Nuclear reactor safety analysis method and device

Abstract

The invention relates to a nuclear reactor safety analysis method and device. The method comprises the following steps: acquiring wave data of a target sea area; according to the wave data, sea area environment data of the target sea area is determined; determining the equipment failure rate of at least one platform equipment on the offshore bearing device under the sea area environment data and the response failure rate of the offshore bearing device under the sea area environment data for the sea wave event; the offshore bearing device is located in a target sea area; the offshore bearing device is used for bearing a nuclear reactor; according to the equipment failure rate and the response failure rate, determining core damage data of the offshore bearing device; the core damage data is used for representing the safety of the nuclear reactor in the offshore carrying device. By adopting the method, the core damage risk of the offshore bearing device in a specific sea area environment can be quantified, the quantitative evaluation provides a scientific basis for the safety management of the offshore bearing device, and the accuracy and rationality of the safety detection of the offshore bearing device are further improved.

Description

Technical Field

[0001] This application relates to the field of nuclear power technology, and in particular to a method and apparatus for nuclear reactor safety analysis. Background Technology

[0002] When nuclear reactors are installed on offshore structures, they serve as a unique type of marine engineering structure, and the safe operation of these reactors is of great significance to environmental protection and energy development. However, ocean waves, as one of the most challenging natural phenomena in the marine environment, pose a direct threat to the stability of these offshore structures and the integrity of the nuclear reactors within them. Therefore, accurately detecting the safety of offshore structures (especially the reactor core) is crucial.

[0003] In traditional technologies, wave risk safety analysis models are usually built based on experience or historical data. These models are then used to conduct safety inspections on marine load-bearing devices in wind and waves, thereby determining the safety of the devices.

[0004] While this method can perform safety inspections on offshore structures, it cannot accurately quantify the specific impact of wind and waves on the offshore structures and their internal structures (such as platform equipment and nuclear reactors) when conducting safety inspections based on wave risk safety analysis models. This particularly limits the accuracy of wave risk safety analysis models in assessing the potential damage risks to nuclear reactors under extreme wave events. Therefore, there is a problem of inaccurate safety inspections. Summary of the Invention

[0005] Therefore, it is necessary to provide a nuclear reactor safety analysis method and apparatus that can quantify the safety of offshore carriers by detecting core damage, thereby making the safety detection of offshore carriers more accurate, in response to the above-mentioned technical problems.

[0006] In a first aspect, this application provides a method for nuclear reactor safety analysis, including:

[0007] Acquire wave data for the target sea area;

[0008] Based on wave data, determine the marine environmental data of the target sea area;

[0009] Determine the equipment failure rate of at least one platform device on the offshore support structure under marine environmental data, and the response failure rate of the offshore support structure to wave events under marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor;

[0010] Based on the equipment failure rate and response failure rate, core damage data of the offshore carrier is determined; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

[0011] In one embodiment, the marine environmental data includes the distribution of sea surface wind field and wave return period; based on the wave data, the marine environmental data of the target sea area is determined, including:

[0012] Based on a mesoscale atmospheric model, meteorological data from wave data are simulated and analyzed to obtain the sea surface wind field in the target sea area; and,

[0013] Based on the wave height, wave period, swell height, and swell period in the wave data, the wave recurrence interval distribution of the target sea area is determined.

[0014] In one embodiment, the wave return period distribution of a target sea area is determined based on the wind wave height, wind wave period, swell height, and swell period from wave data, including:

[0015] Based on wind and wave heights and swell heights, determine the annual frequency curve of significant wave heights within the target sea area; and,

[0016] Determine the wave cycle within the target sea area based on the wind wave cycle and swell cycle;

[0017] Based on the annual frequency curve of significant wave height and wave period, the wave recurrence period distribution of the target sea area is determined.

[0018] In one embodiment, determining the wave return period distribution of the target sea area based on the annual frequency curve of the significant wave height and the wave period includes:

[0019] Determine the extreme wave height of the target sea area based on the annual frequency curve of the significant wave height;

[0020] Based on the extreme wave height and wave period of the target sea area, determine the wave recurrence period distribution of the target sea area.

[0021] In one embodiment, determining the equipment failure rate of at least one platform device on the offshore support structure under marine environmental data, and the response failure rate of the offshore support structure to wave events under marine environmental data, includes:

[0022] Under marine environmental data, the simulated marine bearing device model corresponding to the marine bearing device is run to obtain the simulation equipment failure rate of each simulation device on the simulated marine bearing device model; the simulated marine bearing device model is a simulation model built based on the marine bearing device; the simulation equipment is a simulation model built based on the platform equipment;

[0023] The failure rate of the simulated equipment is taken as the failure rate of the corresponding platform equipment on the offshore bearing device; and...

[0024] When the simulated marine bearing device model detects waves with wave heights exceeding a preset threshold, the simulation failure rate of the marine bearing device model in response to the wave event is taken as the response failure rate of the marine bearing device in response to the wave event.

[0025] In one embodiment, under marine environmental data, a simulated marine bearing device model corresponding to the marine bearing device is run to obtain the simulation equipment failure rate of each simulated device on the simulated marine bearing device model, including:

[0026] For each simulated device in the simulated marine bearing device model, determine the device response degree under different platform states; the platform states include at least one of sway, roll, heave, pitch, and bow roll.

[0027] Based on the response level of each simulation device under different platform conditions, the failure rate of the corresponding simulation device is determined.

[0028] In one embodiment, the failure rate of the simulation equipment on the corresponding platform is determined based on the device response level of each simulation device under different platform states, including:

[0029] Based on the response level of each simulation device under different platform states, the motion state of the simulation device in a preset direction is determined; the preset direction includes at least one of the horizontal, vertical and longitudinal directions.

[0030] Based on the motion state of the simulation equipment in a preset direction, determine the failure rate of the corresponding platform equipment.

[0031] In one embodiment, the method further includes:

[0032] During the operation of the simulated marine bearing device model, a wave event is generated when simulated waves exceeding the preset wave height threshold are detected.

[0033] Obtain the intervention process and corresponding intervention results of the intervention operation of the simulated marine bearing device model in response to the generation of ocean wave events;

[0034] Based on the intervention process and corresponding intervention results, determine the simulation response failure rate of the simulated marine bearing device model in response to wave events.

[0035] In one embodiment, the method for simulating the components of a marine bearing device model includes:

[0036] Based on the platform structure of the offshore bearing device, construct a simulated offshore bearing device model corresponding to the offshore bearing device; the platform structure includes at least one of the following: platform shape, displacement, draft, center of mass position, turning radius, windward area, and current-facing area; the platform shape includes at least one of the following: length, width, and depth of the offshore bearing device.

[0037] Secondly, this application also provides a nuclear reactor safety analysis device, comprising:

[0038] The data acquisition module is used to acquire wave data for the target sea area;

[0039] The environment determination module is used to determine the marine environment data of the target sea area based on wave data;

[0040] The failure determination module is used to determine the failure rate of at least one platform device on the offshore support structure under marine environmental data, and the failure rate of the offshore support structure in response to wave events under marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor;

[0041] The damage determination module is used to determine the core damage data of the offshore carrier based on the equipment failure rate and response failure rate; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

[0042] 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:

[0043] Acquire wave data for the target sea area;

[0044] Based on wave data, determine the marine environmental data of the target sea area;

[0045] Determine the equipment failure rate of at least one platform device on the offshore support structure under marine environmental data, and the response failure rate of the offshore support structure to wave events under marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor;

[0046] Based on the equipment failure rate and response failure rate, core damage data of the offshore carrier is determined; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

[0047] 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:

[0048] Acquire wave data for the target sea area;

[0049] Based on wave data, determine the marine environmental data of the target sea area;

[0050] Determine the equipment failure rate of at least one platform device on the offshore support structure under marine environmental data, and the response failure rate of the offshore support structure to wave events under marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor;

[0051] Based on the equipment failure rate and response failure rate, core damage data of the offshore carrier is determined; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

[0052] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0053] Acquire wave data for the target sea area;

[0054] Based on wave data, determine the marine environmental data of the target sea area;

[0055] Determine the equipment failure rate of at least one platform device on the offshore support structure under marine environmental data, and the response failure rate of the offshore support structure to wave events under marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor;

[0056] Based on the equipment failure rate and response failure rate, core damage data of the offshore carrier is determined; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

[0057] The aforementioned nuclear reactor safety analysis method and apparatus acquire wave data of the target sea area; determine the marine environment data of the target sea area based on the wave data; determine the equipment failure rate of at least one platform device on the offshore support structure under the marine environment data, and the response failure rate of the offshore support structure to wave events under the marine environment data; the offshore support structure is located in the target sea area; and the core damage data of the offshore support structure is determined based on the equipment failure rate and response failure rate; the offshore support structure is used to support the nuclear reactor; and the core damage data is used to characterize the safety of the nuclear reactor in the offshore support structure. This embodiment can determine the marine environment data based on the wave data of the target sea area, and simulate the operation of the offshore support structure under the marine environment data to obtain equipment failure rate and response failure rate that are closer to the real situation. Finally, based on the equipment failure rate and response failure rate, the core damage risk of the offshore support structure in a specific marine environment is quantified. This quantitative assessment provides a scientific basis for the safety management of offshore support structures and further improves the accuracy and rationality of safety detection of offshore support structures. Attached Figure Description

[0058] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0059] Figure 1 This embodiment provides an application environment diagram for a nuclear reactor safety analysis method.

[0060] Figure 2 This is a flowchart illustrating the first nuclear reactor safety analysis method provided in this embodiment;

[0061] Figure 3 This is a flowchart illustrating a step for determining the wave return period distribution in this embodiment.

[0062] Figure 4 This is a flowchart illustrating a failure rate determination step provided in this embodiment;

[0063] Figure 5 This is a flowchart illustrating the steps for determining the failure rate of a simulation device, as provided in this embodiment.

[0064] Figure 6 This is a flowchart illustrating the steps for determining the simulation response failure rate in this embodiment.

[0065] Figure 7 This is a structural block diagram of a nuclear reactor safety analysis device provided in this embodiment;

[0066] Figure 8 This is an internal structural diagram of a computer device provided in this embodiment. Detailed Implementation

[0067] 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.

[0068] The nuclear reactor safety analysis method provided in this application can be applied to, for example... Figure 1In 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 placed on a cloud or other network server. The computer equipment acquires wave data of the target sea area; based on the wave data, it determines the marine environment data of the target sea area; it determines the equipment failure rate of at least one platform device on the offshore support structure under the marine environment data, and the response failure rate of the offshore support structure to wave events under the marine environment data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor; based on the equipment failure rate and response failure rate, it determines the core damage data of the offshore support structure; the core damage data is used to characterize the safety of the nuclear reactor in the offshore support structure. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices. IoT devices can be smart speakers, smart TVs, smart air conditioners, smart vehicle devices, etc. Portable wearable devices can be smartwatches, smart bracelets, head-mounted devices, etc. Server 104 can be implemented using a standalone server or a server cluster consisting of multiple servers.

[0069] In one exemplary embodiment, such as Figure 2 As shown, a method for nuclear reactor safety analysis is provided, which is applied to... Figure 1 Taking a computer device as an example, the explanation includes the following steps S201 to S204. Wherein:

[0070] S201, acquire wave data for the target sea area.

[0071] The target sea area can be understood as the sea area where the offshore support device is located. Wave data can include the year, month, day, hour, longitude, latitude, wind and wave direction, wind and wave height, wind and wave period, swell direction, swell height, swell period, and meteorological data of the waves occurring in the target sea area. Among them, meteorological data includes temperature, humidity, air pressure, wind speed, and other data when the waves occur in the target sea area.

[0072] Specifically, the target sea area is divided into grid points based on latitude and longitude to obtain a grid-shaped target sea area; for each grid point in the grid-shaped target sea area, wave data of the ocean waves occurring within the grid point is obtained.

[0073] For example, wave data for the target sea area can be obtained from collected nearshore data, historical wave observation data, historical wave data analysis data, historical reanalysis wind field data, satellite wave measurement data, water depth and shoreline data, as well as the comprehensive wave data from the National Marine Science Data Center. This embodiment does not limit the specific method of obtaining wave data for the target sea area.

[0074] S202, Based on wave data, determine the marine environmental data of the target sea area.

[0075] Marine environmental data can be understood as data used to simulate the marine environmental conditions of a target sea area. This data includes the distribution of sea surface wind fields and wave return periods. For example, when the simulated sea area corresponding to the simulated marine environmental data reaches a preset duration, simulated waves of a preset wave height will occur in the simulated sea area.

[0076] In one alternative embodiment, wave data is input into a pre-trained marine environment generation model, and the marine environment generation model is used to parse the wave data to obtain marine environment data of the target sea area.

[0077] In another alternative embodiment, based on a mesoscale atmospheric model, meteorological data in the wave data are simulated and detected to obtain the sea surface wind field of the target sea area; and, based on the wind wave height, wind wave period, swell height and swell period in the wave data, the wave return period distribution of the target sea area is determined.

[0078] Among them, the mesoscale atmospheric model can be understood as a mathematical model used to describe weather and meteorology within a preset range (such as several kilometers to several hundred kilometers).

[0079] For example, the method to determine the sea surface wind field of the target sea area by simulating and detecting meteorological data in wave data based on a mesoscale atmospheric model can be as follows: input the meteorological data in wave data into the mesoscale atmospheric model, and the mesoscale atmospheric model simulates and detects the meteorological data in wave data to construct the sea surface wind field of the target sea area.

[0080] For example, the wave return period distribution of a target sea area can be determined by inputting the wave height, wave period, swell height, and swell period into a pre-trained return period distribution determination model. The return period distribution determination model determines the wave return period distribution of the target sea area based on the wave height, wave period, swell height, and swell period in the wave data.

[0081] S203, determine the equipment failure rate of at least one platform device on the offshore support device under marine environmental data, and the response failure rate of the offshore support device to wave events under marine environmental data.

[0082] The offshore support structure is located in the target sea area. This offshore support structure can be a marine nuclear platform, used to support a nuclear reactor. Equipment failure rate can be understood as measuring the probability of platform equipment failure in the event of waves in the target sea area. A wave event can be understood as an event in the target sea area where waves of a predetermined height occur. Response failure rate can be understood as measuring the probability of the offshore support structure failing (e.g., being unable to cope with wave events) in the event of waves in the target sea area.

[0083] In some embodiments, a simulated sea area is determined based on marine environmental data; a simulated marine bearing device is placed in the simulated sea area; the simulated sea area and the simulated marine bearing device are run, and the failure rate of at least one simulated device in the simulated marine bearing device is determined under the marine environmental data, and the failure rate of the simulated device is taken as the failure rate of the platform device corresponding to the simulated device; in the event of a wave event in the simulated sea area, the simulated marine bearing device responds to the wave event and performs an intervention operation for the wave event; during the intervention operation of the simulated marine bearing device, the failure rate of the simulated marine bearing device in response to the wave event under the marine environmental data is obtained.

[0084] S204, determine the core damage data of the offshore carrier based on the equipment failure rate and response failure rate.

[0085] Core damage data quantifies core damage and characterizes the safety of nuclear reactors in offshore installations. It's important to note that core damage is one of the most serious safety incidents in offshore installations, directly threatening their safety. When core damage occurs, radioactive fission products within the nuclear fuel rods are released and may enter the reactor and containment vessel. If these two barriers also fail, radioactive materials will be released into the environment, severely impacting the marine environment. Therefore, the probability and severity of core damage are crucial indicators for assessing the safety of offshore installations.

[0086] In some embodiments, the failure rate and response failure rate of the equipment are quantitatively analyzed using a preset method (e.g., by a method) to obtain core damage data of the offshore carrier device. The preset method may include, but is not limited to, software analysis or Probabilistic Safety Assessment (PSA), and the specific implementation method is not limited in this application.

[0087] The aforementioned nuclear reactor safety analysis method and apparatus acquire wave data of a target sea area; determine marine environmental data of the target sea area based on the wave data; determine the equipment failure rate of at least one platform device on the offshore support structure under the marine environmental data, and the response failure rate of the offshore support structure to wave events under the marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor; and the core damage data of the offshore support structure is determined based on the equipment failure rate and response failure rate; the core damage data is used to characterize the safety of the nuclear reactor on the offshore support structure. This embodiment can determine marine environmental data based on wave data of the target sea area, and simulate the operation of the offshore support structure under the marine environmental data to obtain equipment failure rate and response failure rate that are closer to the real situation. Finally, based on the equipment failure rate and response failure rate, the core damage risk of the offshore support structure in a specific marine environment is quantified. This quantitative assessment provides a scientific basis for the safety management of offshore support structures and further improves the accuracy and rationality of safety detection of offshore support structures.

[0088] Figure 3 This is a flowchart illustrating the steps for determining the wave return period distribution in one embodiment. Step S202 in the above embodiment, which determines the wave return period distribution of the target sea area based on the wind wave height, wind wave period, swell height, and swell period in the wave data, has been refined. This embodiment provides an optional method for determining the wave return period distribution, including the following steps:

[0089] S301, based on wind and wave height and swell height, determines the annual frequency curve of effective wave height in the target sea area.

[0090] Significant wave height can be understood as the average wave height of the preset percentage (e.g., one-third) of the highest wave heights in wave data. Significant wave height reflects the wave height values ​​where energy is concentrated and has a significant impact, used to characterize the severity of sea conditions in the target sea area. The annual frequency curve can be understood as a curve representing the frequency of occurrence of significant wave heights in historical wave data obtained from the target sea area.

[0091] In some embodiments, the time and frequency of occurrence of significant wave height within the target sea area are determined based on wind wave height and swell height; based on the time and frequency of occurrence of significant wave height within the target sea area, an annual frequency curve of significant wave height within the target sea area is determined using a preset curve fitting method. The preset curve fitting method may include, but is not limited to, Poisson distribution, Poisson-III type distribution, Weibull distribution, and Günbel distribution; the specific curve fitting method is not limited in this application.

[0092] S302 determines the wave cycle within the target sea area based on the wind wave cycle and swell cycle.

[0093] The wave period can be understood as the time period required for two consecutive waves to pass through a fixed point. The wave period reflects the frequency characteristics of wave propagation and is a key indicator for measuring wave energy and motion patterns.

[0094] In some embodiments, the wave period in the target sea area is determined based on the wind wave period and the swell period using a preset period fitting method. The preset period fitting method may include, but is not limited to, Poisson distribution, Poisson-III distribution, Weibull distribution, and Günber distribution; the specific period fitting method is not limited in this application.

[0095] It should be noted that in this embodiment, the steps of determining the annual frequency curve in S301 and determining the wave period in S302 can be executed simultaneously; or the step of determining the annual frequency curve in S301 can be executed first, followed by the step of determining the wave period in S302; or the step of determining the wave period in S302 can be executed first, followed by the step of determining the annual frequency curve in S301. This application does not limit this.

[0096] S303, based on the annual frequency curve of significant wave height and wave period, determine the wave return period distribution of the target sea area.

[0097] The wave return period distribution can be understood as a measure of the frequency or probability of a specific wave condition (such as wave height, period, etc.) occurring in long-term observations.

[0098] In one optional embodiment, the annual frequency curve of significant wave height and wave period are fused to determine the occurrence time of significant wave height within the wave period; the wave period marked with the occurrence time of significant wave height is used as the wave recurrence period distribution of the target sea area.

[0099] In another alternative embodiment, the extreme wave height of the target sea area is determined based on the annual frequency curve of the effective wave height; the wave return period distribution of the target sea area is determined based on the extreme wave height and wave period of the target sea area.

[0100] For example, from the annual frequency curve of significant wave height, the extreme wave heights of the sea in the target sea area within a preset time period (such as 2 years, 5 years, 10 years, and 100 years) are found; based on the frequency distribution results of the extreme wave heights of the sea in the corresponding sea wave period of the target sea area, the relationship between the average wave period and the cumulative distribution frequency is determined; based on the relationship between the average wave period and the cumulative distribution frequency, the wave recurrence period distribution of the target sea area is determined.

[0101] It should be noted that, in this embodiment, the annual extreme value sequence of waves at each grid point can be statistically analyzed based on historical wave data acquired within a historical period. Furthermore, based on historical wave data acquired within a historical period, the annual extreme value sequence of waves in the target sea area within the wave return period can be determined using the Poisson distribution extreme value extrapolation method. The annual extreme value sequence of waves and the wave return period distribution are important parameters reflecting the hazard of waves, used to indicate the frequency of extreme wave occurrences in the target sea area.

[0102] It should be noted that this embodiment can also fit the annual extreme value sequence and the wave return period distribution, and input ship information for hydrodynamic frequency domain calculation analysis, thereby obtaining the relationship between the motion response of each degree of freedom of the ship's center of gravity and the annual exceedance frequency. For example, under the dangerous sea state (preset wave height) of once-in-a-decade (return period) in the South China Sea, transverse waves (90° wave direction) will bring a roll angle of 19°; under the dangerous sea state of once-in-a-century in the South China Sea, transverse waves (90° wave direction) will bring a maximum roll angle of 27°.

[0103] In the above embodiments, by comprehensively considering the wind wave height, swell height, and corresponding period, the actual wave conditions of the target sea area can be more comprehensively reflected, avoiding deviations in the determined annual frequency curve and wave period caused by a single factor. Based on the annual frequency curve and wave period of the effective wave height, wave parameters under different wave return periods can be determined, effectively reflecting the probability of extreme wave events, further ensuring the accuracy and rationality of the wave return period distribution determination, and providing scientific basis and data support for the subsequent determination of core damage data and safety of offshore bearing devices.

[0104] Figure 4 This is a flowchart illustrating the failure rate determination steps in one embodiment. The above embodiment refines step S203, which determines the equipment failure rate of at least one platform device on the offshore support structure under marine environmental data, and the response failure rate of the offshore support structure to wave events under marine environmental data. This embodiment provides an optional method for determining the failure rate, including the following steps:

[0105] S401, under marine environmental data, run the simulated marine bearing device model corresponding to the marine bearing device to obtain the simulation equipment failure rate of each simulation device on the simulated marine bearing device model.

[0106] Among them, the simulated marine bearing device model is a simulation model built based on the marine bearing device; the simulated equipment is a simulation model built based on the platform equipment; the failure rate of the simulated equipment can be understood as the probability that the simulated equipment will fail due to the influence of sea waves during the operation of the simulated marine bearing device model.

[0107] Platform equipment can be understood as equipment that supports safety mitigation functions and operator actions to maintain a safe shutdown after a wave event. It should be noted that platform equipment may be susceptible to wave impacts, and failure of platform equipment can trigger warnings. The methods for determining platform equipment failure vary depending on the type of equipment. Platform equipment can include at least one of critical structures, critical system equipment, and critical component (SSC). For example, in offshore bearing systems, wave-induced swaying may cause pipe fatigue fractures in fire-fighting equipment and main feedwater equipment. However, a fire-fighting equipment fracture will not trigger a wave event and is not used for accident mitigation after a wave event. A main feedwater equipment pipe rupture, on the other hand, may cause a loss-of-coolant accident, leading to loss of core cooling and overheating shutdown. Therefore, for these two types of equipment, the fire-fighting equipment is not a platform equipment requiring evaluation; the main feedwater equipment is a wave-triggered event requiring evaluation.

[0108] It should be noted that the method for determining the simulated marine bearing device model can be as follows: based on the platform structure of the marine bearing device, a corresponding simulated marine bearing device model is constructed. That is, the platform structure and mooring parameters of the marine bearing device are input into the simulation model construction software to obtain the simulated marine bearing device model. The platform structure includes at least one of the following: platform shape, displacement, draft, center of mass position, turning radius, windward area, and current-facing area. The platform shape includes at least one of the following: length, width, and depth of the marine bearing device. Mooring parameters can be understood as parameters used to calculate the ship's response to a certain wave load. Different mooring materials and mooring methods will result in different roll and pitch angles under the same wave influence. Mooring parameters can include at least one of the following: mooring method, mooring material, and initial mooring state settings.

[0109] In one optional embodiment, under marine environmental data, a simulated marine bearing device model corresponding to the marine bearing device is run to directly obtain the simulation equipment failure rate of each simulation device on the simulated marine bearing device model.

[0110] In another optional embodiment, a simulated sea area matching the target sea area is set based on marine environmental data; in the simulated sea area, a simulated marine bearing device model corresponding to the marine bearing device is run; the simulated marine bearing device model is obtained in at least one preset degree of freedom; hydrodynamic analysis is performed on the simulated marine bearing device model using finite element analysis software to determine the relationship between the device response of each simulated device on the marine bearing device under the preset degree of freedom and the frequency of waves occurring in the simulated sea area; for each simulated device, based on the relationship between the device response (e.g., device response or device non-response) under the preset degree of freedom and the frequency of waves occurring in the simulated sea area, the failure rate of the simulated device under the condition of waves occurring in the simulated sea area is determined.

[0111] S402, the failure rate of the simulation equipment is taken as the failure rate of the platform equipment corresponding to the simulation equipment on the marine bearing device.

[0112] In some embodiments, for each simulation device, the simulation device failure rate is determined; the simulation device failure rate of the simulation device is taken as the failure rate of the platform equipment corresponding to the simulation device on the marine bearing device.

[0113] S403, when the simulated marine bearing device model detects waves with wave heights exceeding a preset threshold, the simulation response failure rate of the simulated marine bearing device model to the wave event is taken as the response failure rate of the marine bearing device to the wave event.

[0114] The simulation response failure rate can be understood as the probability of failure per unit time from the start of normal operation of the simulated marine support device model. A wave event can be understood as an event triggered when the marine support device encounters waves in the target sea area with wave heights exceeding a preset threshold.

[0115] In some embodiments, when the simulated marine bearing device model detects the occurrence of waves with wave heights exceeding a preset threshold, the simulation response failure rate of the simulated marine bearing device model to the wave event is determined; the simulation response failure rate of the simulated marine bearing device model to the wave event is taken as the response failure rate of the marine bearing device to the wave event.

[0116] It should be noted that in this embodiment, the steps of determining the device failure rate (S401-S402) and determining the response failure rate (S403) can be executed simultaneously; or the steps of determining the device failure rate (S401-S402) can be executed first, followed by the steps of determining the response failure rate (S403); or the steps of determining the response failure rate (S403) can be executed first, followed by the steps of determining the device failure rate (S401-S402). This application does not limit this.

[0117] In the above embodiments, extreme wave events are simulated using marine environmental data, eliminating the need to expose real offshore bearing devices to hazardous environments. This allows for rapid reproduction of different sea conditions, significantly reducing testing risks and saving testing costs. By running a simulated offshore bearing device model corresponding to the marine environmental data, the failure status of each platform device under wave conditions and the response of the offshore bearing device to wave events can be tracked, revealing the physical mechanisms of device failure and response failure. This further improves the accuracy of core damage data and safety detection for offshore bearing devices.

[0118] Figure 5 This is a flowchart illustrating the steps for determining the failure rate of simulated equipment in one embodiment. Step S401 in the above embodiment, which involves running a simulated marine bearing device model corresponding to the marine bearing device under marine environmental data to obtain the failure rate of each simulated device on the simulated marine bearing device model, has been refined. This embodiment provides an optional method for determining the failure rate of simulated equipment, including the following steps:

[0119] S501 determines the equipment response level of each simulated device in the simulated marine bearing device model under different platform states.

[0120] The platform state includes at least one of sway, heave, roll, pitch, and bow roll; the device responsiveness can be understood as the degree of matching or change capability of the simulation device's output state or behavior relative to the input signal after receiving the input signal. Device responsiveness can include complete device response, incomplete device response, and no device response.

[0121] In some embodiments, finite element analysis or fatigue stress analysis is performed on each simulated device in the simulated marine bearing device model to determine the device response degree of the simulated device under different platform conditions.

[0122] For example, the stress on the simulation equipment structure may be affected under different platform conditions, leading to equipment failure. Examples include anchorage deformation, fracture, and fatigue failure of the simulation equipment and its components; excessive deflection of the simulation equipment's shaft causing jamming; insufficient lubrication due to changes in lubricating oil level; and inability of moving parts to operate due to changes in force. This embodiment does not limit these possibilities.

[0123] S502, determine the failure rate of the corresponding simulation equipment based on the equipment response level of each simulation equipment under different platform states.

[0124] In one optional embodiment, for each simulation device, the device response level is determined as the number of failed responses and the total number of responses based on the device response level of the simulation device under different platform states; the ratio between the number of responses and the total number of responses is taken as the simulation device failure rate of the simulation device.

[0125] In another optional embodiment, the motion state of the simulation device in a preset direction is determined based on the device response level of each simulation device under different platform states; the failure rate of the corresponding simulation device is determined based on the motion state of the simulation device in the preset direction. The preset direction includes at least one of horizontal, vertical, and transverse directions.

[0126] For example, for each simulation device, the device position in the simulation marine bearing device model is converted into a motion state (such as acceleration state) in a preset direction with the ground as the reference frame; based on the motion state of the simulation device in the preset direction, the simulation device failure rate of the corresponding simulation device is determined by using a pre-trained simulation device failure rate determination model.

[0127] For example, the method of determining the motion state of the simulation equipment in a preset direction with the ground as the reference frame based on the equipment position of the simulation equipment in the simulated marine bearing device model may include: determining the motion state of the simulation equipment in the preset direction by the following formula (1-1).

[0128] (1-1)

[0129] in, This indicates the acceleration state in the lateral direction; Indicates the acceleration state in the longitudinal direction; Indicates the vertical acceleration state; α x α represents the deviation term in the lateral direction. y α represents the deviation term in the longitudinal direction. z This represents the vertical deviation term; β x Indicates the preset weights in the horizontal direction; β y This indicates the preset weights in the horizontal direction; This represents the vertical distance from any stress calculation point in the simulation equipment to the roll rotation axis or center of gravity. This represents the lateral distance from any stress calculation point in the simulation equipment to the mid-section or center of rotation. L represents the longitudinal distance from any stress calculation point in the simulation equipment to the tail vertical line; L represents the length of the marine bearing device. Indicates the preset maximum roll angle; This represents the preset maximum pitch angle.

[0130] It should be noted that, in addition to the method described above that determines the failure rate of the simulation equipment based on its response level, the method for determining the failure rate of the simulation equipment in this embodiment can also be based on the seakeeping criterion of the simulation equipment. The seakeeping criterion refers to the limit indicators of whether personnel, the hull, or systems (equipment) on a ship can operate and complete their tasks under the influence of wave disturbances on a marine bearing device. The seakeeping criterion mainly includes two parts: criterion elements and corresponding criterion values. The most significant and influential factor on a ship's seakeeping is the seakeeping criterion element, and the limit index value that the seakeeping criterion element can reach is its corresponding criterion value. Seakeeping criteria are divided into two categories: one is about criteria that cause a decline in the performance of ship subsystems, and the other is about criteria about the limit level of motion that a subsystem can operate at. The seakeeping criterion of platform equipment consists of multiple individual indicators, each with a corresponding criterion value. In practical applications, the seakeeping standards of platform equipment are related to the technical skills of the personnel on the offshore support structure, the functions of the system (equipment), and the mission of the offshore support structure. Different missions of offshore support structures will have different requirements for the effective operation of the system (equipment), and the crew's tolerance for the ship's movement on waves will also vary greatly. Therefore, it is difficult to determine the seakeeping standards of platform equipment based on the seakeeping standard value of a single item.

[0131] In the above embodiments, a simulated offshore bearing device model corresponding to the offshore bearing device is run. The device response level of each platform device is tracked under wave conditions through the simulated offshore bearing device model, revealing the physical mechanism of platform response failure, thereby accurately determining the simulation equipment failure rate and further improving the accuracy of core damage data and safety detection of the offshore bearing device.

[0132] Figure 6 This is a flowchart illustrating the steps for determining the simulation response failure rate in one embodiment. This embodiment provides an optional method for determining the simulation response failure rate, including the following steps:

[0133] S601, during the operation of the simulated marine bearing device model, if simulated waves exceeding the preset wave height threshold are detected, a wave event is generated.

[0134] In some embodiments, during the operation of the simulated marine bearing device model, if the simulated marine bearing device model detects simulated ocean waves that exceed a preset wave height threshold, it outputs a wave warning and generates a wave event.

[0135] It should be noted that different types of marine bearing devices in this embodiment may have different wave event triggering conditions. For example, the triggering condition for a wave event in this embodiment may also include the simulated marine bearing device model detecting that the roll angle of the simulated marine bearing device model exceeds the reference tilt angle. Therefore, in this embodiment, the triggering condition for a wave event may only include the simulated marine bearing device model detecting the presence of simulated waves exceeding a preset wave height threshold; it may also only include the simulated marine bearing device model detecting that the roll angle of the simulated marine bearing device model exceeds the reference tilt angle; or it may also include the simulated marine bearing device model detecting the presence of simulated waves exceeding the preset wave height threshold and detecting that the roll angle of the simulated marine bearing device model exceeds the reference tilt angle.

[0136] S602, obtain the intervention process and corresponding intervention results of the intervention operation of the simulated marine bearing device model in response to the generation of wave events.

[0137] Intervention operations can be understood as specific actions or measures taken by the simulated offshore support structure model after detecting a wave event, aimed at addressing the impact of the wave event on the platform. The intervention process can be understood as the entire process from the detection of a wave event to the execution of the intervention operation and the completion of corresponding control or protection measures. The intervention result can be understood as the actual effect on the state of the simulated offshore support structure model, the impact of the wave event, and the performance of the simulated offshore support structure model after the intervention operation is executed.

[0138] In some embodiments, after generating a wave event, the simulated marine bearing device model responds to the wave event and generates an intervention operation for the wave event; and obtains the intervention process and corresponding intervention result to which the intervention operation belongs.

[0139] For example, taking any reactor type as an example, the intervention operation may include: automatically or manually shutting down the reactor when the platform roll angle exceeds the reference tilt angle. Shutting down the reactor will cause the turbine to trip, the reactor core to lose main feedwater, and the pressurizer safety valve to open. If the pressurizer safety valve cannot reseat, it will lead to a small breach loss-of-water accident. The residual heat of the reactor core is discharged through the residual heat removal system. If the residual heat removal system fails, the reactor core needs to be cooled by charging and discharging. Since the high-pressure and high-temperature coolant in the primary loop is discharged into the containment through the primary loop, the temperature and pressure of the containment rise. The heat of the containment is discharged through the sump or the sprinkler system, thereby completing the intervention operation for the wave event.

[0140] S603, based on the intervention process to which the intervention operation belongs and the corresponding intervention results, determine the simulation response failure rate of the simulated marine bearing device model for wave events.

[0141] In some embodiments, a wave event tree is constructed based on the intervention process to which the intervention operation belongs and the corresponding intervention result; based on the wave event tree, the simulation response failure rate of the simulated marine bearing device model in response to wave events is determined. The event tree headers of the wave event tree are arranged in chronological order.

[0142] In the above embodiments, when simulated waves exceeding a preset wave height threshold are detected, the intervention process and corresponding intervention results of the simulated offshore bearing device model in response to the wave event are obtained. Through simulation analysis, the weak links of the offshore bearing device under extreme sea conditions can be identified, helping to understand the response mechanism of the offshore bearing device under extreme sea conditions. Based on the intervention process and corresponding intervention results, the simulation response failure rate of the simulated offshore bearing device model to the wave event is determined, the response failure rate of the offshore bearing device to the wave event is quantified, and the reliability of the offshore bearing device in the wave event is assessed. This improves the accuracy and rationality of determining the response failure rate of the offshore bearing device to the wave event, further improves the accuracy of determining the core damage data of the offshore bearing device, and the rationality of the safety inspection of the offshore bearing device.

[0143] 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.

[0144] Based on the same inventive concept, this application also provides a nuclear reactor safety analysis apparatus for implementing the nuclear reactor safety analysis method described above. The solution provided by this apparatus is similar to the solution described in the above method; therefore, the specific limitations in one or more embodiments of the nuclear reactor safety analysis apparatus provided below can be found in the limitations of the nuclear reactor safety analysis method described above, and will not be repeated here.

[0145] In an exemplary embodiment, Figure 7 As shown, a nuclear reactor safety analysis device is provided, comprising: a data acquisition module 10, an environment determination module 11, a failure determination module 12, and a damage determination module 13, wherein:

[0146] Data acquisition module 10 is used to acquire wave data of the target sea area;

[0147] The environment determination module 11 is used to determine the marine environment data of the target sea area based on the wave data;

[0148] The failure determination module 12 is used to determine the failure rate of at least one platform device on the offshore support device under marine environmental data, and the failure rate of the offshore support device in response to wave events under marine environmental data; the offshore support device is located in the target sea area; the offshore support device is used to support a nuclear reactor;

[0149] The damage determination module 13 is used to determine the core damage data of the offshore carrier based on the equipment failure rate and response failure rate; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

[0150] In some embodiments, the environment determination module 11 is further configured to simulate and detect meteorological data in wave data based on a mesoscale atmospheric model to obtain the sea surface wind field of the target sea area; and to determine the wave return period distribution of the target sea area based on the wind wave height, wind wave period, swell height and swell period in the wave data.

[0151] In some embodiments, the environment determination module 11 is further configured to determine the annual frequency curve of the effective wave height in the target sea area based on the wind wave height and swell height; and to determine the wave period in the target sea area based on the wind wave period and swell period; and to determine the wave recurrence period distribution of the target sea area based on the annual frequency curve of the effective wave height and the wave period.

[0152] In some embodiments, the environment determination module 11 is further configured to determine the extreme wave height of the target sea area based on the annual frequency curve of the effective wave height; and to determine the wave recurrence period distribution of the target sea area based on the extreme wave height and wave period of the target sea area.

[0153] In some embodiments, the failure determination module 12 is further configured to run a simulated marine bearing device model corresponding to the marine bearing device under marine environmental data, and obtain the simulation failure rate of each simulation device on the simulated marine bearing device model; the simulated marine bearing device model is a simulation model built based on the marine bearing device; the simulation device is a simulation model built based on the platform device; the simulation failure rate of the simulation device is used as the device failure rate of the platform device corresponding to the simulation device on the marine bearing device; and, when the simulated marine bearing device model detects the occurrence of waves with wave heights exceeding a preset threshold, the simulation response failure rate of the simulated marine bearing device model to the wave event is used as the response failure rate of the marine bearing device to the wave event.

[0154] In some embodiments, the failure determination module 12 is further configured to determine the equipment response degree of each simulated device in the simulated marine bearing device model under different platform states; the platform states include at least one of sway, roll, heave, pitch, pitch and yaw; and determine the simulation equipment failure rate of the corresponding simulated device based on the equipment response degree of each simulated device under different platform states.

[0155] In some embodiments, the failure determination module 12 is further configured to determine the motion state of the simulation device in a preset direction based on the device response degree of each simulation device under different platform states; the preset direction includes at least one of horizontal, vertical and longitudinal directions; and determine the simulation device failure rate of the corresponding simulation device based on the motion state of the simulation device in the preset direction.

[0156] In some embodiments, the failure determination module 12 is further configured to generate a wave event when a simulated wave exceeding a preset wave height threshold is detected during the operation of the simulated marine bearing device model; obtain the intervention process and corresponding intervention result of the intervention operation generated by the simulated marine bearing device model in response to the wave event; and determine the simulation response failure rate of the simulated marine bearing device model to the wave event based on the intervention process and corresponding intervention result of the intervention operation.

[0157] In some embodiments, the failure determination module 12 is further configured to construct a simulated marine bearing device model corresponding to the marine bearing device based on the platform structure of the marine bearing device; the platform structure includes at least one of platform shape, displacement, draft, center of mass position, turning radius, windward area and current-facing area; the platform shape includes at least one of the marine bearing device's length, width and depth.

[0158] Each module in the aforementioned nuclear reactor safety analysis device 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.

[0159] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 8As shown, this computer device includes a processor, memory, input / output interfaces (I / O), 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 operating system and computer programs stored in the non-volatile storage media. The database stores data. The I / O interfaces are used for exchanging information between the processor and external devices. The communication interface is used for communicating with external terminals via a network. When the computer program is executed by the processor, it implements a nuclear reactor safety analysis method.

[0160] Those skilled in the art will understand that Figure 8 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.

[0161] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.

[0162] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the above method embodiments.

[0163] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.

[0164] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0165] Those skilled in the art will understand that all or part of the processes in 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. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile 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, etc., and are not limited to these.

[0166] 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 specification.

[0167] 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 for nuclear reactor safety analysis, used to determine core damage of the nuclear reactor, characterized in that, The method includes: Acquire wave data for the target sea area; Based on the wave data, determine the marine environmental data of the target sea area; Determine the equipment failure rate of at least one platform device on the offshore support structure under the marine environmental data, and the response failure rate of the offshore support structure to wave events under the marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor; Based on the equipment failure rate and the response failure rate, the core damage data of the offshore carrier is determined; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

2. The method according to claim 1, characterized in that, The marine environmental data includes the distribution of sea surface wind field and wave return period; determining the marine environmental data of the target sea area based on the wave data includes: Based on a mesoscale atmospheric model, meteorological data from the wave data are simulated and analyzed to obtain the sea surface wind field of the target sea area; and, Based on the wave data, including wave height, wave period, swell height, and swell period, the wave recurrence interval distribution of the target sea area is determined.

3. The method according to claim 2, characterized in that, The step of determining the wave return period distribution of the target sea area based on the wave height, wave period, swell height, and swell period in the wave data includes: Based on the wind wave height and the swell height, determine the annual frequency curve of the effective wave height within the target sea area; and, The wave cycle within the target sea area is determined based on the wind wave cycle and the swell cycle. Based on the annual frequency curve of the effective wave height and the wave period, the wave recurrence period distribution of the target sea area is determined.

4. The method according to claim 3, characterized in that, The step of determining the wave return period distribution of the target sea area based on the annual frequency curve of the significant wave height and the wave period includes: The extreme wave height of the target sea area is determined based on the annual frequency curve of the effective wave height. Based on the extreme wave height and wave period of the target sea area, the wave recurrence period distribution of the target sea area is determined.

5. The method according to claim 1, characterized in that, The determination of the equipment failure rate of at least one platform device on the offshore support structure under the marine environmental data, and the response failure rate of the offshore support structure to wave events under the marine environmental data, includes: Under marine environmental data, the simulated marine bearing device model corresponding to the marine bearing device is run to obtain the simulation equipment failure rate of each simulated device on the simulated marine bearing device model; the simulated marine bearing device model is a simulation model built based on the marine bearing device; the simulated device is a simulation model built based on the platform equipment; The simulation failure rate of the simulation equipment is taken as the failure rate of the platform equipment corresponding to the simulation equipment on the offshore bearing device; and... When the simulated marine bearing device model detects waves with wave heights exceeding a preset threshold, the simulation response failure rate of the simulated marine bearing device model to the wave event is taken as the response failure rate of the marine bearing device to the wave event.

6. The method according to claim 5, characterized in that, Under marine environmental data, the simulation model of the marine bearing device corresponding to the marine bearing device is run to obtain the simulation equipment failure rate of each simulation device on the simulation marine bearing device model, including: For each simulated device in the simulated marine bearing device model, determine the device response degree of the simulated device under different platform states; the platform states include at least one of sway, roll, heave, pitch, and bow roll; Based on the device response level of each simulation device under different platform states, the failure rate of the corresponding simulation device is determined.

7. The method according to claim 6, characterized in that, The step of determining the simulation device failure rate of the corresponding platform device based on the device response level of each simulation device under different platform states includes: Based on the device response level of each simulation device under different platform states, the motion state of the simulation device in a preset direction is determined; the preset direction includes at least one of horizontal, vertical and longitudinal directions; Based on the motion state of the simulation device in a preset direction, the failure rate of the corresponding simulation device is determined.

8. The method according to claim 5, characterized in that, The method further includes: During the operation of the simulated marine bearing device model, if simulated ocean waves exceeding a preset wave height threshold are detected, an ocean wave event is generated. Obtain the intervention process and corresponding intervention results of the intervention operation of the simulated marine bearing device model in response to the wave event; Based on the intervention process and corresponding intervention results, the simulation response failure rate of the simulated marine bearing device model in response to the wave event is determined.

9. The method according to claim 5, characterized in that, The component method for simulating the marine bearing device model includes: Based on the platform structure of the marine bearing device, a simulated marine bearing device model corresponding to the marine bearing device is constructed; the platform structure includes at least one of the following: platform shape, displacement, draft, center of mass position, turning radius, windward area, and current-facing area; the platform shape includes at least one of the following: length, width, and depth of the marine bearing device.

10. A nuclear reactor safety analysis device, characterized in that, The device includes: The data acquisition module is used to acquire wave data for the target sea area; An environment determination module is used to determine the marine environment data of the target sea area based on the wave data. A failure determination module is used to determine the equipment failure rate of at least one platform device on the offshore support structure under the marine environmental data, and the response failure rate of the offshore support structure to wave events under the marine environmental data; the offshore support structure is located in the target sea area; the offshore support structure is used to support a nuclear reactor; The damage determination module is used to determine the core damage data of the offshore carrier based on the equipment failure rate and the response failure rate; the core damage data is used to characterize the safety of the core reactor of the offshore carrier.

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