In an optional embodiment, Figure 3 In step S301 of the steel truss bridge node damage detection method shown, the computer device obtains a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested, and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested, which may include: collecting a first initial dynamic rotation angle signal corresponding to each node through a dynamic rotation angle sensor deployed at each node of the steel truss bridge to be tested, and collecting a second initial dynamic rotation angle signal corresponding to the beam end through a dynamic rotation angle sensor deployed at the beam end of the steel truss bridge to be tested; performing low-pass filtering on each first initial dynamic rotation angle signal to obtain a first dynamic rotation angle signal corresponding to each node, and performing low-pass filtering on the second initial dynamic rotation angle signal to obtain a second dynamic rotation angle signal corresponding to the beam end.

[0082] By adopting this embodiment, the computer equipment performs low-pass filtering on the first initial dynamic rotation angle signal corresponding to each collected node and the second initial dynamic rotation angle signal corresponding to the beam end, thereby removing noise from the first initial dynamic rotation angle signal and the second initial dynamic rotation angle signal, so that the first dynamic rotation angle signal and the second dynamic rotation angle signal finally obtained are more stable, thereby improving the data quality used for node damage detection, which is conducive to improving the accuracy of subsequent node damage detection.

[0083] The following is an overall description of the steel truss bridge node damage detection method provided in the embodiment of the present application. Figure 4 , Figure 4 FIG. 1 is a flow chart of another method for detecting damage to a steel truss bridge node provided in an embodiment of the present application. Figure 4 As shown, the steel truss bridge node damage detection method may include but is not limited to the following steps:

[0084] S401. When a train passes through the steel truss bridge to be tested, a dynamic rotation angle sensor deployed at each node of the steel truss bridge to be tested is used to collect a first initial dynamic rotation angle signal corresponding to each node, and a dynamic rotation angle sensor deployed at the beam end of the steel truss bridge to be tested is used to collect a second initial dynamic rotation angle signal corresponding to the beam end.

[0085] S402. Perform low-pass filtering on each first initial dynamic rotation angle signal to obtain a first dynamic rotation angle signal corresponding to each node, and perform low-pass filtering on the second initial dynamic rotation angle signal to obtain a second dynamic rotation angle signal corresponding to the beam end.

[0086] S403. For each node, determine the damage index corresponding to the node based on the beam end-node rotation ratio. .

[0087] In an optional embodiment, the computer device determines the damage index corresponding to the node based on the beam end-node rotation angle ratio. When , the above formula (2) can be used.

[0088] S404. Based on the design parameters of the steel truss bridge to be tested, a finite element model of the steel truss bridge to be tested in the non-destructive state is established, and the damage index value of each node in the non-destructive state is output. .

[0089] In an optional embodiment, the damage index value of the node in the damage-free state can be determined by a computer device in the following manner: based on the design parameters of the steel truss bridge to be tested, a finite element model of the steel truss bridge to be tested in the damage-free state is established; the finite element model in the damage-free state is analyzed to obtain a damage-free characteristic matrix corresponding to the steel truss bridge to be tested; based on the damage-free characteristic matrix, a first dynamic rotation angle corresponding to the node in the damage-free state and a second dynamic rotation angle corresponding to the beam end in the damage-free state are determined; based on the first dynamic rotation angle and the second dynamic rotation angle, the damage index value of the node in the damage-free state is determined.

[0090] S405, confirm Is it less than or equal to If yes, execute step S406; if no, execute steps S407 and S408.

[0091] S406: Determine that the damage detection result of the node is in good service status.

[0092] S407: Determine that the damage detection result of the node is that damage exists.

[0093] S408: Output warning information, which includes the location information of the damaged node.

[0094] In an embodiment of the present application, the computer equipment can simply and quickly determine the beam end-node angle ratio by using the dynamic angle signal of each node of the steel truss bridge to be tested and the dynamic angle information at the beam end based on the real-time acquisition when a train passes through the steel truss bridge to be tested. Afterwards, the beam end-node angle ratio is compared with the damage index value of the node in the intact state, and the damage detection result of the node can be quickly and accurately determined. In this way, compared with the steel truss bridge node damage detection method based on traditional visual inspection and the steel truss bridge node damage detection method based on vibration testing, the problem of insensitivity of early damage detection can be solved, and the embodiment of the present application is not affected by beam damage and environmental noise, and has strong anti-interference ability and strong robustness; compared with the traditional manual detection method, there is no need to rely on the professional experience of the detection personnel, and it saves time and effort.

[0095] In some embodiments, the computer equipment also verifies the performance of the steel truss bridge node damage detection method provided in the embodiments of the present application.

[0096] First, the computer equipment uses the beam unit modeling element to build a single-line 108m steel truss bridge, where the steel elastic modulus is 2.1×105MPa, the Poisson's ratio is 0.3, and the bridge system damping ratio is 0.02. Among them, the steel truss bridge node is as follows Figure 5 As shown, Figure 5 This is a schematic diagram of a steel truss bridge node provided in an embodiment of the present application. Figure 5 As shown, the steel truss bridge includes a total of 19 nodes.

[0097] Then, for different damage forms, the following damage conditions are determined for simulation: Condition 1: No damage occurs at any node; Condition 2: The stiffness of node 3 decreases by 50%, and other nodes are not damaged; Condition 3: The stiffness of node 5 decreases by 50%, and other nodes are not damaged; Condition 4: The stiffness of node 3' decreases by 50%, and other nodes are not damaged; Condition 5: The stiffness of node 5' decreases by 50%, and other nodes are not damaged; Condition 6: The stiffness of the beam at node 3 and node 5 both decreases by 50%, and other nodes are not damaged.

[0098] A 10-car C80 train was then selected as the vehicle model, and a five-level spectrum was used to generate track irregularity samples. Taking into account the randomness of the operating train speed on the bridge in the actual test and the differences in axle weights of open cars of different models (23t-30t), the train speed and car body mass coefficient were randomly generated in the ranges of [60, 80] km / h and [0.9, 1.2], respectively, during the node damage identification process.

[0099] The dynamic response of 5 trains crossing the bridge is collected for each damage condition. The node damage identification results under different conditions are as follows: Figure 6 As shown in Figure 1, since working condition 1 corresponds to the working condition where no nodes are damaged, Figure 6 The damage index of each node corresponding to working condition 1 in the figure can be regarded as the damage index value of each node in the non-destructive state (i.e. ). Figure 6 The damage index of each node under different working conditions (i.e. ) and the damage index value of each node in the damage-free state. Figure 6 It can be seen that the damage index value (i.e. ) and the damage index value (i.e. The node with the largest difference between ) is the damaged node. Figure 6 It can also be seen that for the damage index of the same node under different operating conditions, if the node is damaged under any operating condition, the damage index of the node corresponding to that operating condition is the largest. For example, assuming that the damage index of node 3 under operating conditions 2 to 5 is the largest under operating condition 2, it matches the simulated operating condition 2. This shows that the method provided in the embodiments of the present application can effectively and accurately identify damaged nodes under random operational loads.

[0100] The following is a further analysis taking working condition 3 as an example. Under working condition 3, the train speed and axle weight are still randomly generated. Figure 6 The damage index of each node under working condition 3 (i.e. node 5 is damaged) is shown. Figure 6 It can be seen that compared to the damage index value in the intact state, the damage index at node 5 increases the most. Therefore, the node damage detection method based on the beam end-node rotation angle ratio provided in the embodiment of the present application can effectively achieve accurate location of node damage.

[0101] In addition, the computer equipment further adds beam damage (corresponding to working condition 6) based on working condition 3 to consider the impact of beam damage. Figure 7 , Figure 7The damage index of each node under working condition 6 is shown. Comparing the damage index of each node under working condition 3 with the damage index of each node under working condition 6, it can be seen that the beam damage has almost no effect on the proposed node damage early warning method, which shows that the damage index based on the beam end-node rotation angle ratio provided in the embodiment of the present application has good robustness against beam damage.

[0102] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0103] Based on the same inventive concept, embodiments of the present application also provide a steel truss bridge node damage detection device for implementing the aforementioned steel truss bridge node damage detection method. The solution provided by this device is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the steel truss bridge node damage detection device provided below can be found in the limitations of the steel truss bridge node damage detection method described above and will not be further elaborated here.

[0104] See Figure 8 , Figure 8 This is a schematic diagram of the structure of a steel truss bridge node damage detection device provided in an embodiment of the present application. Figure 8 As shown, the steel truss bridge node damage detection device may include but is not limited to:

[0105] Acquisition module 801 is configured to acquire, when a train passes through the steel truss bridge under test, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge under test, and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge under test; wherein each node is an area where rods of the steel truss bridge under test intersect and connect; and the beam end is the connection between the steel truss bridge under test and a support or other structure;

[0106] a determination module 802 for determining, for each node, a dynamic rotation angle ratio between the beam end and the node based on a first dynamic rotation angle signal corresponding to the node and a second dynamic rotation angle signal corresponding to the beam end, and determining a damage index corresponding to the node based on the dynamic rotation angle ratio;

[0107] The processing module 803 is configured to compare, for each node, the damage index corresponding to the node with the damage index value of the node in an intact state, and determine a damage detection result of the node based on the comparison result.

[0108] In one embodiment, when the determination module 802 is used to determine the dynamic angle ratio between the beam end and the node based on the first dynamic angle signal corresponding to the node and the second dynamic angle signal at the beam end, it is specifically used to: select the first maximum dynamic angle corresponding to the node from the first dynamic angle signal corresponding to the node, and select the second maximum dynamic angle corresponding to the beam end from the second dynamic angle signal at the beam end; determine the dynamic angle ratio between the beam end and the node based on the first maximum dynamic angle and the second maximum dynamic angle.

[0109] In one embodiment, when the determination module 802 is used to determine the damage index corresponding to a node based on the dynamic rotation angle ratio, it is specifically used to: obtain the total number N of trains passing through the steel truss bridge to be tested; determine the damage index corresponding to the node based on the total number N of trains and the dynamic rotation angle ratio corresponding to the i-th train passing through the node; i is an integer greater than or equal to 1 and less than or equal to N.

[0110] In one embodiment, when the processing module 803 is used to determine the damage detection result of the node based on the comparison result, it is specifically used to: when the comparison result is that the damage index is less than or equal to the damage index value, determine that the damage detection result of the node is no damage; when the comparison result is that the damage index is greater than the damage index value, determine that the damage detection result of the node is damage.

[0111] In one embodiment, the determination module 502 is further used to: establish a finite element model of the steel truss bridge to be tested in a damage-free state based on the design parameters of the steel truss bridge to be tested; analyze the finite element model in the damage-free state to obtain a damage-free characteristic matrix corresponding to the steel truss bridge to be tested; determine a first dynamic rotation angle corresponding to the node in the damage-free state and a second dynamic rotation angle corresponding to the beam end in the damage-free state based on the damage-free characteristic matrix; and determine a damage index value of the node in the damage-free state based on the first dynamic rotation angle and the second dynamic rotation angle.

[0112] In one embodiment, when the acquisition module 801 is used to obtain the first dynamic angle signal corresponding to each node of the steel truss bridge to be tested and the second dynamic angle signal corresponding to the beam end of the steel truss bridge to be tested, it is specifically used to: collect the first initial dynamic angle signal corresponding to each node through the dynamic angle sensor deployed at each node of the steel truss bridge to be tested, and collect the second initial dynamic angle signal corresponding to the beam end through the dynamic angle sensor deployed at the beam end of the steel truss bridge to be tested; the processing module 803 is also used to perform low-pass filtering on each first initial dynamic angle signal to obtain the first dynamic angle signal corresponding to each node, and to perform low-pass filtering on the second initial dynamic angle signal to obtain the second dynamic angle signal corresponding to the beam end.

[0113] Each module in the aforementioned steel truss bridge joint damage detection device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a terminal device as hardware, or stored in a memory in the terminal device as software, allowing the processor to call and execute the corresponding operations of each module.

[0114] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 9 As shown. The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless means, and the wireless means can be implemented via Wi-Fi, a mobile cellular network, near-field communication (NFC), or other technologies. When executed by the processor, the computer program implements a method for detecting damage in steel truss bridge nodes. The display unit of the computer device is used to form a visually visible image, and can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.

[0115] Those skilled in the art will understand that Figure 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0116] In an exemplary embodiment, the present application provides a computer device including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps in the above-mentioned steel truss bridge node damage detection method are implemented.

[0117] In an exemplary embodiment, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the steps in the above-mentioned steel truss bridge node damage detection method when executed by a processor.

[0118] In an exemplary embodiment, the present application provides a computer program product, including a computer program, which implements the steps in the above-mentioned steel truss bridge node damage detection method when executed by a processor.

[0119] It should be noted that the data involved in this application (including but not limited to acquired data, data used for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0120] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0121] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0122] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for detecting damage to a steel truss bridge node, characterized in that: The method comprises: When a train passes through the steel truss bridge to be tested, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested and a second dynamic rotation angle signal corresponding to the beam end of the steel truss bridge to be tested are obtained; wherein each node is an area where rods in the steel truss bridge to be tested intersect and connect; and the beam end is the connection end between the steel truss bridge to be tested and a support or other structure; For each of the nodes, determining a dynamic rotation angle ratio between the beam end and the node based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, and determining a damage index corresponding to the node based on the dynamic rotation angle ratio; For each of the nodes, the damage index corresponding to the node is compared with the damage index value of the node in a non-destructive state, and based on the comparison result, the damage detection result of the node is determined.

2. The method according to claim 1, characterized in that The determining, based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal at the beam end, a dynamic rotation angle ratio between the beam end and the node, comprises: Selecting a first maximum dynamic rotation angle corresponding to the node from the first dynamic rotation angle signal corresponding to the node, and selecting a second maximum dynamic rotation angle corresponding to the beam end from the second dynamic rotation angle signal at the beam end; Based on the first maximum dynamic rotation angle and the second maximum dynamic rotation angle, a dynamic rotation angle ratio between the beam end and the node is determined.

3. The method according to claim 1, characterized in that The determining, based on the dynamic rotation angle ratio, a damage index corresponding to the node, includes: Obtaining the total number N of trains passing through the steel truss bridge to be tested; Based on the total number of trains N and the dynamic rotation angle ratio corresponding to the i-th train passing through the node, the damage index corresponding to the node is determined; i is an integer greater than or equal to 1 and less than or equal to N.

4. The method according to claim 1, wherein Determining the damage detection result of the node based on the comparison result includes: If the comparison result shows that the damage index is less than or equal to the damage index value, determining that the damage detection result of the node is no damage; When the comparison result is that the damage index is greater than the damage index value, it is determined that the damage detection result of the node is that damage exists.

5. The method according to claim 1, wherein The damage index value of the node in the intact state is determined by the following method: Based on the design parameters of the steel truss bridge to be tested, a finite element model of the steel truss bridge to be tested in a non-destructive state is established; Analyzing the finite element model in the non-destructive state to obtain a non-destructive characteristic matrix corresponding to the steel truss bridge to be tested; Based on the lossless characteristic matrix, determining a first dynamic rotation angle corresponding to the node in a lossless state and a second dynamic rotation angle corresponding to the beam end in a lossless state; Based on the first dynamic rotation angle and the second dynamic rotation angle, a damage index value of the node in a damage-free state is determined.

6. The method according to any one of claims 1 to 5, characterized in that Obtaining a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested, and a second dynamic rotation angle signal corresponding to a beam end of the steel truss bridge to be tested, comprising: By deploying a dynamic rotation angle sensor at each node of the steel truss bridge to be tested, a first initial dynamic rotation angle signal corresponding to each node is collected; and by deploying a dynamic rotation angle sensor at a beam end of the steel truss bridge to be tested, a second initial dynamic rotation angle signal corresponding to the beam end is collected; Each of the first initial dynamic rotation angle signals is subjected to low-pass filtering to obtain a first dynamic rotation angle signal corresponding to each of the nodes, and the second initial dynamic rotation angle signal is subjected to low-pass filtering to obtain a second dynamic rotation angle signal corresponding to the beam end.

7. A steel truss bridge node damage detection device, characterized in that: The device comprises: an acquisition module, configured to acquire, when a train passes through the steel truss bridge to be tested, a first dynamic rotation angle signal corresponding to each node of the steel truss bridge to be tested, and a second dynamic rotation angle signal corresponding to a beam end of the steel truss bridge to be tested; wherein each node is an area where rods in the steel truss bridge to be tested intersect and connect; and the beam end is a connection end between the steel truss bridge to be tested and a support or other structure; a determination module, configured to determine, for each of the nodes, a dynamic rotation angle ratio between the beam end and the node based on the first dynamic rotation angle signal corresponding to the node and the second dynamic rotation angle signal corresponding to the beam end, and determine a damage index corresponding to the node based on the dynamic rotation angle ratio; The processing module is used to compare the damage index corresponding to each node with the damage index value of the node in a non-destructive state, and determine the damage detection result of the node based on the comparison result.

8. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method according to any one of claims 1 to 6 when executing the computer program.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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