Bridge health state evaluation method and system under stress and strain monitoring

Abstract

The application discloses a trestle health state evaluation method and system under stress and strain monitoring, and relates to the technical field of trestle monitoring. The method comprises the following steps: constructing a structural response data sequence; reconstructing an equivalent mechanical field of the trestle structure to obtain a trestle stress state distribution; constructing a force transmission topology network of the trestle structure; constructing a load response matrix and establishing a benchmark load response matrix; comparing response differentials of real-time monitoring mechanical data of the trestle to obtain a topology response difference matrix; calculating a topology change index, determining a health index of the trestle structure according to the topology change index, and taking the health index as a health state evaluation result. The technical problem that the health monitoring of the trestle structure in the prior art cannot recognize structural state changes based on the overall force relationship of the structure, resulting in insufficient health evaluation accuracy, is solved, and the technical effect of quantitatively evaluating the health state of the trestle structure through structural mechanical field reconstruction and force transmission topology analysis and improving health state evaluation accuracy is achieved.

Description

Technical Field

[0001] This invention relates to the field of bridge monitoring technology, specifically to a method and system for assessing the health status of bridges under stress and strain monitoring. Background Technology

[0002] Jet piers are long-distance structural facilities widely used in ports, mines, power plants, and large bulk material conveying systems. They are typically used to support conveyor belt systems and facilitate cross-regional material transport. Due to their large spans, complex structures, and long-term exposure to continuous loads, wind loads, and material transport vibrations, jet piers are prone to fatigue damage, localized deformation, and loosening of connections. Currently, health monitoring of jet pier structures primarily utilizes stress sensors, strain sensors, and vibration sensors to monitor key structural locations, collecting stress responses, strain responses, or vibration signals to determine the structural operating status. For example, monitoring stress changes in components can determine if overload exists, and vibration characteristic analysis can identify structural anomalies. However, existing technologies typically rely on single-point monitoring data or local feature analysis, lacking a systematic analysis of the overall stress state and structural force transmission relationships of the jet pier, making it difficult to identify structural changes from the perspective of the overall structural stress relationship. During the operation of the trestle structure, the structural units share the external load through complex force transmission paths. When the stiffness of a local component changes or is damaged, the force transmission path and load distribution inside the structure will change. Traditional monitoring methods are difficult to effectively reflect this change in the overall force transmission relationship, resulting in insufficient accuracy in assessing the health status of the structure. Summary of the Invention

[0003] This application provides a method and system for assessing the health status of trestle bridges under stress and strain monitoring, which solves the technical problem in the prior art that it is difficult to identify changes in structural state based on the overall stress relationship of the structure, resulting in insufficient accuracy of health assessment.

[0004] The first aspect of this application provides a method for assessing the health status of a trestle bridge under stress-strain monitoring, the method comprising: By deploying mechanical monitoring nodes along the length of the trestle structure, stress response, strain response, and vibration response generated under material conveying conditions are collected to construct a structural response data sequence. Based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural units, an equivalent mechanical field reconstruction is performed on the trestle structure to obtain the stress state distribution of the trestle at each structural unit location. Based on the equivalent mechanical field, force flow distribution analysis is performed inside the trestle structure to identify the force transmission paths between each structural unit, and a force transmission topology network of the trestle structure is constructed. Load response vector analysis is performed based on the force transmission topology network to construct a load response matrix, and a benchmark load response matrix is ​​established based on the monitoring data during the healthy operation phase of the trestle. Using the benchmark load response matrix, the response difference of the real-time monitoring mechanical data of the trestle is compared to obtain a topology response difference matrix. Based on the topology response difference matrix, a topology change index is calculated, and the health index of the trestle structure is determined based on the topology change index as the health status assessment result.

[0005] A second aspect of this application provides a system for assessing the health status of a trestle under stress-strain monitoring, the system comprising: The system comprises the following modules: Data Acquisition Module: Collects stress response, strain response, and vibration response under material conveying conditions through mechanical monitoring nodes deployed along the length of the trestle structure, constructing a structural response data sequence; Mechanical Field Reconstruction Module: Based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural units, reconstructs the equivalent mechanical field of the trestle structure to obtain the stress state distribution at each structural unit location; Distribution Analysis Module: Analyzes the force flow distribution within the trestle structure based on the equivalent mechanical field, identifies the force transmission paths between structural units, and constructs a force transmission topology network for the trestle structure; Load Response Analysis Module: Performs load response vector analysis based on the force transmission topology network, constructs a load response matrix, and establishes a benchmark load response matrix based on monitoring data from the healthy operation phase of the trestle; Comparison Module: Uses the benchmark load response matrix to compare the response differences of the real-time monitoring mechanical data of the trestle, obtaining a topological response difference matrix; State Assessment Module: Calculates topological change indices based on the topological response difference matrix, determines the health index of the trestle structure based on the topological change indices, and uses this as the health status assessment result.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, stress, strain, and vibration responses under material conveying conditions are collected by mechanical monitoring nodes deployed along the length of the trestle structure, constructing a structural response data sequence. Next, based on the structural response data sequence, combined with the trestle structure's topological relationships and structural unit stiffness constraints, an equivalent mechanical field reconstruction is performed on the trestle structure to obtain the stress state distribution at each structural unit location. Further, based on the equivalent mechanical field, force flow distribution analysis is performed within the trestle structure to identify the force transmission paths between structural units, constructing a force transmission topology network for the trestle structure. Then, load response vector analysis is performed based on the force transmission topology network to construct a load response matrix, and a baseline load response matrix is ​​established based on monitoring data from the trestle's healthy operation phase. Then, using the baseline load response matrix, the response difference is compared with the real-time monitoring mechanical data of the trestle to obtain a topology response difference matrix. Finally, a topology change index is calculated based on the topology response difference matrix, and the health index of the trestle structure is determined based on the topology change index as the health status assessment result. This invention solves the technical problem in existing technologies where it is difficult to identify structural state changes based on the overall stress relationship of the structure, resulting in insufficient accuracy of health assessment. It achieves the technical effect of quantitatively assessing the health status of trestle structures and improving the accuracy of health status assessment through structural mechanical field reconstruction and force transmission topology analysis. Attached Figure Description

[0007] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0008] Figure 1 A schematic diagram of the method for assessing the health status of a trestle under stress-strain monitoring provided in this application embodiment; Figure 2 A schematic diagram of the structure of the stress-strain monitoring-based trestle health status assessment system provided in this application embodiment.

[0009] Figure labeling: Data acquisition module 11, mechanical field reconstruction module 12, distribution analysis module 13, load response analysis module 14, comparison module 15, state assessment module 16. Detailed Implementation

[0010] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0011] Example 1, as Figure 1 As shown, this application provides a method for assessing the health status of a trestle under stress-strain monitoring, wherein the method includes: By deploying mechanical monitoring nodes along the length of the trestle structure, stress response, strain response, and vibration response generated under material conveying conditions are collected to construct a structural response data sequence.

[0012] Mechanical monitoring nodes are installed at the main beams, crossbeams, truss connection nodes, and support nodes of the trestle bridge. Each mechanical monitoring node includes at least a strain sensor, a stress measurement unit, and a vibration acceleration sensor to collect stress changes, strain changes, and structural vibration signals at the corresponding locations in real time. During the operation of the material conveying equipment, each monitoring node continuously samples the structural response according to a preset sampling frequency. The stress and strain signals are converted into electrical signals by strain gauges or fiber optic grating sensors and then amplified and converted from analog to digital. The vibration signal is obtained by acquiring structural vibration acceleration data through an acceleration sensor. The raw signals collected by each monitoring node are marked with a unified timestamp and collected through a data acquisition terminal or edge acquisition unit. The collected signals are then processed sequentially for outlier removal, noise filtering, and amplitude normalization. The noise filtering can use bandpass filtering or moving average filtering to eliminate environmental interference signals. Subsequently, the stress response data, strain response data, and vibration response data of each monitoring node at the same sampling time are spliced ​​together according to a unified time axis to form a structural response data sequence reflecting the changes of the trestle bridge structure over time under material conveying conditions. The structural response data sequence is used to characterize the overall mechanical response state of the trestle bridge structure at different time points. The structural response data sequence is represented as follows: For example, the structural response data sequence is represented as: Where σ is the stress response, ε is the strain response, a is the vibration acceleration response, and n is the number of monitoring nodes.

[0013] Furthermore, by deploying mechanical monitoring nodes along the length of the trestle structure, stress response, strain response, and vibration response generated under material conveying conditions are collected to construct a structural response data sequence, including: Based on the analysis of the main force transmission path, vulnerable areas, stiffness change sensitivity, and support transformation of the trestle structure, the monitoring target area is determined. According to the determined monitoring target area, multiple mechanical monitoring nodes are set up along the length of the trestle structure at the main beam nodes, crossbeam nodes, truss connection nodes, and support nodes to monitor stress response, strain response, and vibration response. The raw signals collected by each monitoring node are processed by channel identification, time synchronization, outlier removal, noise filtering, and normalization. The responses of multiple nodes are arranged according to a unified time axis to construct the response data sequence of the trestle structure.

[0014] First, the design drawings and structural parameters of the trestle structure were obtained. The connection relationships of the components, the support arrangement, and the stiffness parameters of the components were analyzed. Under the load boundary conditions corresponding to the material conveying operation, the main force transmission path of the trestle structure was determined through structural stress analysis. Simultaneously, based on the complexity of component connections, the possibility of stress concentration, the long-term load application area, and historical operation and maintenance records, vulnerable areas of the trestle structure were identified. Then, by applying stiffness disturbances to each component of the trestle structure and analyzing the degree of change in the overall structural response, areas sensitive to stiffness changes were identified. Further, support transition areas were identified based on changes in support form, support spacing, and constraint conditions. Based on the comprehensive analysis results of the main force transmission path, vulnerable areas, areas sensitive to stiffness changes, and support transition areas, the monitoring target area was determined. Subsequently, within the monitoring target area, multiple mechanical monitoring nodes were deployed along the length of the trestle structure at main beam nodes, crossbeam nodes, truss connection nodes, and support nodes. Each monitoring node included a strain sensor, a stress measurement unit, and a vibration acceleration sensor to collect stress response, strain response, and structural vibration response signals at the corresponding location in real time. Each monitoring node continuously samples the structural mechanical response according to a preset sampling frequency. The raw signals are then identified and timestamped via a data acquisition terminal, and the data collected by each monitoring node is processed for time synchronization. Subsequently, outlier removal, noise filtering, and amplitude normalization are performed on the raw signals. The noise filtering uses bandpass filtering or moving average filtering to eliminate environmental interference signals. Finally, the stress response data, strain response data, and vibration response data of each monitoring node at the same time are arranged and combined according to a unified time axis to form a multi-node structural response data sequence that can characterize the changes of the trestle structure over time under material conveying conditions.

[0015] Furthermore, based on the analysis of the main force transmission path, vulnerable areas, stiffness change sensitivity, and support transformation of the trestle structure, the monitoring target area is determined, including: The process involves: acquiring the topology, component connection relationships, support arrangement relationships, and component stiffness parameters of the trestle structure; performing main force transmission path analysis on the trestle structure under material conveying conditions based on the aforementioned topology, component connection relationships, support arrangement relationships, and component stiffness parameters, identifying key force transmission components and nodes, and obtaining the main force transmission path analysis results; identifying vulnerable areas of the trestle structure based on component connection complexity, the possibility of local stress concentration, environmental corrosion conditions, and historical defect records, and obtaining vulnerable area identification results; performing stiffness change sensitivity analysis on the trestle structure by applying stiffness disturbances to each component and analyzing the overall response change, obtaining stiffness change sensitivity analysis results, and identifying stiffness change sensitive areas; identifying support transition zones of the trestle structure based on changes in support type, support spacing, and constraint conditions, and obtaining support transition zone identification results; and conducting a comprehensive evaluation based on the main force transmission path analysis results, vulnerable area identification results, stiffness change sensitivity analysis results, and support transition zone identification results, and determining the target monitoring area and target monitoring nodes based on the comprehensive evaluation results, which serve as the monitoring target area.

[0016] Preferably, the design drawings, structural calculation model, or BIM model of the trestle structure are obtained, and the topological configuration, component connection relationships, support arrangement relationships, and stiffness parameters of each component are extracted. These stiffness parameters include the component's moment of inertia, material elastic modulus, and component length parameters. Based on this information, a structural calculation model of the trestle structure is established. Under the load boundary conditions corresponding to the material conveying operation, the main force transmission path of the trestle structure is analyzed using finite element analysis or structural force flow analysis methods. The load transmission ratio or internal force distribution of each component during the overall structural stress process is calculated. Key force transmission components are identified based on components whose internal force accounts for a proportion greater than a preset threshold, and corresponding key force transmission nodes are determined, thus obtaining the main force transmission path analysis results. Subsequently, vulnerable areas of the trestle structure are identified based on the complexity of component connections, the possibility of local stress concentration, environmental corrosion conditions, and historical defect records. Potential fatigue-sensitive areas are identified by calculating the stress concentration coefficient at nodes, the number of connection nodes, or the connection complexity index. The identification results are then corrected based on the environmental corrosion level and historical maintenance or defect records, thus obtaining the vulnerable area identification results. Furthermore, a preset ratio of stiffness perturbation is applied to each component of the trestle structure. By adjusting the component stiffness parameters to 0.85~0.95 times or 1.05~1.15 times the original stiffness, the structural calculation model is re-solved, and the degree of change in the overall structural response is calculated. By comparing the rate of change of structural displacement, stress, or vibration response before and after the perturbation, a stiffness change sensitivity analysis is performed on the trestle structure, and the location of components whose response change rate exceeds a preset threshold is determined to identify the stiffness change sensitive area. Simultaneously, the support transition zone of the trestle structure is identified based on changes in support type, support spacing, and constraint conditions. The support transition zone is determined by analyzing the changes in the distribution of structural support reaction forces or the location of changes in constraint conditions, thus obtaining the support transition zone identification results. Finally, a comprehensive evaluation is conducted based on the main force transmission path analysis results, vulnerable area identification results, stiffness change sensitivity analysis results, and support conversion zone identification results. By setting weight coefficients and weighting scores for the above analysis results, the monitoring priorities of each structural node are ranked, and structural nodes with scores higher than the preset threshold are selected as target monitoring nodes. The structural area where these nodes are located is determined as the monitoring target area for subsequent deployment of mechanical monitoring nodes.

[0017] Based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural units, the equivalent mechanical field of the trestle structure is reconstructed to obtain the stress state distribution of the trestle at each structural unit location.

[0018] Furthermore, based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural elements, an equivalent mechanical field reconstruction is performed on the trestle structure to obtain the stress state distribution of the trestle at each structural element location, including: The trestle structure is discretized into multiple structural units, and the connection relationships between these units are established. Monitoring node response vectors are generated based on the structural response data sequence, and a mechanical constraint model is constructed based on the trestle structure topology and structural unit stiffness constraints. Stress analysis is performed on each structural unit based on the monitoring node response vectors and the mechanical constraint model. The structural response at locations without monitoring nodes is estimated using modal extension, and an equivalent mechanical field for the trestle structure is established. Based on this equivalent mechanical field, the stress state distribution at each structural unit location is obtained.

[0019] First, the trestle structure is discretized based on its topology and component connections, dividing it into multiple structural units. Connections and nodal constraints between these units are established, using beam, truss, or plate elements. Next, stress, strain, and vibration response data for each monitoring node are extracted from the structural response data sequence at different times, constructing monitoring node response vectors. A mechanical constraint model is then established, combining the trestle structure's topology and the stiffness parameters of each structural unit. This model uses a structural stiffness matrix and the relationships between nodal displacements, strains, and stresses to establish structural equilibrium equations, describing the mechanical coupling and load transfer relationships between structural units. Under this mechanical constraint model, the monitoring node response vectors are used as input to the structural calculation model. The structural response distribution at monitored locations is obtained by solving the structural equilibrium equations. The structural response at locations without monitoring nodes is estimated using a modal extension method. This involves extracting structural mode shapes and reconstructing the responses at unobserved locations using the monitoring node response data, thereby establishing the equivalent mechanical field of the trestle structure under the current operating conditions. Finally, the stress value or equivalent stress value of each structural unit is calculated based on the equivalent mechanical field, thereby obtaining the stress state distribution of the trestle at each structural unit location.

[0020] Based on the equivalent force field, the force flow distribution inside the trestle structure is analyzed, the force transmission paths between the structural units of the trestle structure are identified, and the force transmission topology network of the trestle structure is constructed.

[0021] Furthermore, based on the equivalent force field, the force flow distribution inside the trestle structure is analyzed, the force transmission paths between the structural units of the trestle structure are identified, and the force transmission topology network of the trestle structure is constructed, including: Based on the stress state distribution of each structural unit and the connection relationship between structural units, the force transmission direction and force intensity between adjacent structural units are determined; using structural units as network nodes, the force transmission direction between adjacent structural units as directed edges of the network, and the force intensity as edge weights, a force transmission topology network for the trestle structure is constructed.

[0022] Preferably, the stress state distribution at each structural unit location is obtained based on the equivalent electromechanical field, and the stress variation between adjacent structural units is analyzed in conjunction with the connection relationship between structural units. The main direction of load transmission within the structure is determined by calculating the stress difference or stress gradient between adjacent structural units, thereby obtaining the force transmission direction between adjacent structural units. Simultaneously, the force transmission intensity is calculated based on the amount of internal force transmission or the equivalent stress variation amplitude between adjacent structural units, where the force transmission intensity is used to characterize the magnitude of load transmission capacity between structural units. Subsequently, each structural unit is used as a network node, and a directed connection relationship between nodes is established based on the force transmission direction identified between adjacent structural units. The force transmission direction is used as the direction attribute of the directed edge of the network, and the force transmission intensity is used as the weight parameter of the corresponding directed edge, thereby constructing a force transmission topology network that can characterize the load transmission relationship within the trestle structure, used to describe the force transmission relationship between each structural unit and the overall force transmission structural characteristics of the trestle structure under the current working condition.

[0023] Furthermore, the force transmission topology network for constructing the trestle structure also includes: Based on the force transmission direction and intensity between adjacent structural units, the main force transmission path and secondary force transmission path of the trestle structure are identified; and the path is marked in the force transmission topology network according to the main force transmission path and secondary force transmission path.

[0024] After constructing the force transmission topology network of the trestle structure, the force transmission paths within the trestle structure are identified and labeled. This includes: First, based on the force transmission intensity between structural units in the force transmission topology network, the load transfer capacity of each force transmission path is quantified. The comprehensive force transmission intensity of the corresponding path is obtained by accumulating or averaging the force transmission intensity of each directed edge in the path, and then normalized to obtain the force transmission probability of each path. The force transmission probability characterizes the contribution of the corresponding path to the overall load transfer process. Subsequently, a path uncertainty index based on information entropy is calculated based on the force transmission probability of each path. The dispersion of the structural force transmission path distribution is obtained by calculating the information entropy of the force transmission probability of each path. When the force transmission probability distribution tends to be uniform, it indicates that the internal structure... Load transfer exhibits multi-path dispersion. When the force transmission probability is concentrated on a few paths, it indicates that the load inside the structure is mainly transmitted along fixed paths. By comparing the path uncertainty index with a preset threshold, when the path uncertainty index exceeds the threshold, it is determined that there is a probability of force transmission path redistribution within the trestle structure, indicating that the force transmission relationship inside the structure may change. Based on this, the main force transmission path and secondary force transmission path are classified into path weights according to the force transmission probability and path uncertainty index of each force transmission path. Paths with higher force transmission probability and higher path stability are classified as high-weight force transmission paths, while paths with lower force transmission probability or lower path stability are classified as low-weight force transmission paths, thus forming a force transmission topology network with path weight levels, providing basic data for subsequent load response matrix analysis and structural health status assessment.

[0025] Furthermore, it also includes: Based on the force transmission intensity between each structural unit, the force transmission probability of each force transmission path is calculated; based on the force transmission probability, a path uncertainty index based on information entropy is calculated; when the path uncertainty index exceeds a threshold, it is determined that there is a force transmission path redistribution probability in the trestle structure; based on the force transmission path redistribution probability, the primary force transmission path and secondary force transmission path are classified by path weight.

[0026] Preferably, based on the force transmission intensity between structural units in the force transmission topology network, the edge weights of each network constituting the same force transmission path are statistically analyzed, and the force transmission probability of the corresponding path is calculated according to the proportion of the force transmission intensity of each path to the sum of all force transmission intensities. The force transmission probability characterizes the likelihood of load transmission through that path. A path uncertainty index is calculated based on the force transmission probability of each path. An information entropy-based path uncertainty index is obtained by calculating the information entropy of all force transmission path probabilities. The information entropy value is higher when the force transmission probability distribution of each path is relatively uniform, and lower when the load is mainly concentrated on a few paths. The information entropy value is low. When the path uncertainty index exceeds the preset threshold, it is determined that there is a probability of force transmission path redistribution within the trestle structure, indicating that the load transmission relationship within the structure may change. Based on this, according to the force transmission probability and path uncertainty index corresponding to each path, the main force transmission path and secondary force transmission path are classified by path weight. Paths with higher force transmission probability and stronger stability are assigned higher path weights, while paths with lower force transmission probability or higher uncertainty are assigned lower path weights, thus forming a force transmission path system with weight levels for subsequent trestle structure health status assessment and analysis.

[0027] Load response vector analysis is performed based on the force transmission topology network to construct a load response matrix, and a benchmark load response matrix is ​​established based on the monitoring data of the trestle's healthy operation phase.

[0028] First, based on the structural calculation model corresponding to the force transmission topology network, a unit virtual load is sequentially applied to each node of the trestle structure. This unit virtual load can be a unit force or a unit displacement, while keeping the load conditions of other nodes unchanged. After each virtual load is applied, the stress response, strain response, or displacement response of each structural element or node of the trestle structure is solved through structural mechanics calculations, thereby obtaining the structural response results of the corresponding node under the unit virtual load. The structural response results of the corresponding node under the unit virtual load are arranged according to the node order to form the load response vector of the corresponding node. The load response vector is used to characterize the overall force transmission topology response characteristics of the trestle structure under the load of that node. Subsequently, all nodes of the trestle structure... The nodes sequentially repeat the above virtual load application and response calculation process to obtain load response vectors corresponding to multiple nodes. The load response vectors of each node are then combined according to the node number to construct a virtual load response matrix, which is used to describe the overall force transmission topology response characteristics of the trestle structure under different node loads. After obtaining the virtual load response matrix, it is calibrated or corrected based on the monitoring data collected during the healthy operation phase of the trestle. By statistically analyzing the structural response data within multiple time windows during the healthy operation phase, a benchmark load response matrix that can characterize the normal operating state of the trestle is established. The benchmark load response matrix is ​​used for subsequent response differential analysis of real-time monitoring data to identify changes in the force transmission topology characteristics of the trestle structure.

[0029] Using the aforementioned reference load response matrix, the response difference of the real-time monitoring mechanical data of the trestle is compared to obtain the topological response difference matrix.

[0030] Furthermore, using the aforementioned reference load response matrix, the real-time monitoring mechanical data of the trestle are compared to obtain a topological response difference matrix, including: Based on the real-time monitoring mechanical data of the trestle, a real-time load response matrix is ​​constructed; the difference between the real-time load response matrix and the reference load response matrix is ​​calculated to obtain the topology response difference matrix.

[0031] First, based on the mechanical data collected by the trestle real-time monitoring system, including stress response, strain response, and vibration response data of each monitoring node, and combined with the force transmission topology network and structural calculation model, load response analysis is performed on the real-time monitoring data. By mapping the real-time monitoring data to corresponding structural nodes or structural units, a real-time load response matrix reflecting the structural response characteristics of the trestle under the current operating conditions is constructed. Subsequently, the difference between the corresponding elements of the real-time load response matrix and the pre-established benchmark load response matrix is ​​calculated. By calculating the difference or relative rate of change of the corresponding elements of the two matrices, the response change of each node or structural unit in the current operating state relative to the healthy operating state is obtained. Finally, the response changes are arranged and combined according to the matrix structure to form a topology response difference matrix. The topology response difference matrix is ​​used to characterize the degree of difference between the current force transmission topology response characteristics of the trestle structure and the benchmark healthy state, providing a data basis for subsequent topology change index calculation and structural health status assessment.

[0032] The topology change index is calculated based on the topology response difference matrix, and the health index of the trestle structure is determined based on the topology change index as the health status assessment result.

[0033] Furthermore, determining the health index of the trestle structure includes: The topology change index is obtained based on the change magnitude of each matrix element in the topology response difference matrix; the topology change index and path weights are normalized to obtain normalized topology change index and normalized path weight index; the normalized topology change index and normalized path weight index are weighted and calculated to obtain the health index of the trestle structure; the health status of the trestle structure is graded and evaluated based on the health index.

[0034] Preferably, the response change amount corresponding to each structural unit or node is calculated based on the change magnitude of each matrix element in the topology response difference matrix. This response change amount is used as a topology change index to characterize the degree of force transmission topology change of the trestle structure in the current operating state relative to the healthy operating state. The topology change index can be obtained by calculating the difference or relative rate of change between corresponding elements of the real-time response matrix and the baseline response matrix. The path weights corresponding to the force transmission paths are normalized according to the topology change index, wherein the normalized topology change index is obtained by processing each topology change index using the maximum value normalization method. ,in This is the normalized topology change index for the i-th structural unit or node. This represents the change in topological response at the corresponding node; simultaneously, the weights of each force transmission path are normalized to obtain the normalized path weight index: ,in As a normalized path weight metric, Let be the force transmission probability or path weight of the i-th force transmission path; after obtaining the normalized topology change index and the normalized path weight index, a weighted calculation is performed based on the normalized topology change index and the normalized path weight index to obtain the health index of the trestle structure: Where HI is the trestle structure health index, and n is the number of structural units or nodes involved in the calculation; the health index is used to characterize the degree of deviation between the current health state and the baseline health state of the trestle structure. When the health index is close to 1, it indicates that the structure is in a healthy state; when the health index decreases, it indicates that the structural force transmission topology has changed; finally, a health state classification assessment is performed based on the health index, for example, when... When the trestle structure is determined to be in a healthy state, When the trestle structure is determined to be in an early warning state, The system determines whether there is a risk of structural damage to the trestle structure, thus completing the structural health status assessment of the trestle.

[0035] In summary, the embodiments of this application have at least the following technical effects: First, stress, strain, and vibration responses under material conveying conditions are collected by mechanical monitoring nodes deployed along the length of the trestle structure, constructing a structural response data sequence. Next, based on the structural response data sequence, combined with the trestle structure's topological relationships and structural unit stiffness constraints, an equivalent mechanical field reconstruction is performed on the trestle structure to obtain the stress state distribution at each structural unit location. Further, based on the equivalent mechanical field, force flow distribution analysis is performed within the trestle structure to identify the force transmission paths between structural units, constructing a force transmission topology network for the trestle structure. Then, load response vector analysis is performed based on the force transmission topology network to construct a load response matrix, and a baseline load response matrix is ​​established based on monitoring data from the trestle's healthy operation phase. Then, using the baseline load response matrix, the response difference is compared with the real-time monitoring mechanical data of the trestle to obtain a topology response difference matrix. Finally, a topology change index is calculated based on the topology response difference matrix, and the health index of the trestle structure is determined based on the topology change index as the health status assessment result. This invention solves the technical problem in existing technologies where it is difficult to identify structural state changes based on the overall stress relationship of the structure, resulting in insufficient accuracy of health assessment. It achieves the technical effect of quantitatively assessing the health status of trestle structures and improving the accuracy of health status assessment through structural mechanical field reconstruction and force transmission topology analysis.

[0036] Example 2, based on the same inventive concept as the stress-strain monitoring method for assessing the health status of a trestle in the preceding examples, such as... Figure 2 As shown, this application provides a system for assessing the health status of a trestle under stress-strain monitoring, wherein the system includes: Data acquisition module 11: Collects stress response, strain response, and vibration response under material conveying conditions through mechanical monitoring nodes deployed along the length of the trestle structure, constructing a structural response data sequence; Mechanical field reconstruction module 12: Based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural units, reconstructs the equivalent mechanical field of the trestle structure to obtain the stress state distribution of the trestle at each structural unit location; Distribution analysis module 13: Based on the equivalent mechanical field, analyzes the force flow distribution inside the trestle structure to identify the force transmission paths between each structural unit of the trestle structure. A force transmission topology network for the trestle structure is constructed; Load response analysis module 14: Load response vector analysis is performed based on the force transmission topology network to construct a load response matrix, and a benchmark load response matrix is ​​established based on the monitoring data of the trestle during its healthy operation phase; Comparison module 15: The real-time monitoring mechanical data of the trestle is compared using the benchmark load response matrix to obtain a topology response difference matrix; State assessment module 16: Topology change index is calculated based on the topology response difference matrix, and the health index of the trestle structure is determined based on the topology change index as the health status assessment result.

[0037] Furthermore, the data acquisition module 11 is used to perform the following methods: Based on the analysis of the main force transmission path, vulnerable areas, stiffness change sensitivity, and support transformation of the trestle structure, the monitoring target area is determined. According to the determined monitoring target area, multiple mechanical monitoring nodes are set up along the length of the trestle structure at the main beam nodes, crossbeam nodes, truss connection nodes, and support nodes to monitor stress response, strain response, and vibration response. The raw signals collected by each monitoring node are processed by channel identification, time synchronization, outlier removal, noise filtering, and normalization. The responses of multiple nodes are arranged according to a unified time axis to construct the response data sequence of the trestle structure.

[0038] Furthermore, the data acquisition module 11 is used to perform the following methods: The process involves: acquiring the topology, component connection relationships, support arrangement relationships, and component stiffness parameters of the trestle structure; performing main force transmission path analysis on the trestle structure under material conveying conditions based on the aforementioned topology, component connection relationships, support arrangement relationships, and component stiffness parameters, identifying key force transmission components and nodes, and obtaining the main force transmission path analysis results; identifying vulnerable areas of the trestle structure based on component connection complexity, the possibility of local stress concentration, environmental corrosion conditions, and historical defect records, and obtaining vulnerable area identification results; performing stiffness change sensitivity analysis on the trestle structure by applying stiffness disturbances to each component and analyzing the overall response change, obtaining stiffness change sensitivity analysis results, and identifying stiffness change sensitive areas; identifying support transition zones of the trestle structure based on changes in support type, support spacing, and constraint conditions, and obtaining support transition zone identification results; and conducting a comprehensive evaluation based on the main force transmission path analysis results, vulnerable area identification results, stiffness change sensitivity analysis results, and support transition zone identification results, and determining the target monitoring area and target monitoring nodes based on the comprehensive evaluation results, which serve as the monitoring target area.

[0039] Furthermore, the mechanical field reconstruction module 12 is used to perform the following method: The trestle structure is discretized into multiple structural units, and the connection relationships between these units are established. Monitoring node response vectors are generated based on the structural response data sequence, and a mechanical constraint model is constructed based on the trestle structure topology and structural unit stiffness constraints. Stress analysis is performed on each structural unit based on the monitoring node response vectors and the mechanical constraint model. The structural response at locations without monitoring nodes is estimated using modal extension, and an equivalent mechanical field for the trestle structure is established. Based on this equivalent mechanical field, the stress state distribution at each structural unit location is obtained.

[0040] Furthermore, the distributed parsing module 13 is used to perform the following method: Based on the stress state distribution of each structural unit and the connection relationship between structural units, the force transmission direction and force intensity between adjacent structural units are determined; using structural units as network nodes, the force transmission direction between adjacent structural units as directed edges of the network, and the force intensity as edge weights, a force transmission topology network for the trestle structure is constructed.

[0041] Furthermore, the distributed parsing module 13 is used to perform the following method: Based on the force transmission direction and intensity between adjacent structural units, the main force transmission path and secondary force transmission path of the trestle structure are identified; and the path is marked in the force transmission topology network according to the main force transmission path and secondary force transmission path.

[0042] Furthermore, the distributed parsing module 13 is used to perform the following method: Based on the force transmission intensity between each structural unit, the force transmission probability of each force transmission path is calculated; based on the force transmission probability, a path uncertainty index based on information entropy is calculated; when the path uncertainty index exceeds a threshold, it is determined that there is a force transmission path redistribution probability in the trestle structure; based on the force transmission path redistribution probability, the primary force transmission path and secondary force transmission path are classified by path weight.

[0043] Furthermore, the comparison module 15 is used to perform the following method: Based on the real-time monitoring mechanical data of the trestle, a real-time load response matrix is ​​constructed; the difference between the real-time load response matrix and the reference load response matrix is ​​calculated to obtain the topology response difference matrix.

[0044] Furthermore, the state assessment module 16 is used to perform the following method: The topology change index is obtained based on the change magnitude of each matrix element in the topology response difference matrix; the topology change index and path weights are normalized to obtain normalized topology change index and normalized path weight index; the normalized topology change index and normalized path weight index are weighted and calculated to obtain the health index of the trestle structure; the health status of the trestle structure is graded and evaluated based on the health index.

[0045] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for assessing the health status of a trestle under stress-strain monitoring, characterized in that, The method includes: By deploying mechanical monitoring nodes along the length of the trestle structure, stress response, strain response, and vibration response generated under material conveying conditions are collected to construct a structural response data sequence. Based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural units, the equivalent mechanical field of the trestle structure is reconstructed to obtain the stress state distribution of the trestle at each structural unit location. Based on the equivalent force field, the force flow distribution inside the trestle structure is analyzed, the force transmission path between each structural unit of the trestle structure is identified, and the force transmission topology network of the trestle structure is constructed. Load response vector analysis is performed based on the force transmission topology network to construct a load response matrix, and a benchmark load response matrix is ​​established based on the monitoring data of the trestle's healthy operation phase. Using the aforementioned reference load response matrix, the response difference of the real-time monitoring mechanical data of the trestle is compared to obtain the topological response difference matrix. The topology change index is calculated based on the topology response difference matrix, and the health index of the trestle structure is determined based on the topology change index as the health status assessment result.

2. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 1, characterized in that, By deploying mechanical monitoring nodes along the length of the trestle structure, stress response, strain response, and vibration response generated under material conveying conditions are collected to construct a structural response data sequence, including: Based on the trestle structure, the main force transmission path, vulnerable areas, stiffness change sensitivity, and support transformation are analyzed to determine the monitoring target area; Based on the identified monitoring target area, multiple mechanical monitoring nodes are set up along the length of the trestle structure at the main beam nodes, crossbeam nodes, truss connection nodes, and support nodes to monitor stress response, strain response, and vibration response. The raw signals collected by each monitoring node are processed by channel identification, time synchronization, outlier removal, noise filtering and normalization. The responses of multiple nodes are arranged according to a unified time axis to construct a response data sequence of a tethered structure.

3. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 2, characterized in that, Based on the analysis of the main force transmission path, vulnerable areas, stiffness change sensitivity, and support transformation of the trestle structure, the monitoring target area is determined, including: Obtain the topology, component connection relationships, support arrangement relationships, and component stiffness parameters of the trestle structure; Based on the aforementioned topology, component connection relationships, support arrangement relationships, and component stiffness parameters, and under the force boundary conditions of material conveying, the main force transmission path analysis of the trestle structure is performed to determine the key force transmission components and key force transmission nodes, and the main force transmission path analysis results are obtained. Based on the complexity of component connections, the possibility of local stress concentration, environmental corrosion conditions, and historical defect records, vulnerable areas of the trestle structure are identified, and the results of vulnerable area identification are obtained. By applying stiffness disturbances to each component of the trestle structure and analyzing the degree of change in the overall response, a stiffness change sensitivity analysis of the trestle structure is conducted to obtain the results of the stiffness change sensitivity analysis and determine the stiffness change sensitive area. Based on changes in support type, support spacing, and constraint conditions, the support transition zone of the trestle structure is identified, and the support transition zone identification results are obtained. Based on the analysis results of the main force transmission path, the identification results of vulnerable areas, the analysis results of stiffness change sensitivity, and the identification results of the support conversion zone, a comprehensive evaluation is conducted. Based on the comprehensive evaluation results, the target monitoring area and target monitoring nodes are determined as the monitoring target area.

4. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 1, characterized in that, Based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural elements, an equivalent mechanical field reconstruction is performed on the trestle structure to obtain the stress state distribution of the trestle at each structural element location, including: The trestle structure is discretized into multiple structural units, and the connection relationships between the structural units are established. The monitoring node response vector is established based on the structural response data sequence, and a mechanical constraint model is constructed based on the topological relationship of the trestle structure and the stiffness constraints of the structural units. Based on the monitoring node response vector and the mechanical constraint model, stress analysis is performed on each structural unit, and the structural response at locations without monitoring nodes is estimated through modal extension to establish an equivalent mechanical field for the trestle structure. Based on the equivalent mechanical field, the stress state distribution at each structural unit location is obtained.

5. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 4, characterized in that, Based on the equivalent force field, the force flow distribution inside the trestle structure is analyzed, the force transmission paths between the structural units of the trestle structure are identified, and the force transmission topology network of the trestle structure is constructed, including: Based on the stress state distribution of each structural unit and the connection relationship between structural units, determine the force transmission direction and force transmission intensity between adjacent structural units. A force transmission topology network for a trestle structure is constructed by using structural units as network nodes, the force transmission direction between adjacent structural units as directed edges, and the force transmission intensity as edge weights.

6. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 5, characterized in that, Constructing the force transmission topology network for the trestle structure also includes: Based on the force transmission direction and intensity between adjacent structural units, identify the main force transmission path and secondary force transmission path of the trestle structure. The path is marked in the force transmission topology network according to the main force transmission path and the secondary force transmission path.

7. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 6, characterized in that, Also includes: Calculate the force transmission probability of each force transmission path based on the force transmission strength between each structural unit. Based on the force transmission probability, a path uncertainty index based on information entropy is calculated. When the path uncertainty index exceeds the threshold, it is determined that there is a probability of force transmission path redistribution in the trestle structure. Based on the redistribution probability of the force transmission path, the primary and secondary force transmission paths are classified by path weight.

8. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 1, characterized in that, Using the aforementioned reference load response matrix, the real-time monitoring mechanical data of the trestle are compared to obtain a topological response difference matrix, including: Based on the real-time monitoring mechanical data of the trestle, a real-time load response matrix is ​​constructed; The difference between the real-time load response matrix and the reference load response matrix is ​​calculated to obtain the topology response difference matrix.

9. The method for assessing the health status of a trestle under stress-strain monitoring according to claim 7, characterized in that, Determine the health index of the trestle structure, including: The topology change index is obtained based on the magnitude of change of each matrix element in the topology response difference matrix; The topology change index and path weight are normalized to obtain normalized topology change index and normalized path weight index. The health index of the trestle structure is obtained by weighting the normalized topology change index and the normalized path weight index, and the health status of the trestle structure is graded and evaluated based on the health index.

10. A trestle health status assessment system under stress-strain monitoring, characterized in that, The system is used to implement the stress-strain monitoring method for assessing the health status of a trestle according to any one of claims 1-9, the system comprising: Data acquisition module: By deploying mechanical monitoring nodes along the length of the trestle structure, it collects stress response, strain response and vibration response generated under material conveying conditions, and constructs a structural response data sequence; Mechanical field reconstruction module: Based on the structural response data sequence, combined with the topological relationship of the trestle structure and the stiffness constraints of the structural units, the equivalent mechanical field is reconstructed for the trestle structure to obtain the stress state distribution of the trestle at each structural unit position; Force distribution analysis module: Based on the equivalent force field, the force flow distribution inside the trestle structure is analyzed, the force transmission paths between the structural units of the trestle structure are identified, and the force transmission topology network of the trestle structure is constructed. Load response analysis module: Perform load response vector analysis based on the force transmission topology network, construct a load response matrix, and establish a benchmark load response matrix based on the monitoring data of the trestle's healthy operation phase; Comparison module: Using the reference load response matrix, the real-time monitoring mechanical data of the trestle are compared to obtain the topological response difference matrix. Status assessment module: Calculates topology change index based on the topology response difference matrix, and determines the health index of the trestle structure based on the topology change index, which serves as the health status assessment result.

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