An analysis method for dynamic response index of concrete arch dam structure under earthquake influence

Abstract

The application discloses a kind of seismic influence's concrete arch dam structure dynamic response index analysis method, comprising: multiple data acquisition sensors collect the multiple displacement response and stress response index of each unit time concrete arch dam, the damage index of each unit time concrete arch dam working state, and the data collected is stored and sent to the engineer data set control center;Data is normalized, and different physical quantity dimension data is mapped to the same numerical range;According to the structural characteristics of concrete arch dam, the arch dam is divided into different nodes, and the node feature matrix is constructed;Multiple displacement response and stress response index, damage index are not in the preset safety limit boundary condition, then generate concrete arch dam maintenance repair instruction, and feedback to concrete arch dam structure safety analysis model interface through multimodal data set control server.The application can issue concrete arch dam maintenance repair instruction in time, improve analysis efficiency.

Description

Technical Field

[0001] This invention relates to the field of safety analysis of concrete arch dam structures, and in particular to a method for analyzing the dynamic response index of concrete arch dam structures under the influence of earthquakes. Background Technology

[0002] In the field of modern engineering, concrete arch dams, as important hydraulic engineering structures, play a crucial role in flood control and power generation. However, due to their geographical location, they are often threatened by natural disasters such as earthquakes, making precise analysis of their structural dynamic response under seismic influence particularly important. By gaining a thorough understanding of the changes in various indicators such as displacement, stress, and damage of arch dams under seismic loading, engineers can assess the safety of the arch dam structure and take timely measures to ensure its stable operation. This is the important background for conducting research on such analytical methods.

[0003] Existing methods for analyzing the dynamic response of concrete arch dam structures mostly rely on traditional mechanical models and limited measured data for calculation and evaluation. For example, they use theoretical calculations to deduce the stress distribution in different parts of the arch dam under seismic conditions, or they rely on simple comparative analyses based on data collected by sensors placed at a few key locations. While these methods can reflect the state of the arch dam to some extent, they have significant limitations.

[0004] The most prominent drawback is that existing analytical methods do not fully utilize the big data models of neural networks. Traditional methods struggle to process massive and complex data, failing to uncover hidden deep-seated features and patterns. Furthermore, the dynamic response of arch dam structures under earthquake influence involves numerous variables and complex interrelationships. Analyzing these using limited data and conventional models makes it difficult to comprehensively and accurately grasp the actual situation, often leading to significant biases in the analysis results. This, in turn, affects the scientific basis of subsequent assessments of arch dam safety and maintenance decisions, hindering the long-term safe and reliable functioning of arch dams.

[0005] To address the aforementioned issues, this application proposes a method for analyzing the dynamic response index of concrete arch dam structures affected by earthquakes. Summary of the Invention

[0006] In order to overcome the shortcomings and deficiencies of existing technologies, this invention provides a method for analyzing the dynamic response index of concrete arch dam structures affected by earthquakes.

[0007] This invention provides a method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes, comprising:

[0008] The engineer's data control center sends structural dynamic response index analysis signals to the multimodal data monitoring and acquisition platform for the impact of earthquakes on concrete arch dams;

[0009] After receiving the structural dynamic response index analysis signal, the multimodal data monitoring and acquisition platform for the earthquake-affected concrete arch dam collects various displacement and stress response indices of the concrete arch dam per unit time, as well as damage indices of the working state of the concrete arch dam per unit time, using multiple data acquisition sensors. The platform then stores the collected data and sends it to the engineer's data control center.

[0010] The system receives data containing displacement response indicators, stress response indicators, and damage indicators from the multimodal data set control server, performs normalization processing on the data, and maps data with different physical dimensions to the same numerical range.

[0011] Based on the structural characteristics of concrete arch dams, the arch dam is divided into different nodes, and a node feature matrix is ​​constructed. The feature vector of each node contains the displacement, stress and damage index information of the corresponding node. At the same time, an adjacency matrix is ​​constructed based on the geometric structure and physical connection relationship of the arch dam to represent the connection relationship between nodes.

[0012] The engineer's data control center determines whether the various displacement response and stress response indicators and damage indicators are within the preset safety limit boundary conditions; if the various displacement response and stress response indicators and damage indicators are not within the preset safety limit boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server.

[0013] Furthermore, the various displacement and stress response indicators include: horizontal displacement, vertical displacement, dam surface deformation and principal stress, shear stress, and stress concentration areas.

[0014] Furthermore, the damage indicators include: the crack development of the concrete arch dam and the degradation of material properties.

[0015] Furthermore, it also includes: setting up a structural safety early warning model analysis library in advance within the engineer's data control center, and storing information on the variation ranges of the various displacement response and stress response indicators, damage indicators, and structural safety early warning types in the structural safety early warning model analysis library.

[0016] Furthermore, if the various displacement response and stress response indices and damage indices are not within the preset safety boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data set control server, including:

[0017] The engineer data control center will evaluate the various displacement response and stress response indicators and damage indicators received against the structural safety early warning types in the structural safety early warning model analysis library.

[0018] Based on the evaluation results, the engineer's data control center sends the corresponding maintenance and repair instructions for the concrete arch dam to the multimodal data control server.

[0019] Furthermore, if the various displacement response and stress response indices and damage indices are not within the preset safety boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data set control server. This also includes:

[0020] Indicator Monitoring and Judgment: Sensors installed at key parts of the concrete arch dam are used to collect displacement response data and stress response data in real time, as well as damage index data through periodic inspections or non-destructive testing techniques. Pre-set safety limit boundary conditions are set in the data acquisition system. These conditions are determined based on arch dam design specifications, past experience, and numerical simulation analysis results. When the collected data indicates that the displacement response index, stress response index, and damage index exceed the corresponding safety limit boundary conditions, a maintenance and repair instruction generation mechanism is triggered.

[0021] Maintenance and repair instruction generation and transmission: The signal processing unit in the monitoring system generates maintenance and repair instructions for the concrete arch dam based on the exceedance of indicators. The signal contains key information such as the type, location, and degree of exceedance of the indicators. The maintenance and repair instructions are transmitted to the multimodal data set control server through network communication.

[0022] Multimodal Data Set Control Server Processing and Feedback: After receiving the prompt signal, the multimodal data set control server parses and organizes the signal, extracts relevant detailed data information, and packages and transmits the over-limit information and related data to the concrete arch dam structure safety analysis model interface according to the preset communication protocol and interface.

[0023] Structural safety analysis model interface presentation and step generation: After receiving data from the multimodal data set control server, the interface of the concrete arch dam structural safety analysis model intuitively displays the details of the specific indicators exceeding the limits and the specific parts of the arch dam that exceed the limits, presented in the form of charts and text warnings.

[0024] Furthermore, the step of feeding back the multimodal data set control server to the concrete arch dam structural safety analysis model interface includes: the multimodal data set control server feeding back the concrete arch dam maintenance and repair instructions to the concrete arch dam structural safety analysis model interface through tags.

[0025] This invention also provides a system for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes, including a control server for the concrete arch dam, multiple safety monitoring points for the concrete arch dam structure, a multimodal data control server, and a safety analysis model interface for the concrete arch dam structure. The control server for the concrete arch dam is equipped with an engineer data control center, and each of the multiple safety monitoring points for the concrete arch dam structure is equipped with a multimodal data monitoring and acquisition platform for the concrete arch dam affected by earthquakes.

[0026] The engineer's data control center is used to send structural dynamic response index analysis signals to the multimodal data monitoring and acquisition platform for the impact of earthquakes on concrete arch dams;

[0027] The earthquake-affected concrete arch dam multimodal data monitoring and acquisition platform is used to receive structural dynamic response index analysis signals, and then use multiple data acquisition sensors to collect various displacement response and stress response indices of the concrete arch dam per unit time, as well as damage indices of the concrete arch dam's working state per unit time. The platform also stores the collected data and sends it to the engineer's data control center.

[0028] The engineer data control center is also used to determine whether the various displacement response and stress response indicators and damage indicators are within the preset safety limit boundary conditions; if the various displacement response and stress response indicators and damage indicators are not within the preset safety limit boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server.

[0029] Furthermore, the multimodal data set control server is used to feed back maintenance and repair instructions for the concrete arch dam to the interface of the concrete arch dam structural safety analysis model via tags.

[0030] Furthermore, the engineer data control center is used to evaluate the received multiple displacement response and stress response indicators, damage indicators and structural safety early warning types in the structural safety early warning model analysis library; and based on the evaluation results, to send the corresponding concrete arch dam maintenance and repair instructions to the multimodal data control server.

[0031] This invention provides a method for analyzing the dynamic response indicators of concrete arch dam structures under earthquake influence. This method utilizes a neural network with powerful data processing capabilities, integrating massive amounts of data from different sensors, time periods, and various types of data (such as displacement, stress, and damage) related to concrete arch dams under earthquake influence. It fully uncovers the complex relationships and characteristics hidden within this data, avoiding the problem of incomplete reflection of actual conditions caused by the limited data volume of traditional analysis methods. Secondly, the big data model can adaptively learn patterns from the data. Through training on a large amount of historical and real-time monitoring data, it can accurately capture the inherent logic of the changes in the dynamic response indicators of the arch dam structure with factors such as earthquake intensity and frequency, thus more accurately predicting the changing trends of various indicators under different earthquake conditions. Furthermore, the nonlinear mapping capability of the neural network allows it to effectively handle the complex nonlinear system of arch dam structures. Whether analyzing the correlation between different locations in the displacement response, the complex stress changes in stress concentration areas, or the complex situations such as crack development in damage indicators, it can provide accurate results that fit reality. This provides engineers with a reliable basis for accurately judging the safety of arch dam structures and scientifically formulating maintenance and reinforcement strategies, effectively ensuring the long-term stable operation of concrete arch dams under earthquake threats. Attached Figure Description

[0032] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0033] Figure 1 This is a schematic diagram of the first process of a method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes, provided in an embodiment of the present invention.

[0034] Figure 2 This is a schematic diagram of the second process of a method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes, provided in an embodiment of the present invention. Detailed Implementation

[0035] It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be combined with each other. The following describes the application in further detail with reference to the accompanying drawings and specific embodiments.

[0036] Please see Figure 1 The present invention provides a flowchart illustrating a method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes. The method includes:

[0037] Step S100: The engineer's data control center sends the structural dynamic response index analysis signal to the multimodal data monitoring and acquisition platform for the seismic impact of concrete arch dams;

[0038] Step S200: After receiving the structural dynamic response index analysis signal, the multi-modal data monitoring and acquisition platform for the earthquake-affected concrete arch dam collects various displacement response and stress response indices of the concrete arch dam per unit time, as well as damage indices of the working state of the concrete arch dam per unit time, using multiple data acquisition sensors. The collected data is then stored and sent to the engineer's data control center.

[0039] Step S300: Receive data containing displacement response index, stress response index and damage index from the multimodal data set control server, normalize the data, and map data with different physical dimensions to the same numerical range.

[0040] Step S400: Based on the structural characteristics of the concrete arch dam, the arch dam is divided into different nodes, and a node feature matrix is ​​constructed. The feature vector of each node contains the displacement, stress and damage index information corresponding to that node. At the same time, an adjacency matrix is ​​constructed based on the geometric structure and physical connection relationship of the arch dam to represent the connection relationship between nodes.

[0041] Step S500: The engineer data control center determines whether the various displacement response and stress response indicators and damage indicators are within the preset safety limit boundary conditions; if the various displacement response and stress response indicators and damage indicators are not within the preset safety limit boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server.

[0042] In this embodiment of the invention, the engineer's data control center can send structural dynamic response index analysis signals to the multimodal data monitoring platform for earthquake-affected concrete arch dams. The multimodal data monitoring platform can then control the acquisition of various displacement response, stress response, and damage indices based on the structural dynamic response index analysis signals and feed them back to the engineer's data control center. This allows the engineer's data control center to determine whether these indices are within safe boundary conditions. If not, it automatically generates a maintenance and repair instruction for the concrete arch dam and feeds it back to the concrete arch dam structural safety analysis model interface via the multimodal data control server. Management personnel can then promptly receive structural safety warnings for the concrete arch dam per unit time and take timely action to prevent damage to the concrete arch dam per unit time. The method provided in this embodiment of the invention can automatically perform inspections and promptly issue maintenance and repair instructions for the concrete arch dam, improving analysis efficiency and reducing costs. Furthermore, the method for analyzing the structural dynamic response indices of earthquake-affected concrete arch dams provided in this embodiment of the invention is mainly executed at the engineer's data control center and the multimodal data monitoring platform for earthquake-affected concrete arch dams, resulting in a fast response speed.

[0043] Specifically, in step S100, the engineer data control center can send structural dynamic response index analysis signals to the multimodal data monitoring and acquisition platform for the concrete arch dam affected by earthquakes in different ways. For example, the structural dynamic response index analysis signals can be sent in a timed manner, that is, the structural dynamic response index analysis signals can be sent once every the same period of time. This period of time can be the default period of the device or a custom period of time.

[0044] Alternatively, structural dynamic response index analysis signals can be sent intermittently, meaning they are sent at varying intervals. This method can be manually initiated by management personnel, who can assess the need for signal transmission based on experience or actual work conditions. Another approach is to pre-divide each cycle into several time periods and set a time interval for each. Within a given time period, structural dynamic response index analysis signals are sent at regular intervals. This method is essentially a timed inspection, but with varying time intervals across different time periods. The advantage of setting different time periods is that the detection frequency can be tailored accordingly.

[0045] In step S200, the multiple data acquisition sensors are activated, and according to the type of each sensor in the sensor group, they collect multiple displacement response and stress response indicators of the concrete arch dam per unit time, as well as damage indicators of the working state of the concrete arch dam per unit time.

[0046] The various displacement and stress response indicators include: horizontal displacement, vertical displacement, dam surface deformation and principal stress, shear stress, and stress concentration areas. The damage indicators include: crack development in the concrete arch dam and material property degradation.

[0047] The above data can be collected by corresponding sensors. The combination of various sensors can be collectively referred to as a sensor group. A sensor group can be set on the concrete arch dam for each unit time, so as to collect various displacement response and stress response indicators of the concrete arch dam for each unit time, as well as damage indicators of the working state of the concrete arch dam for each unit time, thereby realizing the remote early warning function of the concrete arch dam for each unit time.

[0048] The aforementioned displacement response, stress response, and damage indicators each have different functions. For example, the various displacement and stress response indicators can directly reflect the current state of the concrete arch dam per unit time and determine whether a structural safety warning has occurred per unit time. The damage indicators for the concrete arch dam's working state per unit time can directly reflect the current working state of the concrete arch dam per unit time, such as whether there have been significant changes in the working state or whether there have been deteriorations. This allows for prediction of whether a structural safety warning will occur per unit time, enabling timely intervention.

[0049] The multimodal data monitoring platform for earthquake-affected concrete arch dams can store the data collected by the sensor array and eventually send it to the engineer's data control center.

[0050] In step S500, after receiving the various displacement response and stress response indicators and damage indicators, the engineer data control center can determine whether the various displacement response and stress response indicators and damage indicators are within the preset safety limit boundary conditions.

[0051] If the various displacement response and stress response indices and damage indices are not within the preset safety limit boundary conditions, that is, if the various displacement response and stress response indices and damage indices are not within the preset safety limit boundary conditions, then it is necessary to generate a maintenance and repair instruction for the concrete arch dam and feed it back to the concrete arch dam structural safety analysis model interface through the multimodal data set control server.

[0052] The interface of the concrete arch dam structural safety analysis model can be used by maintenance personnel, allowing them to promptly address any ongoing or impending structural safety warnings for the concrete arch dam within a given timeframe. Alternatively, the interface can be used by management personnel, enabling them to assign personnel to handle issues based on the area of ​​the concrete arch dam within a given timeframe.

[0053] The safety analysis model for the concrete arch dam structure analyzes information fed back from the multimodal data control server by combining graph neural network algorithms, including:

[0054] Using a Graph Convolutional Neural Network (GCN) as the basic model structure, the calculation formula for each layer of the GCN is as follows:

[0055]

[0056] in, A is the adjacency matrix, and I is the identity matrix. yes The degree matrix, H (l) W is the feature matrix of the nodes in the l-th layer. (l) σ is the trainable weight matrix of the l-th layer, and σ is the activation function.

[0057] Construct a multi-layered GCN network architecture, such as setting 3-5 GCN layers, to extract high-order feature information from concrete arch dam structural data, and learn the complex relationships between different nodes and the overall structural characteristics.

[0058] In the last layer of the model, a fully connected layer is used for classification tasks. For example, if the goal is to determine the safety status (safe, warning, dangerous, etc.) of an arch dam structure, the number of output nodes in the fully connected layer is determined based on the number of safety status categories, and a softmax activation function is used to convert the output into a probability distribution for each category.

[0059] Define a loss function, such as the cross-tab loss function. (where N is the number of samples, C is the number of classes, and y is the number of categories.) ic p is the true class label of the i-th sample. ic It is the probability that the model predicts the i-th sample belongs to the c-th class.

[0060] The constructed graph neural network model was trained using a large amount of labeled concrete arch dam structural data (including normal operation data and data under different degrees of damage or danger). The model's weight parameters were adjusted through the backpropagation algorithm to minimize the loss function, enabling the model to accurately determine the safety status of the arch dam based on the input structural response indicators.

[0061] The real-time collected and preprocessed concrete arch dam structural data is input into the trained graph neural network model.

[0062] The model outputs the probability distribution of the safety status of each node and the comprehensive safety status assessment result of the entire arch dam structure. For example, if the area corresponding to a certain node is judged to be in a dangerous state with a high probability, the structural condition of that area will be the focus of attention; if the probability of the overall arch dam structure being in a dangerous state exceeds a preset threshold, a comprehensive safety warning and corresponding countermeasures will be triggered.

[0063] Based on the model output, the distribution of safety status is displayed in a visual way on the interface of the concrete arch dam structure safety analysis algorithm. For example, different colors are used to mark the node areas of different safety statuses. At the same time, detailed numerical reports are provided, including the probability values ​​of each node and category, the overall safety status assessment index, etc., so that engineers can intuitively understand the safety status of the arch dam structure and make decisions.

[0064] In practical applications, the graph neural network model needs to be continuously optimized and updated based on new monitoring data and actual engineering conditions to improve its accuracy and adaptability.

[0065] To better analyze structural safety warnings for concrete arch dams per unit time, this embodiment of the invention preferably collects multiple displacement and stress response indices and damage indices of the concrete arch dam's working state per unit time simultaneously, and analyzes structural safety warnings based on these two types of information. When all the multiple displacement and stress response indices and damage indices are within preset safety boundary conditions, no maintenance / repair instruction for the concrete arch dam is generated. When any one of the multiple displacement and stress response indices and damage indices is outside the preset safety boundary conditions, a maintenance / repair instruction for the concrete arch dam is generated. This ensures timely detection and processing of structural safety warnings.

[0066] In one embodiment, the method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes further includes:

[0067] A structural safety early warning model analysis library is pre-set within the engineer's data control center, and information on the variation ranges of various displacement and stress response indices, damage indices, and structural safety early warning types is stored in the structural safety early warning model database.

[0068] In this embodiment, the variation ranges of various displacement response, stress response indicators, and damage indicators can be pre-stored in the structural safety early warning model analysis library. This allows the engineer's data control center to retrieve the corresponding variation ranges at any time and perform evaluations when conducting structural safety early warning analysis. At the same time, information on the type of structural safety early warning can also be stored in the structural safety early warning model analysis library, thus determining the type of structural safety early warning and facilitating maintenance personnel in handling structural safety early warnings.

[0069] like Figure 2 As shown, in one embodiment, if the various displacement response and stress response indices and damage indices are not within the preset safety boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data set control server. The instruction also includes:

[0070] Step A100, Index Monitoring and Judgment: Real-time displacement response data and stress response data are collected using sensors installed at key parts of the concrete arch dam, as well as damage index data obtained through periodic inspections or non-destructive testing techniques. Pre-set safety limit boundary conditions are set in the data acquisition system. These conditions are determined based on arch dam design specifications, past experience, and numerical simulation analysis results. When the collected data indicates that the displacement response index, stress response index, and damage index exceed the corresponding safety limit boundary conditions, the maintenance and repair instruction generation mechanism is triggered.

[0071] Step A200: Generation and transmission of maintenance and repair instructions: The signal processing unit in the monitoring system generates maintenance and repair instructions for the concrete arch dam based on the exceedance of indicators. The signal contains key information such as the type, location, and degree of exceedance of the indicators. The maintenance and repair instructions are transmitted to the multimodal data set control server via network communication.

[0072] Step A300: Multimodal Data Set Control Server Processing and Feedback: After receiving the prompt signal, the multimodal data set control server parses and organizes the signal, extracts relevant detailed data information, and packages and transmits the over-limit information and related data to the concrete arch dam structure safety analysis model interface according to the preset communication protocol and interface.

[0073] Step A400: Presentation and generation of the structural safety analysis model interface: After receiving data from the multimodal data set control server, the interface of the concrete arch dam structural safety analysis model intuitively displays the details of the specific indicators exceeding the limits and the specific parts of the arch dam that exceed the limits, presented in the form of charts and text warnings.

[0074] The engineer data control center will evaluate the various displacement response and stress response indicators and damage indicators received against the structural safety early warning types in the structural safety early warning model analysis library.

[0075] Based on the evaluation results, the engineer's data control center sends the corresponding maintenance and repair instructions for the concrete arch dam to the multimodal data control server.

[0076] After confirming that various displacement and stress response indices and damage indices are outside the preset variation range, these indices can be evaluated against the structural safety early warning types in the structural safety early warning model analysis library. Then, the maintenance and repair instructions for the concrete arch dam are sent to the multimodal data set control server. This server then feeds back to the concrete arch dam structural safety analysis model interface. This not only provides information on whether a structural safety early warning has occurred or is about to occur within a unit of time, but also information on what specific structural safety early warning has occurred within that unit of time, facilitating targeted processing.

[0077] In one embodiment, the step of feeding back the data to the concrete arch dam structural safety analysis model interface via the multimodal data set control server includes:

[0078] The multimodal data control server feeds back the maintenance and repair instructions for the concrete arch dam to the interface of the concrete arch dam structural safety analysis model through tags.

[0079] In step S100: This step is the starting trigger point for the entire analysis process. The engineer's data control center, as the control core of the entire system, proactively initiates the analysis command for the dynamic response indicators of the concrete arch dam structure. By sending specific structural dynamic response indicator analysis signals to the multimodal data monitoring and acquisition platform of the earthquake-affected concrete arch dam, it notifies the platform to begin data acquisition to obtain the various data required for subsequent analysis. This signal acts as a start command, ensuring that all aspects of the monitoring and analysis system operate in a coordinated and orderly manner.

[0080] In step S200: After receiving the instruction, the multimodal data monitoring platform activates various data acquisition sensors deployed at key locations of the concrete arch dam. These sensors are specifically designed to monitor changes in the physical state of the arch dam under conditions such as earthquakes.

[0081] Displacement response indicators are acquired using high-precision displacement sensors, which can accurately measure the horizontal and vertical displacements of different locations on the dam body, as well as the surface deformation of the dam body, within each unit of time. Horizontal displacement reflects the extent of movement of the dam body in the horizontal direction due to seismic forces, while vertical displacement reflects the settlement or uplift changes of the dam body in the vertical direction. Surface deformation of the dam body helps to understand the overall morphological changes of the dam body.

[0082] Stress response indicators are collected using stress sensors, which can measure the principal stresses, shear stress distribution, and stress concentration areas within the dam body. Principal stresses are crucial for determining the main tensile or compressive loads borne by the dam materials, while shear stresses reflect the shear forces acting on different parts of the dam body. Stress concentration areas require special attention because these areas are more prone to failure during earthquakes.

[0083] There are various methods for collecting damage indicators. For the development of cracks in concrete arch dams, crack monitoring instruments or regular manual inspections combined with image analysis technology may be used to determine the width, length, depth, and development trend of cracks. Material performance degradation can be assessed by periodically collecting concrete samples for material testing and analysis, or by using non-destructive testing techniques such as ultrasonic testing to indirectly evaluate the changes in key performance indicators such as concrete strength and elastic modulus over time and under seismic loads.

[0084] The collected data is first stored in a local cache or on a dedicated data storage device to prevent data loss. Simultaneously, this data is sent in real-time to the engineer's data control center for centralized processing and analysis, ensuring the timeliness and completeness of the data and enabling engineers to promptly grasp the real-time status information of the arch dam.

[0085] In step S300: Data containing displacement response indicators, stress response indicators, and damage indicators are received from the multimodal data set control server. The data is normalized to map data with different physical dimensions to the same numerical range. Based on the structural characteristics of the concrete arch dam, the arch dam is divided into different nodes, and a node feature matrix is ​​constructed. The feature vector of each node contains the displacement, stress, and damage indicator information corresponding to that node. At the same time, an adjacency matrix is ​​constructed based on the geometric structure and physical connection relationship of the arch dam to represent the connection relationship between nodes.

[0086] Data normalization is a crucial step in data preprocessing. Because the collected displacement, stress, and damage data have different physical dimensions and numerical ranges—for example, displacement might be measured in millimeters and stress in megapascals—direct analysis may lead to some data features being overemphasized or underemphasized during model training or computation. Normalization, such as mapping all data to a range of 0 to 1 or -1 to 1, ensures that different types of data have equal weight and comparability in subsequent analysis algorithms, improving the accuracy and reliability of the analysis results.

[0087] Node partitioning based on the unique structural characteristics of concrete arch dams is a crucial step in constructing a graph neural network-based analysis model. Arch dams can be divided into different nodes according to their geometric partitions (such as different dam sections, different elevation areas, etc.) or according to the placement of sensors. Each node represents a local area of ​​the arch dam or a monitoring point and its surrounding area. This approach discretizes the complex overall structure of the arch dam, facilitating the use of the node and edge concepts of graph neural networks to describe its structural relationships and data feature propagation.

[0088] When constructing the node feature matrix, for each defined node, its corresponding displacement response index, stress response index, and damage index information are integrated into a single feature vector. For example, the feature vector of a node may contain data such as the horizontal displacement value, vertical displacement value, principal stress magnitude, shear stress magnitude, and crack width at that node. This data comprehensively describes the structural state of the node region.

[0089] The adjacency matrix is ​​constructed based on the geometric structure and physical connections of the arch dam. Geometrically, adjacent dam segments and upper / lower layers are physically connected and interact with each other, and these connections are represented by the elements in the adjacency matrix. If two nodes are adjacent or have a direct physical connection in the actual arch dam structure, their corresponding positions in the adjacency matrix are set to non-zero values ​​(e.g., 1); otherwise, they are set to 0. This constructed adjacency matrix accurately reflects the paths of information transmission and mutual influence within the arch dam structure, providing a basic framework for graph neural networks to simulate the mechanical transmission and state changes within the structure during analysis.

[0090] In step S400: Considering that a concrete arch dam is a complex large-scale structure, in order to better utilize graph neural networks for structural safety analysis, it is necessary to rationally divide the arch dam into nodes. Based on the structural characteristics of the arch dam, such as the division of dam sections, differences in elevation regions, and the distribution of key stress-bearing components, the arch dam is divided into multiple different nodes. Each node represents a local area of ​​the arch dam or a representative monitoring point and its surrounding area. When constructing the node feature matrix, for each node, its corresponding displacement response index, stress response index, and damage index information are integrated into a feature vector. For example, the feature vector of a certain node may contain data such as the horizontal displacement value, vertical displacement value, principal stress magnitude, shear stress magnitude, crack width, and material strength change rate at that node. These data comprehensively and accurately describe the structural state characteristics of the node area. Simultaneously, an adjacency matrix is ​​constructed based on the geometric structure of the arch dam (such as the connection relationship between adjacent dam sections and the correlation between different elevation regions) and physical connection relationships (such as the continuity of concrete pouring and the connection of reinforcing bars). In the adjacency matrix, if two nodes have a direct physical connection or mutual influence in the actual arch dam structure, the element at the corresponding position is set to a non-zero value (usually 1); otherwise, it is 0. The adjacency matrix constructed in this way can clearly reflect the paths of information transmission and interaction within the arch dam structure, providing an important structural foundation for graph neural networks to simulate the mechanical behavior and state changes of the structure during the analysis process.

[0091] In step S500: The engineer's data control center pre-sets a series of safety-limiting boundary conditions based on engineering experience, design specifications, and extensive experimental and simulation analyses. These conditions specify displacement response indicators (such as the maximum allowable displacement at the dam crest, deformation limits at specific parts of the dam body, etc.), stress response indicators (allowable stress range of concrete materials, upper stress limit in stress concentration areas, etc.), and damage indicators (critical values ​​for crack width and length, and the degree of material performance degradation considered dangerous, etc.).

[0092] Upon receiving various indicator data from the multimodal data monitoring platform, the engineer's data control center compares these data one by one with the corresponding safety boundary conditions. If all indicators are within the safety boundaries, it indicates that the arch dam is in a safe state under the current earthquake influence and can continue to operate normally and be continuously monitored. However, if any one or more displacement response and stress response indicators, or damage indicators exceed the preset safety boundary conditions, it means that the arch dam structure may have suffered some degree of damage or is in a dangerous state, requiring maintenance and repair.

[0093] At this point, the engineer's data control center automatically generates a maintenance and repair instruction for the concrete arch dam. This instruction contains detailed information about indicators exceeding safety boundaries, such as which indicators exceeded limits, the magnitude of the exceedances, and the corresponding location of the arch dam. Then, the instruction is forwarded to the concrete arch dam structural safety analysis model interface via the multimodal data control server. This interface is typically used by engineers and related technicians as an operating platform for in-depth analysis and the development of specific maintenance and repair plans. Based on the received instruction information, combined with a more detailed structural analysis model and data visualization tools, they can further investigate the problems of the arch dam and formulate a scientifically sound maintenance and repair plan to ensure the subsequent safe operation of the arch dam.

[0094] This invention also provides a system for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes. The system includes a control server for the concrete arch dam, multiple safety monitoring points for the concrete arch dam structure, a multimodal data control server, and a safety analysis model interface for the concrete arch dam structure. The control server for the concrete arch dam is equipped with an engineer data control center, and each of the multiple safety monitoring points for the concrete arch dam structure is equipped with a multimodal data monitoring and acquisition platform for the concrete arch dam affected by earthquakes.

[0095] The engineer's data control center is used to send structural dynamic response index analysis signals to the multimodal data monitoring and acquisition platform for the impact of earthquakes on concrete arch dams;

[0096] The earthquake-affected concrete arch dam multimodal data monitoring and acquisition platform is used to receive structural dynamic response index analysis signals, and then use multiple data acquisition sensors to collect various displacement response and stress response indices of the concrete arch dam per unit time, as well as damage indices of the concrete arch dam's working state per unit time. The platform also stores the collected data and sends it to the engineer's data control center.

[0097] The engineer data control center is also used to determine whether the various displacement response and stress response indicators and damage indicators are within the preset safety limit boundary conditions; if the various displacement response and stress response indicators and damage indicators are not within the preset safety limit boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server.

[0098] In one embodiment, the multimodal data set control server is used to feed back maintenance and repair instructions for the concrete arch dam to the concrete arch dam structural safety analysis model interface via tags.

[0099] In one embodiment, the engineer data control center is used to evaluate the received multiple displacement response and stress response indicators, damage indicators and structural safety early warning types in the structural safety early warning model analysis library; and based on the evaluation results, to send the corresponding concrete arch dam maintenance and repair instructions to the multimodal data control server.

[0100] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make various improvements and modifications to this invention without departing from its principles, and these improvements and modifications also fall within the protection limits of the claims of this invention.

Claims

1. A method for analyzing the dynamic response index of a concrete arch dam structure under earthquake influence, characterized in that, The method includes: Step S100: The engineer's data control center sends the structural dynamic response index analysis signal to the multimodal data monitoring and acquisition platform for the seismic impact of concrete arch dams; Step S200: After receiving the structural dynamic response index analysis signal, the multi-modal data monitoring and acquisition platform for the earthquake-affected concrete arch dam collects various displacement response and stress response indices of the concrete arch dam per unit time, as well as damage indices of the working state of the concrete arch dam per unit time, using multiple data acquisition sensors. The collected data is then stored and sent to the engineer's data control center. Step S300: Receive data containing displacement response index, stress response index and damage index from the multimodal data set control server, normalize the data, and map data with different physical dimensions to the same numerical range. Step S400: Based on the structural characteristics of the concrete arch dam, the arch dam is divided into different nodes, and a node feature matrix is ​​constructed. The feature vector of each node contains the displacement, stress and damage index information corresponding to that node. At the same time, an adjacency matrix is ​​constructed based on the geometric structure and physical connection relationship of the arch dam to represent the connection relationship between nodes. Step S500: The engineer data control center determines whether the various displacement response and stress response indicators and damage indicators are within the preset safety limit boundary conditions; if the various displacement response and stress response indicators and damage indicators are not within the preset safety limit boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server. The safety analysis model for the concrete arch dam structure analyzes information fed back from the multimodal data control server by combining graph neural network algorithms, including: Using a graph convolutional neural network as the basic model structure, the calculation formula for the graph convolutional neural network layer is as follows: ； in, A is the adjacency matrix. It is the identity matrix. yes The degree matrix, It is the first The node feature matrix of the layer, It is the first The trainable weight matrix of the layer, It is an activation function; A multi-layer graph convolutional neural network architecture is constructed, with 3 to 5 graph convolutional neural network layers, to extract high-order feature information from concrete arch dam structural data and learn the complex relationships between different nodes and the overall structural characteristics. In the last layer of the model, a fully connected layer is connected for classification tasks. If the safety status of the arch dam structure is to be determined, the number of output nodes of the fully connected layer is determined according to the number of safety status categories, and the softmax activation function is used to convert the output into the probability distribution of each category. Define the loss function, cross-tab loss function ,in It is the sample size. It is the number of categories. It is the first The true class label of each sample The model predicts the first The sample belongs to the first The probability of the category; Using labeled concrete arch dam structural data, including normal operation data and data under different degrees of damage or danger, a graph neural network model is trained. The model's weight parameters are adjusted through backpropagation algorithm to minimize the loss function, enabling the model to determine the safety status of the arch dam based on the input structural response index.

2. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 1, characterized in that, The various displacement and stress response indicators include: horizontal displacement, vertical displacement, dam surface deformation and principal stress, shear stress, and stress concentration areas.

3. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 1, characterized in that, The damage indicators include: the development of cracks in the concrete arch dam and the degradation of material properties.

4. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 1, characterized in that, Also includes: A structural safety early warning model analysis library is pre-set in the engineer's data control center, and information on the variation range of various displacement response and stress response indicators, damage indicators, and structural safety early warning types is stored in the structural safety early warning model analysis library.

5. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 4, characterized in that, If the various displacement response and stress response indices and damage indices are not within the preset safety boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data set control server, including: The engineer data control center will evaluate the various displacement response and stress response indicators and damage indicators received against the structural safety early warning types in the structural safety early warning model analysis library. Based on the evaluation results, the engineer's data control center sends the corresponding maintenance and repair instructions for the concrete arch dam to the multimodal data control server.

6. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 5, characterized in that, If the various displacement response and stress response indices and damage indices are not within the preset safety boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data set control server. This also includes: Indicator monitoring and judgment: Sensors installed at key parts of the concrete arch dam are used to collect displacement response data and stress response data in real time, as well as damage index data through periodic inspections or non-destructive testing techniques. Pre-set safety limit boundary conditions are set in the data acquisition system. These conditions are determined based on arch dam design specifications, past experience, and numerical simulation analysis results. When the collected data indicates that the displacement response index, stress response index, and damage index exceed the corresponding safety limit boundary conditions, the maintenance and repair instruction generation mechanism is triggered.

7. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 6, characterized in that, The data is fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server. It also includes the generation and transmission of maintenance and repair instructions: the signal processing unit in the monitoring system generates maintenance and repair instructions for the concrete arch dam based on the exceedance of indicators. The signals contain information on the type, location, and degree of exceedance of the indicators. The maintenance and repair instructions are transmitted to the multimodal data control server through network communication.

8. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 7, characterized in that, The feedback from the multimodal data set control server to the concrete arch dam structural safety analysis model interface also includes multimodal data set control server processing and feedback: after receiving the prompt signal, the multimodal data set control server parses and organizes the signal, extracts relevant detailed data information, and packages and transmits the over-limit information and related data to the concrete arch dam structural safety analysis model interface according to the preset communication protocol and interface.

9. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 8, characterized in that, The data is fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server. The interface presentation and step generation of the structural safety analysis model are also included: After receiving the data from the multimodal data control server, the concrete arch dam structural safety analysis model interface intuitively displays the details of the specific indicators exceeding the limits and the specific parts of the arch dam that exceed the limits, presented in the form of charts and text warnings.

10. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 1, characterized in that, The process of feeding back data from the multimodal data control server to the concrete arch dam structural safety analysis model interface includes: The multimodal data control server feeds back the maintenance and repair instructions for the concrete arch dam to the interface of the concrete arch dam structural safety analysis model through tags.

11. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 10, characterized in that, The interface of the concrete arch dam structural safety analysis model is a safety analysis model interface for maintenance personnel or managers. Maintenance personnel can receive structural safety warnings for the concrete arch dam that are occurring or about to occur within a unit of time, while managers can assign personnel to handle the situation based on the area to which the concrete arch dam belongs within a unit of time.

12. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 1, characterized in that, Step S500 further includes: The real-time collected and preprocessed concrete arch dam structural data is input into the trained graph neural network model.

13. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 12, characterized in that, The graph neural network model outputs the probability distribution of the safety status of each node and the comprehensive safety status assessment result of the entire arch dam structure. If the area corresponding to a certain node is judged to be in a dangerous state with a high probability, the structural condition of that area will be the focus of attention. If the probability of the overall arch dam structure being in a dangerous state exceeds a preset threshold, a comprehensive safety warning and corresponding countermeasures will be triggered.

14. The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes according to claim 13, characterized in that, Based on the output of the graph neural network model, the distribution of safety status is displayed in a visual manner on the interface of the concrete arch dam structure safety analysis algorithm.

15. A system for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes, characterized in that, The method for analyzing the dynamic response index of a concrete arch dam structure affected by earthquakes, as described in any one of claims 1-14, includes a control server for the concrete arch dam, multiple safety monitoring points for the concrete arch dam structure, a multimodal data control server, and a safety analysis model interface for the concrete arch dam structure. The control server for the concrete arch dam is equipped with an engineer data control center, and each of the multiple safety monitoring points for the concrete arch dam structure is equipped with a multimodal data monitoring and acquisition platform for the concrete arch dam affected by earthquakes. The engineer's data control center is used to send structural dynamic response index analysis signals to the multimodal data monitoring and acquisition platform for the impact of earthquakes on concrete arch dams; The earthquake-affected concrete arch dam multimodal data monitoring and acquisition platform is used to receive structural dynamic response index analysis signals, and then use multiple data acquisition sensors to collect various displacement response and stress response indices of the concrete arch dam per unit time, as well as damage indices of the concrete arch dam's working state per unit time. The platform also stores the collected data and sends it to the engineer's data control center. The engineer data control center is also used to determine whether the various displacement response and stress response indicators and damage indicators are within the preset safety limit boundary conditions; if the various displacement response and stress response indicators and damage indicators are not within the preset safety limit boundary conditions, a maintenance and repair instruction for the concrete arch dam is generated and fed back to the concrete arch dam structural safety analysis model interface through the multimodal data control server.

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