Health monitoring and early warning method and system after single-column pier bridge reinforcement

Abstract

The invention discloses a health monitoring and early warning method and system for a reinforced single-column pier bridge, belongs to the technical field of bridge health monitoring, ensures data accuracy and reliability through a customized monitoring scheme, utilizes real-time monitoring data and finite element model analysis, accurately evaluates a bridge state, and timely discovers and early warns potential safety hazards. The method not only strengthens the monitoring of the specific structure problem of the reinforced bridge, but also improves the monitoring efficiency and economy through resource optimization configuration. And in combination with finite element model correction, the precision and practicability of bridge state prediction are remarkably improved. In addition, the accuracy and timeliness of early warning are ensured by a self-adaptive adjustment mechanism of early warning indexes, and the risk of missing report is effectively reduced. According to the method, a scientific and efficient solution is provided for safety management of the reinforced single-column pier bridge.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge health monitoring, and more particularly to a health monitoring and early warning method and system for a reinforced single-column pier bridge. Background Art

[0002] For urban infrastructure, single-column pier bridges are widely used in the design of viaducts, overpasses, ramp bridges and other bridges due to their advantages of small space occupation, low cost and strong linear adaptability. However, in recent years, urban traffic pressure has increased significantly, and problems such as vehicle load overload and irregular driving behavior are common. The risk of overturning of single-column pier bridge structures is extremely high, posing a serious threat to the lives and property of pedestrians and the urban economy. Therefore, the maintenance and management of bridges have become the key to ensuring the safe operation of bridges. However, in recent years, the number of single-column pier bridge reinforcement projects has increased, but the health monitoring methods after reinforcement have not been followed up in time, resulting in many limitations in the application of existing bridge health monitoring technologies. After the single-column pier bridge is reinforced, its structural system, stress mode and damage mechanism have changed significantly. Therefore, the original bridge monitoring scheme is no longer applicable to the reinforced bridge. Therefore, how to provide a health monitoring and early warning method and system for the reinforced single-column pier bridge is a problem that technicians in this field need to solve urgently. Summary of the invention

[0003] In view of this, the present invention provides a health monitoring and early warning method and system for a single-column pier bridge after reinforcement, so as to meet the special monitoring requirements of the single-column pier bridge after reinforcement.

[0004] In order to achieve the above object, the present invention adopts the following technical solution:

[0005] On the one hand, the present invention provides a health monitoring and early warning method for a reinforced single-column pier bridge, comprising:

[0006] Obtain reinforcement solutions for single-column pier bridges;

[0007] Determining a post-reinforcement monitoring plan based on the reinforcement plan;

[0008] Real-time monitoring of bridge parameters and load-bearing data based on the monitoring scheme;

[0009] Establishing a finite element model according to the bridge parameters and load-bearing data, and performing finite element analysis using the finite element model;

[0010] Issue early warning based on finite element analysis results.

[0011] Preferably, after performing finite element analysis using a finite element model, the method also includes: obtaining the residual between the finite element analysis result and the monitoring result, if the residual exceeds a preset value, correcting the finite element model, and using the corrected finite element model to perform finite element analysis; if the residual does not exceed the preset value, the finite element model is not corrected.

[0012] Preferably, the finite element model is modified, comprising:

[0013] Conduct sensitivity analysis on the parameters of the finite element model and obtain sensitivity analysis results;

[0014] The Bayesian optimization method is used to sample sample points, and a Gaussian process proxy model is constructed based on the sample points.

[0015] Performing an accuracy test on the Gaussian process proxy model, and reconstructing the Gaussian process proxy model if the accuracy requirement is not met;

[0016] With the goal of minimizing the residual between the finite element analysis result and the monitoring result, an objective function is constructed, and a particle swarm optimization algorithm is used as an iterative algorithm to perform optimization and solution to obtain an optimization result. The particle swarm optimization algorithm iteratively adjusts the parameters of the finite element model based on the objective function;

[0017] According to the sensitivity analysis result and the optimization result, the parameters of the finite element model are modified.

[0018] Preferably, a Bayesian optimization method is used to sample sample points, and a Gaussian process proxy model is constructed based on the sample points, including:

[0019] Initialize the sample, set the sample parameters to obtain the initial sample, and generate the initial sample points;

[0020] Construct a Gaussian process surrogate model, evaluate the actual objective function value of the sample points to form a sample set, and construct a Gaussian process surrogate model;

[0021] Establishing a collection function: Establishing a collection function based on the Gaussian process proxy model to form a new sample;

[0022] Output the optimal solution, add the new sample to the sample set, and determine whether the maximum number of iterations has been reached. If so, output the optimal solution. If not, return to update and build the Gaussian process proxy model.

[0023] Preferably, determining a post-reinforcement monitoring plan based on the reinforcement plan includes:

[0024] Obtaining a damaged position of the single-column pier bridge based on a reinforcement plan;

[0025] Constructing a finite element model of the reinforced single-column pier bridge based on the reinforcement scheme;

[0026] Based on the reinforced finite element model, the stress analysis was carried out to obtain the stress characteristics of the reinforced single-column pier bridge, the change characteristics of the foundation and surrounding structures;

[0027] A monitoring plan is determined based on the damaged location, the stress characteristics of the single-column pier bridge, and the change characteristics of the foundation and surrounding structures.

[0028] Preferably, the early warning is performed according to the finite element analysis results, including:

[0029] Determining whether the single-column pier bridge has abnormal changes according to the finite element analysis results and the early warning indicators corresponding to the finite element analysis results;

[0030] If the abnormal change is greater than the preset value, a warning signal will be issued immediately or traffic will be directly interrupted; if the abnormal change is less than or equal to the preset value, the bridge structure damage identification and safety inspection will be immediately triggered to analyze and evaluate the entire bridge, and then determine whether to return a warning signal based on the evaluation results.

[0031] Preferably, the method further comprises:

[0032] Determine the actual state parameters of the single-column pier bridge according to the evaluation results;

[0033] Determining the degree of change in bridge performance based on previous state parameters and actual state parameters of the single-column pier bridge;

[0034] Obtaining an early warning indicator adjustment factor according to the degree of change in bridge performance;

[0035] According to the warning indicator adjustment factor warning indicator, the warning indicator after the adaptive adjustment is obtained.

[0036] On the other hand, the present invention also provides a health monitoring and early warning system for a reinforced single-column pier bridge, comprising:

[0037] An input module is used to obtain the reinforcement scheme of the single-column pier bridge;

[0038] A scheme adjustment module, used to determine a post-reinforcement monitoring scheme based on the reinforcement scheme;

[0039] A monitoring module, used for real-time monitoring of bridge parameters and load-bearing data based on the monitoring scheme;

[0040] An analysis module, used to establish a finite element model according to the bridge parameters and load-bearing data, and perform finite element analysis using the finite element model;

[0041] Early warning module, which issues early warning based on the results of finite element analysis.

[0042] It can be seen from the above technical solutions that, compared with the prior art, the present invention discloses a health monitoring and early warning method and system for a reinforced single-column pier bridge. By redefining the monitoring scheme for the reinforced single-column pier bridge, the accuracy and reliability of the monitoring data are ensured, and the actual state of the bridge is more accurately evaluated, and potential safety hazards are discovered in time and early warnings are issued. At the same time, redefining the monitoring scheme for the reinforced bridge can strengthen monitoring of specific structural problems or damages of the bridge. This targeted monitoring helps to gain a deeper understanding of the reinforcement effect and evaluate the performance improvement of the reinforced bridge. Based on the characteristics of the reinforced bridge, the monitoring resources are reallocated and optimized to ensure the effectiveness and economy of the monitoring work, improve resource utilization efficiency, and reduce monitoring costs. Furthermore, the present invention improves the accuracy of bridge monitoring and analysis through finite element model correction, ensuring that the state prediction of the model has practical significance. Furthermore, the early warning indicators of the present invention are adaptively adjusted to ensure the accuracy of bridge health early warnings and reduce the occurrence of missed early warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0044] Figure 1 A flow chart of the method provided by the present invention;

[0045] Figure 2 This is a schematic diagram of the system structure provided by the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] The embodiment of the present invention discloses a health monitoring and early warning method for a reinforced single-column pier bridge. Figure 1 As shown, including:

[0048] Step 1: Obtain the reinforcement plan for the single-column pier bridge.

[0049] The reinforcement of a single-column pier bridge is usually based on a comprehensive consideration of multiple factors, including the current structural state of the bridge, traffic flow, design load requirements, geological conditions, and expected future load growth. Common reinforcement measures include adding support structures (such as adding lateral supports, diaphragms, or using external prestressed cables), increasing the cross-sectional size of the pier, improving the bearing capacity of the foundation, and optimizing the connection between the pier and the superstructure. These measures are intended to improve the overall stability, bearing capacity, and seismic performance of the bridge.

[0050] Step 2: Determine the post-reinforcement monitoring plan based on the reinforcement plan.

[0051] After completing the reinforcement plan design, the next step is to determine the monitoring plan after reinforcement. The monitoring content includes:

[0052] (1) Structural deformation monitoring

[0053] Displacement monitoring: Use total station or GPS measurement technology to regularly monitor the horizontal and vertical displacement of bridge piers, cap beams and main beams to ensure there is no abnormal deformation.

[0054] Deflection monitoring: The reinforcement measures have increased the structural stiffness of the bridge, significantly reducing the deflection increment. Under the same heavy vehicle traffic conditions, the deflection increment of the reinforced span is usually smaller than the deflection increment of the comparison span.

[0055] (2) Stress and strain monitoring

[0056] Strain monitoring: Install strain gauges or fiber grating sensors on reinforced parts (such as new steel plates, carbon fiber layers, etc.) and key load-bearing components to monitor stress and strain in real time to ensure that they do not exceed the design allowable value. The reinforcement measures effectively reduce the tensile stress caused by vehicle loads on the bridge. After the reinforcement is completed, the pre-compression stress generated by the external beam on the bottom of the reinforced span beam is usually greater than the maximum tensile stress generated by the vehicle load measured during the observation period, so that the beam body does not generate tensile stress at the bottom of the beam under the reinforcement pre-compression. Special attention should be paid to the connection between the reinforced part and the original structure to prevent damage caused by stress concentration.

[0057] (3) Crack monitoring

[0058] Through reinforcement measures (such as prestressed carbon plate + external prestressed steel beam reinforcement, etc.), the stress performance of the bridge is improved, and the cracks are controlled or closed. Under the action of conventional vehicle loads, the original cracks will not crack under the action of the reinforcement prestress, and even when a few heavy-loaded trucks or multiple trucks are running in parallel, the fluctuation of the crack value will be significantly reduced. However, after the cracks that have been found are repaired, the repair effect should be continuously monitored to ensure that the cracks do not expand.

[0059] (4) Vibration monitoring

[0060] Modal analysis: Obtain the modal parameters of the bridge (such as natural frequency, vibration mode, etc.) through vibration testing to evaluate the overall stiffness and dynamic performance of the bridge.

[0061] Vibration response monitoring: Monitor the vibration response of the bridge under vehicle or wind loads to ensure it is within the design allowable range.

[0062] Step 3: Monitor bridge parameters and load-bearing data in real time based on the monitoring plan.

[0063] Step 4: Establish a finite element model based on bridge parameters and load-bearing data, and use the finite element model to perform finite element analysis.

[0064] The finite element model should be able to accurately reflect the key factors of the bridge, such as structural characteristics, material properties, and loading conditions. Using this model for detailed finite element analysis can simulate key indicators such as the stress state, deformation, and stability of the bridge under different working conditions.

[0065] Step 5: Issue early warning based on finite element analysis results.

[0066] By deeply interpreting the analysis results, we can identify the potential safety hazards or weak links of the bridge. On this basis, combined with the actual operation of the bridge and the monitoring data, we can formulate corresponding early warning mechanisms and emergency measures. Once the bridge parameters are detected to be abnormal or close to the early warning threshold, the early warning system will be activated immediately to notify relevant personnel to take necessary countermeasures to ensure the safe operation of the bridge.

[0067] Furthermore, after using the finite element model to perform finite element analysis, it also includes: obtaining the residual between the finite element analysis results and the monitoring results. If the residual exceeds a preset value, the finite element model is corrected, and the corrected finite element model is used to perform finite element analysis; if the residual does not exceed the preset value, the finite element model is not corrected.

[0068] Furthermore, the finite element model was modified, including:

[0069] Perform sensitivity analysis on the parameters of the finite element model to obtain sensitivity analysis results; use global sensitivity analysis methods (such as Sobol index, variance decomposition, etc.) to quantify the contribution of each parameter and its interaction to the total variance of the model output, and determine which parameters have the greatest impact on the model output based on the sensitivity index of each parameter.

[0070] The Bayesian optimization method is used to sample sample points, and a Gaussian process proxy model is constructed based on the sample points.

[0071] Perform accuracy test on Gaussian process proxy model. If the accuracy requirement is not met, rebuild the Gaussian process proxy model.

[0072] With the goal of minimizing the residual between the finite element analysis results and the monitoring results, an objective function is constructed, and the particle swarm optimization algorithm is used as an iterative algorithm for optimization and solution to obtain the optimization result. The particle swarm optimization algorithm iteratively adjusts the parameters of the finite element model based on the objective function.

[0073] According to the sensitivity analysis and optimization results, the parameters of the finite element model are modified.

[0074] Furthermore, the Bayesian optimization method is used to sample sample points, and a Gaussian process proxy model is constructed based on the sample points, including:

[0075] Initialize the sample, set the sample parameters to obtain the initial sample, and generate the initial sample points;

[0076] Construct a Gaussian process surrogate model, evaluate the actual objective function value of the sample points to form a sample set, and construct a Gaussian process surrogate model;

[0077] Establishing a collection function: Establishing a collection function based on the Gaussian process proxy model to form a new sample;

[0078] Output the optimal solution, add the new sample to the sample set, and determine whether the maximum number of iterations has been reached. If so, output the optimal solution. If not, return to update and build the Gaussian process proxy model.

[0079] In another embodiment, determining a post-reinforcement monitoring plan based on the reinforcement plan includes:

[0080] Obtain the damaged location of the single-column pier bridge based on the reinforcement plan;

[0081] Construct a finite element model of the reinforced single-column pier bridge based on the reinforcement plan; use finite element modeling software (such as ANSYS, Abaqus, etc.) to accurately construct the geometric model of the bridge according to the reinforced design plan, including the detailed size and position of the reinforced components; define the corresponding material properties in the model according to the physical and mechanical properties of the bridge raw materials and reinforcement materials, such as elastic modulus, Poisson's ratio, yield strength, etc.; set reasonable boundary conditions (such as support constraints, foundation reaction forces, etc.) and load conditions (such as dead loads, live loads, wind loads, temperature loads, etc.) according to the actual working environment of the bridge.

[0082] Based on the reinforced finite element model, a stress analysis is performed to obtain the stress characteristics of the reinforced single-column pier bridge, the change characteristics of the foundation and surrounding structures; specifically, the overall stress analysis and local stress analysis of the bridge as well as the impact analysis of the foundation and surrounding structures are performed. The overall stress analysis of the bridge includes: evaluating the overall deformation, stress distribution and stability of the reinforced bridge under various loads to ensure that the bridge meets the requirements for safe use. The local stress analysis includes focusing on the stress conditions in the reinforced area, analyzing the effectiveness of the reinforcement measures and their impact on the overall stress of the bridge. The impact analysis on the foundation and surrounding structures includes simulating the additional stress and deformation of the foundation after the bridge reinforcement, as well as the potential impact of these changes on surrounding structures (such as adjacent bridges, roads, buildings, etc.).

[0083] The monitoring plan is determined based on the damaged location, the stress characteristics of the single-column pier bridge, and the changing characteristics of the foundation and surrounding structures.

[0084] In another embodiment, providing an early warning based on the finite element analysis result includes:

[0085] Determine whether the single-column pier bridge has abnormal changes based on the finite element analysis results and the early warning indicators corresponding to the finite element analysis results;

[0086] If the abnormal change is greater than the preset value, an early warning signal will be issued immediately or traffic will be interrupted directly; if the abnormal change is less than or equal to the preset value, the bridge structure damage identification and safety inspection will be immediately triggered to analyze and evaluate the entire bridge, and then determine whether to return the early warning signal based on the evaluation results.

[0087] In another embodiment, the above method further includes:

[0088] Determine the actual status parameters of the single-pillar pier bridge based on the evaluation results;

[0089] Determine the degree of change in bridge performance based on previous state parameters and actual state parameters of the single-pillar pier bridge;

[0090] Obtaining early warning indicator adjustment factors according to the degree of change in bridge performance;

[0091] According to the warning indicator adjustment factor warning indicator, the warning indicator after adaptive adjustment is obtained.

[0092] On the other hand, the present invention also provides a health monitoring and early warning system for a reinforced single-column pier bridge, referring to Figure 2 ,include:

[0093] An input module is used to obtain the reinforcement scheme of the single-column pier bridge;

[0094] A scheme adjustment module is used to determine a post-reinforcement monitoring scheme based on the reinforcement scheme;

[0095] Monitoring module, used to monitor bridge parameters and load-bearing data in real time based on the monitoring scheme;

[0096] An analysis module is used to establish a finite element model based on bridge parameters and load-bearing data, and to perform finite element analysis using the finite element model;

[0097] Early warning module, which issues early warning based on the results of finite element analysis.

[0098] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0099] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A health monitoring and early warning method for a reinforced single-column pier bridge, characterized in that: include: Obtain reinforcement solutions for single-column pier bridges; Determining a post-reinforcement monitoring plan based on the reinforcement plan; Real-time monitoring of bridge parameters and load-bearing data based on the monitoring scheme; Establishing a finite element model according to the bridge parameters and load-bearing data, and performing finite element analysis using the finite element model; Issue early warning based on finite element analysis results.

2. The health monitoring and early warning method for a reinforced single-column pier bridge according to claim 1 is characterized in that: After performing finite element analysis using the finite element model, it also includes: obtaining the residual between the finite element analysis result and the monitoring result. If the residual exceeds a preset value, the finite element model is corrected, and the corrected finite element model is used to perform finite element analysis; if the residual does not exceed the preset value, the finite element model is not corrected.

3. The health monitoring and early warning method for a reinforced single-column pier bridge according to claim 2 is characterized in that: The finite element model is modified, including: Conduct sensitivity analysis on the parameters of the finite element model and obtain sensitivity analysis results; The Bayesian optimization method is used to sample sample points, and a Gaussian process proxy model is constructed based on the sample points. Performing an accuracy test on the Gaussian process proxy model, and reconstructing the Gaussian process proxy model if the accuracy requirement is not met; With the goal of minimizing the residual between the finite element analysis result and the monitoring result, an objective function is constructed, and a particle swarm optimization algorithm is used as an iterative algorithm to perform optimization and solution to obtain an optimization result. The particle swarm optimization algorithm iteratively adjusts the parameters of the finite element model based on the objective function; According to the sensitivity analysis result and the optimization result, the parameters of the finite element model are modified.

4. The health monitoring and early warning method for a reinforced single-column pier bridge according to claim 3 is characterized in that: The Bayesian optimization method is used to sample sample points, and a Gaussian process proxy model is constructed based on the sample points, including: Initialize the sample, set the sample parameters to obtain the initial sample, and generate the initial sample points; Construct a Gaussian process surrogate model, evaluate the actual objective function value of the sample points to form a sample set, and construct a Gaussian process surrogate model; Establishing a collection function: Establishing a collection function based on the Gaussian process proxy model to form a new sample; Output the optimal solution, add the new sample to the sample set, and determine whether the maximum number of iterations has been reached. If so, output the optimal solution. If not, return to update and build the Gaussian process proxy model.

5. The health monitoring and early warning method for a reinforced single-column pier bridge according to claim 1 is characterized in that: Determine a post-reinforcement monitoring plan based on the reinforcement plan, including: Obtaining a damaged position of the single-column pier bridge based on a reinforcement plan; Constructing a finite element model of the reinforced single-column pier bridge based on the reinforcement scheme; Based on the reinforced finite element model, the stress analysis was carried out to obtain the stress characteristics of the reinforced single-column pier bridge, the change characteristics of the foundation and surrounding structures; A monitoring plan is determined based on the damaged location, the stress characteristics of the single-column pier bridge, and the change characteristics of the foundation and surrounding structures.

6. The health monitoring and early warning method for a reinforced single-column pier bridge according to claim 1 is characterized in that: Early warning based on finite element analysis results, including: Determining whether the single-column pier bridge has abnormal changes according to the finite element analysis results and the early warning indicators corresponding to the finite element analysis results; If the abnormal change is greater than the preset value, a warning signal will be issued immediately or traffic will be directly interrupted; if the abnormal change is less than or equal to the preset value, the bridge structure damage identification and safety inspection will be immediately triggered to analyze and evaluate the entire bridge, and then determine whether to return a warning signal based on the evaluation results.

7. The health monitoring and early warning method for a reinforced single-column pier bridge according to claim 6 is characterized in that: The method further comprises: Determine the actual state parameters of the single-column pier bridge according to the evaluation results; Determining the degree of change in bridge performance based on previous state parameters and actual state parameters of the single-column pier bridge; Obtaining an early warning indicator adjustment factor according to the degree of change in bridge performance; According to the warning indicator adjustment factor warning indicator, the warning indicator after the adaptive adjustment is obtained.

8. A system for implementing the health monitoring and early warning method of a reinforced single-column pier bridge as described in any one of claims 1 to 7, characterized in that: include: An input module is used to obtain the reinforcement scheme of the single-column pier bridge; A scheme adjustment module, used to determine a post-reinforcement monitoring scheme based on the reinforcement scheme; A monitoring module, used for real-time monitoring of bridge parameters and load-bearing data based on the monitoring scheme; An analysis module, used to establish a finite element model according to the bridge parameters and load-bearing data, and perform finite element analysis using the finite element model; Early warning module, which issues early warning based on the results of finite element analysis.

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