Anti-seismic analysis method and device, storage medium and electronic equipment
By constructing and modifying the collision model and accurately calculating the stiffness and damping parameters of the bulk structure, the problem of accuracy in evaluating the seismic performance of micro nuclear reactors under earthquakes was solved, the analysis efficiency and safety were improved, and the risk of nuclear leakage accidents was reduced.
Patent Information
- Application Number
- CN202510906531.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-01
- Publication Date
- 2025-10-17
AI Technical Summary
Existing technologies make it difficult to accurately evaluate the complex dynamic responses of the bulk structure of a miniature nuclear reactor caused by a large number of collisions under earthquake action, resulting in inaccurate seismic performance assessment and inability to provide a reliable basis for safety assessment.
By collecting collision information from multiple scaled models, constructing a collision model and calculating the equivalent stiffness and damping, the simulated collision parameters are iteratively corrected and combined with actual data verification to accurately calculate the stiffness and damping parameters of the discrete structure.
It improves the accuracy and efficiency of seismic analysis of bulk structures, enhances the safety assessment of key facilities, reduces the risk of nuclear leakage accidents caused by earthquakes, and provides safety protection for key facilities.
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Figure CN120805441A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of nuclear power engineering, and in particular to an anti-seismic analysis method and device, a storage medium and an electronic device. BACKGROUND
[0002] At present, the third and fourth generation nuclear power plants are developing rapidly, among which the micro nuclear reactor has broad application prospects and other energy irreplaceable advantages, and various countries and relevant research institutions have carried out extensive research. The micro nuclear reactors currently disclosed at home and abroad include high-temperature gas-cooled reactors, heat pipe reactors, sodium-cooled fast reactors, lead-cooled fast reactors, molten salt reactors and light water reactors, etc.
[0003] The structural safety of the nuclear reactor is the most basic requirement, and the insufficient anti-seismic performance of the reactor core structure may cause structural damage, and further cause nuclear leakage accidents, causing serious damage to the environment and human health. Therefore, the anti-seismic performance of the reactor core structure is crucial to ensure the safe operation of the nuclear reactor.
[0004] The core of the micro high-temperature gas-cooled reactor adopts a granular structure made of prismatic graphite blocks, which is usually composed of multiple graphite blocks arranged in a certain pattern. There is a small gap between each block, and the overall structure is realized by pin key connection to realize coordinated movement and force transmission, and the whole is realized by binding belt to realize constraint and damping dissipation. Under the action of earthquake, the granular structure will have a large number of contact and collision with vibration, which may cause cracks in the graphite assembly and lose the supporting function, and cause large deformation to affect the insertion of the control rod, so it is necessary to use a strict anti-seismic analysis method to evaluate the safety of the structure.
[0005] In the patent document CN116822277B, a nuclear power plant reactor fuel assembly anti-seismic analysis method, system, terminal and medium are disclosed, which comprises: inputting the design acceleration response spectrum into a conversion program to generate a corresponding time history, and adjusting the response spectrum in real time during the intermediate process to obtain the seismic acceleration time history; inputting the seismic acceleration time history into the reactor structure system model for calculation to obtain the seismic time history of the basket apron and the upper and lower core; inputting the seismic time history of the basket apron and the upper and lower core into the anti-seismic load distribution model for calculation to obtain the seismic load of each part of the fuel assembly; inputting the seismic load of the fuel assembly and other non-seismic loads into a stress analysis program to obtain the fuel assembly reference accident analysis result. The problem of not solving the complex dynamic response caused by a large number of collisions under the action of earthquake, the anti-seismic performance evaluation of the existing micro nuclear reactor granular structure cannot accurately predict the damage and deformation of the structure, and cannot provide reliable evaluation basis for the safety of the reactor.
[0006] In patent document CN109783764B, a nuclear power plant equipment seismic performance evaluation method based on floor response spectrum is disclosed, which comprises the following steps: first, the nuclear power equipment is simplified as a single degree of freedom damping system, the motion equation is established, and the damping ratio and circular frequency are selected; secondly, the analysis step is selected; thirdly, the calculation is carried out step by step, for the i-th time step, the displacement and velocity at ti-1 moment are known, the displacement, velocity at ti moment of the i-th time step are calculated by the recursive formula listed in the application; fourthly, the acceleration at ti moment of the i-th time step is calculated by the motion equation, and finally the peak value of the acceleration response curve is calculated as the floor spectrum value of the given frequency and damping ratio, which is used to draw the floor response spectrum. According to the floor response spectrum, the seismic performance of the nuclear power plant equipment is evaluated first, and the problem that the existing micro nuclear reactor's granular structure seismic performance evaluation cannot accurately predict the damage and deformation of the structure when a large number of collisions cause complex dynamic response under the action of earthquake is not solved, and the reliable evaluation basis for the safety of the reactor cannot be provided.
[0007] In summary, the above two existing patents do not solve the problem that the existing micro nuclear reactor's granular structure seismic performance evaluation cannot accurately predict the damage and deformation of the structure when a large number of collisions cause complex dynamic response under the action of earthquake, and the reliable evaluation basis for the safety of the reactor cannot be provided. SUMMARY
[0008] Based on the above technical problems, the present application provides an anti-seismic analysis method, device, storage medium and electronic equipment, which solves the problem that the existing micro nuclear reactor's granular structure seismic performance evaluation cannot accurately predict the damage and deformation of the structure when a large number of collisions cause complex dynamic response under the action of earthquake, and the reliable evaluation basis for the safety of the reactor cannot be provided.
[0009] To achieve the above object, the present application provides an anti-seismic analysis method.
[0010] An anti-seismic analysis method comprises:
[0011] Collecting collision information of a plurality of scaled models at different collision angles;
[0012] Obtaining simulation collision parameters according to the collision information, constructing a collision model according to the simulation collision parameters, and calculating equivalent stiffness and equivalent damping according to the collision model, wherein the simulation collision parameters include an acceleration curve and a recovery coefficient;
[0013] Constructing a mass matrix, a stiffness matrix and a damping matrix according to the collision information, and correcting the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix and the collision information;
[0014] Verifying the collision model according to the collision information.
[0015] Further, the collision information comprises:
[0016] The collision angle, the collision time, the acceleration, the collision velocity and the mass.
[0017] Further, obtaining simulation collision parameters according to the collision information comprises:
[0018] Obtaining the acceleration curve according to the acceleration, and integrating the acceleration curve to obtain the relative displacement and the relative velocity.
[0019] Further, obtaining simulation collision parameters according to the collision information comprises:
[0020] Obtaining the restitution coefficient according to the collision velocity.
[0021] Further, the collision model comprises:
[0022] The collision force model and the damping coefficient model.
[0023] Further, constructing a collision model according to the simulation collision parameters comprises:
[0024] Constructing the collision force model according to the relative velocity, the relative displacement, the mass and the acceleration, and the expression is as follows:
[0025]
[0026] Where F p (i) is a collision force curve obtained according to the mass and the acceleration, U(i) is the relative displacement, is the relative velocity, k(i) is the equivalent stiffness, i is the index of the i-th scaling model, and m, n are model parameters.
[0027] Further, constructing a collision model according to the simulation collision parameters comprises:
[0028] Constructing the damping coefficient model according to the equivalent stiffness, the restitution coefficient and the relative velocity, and the expression is as follows:
[0029]
[0030] Where c(i) is the equivalent damping, e is the restitution coefficient, is the relative velocity, and i is the index of the i-th scaling model.
[0031] Further, correcting the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix and the collision information comprises:
[0032] construct a structure mechanics verification model according to the mass matrix, the stiffness matrix, the damping matrix, the acceleration, the relative displacement and the relative velocity, obtain an external force according to the mechanics verification model, and bring the external force into the impact model to iteratively calculate the equivalent stiffness and the equivalent damping.
[0033] Further, the mass matrix, the stiffness matrix and the damping matrix are constructed according to the impact information, including:
[0034] the mass matrix is constructed according to the number of the scaling models and the mass;
[0035] the stiffness matrix is constructed according to the number of the scaling models and the equivalent stiffness;
[0036] the damping matrix is constructed according to the number of the scaling models and the equivalent damping.
[0037] Further, the impact model is verified according to the impact information, including:
[0038] actual acceleration and actual impact time are collected in actual impact, an actual seismic wave curve is constructed, a simulated seismic wave curve is generated according to the impact model, error comparison is performed between the actual seismic wave curve and the simulated seismic wave curve to obtain an error value, if the error value is higher than an error threshold value, the impact model is re-constructed, and if the error value is lower than the error threshold value, the verification is passed.
[0039] To achieve the above object, the application further provides an anti-seismic analysis device.
[0040] An anti-seismic analysis device, characterized in that it comprises:
[0041] a collection module, configured to collect impact information of a plurality of scaling models at different impact angles;
[0042] a modeling module, configured to obtain simulated impact parameters according to the impact information, construct an impact model according to the simulated impact parameters, calculate equivalent stiffness and equivalent damping according to the impact model, and the simulated impact parameters include an acceleration curve and a recovery coefficient;
[0043] a correction module, configured to construct a mass matrix, a stiffness matrix and a damping matrix according to the impact information, and correct the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix and the impact information;
[0044] a verification module, configured to verify the impact model according to the impact information.
[0045] Based on the above technical scheme, the present application has at least the following beneficial effects:
[0046] 1. The present application proposes an anti-seismic analysis method, device, storage medium and electronic equipment, which uses small-size and low-number scaled models for collision experiments and simulations, constructs a collision model to obtain more accurate equivalent stiffness and damping parameters, thereby improving the accuracy of the analysis results, and further modifies the constructed collision model according to the actually collected collision information, further fitting the actual collision during an earthquake, significantly improving the efficiency of the anti-seismic analysis of the granular structure; in addition, the model is verified against actual data to further ensure the safety and robustness of the model; the present application reduces the consumption of computing resources by simplifying the model, so that more extensive anti-seismic performance evaluation can be performed under limited computing resources; the present application is not only suitable for a specific type of granular structure, but also has the potential to be applied to other materials and structures, and the application range of the model is large, which has high practicability.
[0047] 2. The present application proposes an anti-seismic analysis method, device, storage medium and electronic equipment, which realizes accurate calculation of the equivalent stiffness and equivalent damping of the granular structure by constructing an accurate collision model and a damping coefficient model, uses simulated collision parameters to iteratively correct the equivalent stiffness and damping, so that the model parameters can be more close to the mechanical response in the actual collision process, thereby improving the prediction accuracy and reliability of the model, not only improving the accuracy and efficiency of the anti-seismic analysis of the granular structure, but also providing an effective tool for safety evaluation of critical facilities, reducing the risk and enhancing the safety of the structure.
[0048] 3. The present application proposes an anti-seismic analysis method, device, storage medium and electronic equipment, which combines numerical simulation and experimental verification to enhance the safety and reliability of the granular structure in earthquake response evaluation, focuses on extracting key interaction forces from graphite contact, and performs detailed mechanical analysis on key materials such as graphite components to ensure the structural integrity meets safety specifications; through this process, the present application can accurately identify and correct the system stiffness and damping parameters, making them more close to the actual physical behavior, thereby significantly improving the accuracy of structure safety evaluation; in addition, the present application shows significant social and environmental value in the application of critical facilities such as nuclear power plants, by improving the structural safety of these facilities, effectively reducing the risk of nuclear leakage accidents caused by earthquakes, and thereby protecting the environment and human health; the present application provides important technical support and protection for the anti-seismic design and safety evaluation of critical infrastructure such as nuclear power plants in earthquake-prone areas. BRIEF DESCRIPTION OF DRAWINGS
[0049] The drawings constituting a part of the present application are used to provide further understanding of the present application, the illustrative embodiments of the present application and the description thereof serve to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:
[0050] Figure 1 A flow chart of a seismic analysis method of one embodiment is shown;
[0051] Figure 2 A schematic diagram of a graphite block collision mode of one embodiment is shown;
[0052] Figure 3 A schematic diagram of an acceleration curve of one embodiment is shown;
[0053] Figure 4 A schematic diagram of a seismic wave curve of a graphite block at measuring point E of one embodiment is shown;
[0054] Figure 5 A schematic diagram of a seismic wave curve of a graphite block at measuring point D of one embodiment is shown;
[0055] Figure 6 A collision point schematic diagram of one embodiment is shown;
[0056] Figure 7 A structural schematic diagram of a seismic analysis device of one embodiment is shown;
[0057] Figure 8 A structural schematic diagram of a seismic analysis product of one embodiment is shown;
[0058] Figure 9 A structural schematic diagram of an electronic device of one embodiment is shown. DETAILED DESCRIPTION
[0059] It should be noted that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict. The present application will be described in detail below with reference to the drawings and in combination with the embodiments.
[0060] The present application will be further described in detail below in combination with specific embodiments, and these embodiments cannot be understood as limiting the scope of the present application.
[0061] EMBODIMENT
[0062] To solve the problem that the unit power loss cost in actual operation process, the operation cost and depreciation cost in the cleaning system operation process are not comprehensively considered in the current method, the present application provides a seismic analysis method, device, storage medium and electronic device.
[0063] To achieve the above purpose, the present application further provides a seismic analysis method.
[0064] As Figure 1 A seismic analysis method of one embodiment of the present application is shown in the flow chart, which mainly includes the following steps:
[0065] S101: Collecting collision information of a plurality of scaled models at different collision angles.
[0066] Specifically, in this embodiment, two hexagonal graphite blocks are used as scaled models for collision test, as shown in Figure 2 The two graphite blocks are tested in three collision modes, i.e. head-on collision, small-angle oblique collision and 45° oblique collision, wherein the angle range of small-angle oblique collision is 0.01°-0.1°; the collected collision information obtained by collision test of the two graphite blocks at different angles is shown in Table 1 below, which includes collision angle, collision time, acceleration, collision speed and mass, and only the maximum acceleration and maximum collision speed are shown in the table; the collision modes are divided by the first column of collision angles, wherein the collision mode is head-on collision when the collision angle is 0.00°, the collision mode is small-angle oblique collision when the collision angles are 0.01°, 0.02°, 0.03°, 0.04°, 0.05°, 0.06°, 0.07°, 0.08°, 0.09° and 0.10°, and the collision mode is 45° oblique collision when the collision angle is 45°.
[0067] Table 1 Collision information of graphite blocks
[0068]
[0069] S102: Obtaining simulation collision parameters according to the collision information, constructing a collision model according to the simulation collision parameters, calculating equivalent stiffness and equivalent damping according to the collision model, and the simulation collision parameters include acceleration curve and recovery coefficient.
[0070] Further, the acceleration curve and the recovery coefficient are obtained according to the above-mentioned collision information, wherein the acceleration curve is constructed as shown in Figure 3 According to the collision information table, collision time and acceleration obtained above, the acceleration curve is constructed, the acceleration curve is integrated according to different collision angles, the relative displacement and the relative velocity are obtained, the relative velocity is obtained by integrating the acceleration curve once, and the expression is as follows:
[0071] U(i) = ∫a(t) dt,
[0072] Further, wherein U(i) is the relative velocity, a(t) is the acceleration at time t, and i is the index of the i-th scaled model, the relative displacement is further obtained by integrating the relative velocity, and the expression is as follows:
[0073]
[0074] wherein is the relative displacement, U(i) is the relative velocity, and further integration can be expressed as:
[0075]
[0076] wherein U(i) is the relative velocity, a(t) is the acceleration at time t, and i is the index of the i-th scaling model.
[0077] Further, a restitution coefficient is obtained from the collected impact information, which is expressed as:
[0078]
[0079] wherein e is the restitution coefficient, v1 and v2 are the velocities of the two graphite blocks before impact, and v'2 and v'1 are the velocities of the two graphite blocks after impact.
[0080] Further, a collision force model is constructed from the above-obtained relative velocity, relative displacement, mass, and acceleration, which is expressed as:
[0081]
[0082] wherein F p (i) is the collision force curve obtained from the mass and the acceleration, U(i) is the relative displacement, is the relative velocity, k(i) is the equivalent stiffness, i is the index of the i-th scaling model, and m, n are model parameters, preferably m is 1 and n is 1 or 1.5.
[0083] A damping coefficient model is constructed from the above-obtained equivalent stiffness, restitution coefficient, and relative velocity, which is expressed as:
[0084]
[0085] wherein c(i) is the equivalent damping, e is the restitution coefficient, is the relative velocity, and i is the index of the i-th scaling model.
[0086] Further, according to the above models, the collected impact information is brought into the calculation of the equivalent stiffness and the equivalent damping.
[0087] S103: A mass matrix, a stiffness matrix, and a damping matrix are constructed from the impact information, and the equivalent stiffness and the equivalent damping are corrected according to the mass matrix, the stiffness matrix, the damping matrix, and the impact information.
[0088] Specifically, the mass matrix is constructed according to the number of the scaling models and the mass, and the collision information of 2 graphite blocks, each with a mass of 10 kg, is used to construct the mass matrix, and the expression of the mass matrix is as follows:
[0089]
[0090] where M is the mass matrix, the stiffness matrix and the damping matrix are constructed according to the equivalent damping and the equivalent stiffness obtained above, and the expressions are as follows:
[0091]
[0092] where K is the stiffness matrix, k is the equivalent stiffness, C is the damping matrix, and c is the equivalent damping. In this embodiment, the test is performed on 2 graphite blocks, and the matrix size is 2*2. In other embodiments, the matrix size is changed to n*n following the number of test graphite blocks, and n ranges from 10 to 20.
[0093] Further, the structural mechanics verification model is constructed according to the mass matrix, the stiffness matrix, the damping matrix, the acceleration, the relative displacement, and the relative velocity obtained above, and the expression is as follows:
[0094]
[0095] where F(t) is the external force, M is the mass matrix, a(t) is the acceleration, K is the stiffness matrix, U(i) is the relative displacement, C is the damping matrix, is the relative velocity, the external force is brought into the collision model, and the equivalent stiffness and the equivalent damping are iteratively corrected.
[0096] S104: The collision model is verified according to the collision information.
[0097] Further, the actual acceleration and the actual collision time are collected in actual collision, the actual seismic wave curve is constructed, the simulated seismic wave curve is generated according to the collision model, the error value is obtained by comparing the actual seismic wave curve with the simulated seismic wave curve, if the error value is higher than the error threshold, the collision model is re-constructed, and if the error value is lower than the error threshold, the verification is passed.
[0098] Specifically, 2 graphite blocks are selected for collision test, and a sinusoidal wave with a maximum amplitude of 2 m / s 2 acceleration is applied to the 2 graphite blocks, and a dynamic load is simulated, such as Figure 6E point and D point of the graphite block are selected as the collision points, actual accelerations in the X-axis direction are measured, and actual seismic wave curves of the E point and the D point are respectively constructed according to actual collision times; simulated accelerations are obtained through the collision model constructed above, and simulated seismic wave curves of the E point and the D point are respectively constructed according to time; the actual seismic wave curves and the simulated seismic wave curves are as shown in Figure 4 and Figure 5 error values of the actual seismic wave curves and the simulated seismic wave curves of the E point and the D point are respectively calculated according to time, and the error values are calculated in the following manner:
[0099]
[0100] wherein, E is the error value, a 模拟 is the simulated acceleration, a 实际 is the actual acceleration, and the error values are as shown in Table 2:
[0101] Table 2 Error value table
[0102]
[0103] In the embodiment, the error threshold is set to 200%, in the test working condition of the sine wave state of 15HZ, the error value of the measuring point D is 33% and 130% at the maximum acceleration and the minimum acceleration, respectively, and the error value of the measuring point E is 75% and 243% at the maximum acceleration and the minimum acceleration, respectively, which exceeds the error threshold 200%, and therefore fails to pass the safety verification, and the model parameters need to be fully distributed. In other embodiments, if the error values of all measuring points at the maximum acceleration and the minimum acceleration are less than 200%, the test is passed.
[0104] It should be noted that, for the foregoing method embodiments, in order to simply describe, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited to the action sequence described, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should know that the embodiments described in the specification all belong to preferred embodiments, and the actions and modules involved are not necessarily necessary for the present application.
[0105] Based on another aspect of the embodiments of the present application, the present application further provides an anti-seismic analysis device. As shown in Figure 7 the device comprises:
[0106] The acquisition module 701 is configured to acquire collision information of a plurality of scaled models at different collision angles.
[0107] The modeling module 702 is configured to obtain simulation collision parameters according to the collision information, construct a collision model according to the simulation collision parameters, and calculate equivalent stiffness and equivalent damping according to the collision model, wherein the simulation collision parameters include an acceleration curve and a restitution coefficient;
[0108] The correction module 703 is configured to construct a mass matrix, a stiffness matrix and a damping matrix according to the collision information, and correct the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix and the collision information.
[0109] The verification module 704 is configured to verify the collision model according to the collision information.
[0110] As an optional solution, the device is further configured to: the collision information includes a collision angle, a collision time, an acceleration, a collision speed and a mass.
[0111] As an optional solution, the device is further configured to: obtaining the simulation collision parameters according to the collision information includes: obtaining the acceleration curve according to the acceleration, and obtaining a relative displacement and a relative speed by integrating the acceleration curve.
[0112] As an optional solution, the device is further configured to: obtaining the simulation collision parameters according to the collision information includes: obtaining the restitution coefficient according to the collision speed.
[0113] As an optional solution, the device is further configured to: the collision model includes a collision force model and a damping coefficient model.
[0114] As an optional solution, the device is further configured to: constructing the collision model according to the simulation collision parameters includes: constructing the collision force model according to the relative speed, the relative displacement, the mass and the acceleration, and the expression is as follows:
[0115]
[0116] wherein F p (i) is a collision force curve obtained according to the mass and the acceleration, U(i) is the relative displacement, is the relative speed, k(i) is the equivalent stiffness, i is an index of the i th scaling model, and m and n are model parameters.
[0117] As an optional solution, the device is further configured to: constructing the collision model according to the simulation collision parameters includes: constructing the damping coefficient model according to the equivalent stiffness, the restitution coefficient and the relative speed, and the expression is as follows:
[0118]
[0119] wherein c(i) is the equivalent damping, e is the restitution coefficient, is the relative velocity, i is an index of the i-th scaled model.
[0120] As an optional solution, the apparatus is further configured to correct the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix and the collision information, including: constructing a mechanical verification model according to the mass matrix, the stiffness matrix, the damping matrix, the acceleration, the relative displacement and the relative velocity, obtaining an external force according to the mechanical verification model, and bringing the external force into the collision model to iteratively correct the equivalent stiffness and the equivalent damping.
[0121] As an optional solution, the apparatus is further configured to construct a mass matrix, a stiffness matrix and a damping matrix according to the collision information, including: constructing the mass matrix according to the number of the scaled models and the mass; constructing the stiffness matrix according to the number of the scaled models and the equivalent stiffness; and constructing the damping matrix according to the number of the scaled models and the equivalent damping.
[0122] As an optional solution, the apparatus is further configured to verify the collision model according to the collision information, including: collecting an actual acceleration and an actual collision time in an actual collision, constructing an actual seismic wave curve, generating a simulated seismic wave curve according to the collision model, comparing the actual seismic wave curve with the simulated seismic wave curve to obtain an error value, if the error value is higher than an error threshold, re-constructing the collision model, and if the error value is lower than the error threshold, passing the verification.
[0123] In the embodiments of the present application, the term "module" or "unit" refers to a computer program or a part of a computer program with a predetermined function, and works together with other related parts to achieve a predetermined target, and can be implemented entirely or partially by using software, hardware (such as a processing circuit or a memory) or a combination thereof. Similarly, one processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be a part of an overall module or unit that includes the functions of the module or unit.
[0124] As to the apparatus in the above embodiments, the specific manners in which various modules perform operations have been described in detail in the embodiments of the method, and will not be described in detail here.
[0125] According to an aspect of the present application, there is provided a computer program product comprising a computer program.
[0126] The above-mentioned serial numbers of the embodiments of the present application are only for description, and do not represent the advantages and disadvantages of the embodiments.
[0127] Figure 8 A computer system structure block diagram of an electronic device for implementing the embodiments of the present application is schematically shown.
[0128] It should be noted that, Figure 8 The computer system 800 of the electronic device shown is only an example, and should not bring any limitation to the functions and use range of the embodiments of the present application.
[0129] As Figure 8 shown, the computer system 800 includes a central processing unit 801 (CPU), which can perform various appropriate actions and processes according to programs stored in a read-only memory 802 (ROM) or loaded from a storage portion 808 into a random access memory 803 (RAM). Various programs and data required for system operation are also stored in the random access memory 803. The central processing unit 801, the read-only memory 802, and the random access memory 803 are connected to each other through a bus 804. An input / output interface 805 (I / O interface) is also connected to the bus 804.
[0130] The following components are connected to the input / output interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output portion 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), and the like, and a speaker, and the like; a storage portion 808 including a hard disk, and the like; and a communication portion 809 including a network interface card such as a local area network card, a modem, and the like. The communication portion 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the input / output interface 805 as necessary. A removable recording medium 813 such as a magnetic disk, an optical disc, a magneto-optical disc, a semiconductor memory, and the like is attached to the drive 810 as necessary, so that a computer program read out therefrom is installed in the storage portion 808 as necessary.
[0131] In particular, according to the embodiments of the present application, the processes described in each of the method flowcharts can be implemented as a computer software program. For example, the embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program code for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network through the communication section 809, and / or installed from the detachable medium 83. When the computer program is executed by the central processing unit 801, various functions defined in the system of the present application are performed.
[0132] In such embodiments, the computer program can be downloaded and installed from a network through the communication section 809, and / or installed from the detachable medium 83. When the computer program is executed by the central processing unit 801, various functions provided by the embodiments of the present application are performed.
[0133] According to yet another aspect of the embodiments of the present application, an electronic device for an anti-seismic analysis method is also provided. The embodiments are described below with the electronic device as an example of a terminal device. As shown in Figure 9 the electronic device includes a memory 902 and a processor 904, the memory 902 storing a computer program, and the processor 904 being configured to execute the steps in any of the method embodiments described above through the computer program.
[0134] Optionally, in the embodiments, the electronic device described above can be located in at least one of the network devices in a computer network.
[0135] Optionally, in the embodiments, the processor described above can be configured to execute the methods in the embodiments of the present application through the computer program.
[0136] Optionally, those skilled in the art can understand that the structure shown in Figure 9 is only schematic, Figure 9 and does not limit the structure of the electronic device described above. For example, the electronic device can also include more or fewer components (such as network interfaces, etc.) than those shown in Figure 9 , or have a different configuration from Figure 9 .
[0137] The memory 902 can be used to store software programs and modules, such as program instructions / modules corresponding to the anti-seismic analysis method and device in the embodiments of the present application. The processor 904 executes various functions and data processing by running the software programs and modules stored in the memory 902, that is, implements the anti-seismic analysis method described above. The memory 902 can include a high-speed random access memory, and can further include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some examples, the memory 902 can further include a memory remotely arranged with respect to the processor 904, which can be connected to the terminal through a network. Examples of the network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof. Specifically, the memory 902 can be used to store, but is not limited to, collected operation data or cleaning data information. As an example, as shown in Figure 9 The memory 902 can include, but is not limited to, the collection module 701, the modeling module 702, the correction module 703, and the verification module 704 in the anti-seismic analysis device described above. In addition, other module units in the device can also be included, but are not limited to, which will not be described in detail in this example.
[0138] Optionally, the transmission device 906 is used to receive or send data via a network. Specific examples of the network can include wired networks and wireless networks. In an example, the transmission device 906 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices and routers through a network cable to communicate with the Internet or a local area network. In an example, the transmission device 906 is a radio frequency (Radio Frequency, RF) module, which is used to communicate with the Internet in a wireless manner.
[0139] In addition, the electronic device further includes a display 908 for displaying the operation data or cleaning data, and a connection bus 910 for connecting various module components in the electronic device.
[0140] In other embodiments, the terminal device or the server can be a node in a distributed system, and the distributed system can be a blockchain system formed by the nodes communicating through a network. The nodes can form a peer-to-peer network, and any computing device, such as a server, a terminal, or an electronic device, can become a node in the blockchain system by joining the peer-to-peer network.
[0141] According to an aspect of the present application, a computer readable storage medium is provided, and a processor of an electronic device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions to enable the electronic device to perform the anti-seismic analysis method provided in any of the various optional implementation manners of the anti-seismic analysis aspect.
[0142] Optionally, in the embodiment, the computer readable storage medium can be configured to store the computer instructions for executing the method in the embodiments of the present application.
[0143] Optionally, in the embodiment, a person skilled in the art can understand that all or part of the steps in the various methods of the above-described embodiments can be completed by programs instructing the hardware of the terminal device, and the programs can be stored in a computer readable storage medium, and the storage medium can include a flash disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.
[0144] The serial numbers of the embodiments of the present application are only for description, and do not represent the advantages or disadvantages of the embodiments.
[0145] The integrated units in the above-described embodiments can be stored in the computer readable storage medium if they are realized in the form of software function units and sold or used as independent products. Based on such understanding, the technical solutions of the present application or the whole or part of the technical solutions that essentially contribute to the prior art can be embodied in the form of a software product, and the computer software product is stored in a storage medium, and includes a plurality of instructions for enabling one or more electronic devices to execute all or part of the steps of the methods described in the embodiments of the present application.
[0146] In the above-described embodiments of the present application, the description of each embodiment has its own focus, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.
[0147] In the several embodiments provided by the present application, it should be understood that the disclosed application programs can be implemented in other ways. Of course, the above-described device embodiments are only schematic. For example, the division of units is only a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between units can be indirect couplings or communication connections through some interfaces, units or modules, and can be electrical or other forms.
[0148] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Part or all of the units can be selected to achieve the purpose of the embodiment of the present application according to actual needs.
[0149] In addition, the functional units in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.
[0150] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.
[0151] In summary, from the above description, the above embodiments of the present application achieve the following technical effects:
[0152] 1. The present application proposes an anti-seismic analysis method, device, storage medium and electronic equipment, which uses a small-size low-number scaled model to perform collision experiments and simulation, constructs a collision model to obtain more accurate equivalent stiffness and damping parameters, thereby improving the accuracy of the analysis results, and further modifies the constructed collision model according to the actually collected collision information, further fits the actual collision during an earthquake, and significantly improves the efficiency of the anti-seismic analysis of the granular structure; in addition, the model is verified against actual data to further ensure the safety and robustness of the model; the present application reduces the consumption of computing resources by simplifying the model, so that more extensive anti-seismic performance evaluation can be performed under limited computing resources; the present application is not only suitable for a specific type of granular structure, but also has the potential to be applied to other materials and structures, and the application range of the model is large, and the present application has high practicability.
[0153] 2. The present application proposes an anti-seismic analysis method, device, storage medium and electronic equipment, which realizes accurate calculation of the equivalent stiffness and equivalent damping of the granular structure by constructing an accurate collision model and a damping coefficient model, uses simulated collision parameters to iteratively correct the equivalent stiffness and damping, so that the model parameters can be more close to the mechanical response in the actual collision process, thereby improving the prediction accuracy and reliability of the model, not only improving the accuracy and efficiency of the anti-seismic analysis of the granular structure, but also providing an effective tool for safety evaluation of critical facilities, reducing risks and enhancing the safety of the structure.
[0154] 3.The application provides an anti-seismic analysis method, device, storage medium and electronic equipment, which combines numerical simulation and experimental verification to enhance the safety and reliability of the granular structure in earthquake response evaluation, focuses on extracting key interaction forces from graphite contact, performs detailed mechanical analysis on key materials such as graphite components, and ensures that the structural integrity meets safety specifications; through this process, the application can accurately identify and correct system stiffness and damping parameters, making them more closely resemble actual physical behavior, thereby significantly improving the accuracy of structural safety evaluation; in addition, the application exhibits significant social and environmental value in the application of key facilities such as nuclear power plants, effectively reducing the risk of nuclear leakage accidents caused by earthquakes by improving the structural safety of these facilities, thereby protecting the environment and human health; the application provides important technical support and protection for the anti-seismic design and safety evaluation of key infrastructure such as nuclear power plants in earthquake-prone areas.
[0155] The above only describes the preferred embodiments of the application and is not intended to limit the application. Those skilled in the art can make various modifications and changes to the application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the application shall be included in the protection scope of the application.
[0156] It should be noted that, in this document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises... " does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.
[0157] It should be noted that in the description of the present application, the description of the terms "one embodiment", "some embodiments", "an example", "a specific example", or "some examples" etc. means that the specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. The illustrative representation of the above terms in the present specification does not necessarily refer to the same embodiment or example. Moreover, the specific feature, structure, material or characteristic described can be combined in any suitable manner in one or more embodiments or examples. In addition, the person skilled in the art can combine and combine the different embodiments or examples described in the present specification and the features of the different embodiments or examples without contradiction.
Claims
1. A seismic analysis method, characterized in that: include: Collect collision information of multiple scaled models at different collision angles; obtaining simulated collision parameters according to the collision information, constructing a collision model according to the simulated collision parameters, and calculating equivalent stiffness and equivalent damping according to the collision model, wherein the simulated collision parameters include an acceleration curve and a restitution coefficient; constructing a mass matrix, a stiffness matrix, and a damping matrix according to the collision information, and correcting the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix, and the collision information; The collision model is verified according to the collision information.
2. The method according to claim 1, characterized in that The collision information includes: Collision angle, collision time, acceleration, collision velocity and mass.
3. The method according to claim 2, characterized in that Obtaining simulated collision parameters according to the collision information includes: The acceleration curve is obtained according to the acceleration, and the relative displacement and relative velocity are obtained by integrating the acceleration curve.
4. The method according to claim 3, characterized in that Obtaining simulated collision parameters according to the collision information includes: The restitution coefficient is obtained according to the collision velocity.
5. The method according to claim 4, characterized in that: The collision model includes: Collision force model and damping coefficient model.
6. The method according to claim 5, characterized in that Constructing a collision model according to the simulated collision parameters includes: The collision force model is constructed based on the relative velocity, the relative displacement, the mass, and the acceleration, and the expression is as follows: Among them F p (i) is a collision force curve constructed based on the mass and the acceleration, U(i) is the relative displacement, is the relative velocity, k(i) is the equivalent stiffness, i is the index of the i-th scaling model, and m and n are model parameters.
7. The method according to claim 5, characterized in that Constructing a collision model according to the simulated collision parameters includes: The damping coefficient model is constructed according to the equivalent stiffness, the restitution coefficient and the relative velocity, and the expression is as follows: Where c(i) is the equivalent damping, e is the restitution coefficient, is the relative speed, and i is the index of the i-th scaling model.
8. The method according to claim 3, characterized in that: Correcting the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix, and the collision information includes: A structural mechanics verification model is constructed according to the mass matrix, the stiffness matrix, the damping matrix, the acceleration, the relative displacement, and the relative velocity. An external force is obtained according to the mechanics verification model, and the external force is introduced into the collision model to iterate the equivalent stiffness and the equivalent damping.
9. The method according to claim 2, characterized in that: Constructing a mass matrix, a stiffness matrix, and a damping matrix according to the collision information, including: constructing the mass matrix according to the number and mass of the scaled models; constructing the stiffness matrix according to the number of the scaled models and the equivalent stiffness; The damping matrix is constructed according to the number of the scaled models and the equivalent damping.
10. The method according to claim 1, characterized in that: Verifying the collision model according to the collision information includes: The actual acceleration and actual collision time are collected in the actual collision, and the actual seismic wave curve is constructed. A simulated seismic wave curve is generated according to the collision model. The actual seismic wave curve is compared with the simulated seismic wave curve to obtain an error value. If the error value is higher than the error threshold, the collision model is reconstructed. If the error value is lower than the error threshold, the verification is passed.
11. A seismic analysis device, characterized in that: include: A collection module, used to collect collision information of multiple scaled models at different collision angles; a modeling module, configured to obtain simulated collision parameters according to the collision information, construct a collision model according to the simulated collision parameters, and calculate equivalent stiffness and equivalent damping according to the collision model, wherein the simulated collision parameters include an acceleration curve and a restitution coefficient; a correction module, configured to construct a mass matrix, a stiffness matrix, and a damping matrix according to the collision information, and to correct the equivalent stiffness and the equivalent damping according to the mass matrix, the stiffness matrix, the damping matrix, and the collision information; A verification module is used to verify the collision model according to the collision information.
12. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein the computer program can be executed by an electronic device to perform the method according to any one of claims 1 to 10.
13. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 10 are implemented.
14. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 10 through the computer program.
Citation Information
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