CN115905372B - Earthquake-resistant structure analysis method and system for nuclear power distribution cabinet - Google Patents
Earthquake-resistant structure analysis method and system for nuclear power distribution cabinet Download PDFInfo
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Abstract
The invention provides an earthquake-resistant structure analysis method and system for a nuclear power distribution cabinet, which are applied to the technical field of data processing, wherein the method comprises the following steps: by acquiring part material parameters, part geometry parameters, part assembly position parameters, and part assembly pose parameters. And carrying out mechanical property analysis on the plurality of parts to generate a first mechanical property analysis result, and obtaining part assembly structure parameters. And carrying out allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result. And acquiring an earthquake grade gradient meter and a power distribution cabinet vibration acceleration gradient meter. And carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table, and generating a load threshold gradient table. And inputting the second mechanical property analysis result into a load threshold gradient table to generate an earthquake-resistant structure analysis result. The technical problems of low analysis efficiency and high analysis cost in the analysis of the earthquake-resistant structure of the nuclear power distribution cabinet in the prior art are solved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an earthquake-resistant structure analysis method and system for a nuclear power distribution cabinet.
Background
The earthquake-resistant structure analysis is the basis of stable operation of the equipment when suffering from natural disasters, and earthquake-resistant defects in the structure can be more clearly reflected through the earthquake-resistant structure analysis, so that the equipment is convenient for the staff to conduct optimization treatment in a targeted manner. However, in the prior art, the earthquake-resistant structure analysis is mostly performed by adopting a sample analysis and a modeling analysis, so that the analysis efficiency of the sample analysis is low, and the modeling analysis has higher modeling cost due to the need of constructing a finer model, thereby causing the problem of high earthquake-resistant analysis cost.
Therefore, in the prior art, the analysis of the earthquake-resistant structure of the nuclear power distribution cabinet has the technical problems of low analysis efficiency and high analysis cost.
Disclosure of Invention
The application provides an earthquake-resistant structure analysis method and system for a nuclear power distribution cabinet, which are used for solving the technical problems of low analysis efficiency and high analysis cost in the earthquake-resistant structure analysis of the nuclear power distribution cabinet in the prior art.
In view of the above problems, the application provides an earthquake-resistant structure analysis method and system for a nuclear power distribution cabinet.
In a first aspect of the present application, there is provided a method for analyzing an earthquake-resistant structure of a nuclear power distribution cabinet, the method comprising: performing part level splitting on a nuclear power distribution cabinet to generate a plurality of piece basic information, wherein the piece basic information comprises a piece material parameter, a piece geometric parameter, a piece assembling position parameter and a piece assembling posture parameter; carrying out mechanical property analysis on a plurality of parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result; acquiring a part assembly structure parameter according to the part assembly position parameter and the part assembly posture parameter; performing allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result; acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table; carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table to generate a load threshold gradient table; and inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result.
In a second aspect of the present application, there is provided an earthquake-resistant structural analysis system for a nuclear power distribution cabinet, the system comprising: the parameter acquisition module is used for carrying out part level splitting on the nuclear power distribution cabinet to generate a plurality of part basic information, wherein the plurality of part basic information comprises part material parameters, part geometric parameters, part assembly position parameters and part assembly posture parameters; the first mechanical performance analysis module is used for carrying out mechanical performance analysis on the parts according to the part material parameters and the part geometric parameters to generate a first mechanical performance analysis result; the assembly structure parameter acquisition module is used for acquiring the assembly structure parameters of the parts according to the assembly position parameters of the parts and the assembly posture parameters of the parts; the second mechanical property analysis module is used for carrying out allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result; the earthquake response spectrum acquisition module is used for acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table; the load threshold gradient table acquisition module is used for carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table to generate a load threshold gradient table; and the earthquake-resistant structure analysis module is used for inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
the method provided by the embodiment of the application obtains the material parameters of the parts, the geometric parameters of the parts, the assembly position parameters of the parts and the assembly posture parameters of the parts. And carrying out mechanical property analysis on the parts according to the part material parameters and the part geometric parameters, and generating a first mechanical property analysis result. And acquiring a part assembly structure parameter according to the part assembly position parameter and the part assembly posture parameter. And carrying out allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result. And acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table. And carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table, and generating a load threshold gradient table. And inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result. The technical problems of low analysis efficiency and high analysis cost in the analysis of the earthquake-resistant structure of the nuclear power distribution cabinet in the prior art are solved. The intelligent accurate analysis of the earthquake-resistant structure of the nuclear power distribution cabinet is realized, the analysis efficiency of the earthquake-resistant structure analysis of the nuclear power distribution cabinet is improved, and the analysis cost of the earthquake-resistant structure analysis of the nuclear power distribution cabinet is reduced.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
FIG. 1 is a flow chart of an earthquake resistant structure analysis method for a nuclear power distribution cabinet, which is provided by the application;
FIG. 2 is a schematic flow chart of a method for analyzing earthquake-resistant structure of a nuclear power distribution cabinet according to the present application, wherein the method is used for obtaining a first mechanical performance analysis result;
FIG. 3 is a schematic flow chart of a method for analyzing an earthquake-resistant structure of a nuclear power distribution cabinet to obtain a second mechanical property analysis result;
fig. 4 is a schematic structural diagram of an earthquake-resistant structural analysis system for a nuclear power distribution cabinet.
Reference numerals illustrate: the system comprises a parameter acquisition module 11, a first mechanical property analysis module 12, an assembly structure parameter acquisition module 13, a second mechanical property analysis module 14, a seismic response spectrum acquisition module 15, a load threshold gradient table acquisition module 16 and an earthquake resistant structure analysis module 17.
Detailed Description
Example 1
The present application will be further described in detail with reference to the accompanying drawings, for the purpose of making the objects, technical solutions and advantages of the present application more apparent, and the described embodiments should not be construed as limiting the present application, and all other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is to be understood that "some embodiments" can be the same subset or different subsets of all possible embodiments and can be combined with one another without conflict.
In the following description, the terms "first", "second", "third" and the like are merely used to distinguish similar objects and do not represent a particular ordering of the objects, it being understood that the "first", "second", "third" may be interchanged with a particular order or sequence, as permitted, to enable embodiments of the application described herein to be practiced otherwise than as illustrated or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only.
While the present application makes various references to certain modules in a system according to embodiments of the present application, any number of different modules may be used and run on a user terminal and/or server, the modules are merely illustrative, and different aspects of the system and method may use different modules.
A flowchart is used in the present application to describe the operations performed by a system according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in order precisely. Rather, the various steps may be processed in reverse order or simultaneously, as desired. Also, other operations may be added to or removed from these processes.
As shown in fig. 1, the application provides an earthquake-resistant structure analysis method for a nuclear power distribution cabinet, which comprises the following steps:
s10: performing part level splitting on a nuclear power distribution cabinet to generate a plurality of piece basic information, wherein the piece basic information comprises a piece material parameter, a piece geometric parameter, a piece assembling position parameter and a piece assembling posture parameter;
s20: carrying out mechanical property analysis on a plurality of parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result;
S30: acquiring a part assembly structure parameter according to the part assembly position parameter and the part assembly posture parameter;
specifically, the nuclear power distribution cabinet is subjected to part level splitting to generate a plurality of piece basic information, wherein the piece basic information comprises a piece material parameter, a piece geometric parameter, a piece assembling position parameter and a piece assembling posture parameter. The component material parameters are the specific assembly positions of the components in the nuclear power distribution cabinet, the component assembly posture parameters are the specific assembly modes of the components, such as reverse placement, side placement and the like. And then, carrying out mechanical property analysis on the parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result. Then, according to the acquired part assembly position parameters and part assembly posture parameters, acquiring part assembly structure parameters, wherein the assembly position represents the position of the part, and the assembly posture represents the assembly mode of the part, so that the specific structure of part assembly can be acquired according to the part assembly position and the assembly mode.
As shown in fig. 2, the method S20 provided by the embodiment of the present application further includes:
s21: obtaining a first mechanical performance analysis indicator, wherein the first mechanical performance analysis indicator comprises an elastic modulus, poisson's ratio, yield limit, and strength limit;
s22: setting the part material parameters and the part geometric parameters as data index conditions, and setting the elastic modulus, the poisson ratio, the yield limit and the strength limit as data index dimensions;
s23: acquiring a plurality of groups of mechanical property analysis records according to the data index conditions and the data index dimensions;
s24: and carrying out frequent item mining on the multiple groups of mechanical property analysis records to generate the first mechanical property analysis result.
Specifically, in performing the mechanical property analysis, a first mechanical property analysis index is obtained, wherein the first mechanical property analysis index comprises an elastic modulus, a poisson ratio, a yield limit and a strength limit. And then, setting the material parameters of the parts and the geometric parameters of the parts as data index conditions, setting the elastic modulus, the Poisson ratio, the yield limit and the strength limit as data index dimensions, and acquiring data of each part according to the data index conditions and the data index dimensions to obtain a plurality of groups of mechanical property analysis records. And finally, frequent item mining is carried out on a plurality of groups of mechanical property analysis records, namely, items in which characteristic values in mechanical property indexes appear more frequently are mined, and the first mechanical property analysis result is generated.
The method S20 provided by the embodiment of the application further comprises the following steps:
s25: acquiring mechanical property analysis records of an nth part according to the multiple groups of mechanical property analysis records;
s26: acquiring a trigger frequency duty ratio threshold;
s27: according to the trigger frequency duty ratio threshold, screening an nth part elastic modulus frequent item set, an nth part poisson ratio frequent item set, an nth part yield limit frequent item set and an nth part strength limit frequent item set from the nth part mechanical property analysis record;
s28: traversing the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set to perform feature fusion, and generating an nth part elastic modulus evaluation value, an nth part poisson ratio evaluation value, an nth part yield limit evaluation value and an nth part strength limit evaluation value;
s29: and adding the n-th part elastic modulus evaluation value, the n-th part poisson ratio evaluation value, the n-th part yield limit evaluation value and the n-th part strength limit evaluation value to the first mechanical performance analysis result.
Specifically, according to the multiple groups of mechanical property analysis records, the mechanical property analysis record of the nth part is obtained, and the mechanical property analysis record of the nth part is obtained. And then, acquiring a trigger frequency duty ratio threshold, wherein the trigger frequency duty ratio threshold is set through actual conditions, and as each part has a plurality of characteristic values of each type of mechanical property, each characteristic value has a ratio of the respective occurrence frequency to the total frequency, and is recorded as the trigger frequency duty ratio, and if the trigger frequency duty ratio is greater than or equal to the threshold, the trigger frequency is regarded as a trigger frequent item. And screening an nth part elastic modulus frequent item set, an nth part poisson ratio frequent item set, an nth part yield limit frequent item set and an nth part strength limit frequent item set from the nth part mechanical property analysis record according to the trigger frequency duty ratio threshold. Obtaining a complex set of mechanical properties of the nth part. Further, traversing the frequent item set of the elastic modulus of the nth part, the frequent item set of the poisson ratio of the nth part, the frequent item set of the yield limit of the nth part and the frequent item set of the strength limit of the nth part to perform feature fusion, so as to generate an evaluation value of the elastic modulus of the nth part, an evaluation value of the poisson ratio of the nth part, an evaluation value of the yield limit of the nth part and an evaluation value of the strength limit of the nth part, namely performing feature fusion on various item sets of various mechanical properties of the nth part, so as to generate an evaluation value of the elastic modulus of the nth part, an evaluation value of the poisson ratio of the nth part, an evaluation value of the yield limit of the nth part and an evaluation value of the strength limit of the nth part. And finally, adding the obtained elastic modulus evaluation value of the nth part, the Poisson ratio evaluation value of the nth part, the yield limit evaluation value of the nth part and the strength limit evaluation value of the nth part into the first mechanical performance analysis result, and fusing frequent items to ensure that the information concentration of the obtained evaluation value data is higher, so that the follow-up further analysis is facilitated.
The method S28 provided by the embodiment of the application further comprises the following steps:
s281: respectively carrying out weight distribution on the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set according to the triggering frequency duty ratio to generate a weight distribution result;
s282: and traversing the weight distribution result, and respectively carrying out feature fusion on the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set to generate the nth part elastic modulus evaluation value, the nth part poisson ratio evaluation value, the nth part yield limit evaluation value and the nth part strength limit evaluation value.
Specifically, the elastic modulus frequent item set of the nth part, the poisson ratio frequent item set of the nth part, the yield limit frequent item set of the nth part and the strength limit frequent item set of the nth part are respectively subjected to weight distribution according to the triggering frequency proportion, namely weight distribution is performed according to the actual frequency of occurrence of the frequent items, the weight distribution condition of the frequent items in each mechanical property is obtained, and a weight distribution result is generated. Further, traversing the weight distribution result, and respectively carrying out feature fusion on an nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set. And when the frequent item sets are fused, fusing the data of each item in the frequent item sets by using the obtained weight distribution, and carrying out normalization processing on the data of each item in the frequent item sets before fusing according to a weighted average mode, so as to obtain an n-th part elastic modulus evaluation value, the n-th part Poisson ratio evaluation value, the n-th part yield limit evaluation value and the n-th part strength limit evaluation value.
S40: performing allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result;
s50: acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table;
s60: carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table to generate a load threshold gradient table;
s70: and inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result.
Specifically, allowable stress evaluation is carried out according to the part assembly structure parameters and the first mechanical property analysis result, and a second mechanical property analysis result is generated. The allowable stress evaluation is obtained by training a plurality of mechanical property adjustment models through a regression decision tree. Further, an earthquake response spectrum is obtained, and an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table are extracted, wherein the earthquake response spectrum is a relation table for recording the earthquake grade gradient and the power distribution cabinet vibration acceleration. And carrying out load analysis according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table to generate a load threshold gradient, wherein the load threshold gradient is a load threshold of the power distribution cabinet after horizontal characteristic value adjustment and vertical characteristic value adjustment under different seismic grade gradients. And finally, inputting a second mechanical property analysis result into the load threshold gradient table, namely inputting allowable stress of each structure position into the load threshold gradient table, judging whether the allowable stress does not meet the condition of the load threshold gradient table, and generating a corresponding earthquake-resistant structure analysis result. The mechanical property analysis mode is adopted, so that the efficiency of acquiring the mechanical property inside the structure is higher compared with that of the mode of sample modeling, and meanwhile, a complex anti-seismic analysis model is not required to be constructed, so that the cost of an analysis process is reduced. The intelligent accurate analysis of the earthquake-resistant structure of the nuclear power distribution cabinet is realized, the analysis efficiency of the earthquake-resistant structure analysis of the nuclear power distribution cabinet is improved, and the analysis cost of the earthquake-resistant structure analysis of the nuclear power distribution cabinet is reduced.
As shown in fig. 3, the method S40 provided by the embodiment of the present application further includes:
s41: acquiring nuclear power distribution cabinet structure record data, nuclear power distribution cabinet part mechanical property record data and allowable stress calibration data, and training a plurality of mechanical property adjustment models based on a regression decision tree;
s42: obtaining a plurality of groups of loss data according to the mechanical property adjustment models;
s43: performing output weight distribution on the multiple mechanical property adjustment models according to the multiple groups of loss data to generate an output weight distribution result;
s44: inputting the first mechanical property analysis results of the part assembly structure parameters into the mechanical property adjustment models, and outputting a plurality of groups of allowable stress evaluation results;
s45: and processing the multiple groups of allowable stress evaluation results according to the output weight distribution result to generate the second mechanical property analysis result.
Specifically, nuclear power distribution cabinet structure record data, nuclear power distribution cabinet part mechanical property record data and allowable stress calibration data are collected, a plurality of mechanical property adjustment models are trained based on regression decision trees, the nuclear power distribution cabinet structure record data are history structure record data contained in a nuclear power distribution cabinet, the nuclear power distribution cabinet part mechanical property record data are part mechanical property history record data of various nuclear power distribution cabinets, the allowable stress calibration data are calibration data of allowable stress under the mechanical properties of the corresponding nuclear power distribution cabinet structure and the corresponding nuclear power distribution cabinet part, and the plurality of mechanical property adjustment models are trained based on regression decision trees. The regression decision tree is trained by utilizing the acquired nuclear power distribution cabinet structure record data, the nuclear power distribution cabinet part mechanical property record data and the allowable stress calibration data, and a plurality of mechanical property adjustment models are trained. Furthermore, a plurality of mechanical property adjustment models are utilized to obtain a plurality of groups of loss data, wherein the loss data are data which can not be fitted or can not be accurately output all the time after model training, and due to the adoption of the mode of the plurality of mechanical property adjustment models, the loss data output by each model are possibly different, and the models can be complemented. Since the lost data contains a certain amount of information, when the lost data is directly discarded, the model may have a poor output result when the model encounters the same condition as the lost data. Further, according to the multiple groups of loss data, output weight distribution is carried out on the multiple mechanical property adjustment models, and an output weight distribution result is generated, namely, the data volume ratio of each model to the loss data output is obtained, and the weight is lower as the data volume of the loss data output is larger. Inputting the first mechanical property analysis result of the component assembly structure parameters into the plurality of mechanical property adjustment models, outputting a plurality of groups of allowable stress evaluation results, processing the plurality of groups of allowable stress evaluation results according to the output weight distribution results to generate the second mechanical property analysis result, when the plurality of groups of allowable stress evaluation results are processed and the plurality of models output allowable stress at the same position, obtaining a weighted average according to the weight of each model, and directly generating the second mechanical property analysis result if only a single allowable stress exists. The accuracy and the comprehensiveness of allowable stress analysis are improved by arranging a plurality of mechanical property adjustment models.
The method S60 provided by the embodiment of the application further comprises the following steps:
s61: acquiring quality parameters of a plurality of parts and assembly environment parameters of a power distribution cabinet;
s62: performing conventional stress statistics according to the quality parameters of the plurality of parts and the assembly environment parameters of the power distribution cabinet to generate conventional stress information, wherein the conventional stress information comprises conventional stress positions and conventional stress characteristic values;
s63: acquiring an mth seismic grade vibration acceleration according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table, wherein the mth seismic grade vibration acceleration comprises horizontal acceleration and vertical acceleration;
s64: decomposing the conventional stress characteristic value based on the conventional stress position to generate a conventional stress horizontal characteristic value and a conventional stress vertical characteristic value;
s65: and adjusting the conventional stressed horizontal characteristic value according to the horizontal acceleration, and adjusting the conventional stressed vertical characteristic value according to the vertical acceleration to generate the load threshold gradient table.
Specifically, a plurality of part quality parameters and a power distribution cabinet assembly environment parameter are obtained, wherein the plurality of part quality parameters are standard quality parameters of parts when leaving factories, and the power distribution cabinet assembly environment parameter is an environment parameter of the power distribution cabinet during assembly. And carrying out conventional stress statistics according to the quality parameters of the plurality of parts and the assembly environment parameters of the power distribution cabinet to generate conventional stress information, wherein the conventional stress information comprises conventional stress positions and conventional stress characteristic values, and the conventional stress information obtained at the moment is the power distribution cabinet stress information in a normal state. And then, according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table, acquiring the mth seismic grade vibration acceleration, wherein m is seismic grade data. Wherein the mth seismic grade vibration acceleration includes a horizontal acceleration and a vertical acceleration. And decomposing the conventional stress characteristic value based on the conventional stress position to generate a conventional stress horizontal characteristic value and a conventional stress vertical characteristic value, namely decomposing the conventional stress position characteristic value into the conventional stress horizontal characteristic value and the conventional stress vertical characteristic value. And finally, adjusting the conventional stress horizontal characteristic value according to the horizontal acceleration, adjusting the conventional stress vertical characteristic value according to the vertical acceleration, namely superposing the horizontal force generated by the earthquake on the basis of the decomposed conventional stress horizontal characteristic value to finish the adjustment of the conventional stress horizontal characteristic value, superposing the earthquake on the basis of the decomposed conventional stress vertical characteristic value to generate the force in the vertical direction to finish the adjustment of the conventional stress vertical characteristic value, and generating the load threshold gradient table.
The method S70 provided by the embodiment of the application further comprises the following steps:
s71: inputting the second mechanical property analysis result into the load threshold gradient table, and judging whether allowable stress meets all load thresholds of the load threshold gradient table or not;
s72: if the result is met, generating a qualified mark of the earthquake-resistant structure, and adding the qualified mark into the analysis result of the earthquake-resistant structure;
s73: if not, outputting allowable stress defect positions;
s74: optimizing one or more of a defect position part material parameter, a defect position part size parameter and a defect position structure parameter according to the allowable stress defect position to generate a defect position optimization result;
s75: and adding the defect position optimization result into the earthquake-resistant structure analysis result.
Specifically, the second mechanical property analysis result is input into the load threshold gradient table, whether allowable stress meets all load thresholds of the load threshold gradient table is judged, if yes, all allowable stress of all parts meets all load thresholds in the load threshold gradient table, an earthquake-resistant structure qualified mark is generated, and the earthquake-resistant structure qualified mark is added into the earthquake-resistant structure analysis result. If the allowable stress is not satisfied, outputting a position with a defect corresponding to the allowable stress, and optimizing one or more of a defect position part material parameter, a defect position part size parameter and a defect position structure parameter according to the allowable stress defect position to generate a defect position optimization result. And finally, adding the defect position optimization result into the earthquake resistant structure analysis result to complete the earthquake resistant structure analysis.
The method S74 provided by the embodiment of the application further comprises the following steps:
s741: setting a first adjustment probability for the material parameter of the part at the defect position, setting a second adjustment probability for the size parameter of the part at the defect position, and setting a third adjustment probability for the structural parameter at the defect position, wherein the first adjustment probability is greater than the second adjustment probability and greater than the third adjustment probability;
s742: adjusting the material parameters of the parts at the defect positions for a first preset time, and judging whether the load threshold gradient table is met or not;
s743: if the load threshold gradient table is not met, according to the first adjustment probability and the second adjustment probability, adjusting the combination of the material parameters of the part at the defect position and the size parameters of the part at the defect position for a second preset times, and judging whether the load threshold gradient table is met;
s744: if not, according to the first adjustment probability, the second adjustment probability and the third adjustment probability, a second preset number of times is adjusted for the combination of the material parameter of the part at the defect position, the size parameter of the part at the defect position and the structural parameter at the defect position, and whether the load threshold gradient table is met or not is judged;
s745: if not, generating an optimization abnormal instruction and sending the optimization abnormal instruction to the management terminal; and if so, generating the defect position optimization result.
Specifically, a first adjustment probability is set for the material parameter of the part at the defect position, a second adjustment probability is set for the size parameter of the part at the defect position, and a third adjustment probability is set for the structural parameter at the defect position. Thus, the first adjustment probability is greater than the second adjustment probability is greater than the third adjustment probability. When the actual optimization is carried out, the probability of material adjustment is larger, and the probability of structure adjustment is minimum. And adjusting the material parameters of the parts at the defect positions for a first preset time, and judging whether the load threshold gradient table is met or not, namely judging whether the adjusted data meets the load threshold gradient table or not after adjusting the material parameters according to the first preset time. And outputting an optimization result when the parameter is satisfied, and if the parameter is not satisfied, adjusting the combination of the material parameter of the part at the defect position and the size parameter of the part at the defect position for a second preset times according to the first adjustment probability and the second adjustment probability, namely, judging whether the adjusted data satisfies the load threshold gradient table after the combination adjustment of the material parameter of the part and the size parameter of the part at the defect position according to the second preset times. And outputting an optimization result when the parameter is satisfied, and if the parameter is not satisfied, according to the first adjustment probability, the second adjustment probability and the third adjustment probability, adjusting the combination of the material parameter of the part at the defect position, the size parameter of the part at the defect position and the structural parameter at the defect position for a second preset time, and judging whether the load threshold gradient table is satisfied. And when the load threshold gradient table is met, outputting an optimization result, and if the load threshold gradient table is not met, adjusting parameters cannot meet the requirements of the load threshold gradient table, indicating that the structure possibly has abnormality, generating an optimization abnormality instruction, sending the optimization abnormality instruction to a management terminal, and completing adjustment and optimization of the defect position.
In summary, the method provided by the embodiment of the application obtains the part material parameter, the part geometric parameter, the part assembly position parameter and the part assembly posture parameter. And carrying out mechanical property analysis on the parts according to the part material parameters and the part geometric parameters, and generating a first mechanical property analysis result. And acquiring a part assembly structure parameter according to the part assembly position parameter and the part assembly posture parameter. And carrying out allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result. And acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table. And carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table, and generating a load threshold gradient table. And inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result. The mechanical property analysis mode is adopted, so that the efficiency of acquiring the mechanical property inside the structure is higher compared with that of the mode of sample modeling, and meanwhile, a complex anti-seismic analysis model is not required to be constructed, so that the cost of an analysis process is reduced. The technical problems of low analysis efficiency and high analysis cost in the analysis of the earthquake-resistant structure of the nuclear power distribution cabinet in the prior art are solved. The intelligent accurate analysis of the earthquake-resistant structure of the nuclear power distribution cabinet is realized, the analysis efficiency of the earthquake-resistant structure analysis of the nuclear power distribution cabinet is improved, and the analysis cost of the earthquake-resistant structure analysis of the nuclear power distribution cabinet is reduced.
Example two
Based on the same inventive concept as one of the foregoing embodiments of the method for analyzing an earthquake-resistant structure for a nuclear power distribution cabinet, as shown in fig. 4, the present application provides an earthquake-resistant structure analysis system for a nuclear power distribution cabinet, the system comprising:
the parameter acquisition module 11 is used for carrying out part level splitting on the nuclear power distribution cabinet to generate a plurality of part basic information, wherein the plurality of part basic information comprises part material parameters, part geometric parameters, part assembly position parameters and part assembly posture parameters;
a first mechanical property analysis module 12 for performing mechanical property analysis on the plurality of parts according to the part material parameters and the part geometry parameters to generate a first mechanical property analysis result;
an assembly structure parameter obtaining module 13, configured to obtain a part assembly structure parameter according to the part assembly position parameter and the part assembly posture parameter;
the second mechanical performance analysis module 14 is configured to perform allowable stress assessment according to the component assembly structure parameter and the first mechanical performance analysis result, and generate a second mechanical performance analysis result;
the earthquake response spectrum acquisition module 15 is used for acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table;
The load threshold gradient table acquisition module 16 is used for carrying out load analysis according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table to generate a load threshold gradient table;
and the earthquake-resistant structure analysis module 17 is used for inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result.
Further, the first mechanical property analysis module 12 is further configured to:
obtaining a first mechanical performance analysis indicator, wherein the first mechanical performance analysis indicator comprises an elastic modulus, poisson's ratio, yield limit, and strength limit;
setting the part material parameters and the part geometric parameters as data index conditions, and setting the elastic modulus, the poisson ratio, the yield limit and the strength limit as data index dimensions;
acquiring a plurality of groups of mechanical property analysis records according to the data index conditions and the data index dimensions;
and carrying out frequent item mining on the multiple groups of mechanical property analysis records to generate the first mechanical property analysis result.
Further, the first mechanical property analysis module 12 is further configured to:
acquiring mechanical property analysis records of an nth part according to the multiple groups of mechanical property analysis records;
Acquiring a trigger frequency duty ratio threshold;
according to the trigger frequency duty ratio threshold, screening an nth part elastic modulus frequent item set, an nth part poisson ratio frequent item set, an nth part yield limit frequent item set and an nth part strength limit frequent item set from the nth part mechanical property analysis record;
traversing the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set to perform feature fusion, and generating an nth part elastic modulus evaluation value, an nth part poisson ratio evaluation value, an nth part yield limit evaluation value and an nth part strength limit evaluation value;
and adding the n-th part elastic modulus evaluation value, the n-th part poisson ratio evaluation value, the n-th part yield limit evaluation value and the n-th part strength limit evaluation value to the first mechanical performance analysis result.
Further, the first mechanical property analysis module 12 is further configured to:
respectively carrying out weight distribution on the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set according to the triggering frequency duty ratio to generate a weight distribution result;
And traversing the weight distribution result, and respectively carrying out feature fusion on the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set to generate the nth part elastic modulus evaluation value, the nth part poisson ratio evaluation value, the nth part yield limit evaluation value and the nth part strength limit evaluation value.
Further, the second mechanical property analysis module 14 is further configured to:
acquiring nuclear power distribution cabinet structure record data, nuclear power distribution cabinet part mechanical property record data and allowable stress calibration data, and training a plurality of mechanical property adjustment models based on a regression decision tree;
obtaining a plurality of groups of loss data according to the mechanical property adjustment models;
performing output weight distribution on the multiple mechanical property adjustment models according to the multiple groups of loss data to generate an output weight distribution result;
inputting the first mechanical property analysis results of the part assembly structure parameters into the mechanical property adjustment models, and outputting a plurality of groups of allowable stress evaluation results;
and processing the multiple groups of allowable stress evaluation results according to the output weight distribution result to generate the second mechanical property analysis result.
Further, the load threshold gradient table acquisition module 16 is further configured to:
acquiring quality parameters of a plurality of parts and assembly environment parameters of a power distribution cabinet;
performing conventional stress statistics according to the quality parameters of the plurality of parts and the assembly environment parameters of the power distribution cabinet to generate conventional stress information, wherein the conventional stress information comprises conventional stress positions and conventional stress characteristic values;
acquiring an mth seismic grade vibration acceleration according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table, wherein the mth seismic grade vibration acceleration comprises horizontal acceleration and vertical acceleration;
decomposing the conventional stress characteristic value based on the conventional stress position to generate a conventional stress horizontal characteristic value and a conventional stress vertical characteristic value;
and adjusting the conventional stressed horizontal characteristic value according to the horizontal acceleration, and adjusting the conventional stressed vertical characteristic value according to the vertical acceleration to generate the load threshold gradient table.
Further, the earthquake-resistant structure analysis module 17 is further configured to:
inputting the second mechanical property analysis result into the load threshold gradient table, and judging whether allowable stress meets all load thresholds of the load threshold gradient table or not;
If the result is met, generating a qualified mark of the earthquake-resistant structure, and adding the qualified mark into the analysis result of the earthquake-resistant structure;
if not, outputting allowable stress defect positions;
optimizing one or more of a defect position part material parameter, a defect position part size parameter and a defect position structure parameter according to the allowable stress defect position to generate a defect position optimization result;
and adding the defect position optimization result into the earthquake-resistant structure analysis result.
Further, the earthquake-resistant structure analysis module 17 is further configured to:
setting a first adjustment probability for the material parameter of the part at the defect position, setting a second adjustment probability for the size parameter of the part at the defect position, and setting a third adjustment probability for the structural parameter at the defect position, wherein the first adjustment probability is greater than the second adjustment probability and greater than the third adjustment probability;
adjusting the material parameters of the parts at the defect positions for a first preset time, and judging whether the load threshold gradient table is met or not;
if the load threshold gradient table is not met, according to the first adjustment probability and the second adjustment probability, adjusting the combination of the material parameters of the part at the defect position and the size parameters of the part at the defect position for a second preset times, and judging whether the load threshold gradient table is met;
If not, according to the first adjustment probability, the second adjustment probability and the third adjustment probability, a second preset number of times is adjusted for the combination of the material parameter of the part at the defect position, the size parameter of the part at the defect position and the structural parameter at the defect position, and whether the load threshold gradient table is met or not is judged;
if not, generating an optimization abnormal instruction and sending the optimization abnormal instruction to the management terminal; and if so, generating the defect position optimization result.
The second embodiment is used for executing the method as in the first embodiment, and the execution principle and the execution basis thereof can be obtained through the content described in the first embodiment, which is not repeated herein. Although the present application has been described in connection with the specified features and embodiments thereof, the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the application, and the content thus obtained falls within the scope of protection of the present application.
Claims (4)
1. An earthquake-resistant structure analysis method for a nuclear power distribution cabinet is characterized by comprising the following steps:
performing part level splitting on a nuclear power distribution cabinet to generate a plurality of piece basic information, wherein the piece basic information comprises a piece material parameter, a piece geometric parameter, a piece assembling position parameter and a piece assembling posture parameter;
Carrying out mechanical property analysis on a plurality of parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result;
acquiring a part assembly structure parameter according to the part assembly position parameter and the part assembly posture parameter;
performing allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result;
acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table;
carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table to generate a load threshold gradient table;
inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result;
the mechanical property analysis is performed on a plurality of parts according to the part material parameters and the part geometric parameters, and a first mechanical property analysis result is generated, which comprises the following steps:
obtaining a first mechanical performance analysis indicator, wherein the first mechanical performance analysis indicator comprises an elastic modulus, poisson's ratio, yield limit, and strength limit;
setting the part material parameters and the part geometric parameters as data index conditions, and setting the elastic modulus, the poisson ratio, the yield limit and the strength limit as data index dimensions;
Acquiring a plurality of groups of mechanical property analysis records according to the data index conditions and the data index dimensions;
frequent item mining is conducted on the multiple groups of mechanical property analysis records, and the first mechanical property analysis result is generated;
the frequent item mining is performed on the multiple sets of mechanical property analysis records to generate the first mechanical property analysis result, including:
acquiring mechanical property analysis records of an nth part according to the multiple groups of mechanical property analysis records;
acquiring a trigger frequency duty ratio threshold;
according to the trigger frequency duty ratio threshold, screening an nth part elastic modulus frequent item set, an nth part poisson ratio frequent item set, an nth part yield limit frequent item set and an nth part strength limit frequent item set from the nth part mechanical property analysis record;
traversing the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set to perform feature fusion, and generating an nth part elastic modulus evaluation value, an nth part poisson ratio evaluation value, an nth part yield limit evaluation value and an nth part strength limit evaluation value;
Adding the n-th part elastic modulus evaluation value, the n-th part poisson ratio evaluation value, the n-th part yield limit evaluation value, and the n-th part strength limit evaluation value to the first mechanical performance analysis result;
and performing allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result, wherein the second mechanical property analysis result comprises:
acquiring nuclear power distribution cabinet structure record data, nuclear power distribution cabinet part mechanical property record data and allowable stress calibration data, and training a plurality of mechanical property adjustment models based on a regression decision tree;
obtaining a plurality of groups of loss data according to the mechanical property adjustment models;
performing output weight distribution on the multiple mechanical property adjustment models according to the multiple groups of loss data to generate an output weight distribution result;
inputting the first mechanical property analysis results of the part assembly structure parameters into the mechanical property adjustment models, and outputting a plurality of groups of allowable stress evaluation results;
processing the multiple groups of allowable stress evaluation results according to the output weight distribution results to generate the second mechanical property analysis result;
Load analysis is carried out according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table, and a load threshold gradient table is generated, and the method comprises the following steps:
acquiring quality parameters of a plurality of parts and assembly environment parameters of a power distribution cabinet;
performing conventional stress statistics according to the quality parameters of the plurality of parts and the assembly environment parameters of the power distribution cabinet to generate conventional stress information, wherein the conventional stress information comprises conventional stress positions and conventional stress characteristic values;
acquiring an mth seismic grade vibration acceleration according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table, wherein the mth seismic grade vibration acceleration comprises horizontal acceleration and vertical acceleration;
decomposing the conventional stress characteristic value based on the conventional stress position to generate a conventional stress horizontal characteristic value and a conventional stress vertical characteristic value;
the conventional stress horizontal characteristic value is adjusted according to the horizontal acceleration, the conventional stress vertical characteristic value is adjusted according to the vertical acceleration, and the load threshold gradient table is generated;
inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result, wherein the method comprises the following steps of:
Inputting the second mechanical property analysis result into the load threshold gradient table, and judging whether allowable stress meets all load thresholds of the load threshold gradient table or not;
if the result is met, generating a qualified mark of the earthquake-resistant structure, and adding the qualified mark into the analysis result of the earthquake-resistant structure;
if not, outputting allowable stress defect positions;
optimizing one or more of a defect position part material parameter, a defect position part size parameter and a defect position structure parameter according to the allowable stress defect position to generate a defect position optimization result;
and adding the defect position optimization result into the earthquake-resistant structure analysis result.
2. The method of claim 1, wherein the traversing the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set, and the nth part strength limit frequent item set performs feature fusion to generate an nth part elastic modulus score value, an nth part poisson ratio score value, an nth part yield limit score value, and an nth part strength limit score value, comprising:
respectively carrying out weight distribution on the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set according to the triggering frequency duty ratio to generate a weight distribution result;
And traversing the weight distribution result, and respectively carrying out feature fusion on the nth part elastic modulus frequent item set, the nth part poisson ratio frequent item set, the nth part yield limit frequent item set and the nth part strength limit frequent item set to generate the nth part elastic modulus evaluation value, the nth part poisson ratio evaluation value, the nth part yield limit evaluation value and the nth part strength limit evaluation value.
3. The method of claim 1, wherein optimizing one or more of a defect-location part material parameter, a defect-location part size parameter, and a defect-location structure parameter based on the allowable stress defect location generates a defect-location optimization result, comprising:
setting a first adjustment probability for the material parameter of the part at the defect position, setting a second adjustment probability for the size parameter of the part at the defect position, and setting a third adjustment probability for the structural parameter at the defect position, wherein the first adjustment probability is greater than the second adjustment probability and greater than the third adjustment probability;
adjusting the material parameters of the parts at the defect positions for a first preset time, and judging whether the load threshold gradient table is met or not;
If the load threshold gradient table is not met, according to the first adjustment probability and the second adjustment probability, adjusting the combination of the material parameters of the part at the defect position and the size parameters of the part at the defect position for a second preset times, and judging whether the load threshold gradient table is met;
if not, according to the first adjustment probability, the second adjustment probability and the third adjustment probability, a second preset number of times is adjusted for the combination of the material parameter of the part at the defect position, the size parameter of the part at the defect position and the structural parameter at the defect position, and whether the load threshold gradient table is met or not is judged;
if not, generating an optimization abnormal instruction and sending the optimization abnormal instruction to the management terminal; and if so, generating the defect position optimization result.
4. A seismic structural analysis system for a nuclear power distribution cabinet, the system performing the method of any one of claims 1 to 3, comprising:
the parameter acquisition module is used for carrying out part level splitting on the nuclear power distribution cabinet to generate a plurality of part basic information, wherein the plurality of part basic information comprises part material parameters, part geometric parameters, part assembly position parameters and part assembly posture parameters;
The first mechanical performance analysis module is used for carrying out mechanical performance analysis on the parts according to the part material parameters and the part geometric parameters to generate a first mechanical performance analysis result;
the assembly structure parameter acquisition module is used for acquiring the assembly structure parameters of the parts according to the assembly position parameters of the parts and the assembly posture parameters of the parts;
the second mechanical property analysis module is used for carrying out allowable stress evaluation according to the part assembly structure parameters and the first mechanical property analysis result to generate a second mechanical property analysis result;
the earthquake response spectrum acquisition module is used for acquiring an earthquake response spectrum, and extracting an earthquake grade gradient table and a power distribution cabinet vibration acceleration gradient table;
the load threshold gradient table acquisition module is used for carrying out load analysis according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table to generate a load threshold gradient table;
and the earthquake-resistant structure analysis module is used for inputting the second mechanical property analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result.
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