Methods, apparatus, equipment, media and products for seismic assessment of storage racks

Abstract

This application relates to a method, apparatus, device, medium, and product for seismic assessment of storage racks. The method includes: acquiring collision offset data for at least one simulated component in a simulation model corresponding to the storage rack to be seismically assessed; determining coupling mass parameters generated by the interaction between the cooling medium and the storage rack in its environment; acquiring excitation time history data required for seismic assessment of the storage rack; and performing a seismic assessment of the storage rack based on the coupling mass parameters, excitation time history data, and collision offset data. This method considers both the collision offset data corresponding to each simulated component in the simulation model and the coupling mass parameters generated by the interaction between the cooling medium and the storage rack. By combining the collision offset data, excitation time history data, and coupling mass parameters corresponding to at least one simulated component, the seismic assessment result of the storage rack can be determined more accurately, thereby improving the accuracy of the seismic assessment result.

Description

Technical Field

[0001] This application relates to the field of seismic assessment technology, and in particular to a method, apparatus, equipment, medium and product for seismic assessment of storage racks. Background Technology

[0002] Storage racks are the core storage carriers for spent fuel assemblies, installed in spent fuel pools. Their structural safety under seismic loads directly determines the safety of nuclear power plant operations. Therefore, it is essential to conduct seismic assessments of storage racks.

[0003] In related technologies, seismic assessments of storage grids are obtained by performing seismic evaluations on simulation models corresponding to the actual storage grids. However, the simulation models constructed in these technologies can only simulate the overall beam-like response of the storage grids, lacking attention to key components. Furthermore, these technologies simplify the interaction between the fluid surrounding the storage grids and the grids to a fixed fluid-added mass. Therefore, the seismic assessment results obtained based on these technologies are not highly accurate.

[0004] Therefore, improving the accuracy of seismic assessment results for storage racks is a problem worthy of attention. Summary of the Invention

[0005] Therefore, it is necessary to provide a method, apparatus, equipment, medium, and product for seismic assessment of storage grids that can improve the accuracy of seismic assessment results for the aforementioned technical problems.

[0006] In a first aspect, this application provides a method for seismic assessment of storage racks, including:

[0007] Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0008] Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack;

[0009] Obtain the excitation time history data required for seismic assessment of storage racks;

[0010] Based on the coupling mass parameters, excitation time history data, and collision offset data, the seismic resistance of the storage grid is evaluated.

[0011] In one embodiment, determining the coupling mass parameter resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack includes: determining a first mass of the cooling medium contained inside the storage rack; determining a second mass of the cooling medium surrounding the storage rack based on the size of the gap around the storage rack, and the fluid-structure interaction mass corresponding to the storage rack; wherein the coupling mass parameter includes at least one of the first mass, the second mass, and the fluid-structure interaction mass.

[0012] In one embodiment, determining the second mass of the cooling medium surrounded by the storage rack based on the size of the gap around the storage rack includes: determining the volume of the space surrounding the storage rack based on the size of the gap around the storage rack; and determining the second mass of the cooling medium surrounded by the storage rack based on the volume of the space and the density of the cooling medium.

[0013] In one embodiment, determining the fluid-structure interaction quality corresponding to the storage rack based on the size of the gap around the storage rack includes: determining the fluid-structure interaction quality that matches the size of the gap around the storage rack based on a first mapping relationship; wherein the first mapping relationship includes the fluid-structure interaction quality corresponding to different preset sizes.

[0014] In one embodiment, the simulation component includes at least one of the following: a enclosure simulation component, a partition simulation component, a storage sleeve simulation component, a spent fuel assembly simulation component and a leg simulation component corresponding to the spent fuel assembly stored in the storage sleeve and the outrigger, respectively.

[0015] In one embodiment, collision offset data is obtained for at least one component in the simulation model corresponding to the storage grid to be assessed for seismic resistance, including at least one of the following: determining horizontal collision offset data between the storage grid and adjacent storage grids based on nodes set in the enclosure simulation component; determining radial collision offset data between the storage sleeve and the partition based on nodes set in the center of the partition simulation component; determining vertical collision offset data at the top of the storage sleeve based on nodes set in the storage sleeve simulation component; determining first collision offset data between the storage sleeve and the spent fuel assembly based on nodes set in the spent fuel assembly simulation component; determining second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes collision offset data corresponding to friction behavior, slip behavior, and jump behavior.

[0016] In one embodiment, a seismic assessment of the storage grid is performed based on coupling mass parameters, excitation time history data, and collision offset data. This includes: obtaining a standard grid model corresponding to the storage grid; obtaining a first modal analysis result obtained by modal analysis of the simulation model and a second modal analysis result obtained by modal analysis of the standard grid model; determining the verification result of the simulation model based on the difference between the first and second modal analysis results; and, if the verification result indicates that the simulation model is qualified, performing a seismic assessment of the storage grid based on coupling mass parameters, excitation time history data, and collision offset data.

[0017] In one embodiment, the verification result of the simulation model is determined based on the difference between the first modal analysis result and the second modal analysis result, including: if the difference between the first natural frequency in the first modal analysis result and the second natural frequency in the second modal analysis result is not greater than a preset difference, and the degree of agreement between the first modal displacement in the first modal analysis result and the second modal displacement in the second modal analysis result is not less than a preset degree of agreement, the simulation model is determined to be qualified.

[0018] In one embodiment, the seismic assessment of the storage grid is performed based on the coupling mass parameters, excitation time history data, and collision offset data, including: assigning the coupling mass parameters to at least one simulation component to obtain the additional coupling mass corresponding to each simulation component; and performing the seismic assessment of the storage grid based on the excitation time history data and each additional coupling mass.

[0019] In one embodiment, the seismic assessment of the storage grid is performed based on the excitation time history data and each additional coupling mass, including: determining the target seismic response of the simulation model corresponding to the storage grid based on the excitation time history data and each additional coupling mass; mapping the target seismic response to the standard grid model corresponding to the storage grid to obtain the stress data corresponding to the standard grid model; and performing the seismic assessment of the storage grid based on the stress data.

[0020] In one embodiment, the target seismic response of the simulation model corresponding to the storage grid is determined based on the excitation time history data and each additional coupling mass, including: determining the seismic response data of the storage grid under at least one load condition based on the excitation time history data and the additional coupling mass; the load condition includes at least one of full load, half load and no load; and selecting the target seismic response from each seismic response data.

[0021] In one embodiment, selecting a target seismic response from the various seismic response data includes: selecting the seismic response data with the largest value as the target seismic response.

[0022] Secondly, this application also provides a seismic assessment device for storage racks, comprising:

[0023] The first acquisition module is used to acquire collision offset data for at least one simulation component in the simulation model of the storage grid to be subjected to seismic assessment.

[0024] The determination module is used to determine the coupling mass parameters generated by the interaction between the cooling medium and the storage rack in the environment where the storage rack is located;

[0025] The second acquisition module is used to acquire the excitation time history data required for seismic assessment of the storage grid.

[0026] The evaluation module is used to perform seismic evaluation of the storage grid based on coupling mass parameters, excitation time history data, and collision offset data.

[0027] Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0028] Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0029] Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack;

[0030] Obtain the excitation time history data required for seismic assessment of storage racks;

[0031] Based on the coupling mass parameters, excitation time history data, and collision offset data, the seismic resistance of the storage grid is evaluated.

[0032] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0033] Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0034] Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack;

[0035] Obtain the excitation time history data required for seismic assessment of storage racks;

[0036] Based on the coupling mass parameters, excitation time history data, and collision offset data, the seismic resistance of the storage grid is evaluated.

[0037] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0038] Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0039] Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack;

[0040] Obtain the excitation time history data required for seismic assessment of storage racks;

[0041] Based on the coupling mass parameters, excitation time history data, and collision offset data, the seismic resistance of the storage grid is evaluated.

[0042] The aforementioned method, apparatus, equipment, medium, and product for seismic assessment of storage racks involve: acquiring collision offset data for at least one simulated component in the simulation model corresponding to the storage rack to be seismically assessed; determining the coupling mass parameters generated by the interaction between the cooling medium and the storage rack in the environment where the storage rack is located; acquiring the excitation time history data required for seismic assessment of the storage rack; and conducting a seismic assessment of the storage rack based on the coupling mass parameters, excitation time history data, and collision offset data. In this process, both the collision offset data corresponding to each simulated component in the simulation model and the coupling mass parameters generated by the interaction between the cooling medium and the storage rack are considered. By combining the collision offset data, excitation time history data, and coupling mass parameters corresponding to at least one simulated component, the seismic assessment results of the storage rack can be determined more accurately, thereby improving the accuracy of the seismic assessment results. Attached Figure Description

[0043] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0044] Figure 1 This is an application environment diagram of the seismic assessment method for storage grids in one embodiment;

[0045] Figure 2 This is a flowchart illustrating a seismic assessment method for storage racks in one embodiment;

[0046] Figure 3 This is a flowchart illustrating the steps for determining coupling quality parameters in one embodiment;

[0047] Figure 4 This is a flowchart illustrating the seismic assessment steps in one embodiment;

[0048] Figure 5 This is a flowchart illustrating the seismic assessment steps in another embodiment;

[0049] Figure 6 This is a schematic diagram of the center of gravity of the storage rack in one embodiment;

[0050] Figure 7 This is a flowchart illustrating the seismic assessment method for storage racks in another embodiment;

[0051] Figure 8 This is a structural block diagram of a seismic assessment device for a storage grid in one embodiment;

[0052] Figure 9 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0053] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0054] The seismic assessment method for storage racks provided in this application can be applied to, for example... Figure 1 In the application environment shown, terminal 102 communicates with server 104 via a network. A data storage system can store the data that server 104 needs to process. The data storage system can be integrated onto server 104 or located on the cloud or other network servers. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can include smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, projection devices, etc. Portable wearable devices can include smartwatches, smart bracelets, head-mounted devices, etc. Head-mounted devices can be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, etc. Server 104 can be a standalone physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0055] In one exemplary embodiment, such as Figure 2 As shown, a seismic assessment method for storage racks is provided, which can be applied to... Figure 1 Taking the server in the example, the following steps are included:

[0056] S210, Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0057] Among them, the storage rack can be understood as a storage rack used to store spent fuel assemblies, that is, a spent fuel assembly storage rack.

[0058] The simulation model can be understood as a simplified physical simulation model based on the structure of the storage grid.

[0059] Among them, the simulation component can be understood as a physical simulation component built based on the real components of the storage rack.

[0060] In some embodiments, the simulation components in the simulation model may include at least one of the following: a enclosure simulation component, a partition simulation component, a storage sleeve simulation component, a spent fuel assembly simulation component and a leg simulation component corresponding to the spent fuel assembly stored in the storage sleeve and the outrigger, respectively.

[0061] The collision offset data can be understood as the collision offset direction and / or collision offset amount.

[0062] In some embodiments, acquiring collision offset data for at least one simulated component in the simulation model corresponding to the storage grid to be subjected to seismic assessment may include at least one of the following:

[0063] A. Based on the nodes set in the enclosure simulation component, determine the horizontal collision offset data between the storage rack and the adjacent storage rack.

[0064] In some embodiments, a preset number of nodes can be selected from each edge of the enclosure simulation component to simulate the horizontal collision between the storage rack and adjacent storage racks, thereby obtaining the horizontal collision offset data between the storage rack and adjacent storage racks.

[0065] B. Determine the radial collision offset data between the storage sleeve and the partition based on the node set at the center of the partition simulation component.

[0066] In some embodiments, at least one node can be set at the center of each partition simulation component to simulate the radial collision between the storage sleeve and the partition, thereby obtaining radial collision offset data between the storage sleeve and the partition.

[0067] In some embodiments, the simulation structure composed of the enclosure simulation component and the partition simulation component can be defined as a pillar-enclosure super unit.

[0068] C. Determine the vertical collision offset data of the top of the storage sleeve based on the nodes set in the storage sleeve simulation component.

[0069] In some embodiments, a preset number of nodes can be selected on each side of the storage sleeve simulation component to simulate the vertical collision at the top of the storage sleeve, thereby obtaining the vertical collision offset data at the top of the storage sleeve.

[0070] D. Determine the first collision offset data between the storage sleeve and the spent fuel assembly based on the nodes set in the spent fuel assembly simulation component.

[0071] In some embodiments, a corresponding node can be set in the simulation component of the spent fuel assembly corresponding to the storage sleeve simulation component to simulate the first collision between the storage sleeve and the spent fuel assembly, and obtain the first collision offset data between the storage sleeve and the spent fuel assembly.

[0072] E. Determine the second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes the collision offset data corresponding to friction behavior, sliding behavior, and jumping behavior.

[0073] In some embodiments, the endpoints of the outrigger simulation component can be used as nodes to simulate the friction, sliding, and jumping of the outrigger simulation component, thereby obtaining collision offset data corresponding to the friction, sliding, and jumping behaviors of the outrigger simulation component.

[0074] S220, determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack.

[0075] The storage racks are placed in a pool filled with a cooling medium (such as boron water) to cool the spent fuel assemblies stored in the storage racks.

[0076] Among them, the coupling mass parameter, namely the fluid-structure interaction mass parameter, can be understood as the parameter that leads to mass transfer or equivalent mass effect in the interaction process between the cooling medium (fluid) and the storage grid (solid) (relative motion between the cooling medium and the storage grid after the application of seismic time history data).

[0077] In some embodiments, coupling quality parameters can be determined based on the cooling medium contained inside the storage rack, the cooling medium surrounding the storage rack, and the dimensions of the gaps around the storage rack.

[0078] S230, Obtain the excitation time history data required for seismic assessment of the storage grid.

[0079] The excitation time history data is applied to the simulation model corresponding to the storage grid to simulate earthquake conditions.

[0080] In some embodiments, historical earthquake time history data at the location of the storage grid can be acquired; excitation time history data can be determined based on the historical earthquake time history data.

[0081] S240 performs a seismic assessment of the storage grid based on coupling mass parameters, excitation time history data, and collision offset data.

[0082] In some embodiments, the target seismic response corresponding to the simulation model can be obtained based on the coupling mass parameters, excitation time history data and collision offset data, and the seismic performance of the storage grid can be evaluated based on the target seismic response.

[0083] The above-mentioned seismic assessment method for storage racks considers both the collision offset data corresponding to each simulated component in the simulation model and the coupling mass parameters generated by the interaction between the cooling medium and the storage rack. By combining the collision offset data, excitation time history data and coupling mass parameters corresponding to at least one simulated component, the seismic assessment results of the storage rack can be determined more accurately, thereby improving the accuracy of the seismic assessment results.

[0084] Based on the technical solutions of the above embodiments, this application also provides another optional embodiment, in which the step of determining the coupling quality parameters of S220 is refined.

[0085] See Figure 3 The steps for determining the coupling quality parameters shown include:

[0086] S310, determine the first mass of the cooling medium contained inside the storage rack.

[0087] In some embodiments, the first mass can be obtained based on the internal space volume of the storage rack and the density of the cooling medium.

[0088] In some embodiments, a predetermined first quality can be obtained directly.

[0089] S320, based on the dimensions of the gap around the storage rack, determine the second mass of the cooling medium surrounding the storage rack, and the fluid-structure interaction mass corresponding to the storage rack.

[0090] The coupling quality parameter includes at least one of the first quality, the second quality, and the fluid-structure interaction quality.

[0091] In this context, fluid-structure interaction mass can be understood as the mass of the surrounding cooling medium that is moved as the storage rack accelerates in the cooling medium. The mass of the moving surrounding cooling medium can be equivalent to the added mass of the storage rack, i.e., the additional mass.

[0092] In some embodiments, the second mass can be determined according to the following steps: determining the volume of the space surrounding the storage rack based on the dimensions of the gap around the storage rack; and determining the second mass of the cooling medium surrounding the storage rack based on the volume of the surrounding space and the density of the cooling medium.

[0093] The gaps around the storage racks may include the gap between the storage racks and the pool wall and / or the gaps between the storage racks and adjacent storage racks.

[0094] In some embodiments, the volume of the space surrounding the storage rack can be determined based on the dimensions of the clearance around the storage rack and the horizontal height of the cooling medium surrounded by the storage rack. It is understood that the cooling medium is contained within the volume of the surrounding space. A second mass of the cooling medium surrounded by the storage rack can be determined based on the volume of the surrounding space and the density of the cooling medium.

[0095] In some embodiments, the fluid-structure interaction quality can be determined by the following steps: determining the fluid-structure interaction quality that matches the size of the gap around the storage rack based on a first mapping relationship.

[0096] The first mapping relationship includes fluid-structure interaction quality corresponding to different preset sizes.

[0097] In some embodiments, the fluid-structure interaction mass may include a first fluid-structure interaction mass in a first horizontal direction and a second fluid-structure interaction mass in a second horizontal direction; the first horizontal direction and the second horizontal direction are perpendicular to each other.

[0098] In some embodiments, the first mapping relationship may be pre-constructed. The first fluid-structure interaction mass and the second fluid-structure interaction mass have a non-linear relationship based on the size of the gap around the storage rack.

[0099] Based on the technical solutions of the above embodiments, this application also provides another optional embodiment, in which the seismic assessment steps of S240 are refined.

[0100] See Figure 4 The seismic assessment steps shown include:

[0101] S410, Obtain the standard grid model corresponding to the storage grid.

[0102] The standard grid model can be understood as a refined physical simulation model based on the structure of the storage grid.

[0103] Among them, the standard lattice model has more types and / or more simulation components than the simulation model.

[0104] S420, respectively obtain the first modal analysis result obtained by modal analysis of the simulation model and the second modal analysis result obtained by modal analysis of the standard lattice model.

[0105] The modal analysis results may include natural frequencies and modal displacements. Specifically, the first modal analysis results may include a first natural frequency and a first modal displacement. The second modal analysis results may include a second natural frequency and a second modal displacement.

[0106] In some embodiments, the first three horizontal and vertical modal analyses can be performed on the simulation model and the standard lattice model respectively using the Block Lanczos method.

[0107] S430, Based on the difference between the results of the first modal analysis and the results of the second modal analysis, determine the verification result of the simulation model.

[0108] In some embodiments, the simulation model is deemed qualified if the difference between the first natural frequency and the second natural frequency is not greater than a preset difference and the degree of agreement between the first modal displacement and the second modal displacement is not less than a preset degree of agreement.

[0109] For example, if the difference between the first natural frequency and the second natural frequency is no greater than 2%, and the consistency between the first modal displacement and the second modal displacement is no less than 90%, the simulation model can be deemed qualified, that is, the seismic assessment results obtained when using the simulation model for seismic assessment can be considered accurate.

[0110] In some embodiments, if the difference between the first natural frequency and the second natural frequency is greater than a preset difference, and / or the degree of agreement between the first modal displacement and the second modal displacement is less than a preset degree of agreement, the simulation model can be determined to be unqualified, and the adjustment parameters corresponding to the simulation model (such as the number of collision offset data corresponding to at least one simulation component in the simulation model or the position of a node set in at least one simulation) can be determined to adjust the simulation model.

[0111] S440, if the verification results indicate that the simulation model is qualified, performs a seismic assessment of the storage grid based on the coupling mass parameters, excitation time history data and various collision offset data.

[0112] In some embodiments, after the simulation model has passed verification, a complete simulation model of the entire pool can be obtained by replicating the simulation model according to the size of the pool and the simulation model itself. Spring units with gaps are used to simulate collisions between storage racks and between the storage racks and the pool wall, and the spring parameters are set. For example, the initial gap can be set to 5-50 mm, and the spring stiffness to be 1×10⁵ N / m to 1×10⁷ N / m. Three-dimensional contact units can also be set between the support legs and the steel cladding of the pool bottom, for example, with friction coefficients of 0.2, 0.5, and 0.8, corresponding to wet, dry, and oily conditions respectively. Subsequent analysis can use the maximum value for each condition.

[0113] Based on the technical solutions of the above embodiments, this application also provides another optional embodiment, in which the seismic assessment steps of S240 are refined.

[0114] See Figure 5 The seismic assessment steps shown include:

[0115] S510, the coupling quality parameters are assigned to at least one simulation component to obtain the additional coupling quality corresponding to each simulation component.

[0116] The additional coupling mass can be understood as the added mass of the storage grid.

[0117] In some embodiments, coupling quality parameters can be assigned to each node in at least one simulation component based on the number of nodes set in at least one simulation component.

[0118] In some embodiments, additional coupling quality can be generated based on the number of nodes set in at least one simulation component, where each element of the additional coupling quality represents the coupling quality matched to the corresponding node. The additional coupling quality assigns coupling quality parameters to each node set in at least one simulation component.

[0119] S520 performs a seismic assessment of the storage grid based on excitation time history data and various additional coupling masses.

[0120] In some embodiments, the target seismic response of the simulation model corresponding to the storage grid can be determined based on the excitation time history data and each additional coupling mass; the target seismic response can be mapped to the standard grid model corresponding to the storage grid to obtain the stress data corresponding to the standard grid model; and the seismic performance of the storage grid can be evaluated based on the stress data.

[0121] The target seismic response may include at least one of the following: outrigger impact acceleration, jump height (maximum vertical displacement), and horizontal sliding displacement.

[0122] In some embodiments, the seismic response data of the storage grid under at least one load condition can be determined based on excitation time history data and additional coupling mass; the load condition includes at least one of full load, half load, and no load; a target seismic response is selected from the various seismic response data. In some embodiments, the seismic response data with the largest value can be used as the target seismic response.

[0123] In some embodiments, after obtaining the target seismic response, the superelement expansion function in the simulation software can be invoked to map the target seismic response to the standard lattice model corresponding to the storage lattice, thereby obtaining the stress data corresponding to the standard lattice model.

[0124] The stress data may include at least one of the following: the stress around the base plate threaded sleeve, the stress at the connection section between the sleeve and the grid, and the stress at the root of the support leg.

[0125] In some embodiments, if the stress data is not greater than a preset stress threshold (allowable stress), it can be determined that the storage rack meets the seismic requirements.

[0126] In some embodiments, if the stress data is greater than a preset stress threshold (allowable stress), it can be determined that the storage rack does not meet the seismic requirements, and the optimization method of the storage rack can be determined. For example, the fillet radius of the screw holes can be increased or reinforcing ribs can be added.

[0127] In some embodiments, the center-of-gravity response data of the storage grid can also be determined. If the center-of-gravity response data extends beyond the vertical line of the edge legs, it can be determined that the storage grid will overturn under an earthquake. Figure 6 A schematic diagram of the center of gravity of the storage rack shown. (G in the diagram) c G is the center of gravity of the storage rack. c Let ' be the location of the center of gravity when the overturning is about to occur, Δh be the height the center of gravity rises, d be the height of the outriggers, and L be the distance between the outriggers. The increase in potential energy of the storage grid during the overturning process is: Where ΔE is the increase in potential energy; M is the mass of the storage rack; g is the acceleration due to gravity; and Δh is the height at which the center of gravity is lifted. The smaller the increase in potential energy, the more prone the storage rack is to tipping over; tipping is more likely under half-load conditions than under full-load conditions.

[0128] Calculate the minimum rotation angle θ of the storage rack when it overturns, and obtain the minimum jump height L of the corresponding storage rack when it overturns. u In an earthquake, the jumping height of the outrigger is obtained as L. max If L max Less than L u If so, the storage racks will not overturn during an earthquake.

[0129] Based on the technical solutions of the above embodiments, this application also provides another optional embodiment, in which the seismic assessment method of the storage grid is described in detail.

[0130] See Figure 7 The seismic assessment method for the storage racks shown includes:

[0131] S701, Obtain collision offset data for at least one component in the simulation model of the storage grid to be subjected to seismic assessment.

[0132] In some embodiments, acquiring collision offset data for at least one component in the simulation model corresponding to the storage grid to be subjected to seismic assessment includes at least one of the following: determining horizontal collision offset data between the storage grid and adjacent storage grids based on nodes set in the enclosure simulation component; determining radial collision offset data between the storage sleeve and the partition based on nodes set at the center of the partition simulation component; determining vertical collision offset data at the top of the storage sleeve based on nodes set in the storage sleeve simulation component; determining first collision offset data between the storage sleeve and the spent fuel assembly based on nodes set in the spent fuel assembly simulation component; and determining second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes collision offset data corresponding to friction behavior, slip behavior, and jump behavior.

[0133] S702, determine the first mass of the cooling medium contained inside the storage rack.

[0134] S703, determine the volume of the space surrounding the storage rack based on the dimensions of the gaps around the storage rack.

[0135] S704, determine the second mass of the cooling medium surrounding the storage rack based on the volume of the surrounding space and the density of the cooling medium.

[0136] S705, based on the first mapping relationship, determines the fluid-structure interaction mass that matches the size of the gap around the storage rack, and uses the first mass, the second mass, and the fluid-structure interaction mass as coupling mass parameters.

[0137] The first mapping relationship includes fluid-structure interaction quality corresponding to different preset sizes.

[0138] S706, Obtain the excitation time history data required for seismic assessment of storage grids.

[0139] S707, Obtain the standard grid model corresponding to the storage grid.

[0140] S708, respectively obtain the first modal analysis result obtained by modal analysis of the simulation model and the second modal analysis result obtained by modal analysis of the standard lattice model.

[0141] S709, if the difference between the first natural frequency in the first modal analysis result and the second natural frequency in the second modal analysis result is not greater than a preset difference, and the degree of agreement between the first modal displacement in the first modal analysis result and the second modal displacement in the second modal analysis result is not less than a preset degree of agreement, the simulation model is determined to be qualified.

[0142] S710, the coupling quality parameters are assigned to at least one simulation component to obtain the additional coupling quality corresponding to each simulation component.

[0143] S711, based on excitation time history data and additional coupling mass, determine the seismic response data of the storage grid under at least one load condition; the load condition includes at least one of full load, half load and no load.

[0144] S712 uses the seismic response data with the largest value as the target seismic response.

[0145] S713 maps the target seismic response to the standard lattice model corresponding to the storage lattice, and obtains the stress data corresponding to the standard lattice model.

[0146] S714, based on stress data, conduct seismic assessment of the storage racks.

[0147] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0148] Based on the same inventive concept, this application also provides a seismic assessment device for storage racks to implement the seismic assessment method for storage racks described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations of one or more embodiments of the seismic assessment device for storage racks provided below can be found in the limitations of the seismic assessment method for storage racks described above, and will not be repeated here.

[0149] In one exemplary embodiment, such as Figure 8 As shown, a seismic assessment device for storage racks is provided, comprising: a first acquisition module 810, a determination module 820, a second acquisition module 830, and an assessment module 840, wherein:

[0150] The first acquisition module 810 is used to acquire collision offset data corresponding to at least one simulation component in the simulation model of the storage grid to be subjected to seismic assessment.

[0151] The determination module 820 is used to determine the coupling mass parameters generated by the interaction between the cooling medium and the storage rack in the environment where the storage rack is located;

[0152] The second acquisition module 830 is used to acquire the excitation time history data required for seismic assessment of the storage grid;

[0153] Evaluation module 840 is used to perform seismic evaluation of the storage grid based on coupling mass parameters, excitation time history data and various collision offset data.

[0154] In one embodiment, the determining module 820 is specifically configured to: determine a first mass of the cooling medium contained inside the storage rack; determine a second mass of the cooling medium surrounded by the storage rack, and a fluid-structure interaction mass corresponding to the storage rack, based on the size of the gap around the storage rack; wherein the interaction mass parameter includes at least one of the first mass, the second mass, and the fluid-structure interaction mass.

[0155] In one embodiment, the determining module 820 is specifically configured to: determine the volume of the space surrounding the storage rack based on the dimensions of the gap around the storage rack; and determine the second mass of the cooling medium surrounding the storage rack based on the volume of the space and the density of the cooling medium.

[0156] In one embodiment, the determining module 820 is specifically used to: determine the fluid-structure interaction mass that matches the size of the gap around the storage rack based on a first mapping relationship; wherein the first mapping relationship includes fluid-structure interaction masses corresponding to different preset sizes.

[0157] In one embodiment, the simulation component includes at least one of the following: a enclosure simulation component, a partition simulation component, a storage sleeve simulation component, a spent fuel assembly simulation component and a leg simulation component corresponding to the spent fuel assembly stored in the storage sleeve and the outrigger, respectively.

[0158] In one embodiment, the first acquisition module 810 is specifically configured to: determine horizontal collision offset data between the storage rack and adjacent storage racks based on nodes set in the enclosure simulation component; determine radial collision offset data between the storage sleeve and the partition based on nodes set at the center of the partition simulation component; determine vertical collision offset data at the top of the storage sleeve based on nodes set in the storage sleeve simulation component; determine first collision offset data between the storage sleeve and the spent fuel assembly based on nodes set in the spent fuel assembly simulation component; and determine second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes collision offset data corresponding to friction behavior, sliding behavior, and jumping behavior.

[0159] In one embodiment, the evaluation module 840 is specifically used for: acquiring a standard grid model corresponding to the storage grid; acquiring a first modal analysis result obtained by modal analysis of the simulation model and a second modal analysis result obtained by modal analysis of the standard grid model; determining the verification result of the simulation model based on the difference between the first modal analysis result and the second modal analysis result; and, if the verification result indicates that the simulation model is qualified, performing a seismic assessment of the storage grid based on the coupling mass parameters, excitation time history data, and various collision offset data.

[0160] In one embodiment, the evaluation module 840 is specifically used to: determine that the simulation model is qualified when the difference between the first natural frequency in the first modal analysis result and the second natural frequency in the second modal analysis result is not greater than a preset difference, and the degree of agreement between the first modal displacement in the first modal analysis result and the second modal displacement in the second modal analysis result is not less than a preset degree of agreement.

[0161] In one embodiment, the evaluation module 840 is specifically used to: assign coupling mass parameters to at least one simulation component to obtain the additional coupling mass corresponding to each simulation component; and perform seismic evaluation on the storage grid based on the excitation time history data and each additional coupling mass.

[0162] In one embodiment, the evaluation module 840 is specifically used to: determine the target seismic response of the simulation model corresponding to the storage grid based on the excitation time history data and each additional coupling mass; map the target seismic response to the standard grid model corresponding to the storage grid to obtain the stress data corresponding to the standard grid model; and perform seismic evaluation on the storage grid based on the stress data.

[0163] In one embodiment, the evaluation module 840 is specifically configured to: determine the seismic response data of the storage grid under at least one load condition based on the excitation time history data and the additional coupling mass; the load condition includes at least one of full load, half load and no load; and select a target seismic response from the seismic response data.

[0164] In one embodiment, the evaluation module 840 is specifically used to: take the seismic response data with the largest value as the target seismic response.

[0165] Each module in the aforementioned seismic assessment device for storage racks can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0166] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 9 As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores relevant data such as collision offset data, coupling mass parameters, and excitation time history data. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When executed by the processor, the computer program implements a seismic assessment method for storage racks.

[0167] Those skilled in the art will understand that Figure 9 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0168] In one exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the seismic assessment method for storage grids provided in any of the above embodiments, or to implement the following steps:

[0169] Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0170] Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack;

[0171] Obtain the excitation time history data required for seismic assessment of storage racks;

[0172] Based on the coupling mass parameters, excitation time history data, and collision offset data, the seismic resistance of the storage grid is evaluated.

[0173] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining a first mass of the cooling medium contained inside the storage rack; determining a second mass of the cooling medium surrounded by the storage rack, and a fluid-structure interaction mass corresponding to the storage rack, based on the size of the gap around the storage rack; wherein the interaction mass parameter includes at least one of the first mass, the second mass, and the fluid-structure interaction mass.

[0174] In one embodiment, the processor, when executing the computer program, also performs the following steps: determining the volume of the space surrounding the storage rack based on the dimensions of the gap around the storage rack; and determining a second mass of the cooling medium surrounding the storage rack based on the volume of the surrounding space and the density of the cooling medium.

[0175] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining a fluid-structure interaction mass that matches the size of the gap around the storage rack based on a first mapping relationship; wherein the first mapping relationship includes fluid-structure interaction masses corresponding to different preset sizes.

[0176] In one embodiment, the simulation component includes at least one of the following: a enclosure simulation component, a partition simulation component, a storage sleeve simulation component, a spent fuel assembly simulation component and a leg simulation component corresponding to the spent fuel assembly and the outrigger stored in the storage sleeve, respectively.

[0177] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining horizontal collision offset data between the storage rack and adjacent storage racks based on nodes set in the enclosure simulation component; determining radial collision offset data between the storage sleeve and the partition based on nodes set at the center of the partition simulation component; determining vertical collision offset data at the top of the storage sleeve based on nodes set in the storage sleeve simulation component; determining first collision offset data between the storage sleeve and the spent fuel assembly based on nodes set in the spent fuel assembly simulation component; and determining second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes collision offset data corresponding to friction behavior, sliding behavior, and jumping behavior.

[0178] In one embodiment, when the processor executes the computer program, it further performs the following steps: obtaining a standard grid model corresponding to the storage grid; obtaining a first modal analysis result obtained by modal analysis of the simulation model and a second modal analysis result obtained by modal analysis of the standard grid model; determining the verification result of the simulation model based on the difference between the first modal analysis result and the second modal analysis result; and, if the verification result indicates that the simulation model is qualified, performing a seismic assessment of the storage grid based on the coupling mass parameters, excitation time history data, and various collision offset data.

[0179] In one embodiment, when the processor executes the computer program, it further performs the following steps: if the difference between the first natural frequency in the first modal analysis result and the second natural frequency in the second modal analysis result is not greater than a preset difference, and the degree of agreement between the first modal displacement in the first modal analysis result and the second modal displacement in the second modal analysis result is not less than a preset degree of agreement, then the simulation model is determined to be qualified.

[0180] In one embodiment, when the processor executes the computer program, it further performs the following steps: assigning coupling mass parameters to at least one simulation component to obtain additional coupling mass corresponding to each simulation component; and performing seismic assessment of the storage grid based on excitation time history data and each additional coupling mass.

[0181] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the target seismic response corresponding to the simulation model of the storage grid based on the excitation time history data and each additional coupling mass; mapping the target seismic response to the standard grid model corresponding to the storage grid to obtain the stress data corresponding to the standard grid model; and performing a seismic assessment of the storage grid based on the stress data.

[0182] In one embodiment, when the processor executes the computer program, it further performs the following steps: determining the seismic response data of the storage grid under at least one load condition based on the excitation time history data and the additional coupling mass; the load condition includes at least one of full load, half load and no load; and selecting a target seismic response from the seismic response data.

[0183] In one embodiment, when the processor executes the computer program, it also performs the following steps: taking the seismic response data with the largest value as the target seismic response.

[0184] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon. When executed by a processor, the computer program implements the steps of the seismic assessment method for storage grids provided in any of the above embodiments, or implements the following steps:

[0185] Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0186] Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack;

[0187] Obtain the excitation time history data required for seismic assessment of storage racks;

[0188] Based on the coupling mass parameters, excitation time history data, and collision offset data, the seismic resistance of the storage grid is evaluated.

[0189] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining a first mass of the cooling medium contained inside the storage rack; determining a second mass of the cooling medium surrounded by the storage rack, and a fluid-structure interaction mass corresponding to the storage rack, based on the size of the gap around the storage rack; wherein the interaction mass parameter includes at least one of the first mass, the second mass, and the fluid-structure interaction mass.

[0190] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the volume of the space surrounding the storage rack based on the dimensions of the gap around the storage rack; and determining a second mass of the cooling medium surrounding the storage rack based on the volume of the surrounding space and the density of the cooling medium.

[0191] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining a fluid-structure interaction mass that matches the size of the gap around the storage rack based on a first mapping relationship; wherein the first mapping relationship includes fluid-structure interaction masses corresponding to different preset sizes.

[0192] In one embodiment, the simulation component includes at least one of the following: a enclosure simulation component, a partition simulation component, a storage sleeve simulation component, a spent fuel assembly simulation component and a leg simulation component corresponding to the spent fuel assembly and the outrigger stored in the storage sleeve, respectively.

[0193] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: determining horizontal collision offset data between a storage rack and an adjacent storage rack based on nodes set in the enclosure simulation component; determining radial collision offset data between a storage sleeve and a partition based on nodes set at the center of the partition simulation component; determining vertical collision offset data at the top of the storage sleeve based on nodes set in the storage sleeve simulation component; determining first collision offset data between the storage sleeve and the spent fuel assembly based on nodes set in the spent fuel assembly simulation component; and determining second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes collision offset data corresponding to friction behavior, sliding behavior, and jumping behavior.

[0194] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining a standard grid model corresponding to the storage grid; obtaining a first modal analysis result obtained by modal analysis of the simulation model and a second modal analysis result obtained by modal analysis of the standard grid model; determining the verification result of the simulation model based on the difference between the first modal analysis result and the second modal analysis result; and, if the verification result indicates that the simulation model is qualified, performing a seismic assessment of the storage grid based on the coupling mass parameters, excitation time history data, and various collision offset data.

[0195] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: if the difference between the first natural frequency in the first modal analysis result and the second natural frequency in the second modal analysis result is not greater than a preset difference, and the degree of agreement between the first modal displacement in the first modal analysis result and the second modal displacement in the second modal analysis result is not less than a preset degree of agreement, then the simulation model is determined to be qualified.

[0196] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: assigning coupling mass parameters to at least one simulation component to obtain the additional coupling mass corresponding to each simulation component; and performing a seismic assessment of the storage grid based on the excitation time history data and each additional coupling mass.

[0197] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the target seismic response corresponding to the simulation model of the storage grid based on the excitation time history data and each additional coupling mass; mapping the target seismic response to the standard grid model corresponding to the storage grid to obtain the stress data corresponding to the standard grid model; and performing a seismic assessment of the storage grid based on the stress data.

[0198] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the seismic response data of the storage grid under at least one load condition based on the excitation time history data and the additional coupling mass; the load condition includes at least one of full load, half load and no load; and selecting a target seismic response from the seismic response data.

[0199] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: taking the seismic response data with the largest value as the target seismic response.

[0200] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps of the seismic assessment method for storage racks provided in any of the above embodiments, or implements the following steps:

[0201] Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment.

[0202] Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack;

[0203] Obtain the excitation time history data required for seismic assessment of storage racks;

[0204] Based on the coupling mass parameters, excitation time history data, and collision offset data, the seismic resistance of the storage grid is evaluated.

[0205] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining a first mass of the cooling medium contained inside the storage rack; determining a second mass of the cooling medium surrounded by the storage rack, and a fluid-structure interaction mass corresponding to the storage rack, based on the size of the gap around the storage rack; wherein the interaction mass parameter includes at least one of the first mass, the second mass, and the fluid-structure interaction mass.

[0206] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the volume of the space surrounding the storage rack based on the dimensions of the gap around the storage rack; and determining a second mass of the cooling medium surrounding the storage rack based on the volume of the surrounding space and the density of the cooling medium.

[0207] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining a fluid-structure interaction mass that matches the size of the gap around the storage rack based on a first mapping relationship; wherein the first mapping relationship includes fluid-structure interaction masses corresponding to different preset sizes.

[0208] In one embodiment, the simulation component includes at least one of the following: a enclosure simulation component, a partition simulation component, a storage sleeve simulation component, a spent fuel assembly simulation component and a leg simulation component corresponding to the spent fuel assembly and the outrigger stored in the storage sleeve, respectively.

[0209] In one embodiment, when the computer program is executed by a processor, it further performs the following steps: determining horizontal collision offset data between a storage rack and an adjacent storage rack based on nodes set in the enclosure simulation component; determining radial collision offset data between a storage sleeve and a partition based on nodes set at the center of the partition simulation component; determining vertical collision offset data at the top of the storage sleeve based on nodes set in the storage sleeve simulation component; determining first collision offset data between the storage sleeve and the spent fuel assembly based on nodes set in the spent fuel assembly simulation component; and determining second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes collision offset data corresponding to friction behavior, sliding behavior, and jumping behavior.

[0210] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: obtaining a standard grid model corresponding to the storage grid; obtaining a first modal analysis result obtained by modal analysis of the simulation model and a second modal analysis result obtained by modal analysis of the standard grid model; determining the verification result of the simulation model based on the difference between the first modal analysis result and the second modal analysis result; and, if the verification result indicates that the simulation model is qualified, performing a seismic assessment of the storage grid based on the coupling mass parameters, excitation time history data, and various collision offset data.

[0211] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: if the difference between the first natural frequency in the first modal analysis result and the second natural frequency in the second modal analysis result is not greater than a preset difference, and the degree of agreement between the first modal displacement in the first modal analysis result and the second modal displacement in the second modal analysis result is not less than a preset degree of agreement, then the simulation model is determined to be qualified.

[0212] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: assigning coupling mass parameters to at least one simulation component to obtain the additional coupling mass corresponding to each simulation component; and performing a seismic assessment of the storage grid based on the excitation time history data and each additional coupling mass.

[0213] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the target seismic response corresponding to the simulation model of the storage grid based on the excitation time history data and each additional coupling mass; mapping the target seismic response to the standard grid model corresponding to the storage grid to obtain the stress data corresponding to the standard grid model; and performing a seismic assessment of the storage grid based on the stress data.

[0214] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: determining the seismic response data of the storage grid under at least one load condition based on the excitation time history data and the additional coupling mass; the load condition includes at least one of full load, half load and no load; and selecting a target seismic response from the seismic response data.

[0215] In one embodiment, when the computer program is executed by the processor, it further performs the following steps: taking the seismic response data with the largest value as the target seismic response.

[0216] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0217] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0218] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method of assessing the seismic resistance of a storage rack, characterized by, The method includes: Obtain collision offset data for at least one simulated component in the simulation model of the storage grid to be subjected to seismic assessment. Determine the coupling mass parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack; Obtain the excitation time history data required for seismic assessment of the storage rack; The seismic resistance of the storage grid is assessed based on the coupling mass parameters, the excitation time history data, and the collision offset data.

2. The method according to claim 1, characterized in that, include: The determination of the coupling quality parameters resulting from the interaction between the cooling medium in the environment where the storage rack is located and the storage rack includes: Determine the first mass of the cooling medium contained inside the storage rack; Based on the dimensions of the gap around the storage rack, determine the second mass of the cooling medium surrounded by the storage rack, and the fluid-structure interaction mass corresponding to the storage rack; The coupling quality parameter includes at least one of the first quality, the second quality, and the fluid-structure interaction quality.

3. The method according to claim 2, characterized in that, Determining the second mass of the cooling medium surrounded by the storage rack based on the size of the gap around the storage rack includes: The volume of the space surrounding the storage rack is determined based on the dimensions of the gaps around the storage rack. The second mass of the cooling medium surrounding the storage rack is determined based on the volume of the surrounding space and the density of the cooling medium.

4. The method according to claim 2, characterized in that, The fluid-structure interaction quality corresponding to the storage grid is determined based on the dimensions of the gaps around the storage grid, including: Based on the first mapping relationship, a fluid-structure interaction mass that matches the size of the gap around the storage rack is determined; wherein, the first mapping relationship includes fluid-structure interaction masses corresponding to different preset sizes.

5. The method according to claim 1, characterized in that, The simulation components include at least one of the following: a enclosure simulation component, a partition simulation component, a storage sleeve simulation component, and a spent fuel assembly simulation component and a leg simulation component corresponding to the spent fuel assembly and the outrigger stored in the storage sleeve, respectively.

6. The method according to claim 5, characterized in that, The acquisition of collision offset data for at least one component in the simulation model of the storage rack to be subjected to seismic assessment includes at least one of the following: Based on the nodes set in the enclosure simulation component, determine the horizontal collision offset data between the storage rack and the adjacent storage rack; Based on the node set at the center of the partition simulation component, determine the radial collision offset data between the storage sleeve and the partition; Based on the nodes set in the storage sleeve simulation component, the vertical collision offset data of the top of the storage sleeve is determined; Based on the nodes set in the spent fuel assembly simulation component, the first collision offset data between the storage sleeve and the spent fuel assembly is determined; Determine the second collision offset data corresponding to the outrigger simulation component; the second collision offset data includes collision offset data corresponding to friction behavior, sliding behavior, and jumping behavior.

7. The method according to claim 1, characterized in that, The seismic assessment of the storage rack based on the coupling mass parameters, the excitation time history data, and each of the collision offset data includes: Obtain the standard grid model corresponding to the storage grid; The first modal analysis result obtained by performing modal analysis on the simulation model and the second modal analysis result obtained by performing modal analysis on the standard lattice model are obtained respectively. Based on the differences between the first modal analysis results and the second modal analysis results, the verification results of the simulation model are determined; If the verification results indicate that the simulation model is qualified, the seismic resistance of the storage grid is evaluated based on the coupling mass parameters, the excitation time history data, and the collision offset data.

8. The method according to claim 7, characterized in that, The step of determining the verification result of the simulation model based on the difference between the first modal analysis result and the second modal analysis result includes: If the difference between the first natural frequency in the first modal analysis result and the second natural frequency in the second modal analysis result is not greater than a preset difference, and the degree of agreement between the first modal displacement in the first modal analysis result and the second modal displacement in the second modal analysis result is not less than a preset degree of agreement, then the simulation model is determined to be qualified.

9. The method according to claim 1, characterized in that, The seismic assessment of the storage rack based on the coupling mass parameters, the excitation time history data, and each of the collision offset data includes: The coupling quality parameters are assigned to the at least one simulation component to obtain the additional coupling quality corresponding to each simulation component. The seismic resistance of the storage grid is assessed based on the excitation time history data and the additional coupling mass.

10. The method according to claim 9, characterized in that, The seismic assessment of the storage grid based on the excitation time history data and each of the additional coupling masses includes: Based on the excitation time history data and each of the additional coupling masses, the target seismic response corresponding to the simulation model of the storage grid is determined; The target seismic response is mapped to the standard grid model corresponding to the storage grid to obtain the stress data corresponding to the standard grid model. Based on the stress data, the seismic resistance of the storage rack is assessed.

11. The method according to claim 10, characterized in that, The step of determining the target seismic response of the simulation model corresponding to the storage grid based on the excitation time history data and each of the additional coupling masses includes: Based on the excitation time history data and the additional coupling mass, the seismic response data of the storage grid under at least one load condition is determined; the load condition includes at least one of full load, half load and no load; The target seismic response is selected from the seismic response data.

12. The method according to claim 11, characterized in that, The step of selecting the target seismic response from the seismic response data includes: The seismic response data with the largest value is taken as the target seismic response.

13. A method for seismic assessment of storage racks, characterized in that, The device includes: The first acquisition module is used to acquire collision offset data for at least one simulation component in the simulation model of the storage grid to be subjected to seismic assessment. A determination module is used to determine the coupling mass parameters generated by the interaction between the cooling medium in the environment where the storage rack is located and the storage rack; The second acquisition module is used to acquire the excitation time history data required for seismic assessment of the storage grid; An evaluation module is used to perform a seismic evaluation of the storage grid based on the coupling mass parameters, the excitation time history data, and each of the collision offset data.

14. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 12.

15. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 12.

16. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 12.

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