CN115905372A - 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 a seismic structure analysis method and a seismic structure analysis system for a nuclear power distribution cabinet, which are applied to the technical field of data processing, and the method comprises the following steps: the method comprises the steps of obtaining part material parameters, part geometric parameters, part assembly position parameters and part assembly posture parameters. And analyzing the mechanical properties of the plurality of parts to generate a first mechanical property analysis result and obtain the assembly structure parameters of the parts. And carrying out allowable stress evaluation according to the component assembly structure parameters and the first mechanical performance analysis result to generate a second mechanical performance 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 to generate a load threshold value gradient table. And inputting the second mechanical performance 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 of the anti-seismic structure analysis 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 a method and a system for analyzing an earthquake-resistant structure of a nuclear power distribution cabinet.
Background
The earthquake-resistant structure analysis is a foundation that equipment can stably work when suffering from natural disasters, and earthquake-resistant defects inside the structure can be more clearly embodied through the earthquake-resistant structure analysis, so that the targeted optimization processing of workers is facilitated. However, in the prior art, earthquake-resistant structure analysis is mostly performed by adopting a sample analysis and modeling analysis mode, the analysis efficiency of the sample analysis is low, and the modeling analysis has a high cost due to the fact that a more precise model needs to be constructed, so that the earthquake-resistant analysis cost is high.
Consequently, there are analysis inefficiency in the antidetonation structure analysis of nuclear power switch board among the prior art, the high technical problem of analysis cost.
Disclosure of Invention
The application provides a seismic 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 seismic structure analysis of the nuclear power distribution cabinet in the prior art.
In view of the above problems, the present application provides a seismic structure analysis method and system for a nuclear power distribution cabinet.
In a first aspect of the application, a seismic structure analysis method for a nuclear power distribution cabinet is provided, and the method comprises the following steps: the method comprises the steps of carrying out component level splitting on a nuclear power distribution cabinet to generate a plurality of pieces of basic information, wherein the plurality of pieces of basic information comprise piece material parameters, piece geometric parameters, piece assembly position parameters and piece assembly posture parameters; analyzing the mechanical properties of the parts according to the material parameters and the geometric parameters of the parts to generate a first mechanical property analysis result; acquiring a component assembling structure parameter according to the component assembling position parameter and the component assembling posture parameter; performing allowable stress evaluation according to the part assembling structure parameters and the first mechanical performance analysis result to generate a second mechanical performance analysis result; acquiring a seismic response spectrum, and extracting a seismic 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 performance 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 structure analysis system for a nuclear power distribution cabinet, the system comprising: the nuclear power distribution cabinet component level splitting system comprises a parameter acquisition module, a component level splitting module and a component level splitting module, wherein the parameter acquisition module is used for carrying out component level splitting on a nuclear power distribution cabinet and generating a plurality of pieces of component basic information, and the plurality of pieces of component basic information comprise component material parameters, component geometric parameters, component assembly position parameters and component assembly posture parameters; the first mechanical property analysis module is used for analyzing the mechanical properties of the parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result; the assembly structure parameter acquisition module is used for acquiring the component assembly structure parameters according to the component assembly position parameters and the component assembly posture parameters; the second mechanical performance analysis module is used for carrying out allowable stress evaluation according to the part assembly structure parameters and the first mechanical performance analysis result to generate a second mechanical performance 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 performance analysis result into the load threshold gradiometer to generate an earthquake-resistant structure analysis result.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the method provided by the embodiment of the application obtains the parameters of the material of the part, the geometric parameters of the part, the assembly position parameters of the part and the assembly posture parameters of the part. And analyzing the mechanical properties of the parts according to the material parameters and the geometric parameters of the parts to generate a first mechanical property analysis result. And acquiring the parameters of the component assembling structure according to the parameters of the component assembling position and the parameters of the component assembling posture. And carrying out allowable stress evaluation according to the part assembling structure parameters and the first mechanical performance analysis result to generate a second mechanical performance analysis result. And acquiring a seismic response spectrum, and extracting a seismic 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 to generate a load threshold gradient table. And inputting the second mechanical performance analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result. The technical problems that analysis efficiency is low and analysis cost is high in the analysis of the anti-seismic structure of the nuclear power distribution cabinet in the prior art are solved. The intelligent and accurate analysis of the anti-seismic structure of the nuclear power distribution cabinet is realized, the analysis efficiency of the anti-seismic structure analysis of the nuclear power distribution cabinet is improved, and the analysis cost of the anti-seismic structure analysis of the nuclear power distribution cabinet is reduced.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of an earthquake-resistant structure analysis method for a nuclear power distribution cabinet according to the present application;
FIG. 2 is a schematic flow chart of a first mechanical property analysis result obtained in the seismic structure analysis method for the nuclear power distribution cabinet provided by the application;
FIG. 3 is a schematic flow chart illustrating a second mechanical property analysis result obtained in the seismic structure analysis method for the nuclear power distribution cabinet according to the present disclosure;
FIG. 4 provides a schematic structural diagram of an earthquake-resistant structure analysis system for a nuclear power distribution cabinet.
Description of reference numerals: 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 one
In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection 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 understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
In the following description, references to the terms "first \ second \ third" are only to distinguish similar objects and do not denote a particular order, but rather the terms "first \ second \ third" are used to interchange specific orders or sequences, where appropriate, so as to enable the embodiments of the application described herein to be practiced in other than the order shown 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 particular embodiments only.
Although various references are made herein to certain modules in systems according to embodiments of the present application, any number of different modules may be used and run on the user terminal and/or server, the modules are merely illustrative, and different aspects of the systems and methods may use different modules.
Flowcharts are used herein to illustrate the operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously, as desired. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
As shown in fig. 1, the present application provides a seismic structure analysis method for a nuclear power distribution cabinet, the method including:
s10: the method comprises the steps of carrying out component level splitting on a nuclear power distribution cabinet to generate a plurality of pieces of basic information, wherein the plurality of pieces of basic information comprise piece material parameters, piece geometric parameters, piece assembly position parameters and piece assembly posture parameters;
s20: analyzing the mechanical properties of the parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result;
s30: acquiring a component assembling structure parameter according to the component assembling position parameter and the component assembling posture parameter;
specifically, the nuclear power distribution cabinet is subjected to component level splitting, and a plurality of pieces of basic information are generated, wherein the plurality of pieces of basic information comprise piece material parameters, piece geometric parameters, piece assembly position parameters and piece assembly posture parameters. The part material parameters are different in shock resistance grade due to different strengths of different specific materials of the part, the part geometric parameters are external dimension parameters of the part, the part assembly position parameters are specific assembly positions of the part in the nuclear power distribution cabinet, and the part assembly posture parameters are specific assembly modes of the part, such as inverted placement, side placement and the like. And then, performing mechanical property analysis on the plurality of parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result. And then, acquiring the parameters of the component assembling structure according to the acquired parameters of the component assembling position and the component assembling posture, wherein the assembling position represents the position of the component, and the assembling posture represents the assembling mode of the component, so that the specific structure of the component assembly can be acquired according to the component assembling position and the assembling mode.
As shown in fig. 2, the method S20 provided in the embodiment of the present application further includes:
s21: obtaining a first mechanical property analysis index, wherein the first mechanical property analysis index comprises an elastic modulus, a Poisson's ratio, a yield limit and a strength limit;
s22: setting the part material parameters and the part geometric parameters as data index conditions, and setting the elastic modulus, the Poisson's ratio, the yield limit and the strength limit as data index dimensions;
s23: collecting a plurality of groups of mechanical property analysis records according to the data index conditions and the data index dimensions;
s24: and performing frequent item mining on the multiple groups of mechanical property analysis records to generate a first mechanical property analysis result.
Specifically, when mechanical property analysis is performed, 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 part material parameters and part geometric parameters as data index conditions, setting the elastic modulus, the Poisson ratio, the yield limit and the strength limit as data index dimensions, carrying out data acquisition on each part according to the data index conditions and the data index dimensions, and acquiring to obtain multiple groups of mechanical property analysis records. And finally, performing frequent item mining on the multiple groups of mechanical property analysis records, namely mining items with frequent characteristic values in the mechanical property indexes, and generating a first mechanical property analysis result.
The method S20 provided in the embodiment of the present application further includes:
s25: acquiring a mechanical property analysis record of the nth part according to the multiple groups of mechanical property analysis records;
s26: acquiring a trigger frequency ratio threshold;
s27: according to the triggering frequency ratio threshold value, 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 records;
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 for feature fusion to generate 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's ratio evaluation value, the n-th part yield limit evaluation value and the n-th part strength limit evaluation value into the first mechanical property analysis result.
Specifically, the mechanical property analysis record of the nth part is obtained according to the multiple groups of mechanical property analysis records, and the mechanical property analysis record of the nth part is obtained. And then, acquiring a trigger frequency ratio threshold, wherein the trigger frequency ratio threshold is set through actual conditions, each part has a plurality of characteristic values for mechanical property of each type, each characteristic value has a ratio of respective occurrence frequency to total frequency, the ratio is recorded as trigger frequency ratio, and if the ratio is greater than or equal to the threshold, the trigger frequency ratio is regarded as a trigger frequent item. And screening an elastic modulus frequent item set, an n-th part Poisson ratio frequent item set, an n-th part yield limit frequent item set and an n-th part strength limit frequent item set from the n-th part mechanical property analysis records according to the triggering frequency ratio threshold. And obtaining a complex item set of each mechanical property of the nth part. Further, the n-th part elastic modulus frequent item set, the n-th part poisson ratio frequent item set, the n-th part yield limit frequent item set and the n-th part strength limit frequent item set are traversed for feature fusion, so as to generate an n-th part elastic modulus evaluation value, an n-th part poisson ratio evaluation value, an n-th part yield limit evaluation value and an n-th part strength limit evaluation value, namely feature fusion is performed on each frequent item set of each mechanical property of the n-th part, so as to generate an n-th part elastic modulus evaluation value, an n-th part poisson ratio evaluation value, an n-th part yield limit evaluation value and an n-th part strength limit evaluation value. And finally, adding the obtained evaluation value of the elastic modulus of the nth part, the evaluation value of the Poisson ratio of the nth part, the evaluation value of the yield limit of the nth part and the evaluation value of the strength limit of the nth part into the first mechanical property analysis result, and fusing frequent items to enable the information concentration of the obtained evaluation value data to be higher, so as to facilitate further analysis in the follow-up process.
The method S28 provided in the embodiment of the present application further includes:
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 ratio to generate a weight distribution result;
s282: traversing the weight distribution result, and respectively performing 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, the poisson ratio frequent item set, the yield limit frequent item set and the strength limit frequent item set of the nth part are respectively subjected to weight distribution according to the ratio of the trigger frequency, that is, the weight distribution is performed according to the actual frequent item occurrence frequency to obtain the weight distribution condition of the frequent items in each mechanical property, and a weight distribution result is generated. Further, traversing the weight distribution result, and respectively performing 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. And fusing the data of each item in the frequent item set by using the acquired weight distribution during the fusion of each frequent item set, wherein the data of each item in the frequent item set needs to be normalized before the fusion according to a weighted average mode, and then the acquisition of the 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 is performed.
S40: performing allowable stress evaluation according to the part assembling structure parameters and the first mechanical performance analysis result to generate a second mechanical performance analysis result;
s50: acquiring a seismic response spectrum, and extracting a seismic 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 performance 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 component assembly structure parameters and the first mechanical performance analysis result, and a second mechanical performance analysis result is generated. The allowable stress assessment is obtained by using a regression decision tree to train a plurality of mechanical property adjustment models. And further, acquiring a seismic response spectrum, and extracting a seismic grade gradient table and a power distribution cabinet vibration acceleration gradient table, wherein the seismic response spectrum is a relation table for recording the seismic grade gradient and the power distribution cabinet vibration acceleration. And 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, wherein the load threshold gradient is a load threshold after the power distribution cabinet is subjected to horizontal characteristic value adjustment and vertical characteristic value adjustment under different earthquake grade gradients. And finally, inputting the second mechanical performance analysis result into the load threshold gradient table, namely inputting the allowable stress of each structure position into the load threshold gradient table, judging whether the allowable stress does not meet the load threshold gradient table, and generating a corresponding earthquake-resistant structure analysis result. Due to the adoption of the mechanical property analysis mode, the efficiency of obtaining the mechanical property inside the structure is higher than that of a sample modeling mode, and meanwhile, a complex anti-seismic analysis model does not need to be constructed, so that the cost of the analysis process is reduced. The intelligent and accurate analysis of the anti-seismic structure of the nuclear power distribution cabinet is realized, the analysis efficiency of the anti-seismic structure analysis of the nuclear power distribution cabinet is improved, and the analysis cost of the anti-seismic structure analysis of the nuclear power distribution cabinet is reduced.
As shown in fig. 3, the method S40 provided in the embodiment of the present application further includes:
s41: collecting nuclear power distribution cabinet structure recording data, nuclear power distribution cabinet part mechanical property recording 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 plurality of mechanical property adjustment models;
s43: carrying out output weight distribution on the plurality of mechanical property adjustment models according to the plurality of groups of loss data to generate an output weight distribution result;
s44: inputting the first mechanical property analysis result of the part assembly structure parameters into the plurality of 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 a second mechanical performance analysis result.
Specifically, nuclear power distribution cabinet structure recorded data, nuclear power distribution cabinet part mechanical property recorded data and allowable stress calibration data are collected, a plurality of mechanical property adjustment models are trained on the basis of a regression decision tree, wherein the nuclear power distribution cabinet structure recorded data are historical structure recorded data contained in a nuclear power distribution cabinet, the nuclear power distribution cabinet part mechanical property recorded data are historical part mechanical property recorded data of various nuclear power distribution cabinets, the allowable stress calibration data are calibration data of allowable stress under the part mechanical properties of the corresponding nuclear power distribution cabinet structure and the corresponding nuclear power distribution cabinet, and the plurality of mechanical property adjustment models are trained on the basis of the regression decision tree. The regression decision tree is trained by using the acquired nuclear power distribution cabinet structure recorded data, the nuclear power distribution cabinet part mechanical property recorded data and the allowable stress calibration data, and a plurality of mechanical property adjustment models are trained. Furthermore, a plurality of mechanical property adjusting models are utilized to obtain a plurality of groups of loss data, wherein the loss data is data which cannot be fitted or accurately output all the time after model training. Since the loss data contains certain information, when the loss data is discarded, the output result of the model may be poor when the model is in the same condition as the loss data. And further performing output weight distribution on the plurality of mechanical property adjustment models according to the plurality of groups of loss data to generate an output weight distribution result, namely acquiring the data volume ratio of each model to the loss data output, wherein the weight is lower when the data volume of the loss data output is larger. Inputting the first mechanical performance analysis result of the part assembly structure parameters into the multiple mechanical performance adjustment models, outputting multiple groups of allowable stress evaluation results, processing the multiple groups of allowable stress evaluation results according to the output weight distribution result to generate a second mechanical performance analysis result, when the multiple groups of allowable stress evaluation results are processed, when the multiple models output allowable stress at the same position, obtaining a weighted average according to the weight of each model, and if only a single allowable stress exists, directly generating the second mechanical performance analysis result. The accuracy and comprehensiveness of allowable stress analysis are improved by setting a plurality of mechanical property adjusting models.
The method S60 provided in the embodiment of the present application further includes:
s61: obtaining a plurality of part quality parameters and power distribution cabinet assembly environment parameters;
s62: performing conventional stress statistics according to the quality parameters of the 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 a horizontal acceleration and a 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 power distribution cabinet assembly environment parameters are obtained, wherein the part quality parameters are standard quality parameters of parts when leaving a factory, and the power distribution cabinet assembly environment parameters are environment parameters 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 acquired at the moment is the stress information of the power distribution cabinet in a normal state. And then, acquiring the mth seismic grade vibration acceleration according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table, wherein m is seismic grade data. Wherein the m-th seismic level vibratory acceleration comprises 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 stressed horizontal characteristic value according to the horizontal acceleration, adjusting the conventional stressed vertical characteristic value according to the vertical acceleration, namely superposing the horizontal force generated by the earthquake on the basis of the decomposed conventional stressed horizontal characteristic value to finish the adjustment of the conventional stressed horizontal characteristic value, superposing the force in the vertical direction generated by the earthquake on the basis of the decomposed conventional stressed vertical characteristic value to finish the adjustment of the conventional stressed vertical characteristic value, and generating the load threshold gradient table.
The method S70 provided in the embodiment of the present application further includes:
s71: inputting the second mechanical performance analysis result into the load threshold gradient table, and judging whether allowable stress meets all load thresholds of the load threshold gradient table;
s72: if yes, generating a qualified identification of the anti-seismic structure, and adding the identification into the analysis result of the anti-seismic structure;
s73: if not, outputting allowable stress defect positions;
s74: optimizing one or more of a material parameter of the part at the defect position, a size parameter of the part at the defect position and a structural parameter of the defect position 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 performance 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, the allowable stress of each part meets all load thresholds in the load threshold gradient table, an anti-seismic structure qualified identifier is generated, and the anti-seismic structure qualified identifier is added into the anti-seismic structure analysis result. If the allowable stress is not met, outputting the position with the defect corresponding to the allowable stress, and optimizing one or more of the material parameter, the size parameter and the structural parameter of the part at the defect position 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 in the embodiment of the present application further includes:
s741: setting a first adjusting probability for the material parameters of the parts at the defect positions, setting a second adjusting probability for the size parameters of the parts at the defect positions, and setting a third adjusting probability for the structural parameters at the defect positions, wherein the first adjusting probability is greater than the second adjusting probability and the third adjusting probability;
s742: adjusting material parameters of the part at the defect position for a first preset time, and judging whether the material parameters meet the load threshold gradiometer or not;
s743: if not, adjusting the material parameters of the parts at the defect positions and the size parameters of the parts at the defect positions for a second preset time according to the first adjustment probability and the second adjustment probability, 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, adjusting the material parameters of the defective position parts, the size parameters of the defective position parts and the structural parameters of the defective position parts for a second preset time, and judging whether the load threshold gradient table is met;
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 a material parameter of a defective position part, a second adjustment probability is set for a size parameter of the defective position part, and a third adjustment probability is set for a structural parameter of the defective 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 high, 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 material parameters meet the load threshold gradient table, namely adjusting the material parameters according to the first preset time and then judging whether the adjusted data meet the load threshold gradient table. And if not, adjusting the material parameter of the part at the defect position and the size parameter of the part at the defect position by a second preset time according to the first adjustment probability and the second adjustment probability, namely, after adjusting the material parameter by combining the material parameter of the part at the defect position and the size parameter of the part at the defect position by the second preset time, judging whether the adjusted data meets the load threshold gradient table. And if not, adjusting 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 by combining a second preset time according to the first adjustment probability, the second adjustment probability and the third adjustment probability, and judging whether the load threshold gradient table is met. And outputting an optimization result when the defect position is met, if the defect position is not met, adjusting the parameters, which cannot meet the requirement of the load threshold gradient table, indicating that the structure is possibly abnormal, generating an optimization abnormal instruction, and sending the optimization abnormal instruction to a management terminal to complete the adjustment and optimization of the defect position.
In summary, the method provided by the embodiment of the present application obtains the part material parameter, the part geometric parameter, the part assembly position parameter, and the part assembly posture parameter. And analyzing the mechanical properties of the parts according to the material parameters and the geometric parameters of the parts to generate a first mechanical property analysis result. And acquiring the parameters of the part assembling structure according to the parameters of the part assembling position and the parameters of the part assembling posture. And carrying out allowable stress evaluation according to the part assembling structure parameters and the first mechanical performance analysis result to generate a second mechanical performance analysis result. And acquiring a seismic response spectrum, and extracting a seismic 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 to generate a load threshold gradient table. And inputting the second mechanical performance analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result. Due to the adoption of the mechanical property analysis mode, the efficiency of obtaining the mechanical property inside the structure is higher than that of a sample modeling mode, and meanwhile, a complex anti-seismic analysis model does not need to be constructed, so that the cost of the analysis process is reduced. The technical problems of low analysis efficiency and high analysis cost of the anti-seismic structure analysis of the nuclear power distribution cabinet in the prior art are solved. The intelligent and accurate analysis of the anti-seismic structure of the nuclear power distribution cabinet is realized, the analysis efficiency of the anti-seismic structure analysis of the nuclear power distribution cabinet is improved, and the analysis cost of the anti-seismic structure analysis of the nuclear power distribution cabinet is reduced.
Example two
Based on the same inventive concept as the method for analyzing the anti-seismic structure of the nuclear power distribution cabinet in the foregoing embodiment, as shown in fig. 4, the present application provides an anti-seismic structure analysis system for the nuclear power distribution cabinet, the system including:
the nuclear power distribution cabinet component level splitting system comprises a parameter obtaining module 11, a component level splitting module and a component level splitting module, wherein the parameter obtaining module is used for carrying out component level splitting on a nuclear power distribution cabinet and generating a plurality of pieces of component basic information, and the plurality of pieces of component basic information comprise component material parameters, component geometric parameters, component assembly position parameters and component assembly posture parameters;
the first mechanical property analysis module 12 is used for analyzing the mechanical properties of the parts according to the part material parameters and the part geometric 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 used for performing allowable stress evaluation according to the part assembly structure parameters and the first mechanical performance analysis result to 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;
a load threshold gradient table obtaining module 16, configured to perform load analysis according to the seismic grade gradient table and the power distribution cabinet vibration acceleration gradient table, and generate a load threshold gradient table;
and the earthquake-resistant structure analysis module 17 is used for inputting the second mechanical performance 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 property analysis index, wherein the first mechanical property analysis index comprises an elastic modulus, a Poisson's ratio, a yield limit and a strength limit;
setting the part material parameters and the part geometric parameters as data index conditions, and setting the elastic modulus, the Poisson's ratio, the yield limit and the strength limit as data index dimensions;
collecting a plurality of groups of mechanical property analysis records according to the data index conditions and the data index dimensions;
and performing frequent item mining on the multiple groups of mechanical property analysis records to generate a first mechanical property analysis result.
Further, the first mechanical property analysis module 12 is further configured to:
acquiring the mechanical property analysis record of the nth part according to the multiple groups of mechanical property analysis records;
acquiring a trigger frequency ratio threshold;
according to the triggering frequency ratio threshold value, 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 records;
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 for feature fusion to generate 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's ratio evaluation value, the n-th part yield limit evaluation value and the n-th part strength limit evaluation value into the first mechanical property 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 ratio to generate a weight distribution result;
traversing the weight distribution result, and respectively performing 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:
collecting nuclear power distribution cabinet structure recording data, nuclear power distribution cabinet part mechanical property recording 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 plurality of mechanical property adjustment models;
carrying out output weight distribution on the plurality of mechanical property adjustment models according to the plurality of 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 multiple mechanical property adjustment models, and outputting multiple 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 a second mechanical performance analysis result.
Further, the load threshold gradient table obtaining module 16 is further configured to:
obtaining a plurality of part quality parameters and power distribution cabinet assembly environment parameters;
performing conventional stress statistics according to the quality parameters of the 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 a horizontal acceleration and a 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 stress horizontal characteristic value according to the horizontal acceleration, and adjusting the conventional stress 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 performance analysis result into the load threshold gradient table, and judging whether allowable stress meets all load thresholds of the load threshold gradient table;
if so, generating a qualified identification of the anti-seismic structure, and adding the identification into the analysis result of the anti-seismic structure;
if not, outputting allowable stress defect positions;
optimizing one or more of a material parameter of the part at the defect position, a size parameter of the part at the defect position and a structural parameter of the defect position 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 adjusting probability for the material parameters of the parts at the defect positions, setting a second adjusting probability for the size parameters of the parts at the defect positions, and setting a third adjusting probability for the structural parameters at the defect positions, wherein the first adjusting probability is greater than the second adjusting probability and the third adjusting probability;
adjusting material parameters of the parts at the defect positions for a first preset number of times, and judging whether the material parameters meet the load threshold gradient table or not;
if not, adjusting the material parameter of the defective position part and the size parameter of the defective position part by a second preset time according to the first adjustment probability and the second adjustment probability, 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, adjusting the material parameters of the defective position parts, the size parameters of the defective position parts and the structural parameters of the defective position parts for a second preset time, and judging whether the load threshold gradient table is met;
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 both the execution principle and the execution basis can be obtained through the content recorded in the first embodiment, which is not described herein again. Although the present application has been described in connection with particular 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 can make various changes and modifications to the present application without departing from the scope of the present application, and the content thus obtained also falls within the scope of protection of the present application.
Claims (9)
1. The utility model provides a antidetonation structural analysis method for nuclear power switch board which characterized in that includes:
the method comprises the steps of carrying out component level splitting on a nuclear power distribution cabinet to generate a plurality of pieces of basic information, wherein the plurality of pieces of basic information comprise piece material parameters, piece geometric parameters, piece assembly position parameters and piece assembly posture parameters;
analyzing the mechanical properties of the parts according to the material parameters and the geometric parameters of the parts to generate a first mechanical property analysis result;
acquiring a component assembling structure parameter according to the component assembling position parameter and the component assembling posture parameter;
performing allowable stress evaluation according to the part assembling structure parameters and the first mechanical performance analysis result to generate a second mechanical performance analysis result;
acquiring a seismic response spectrum, and extracting a seismic 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 performance analysis result into the load threshold gradient table to generate an earthquake-resistant structure analysis result.
2. The method of claim 1, wherein the performing a mechanical property analysis on the plurality of parts based on the part material parameters and the part geometry parameters to generate a first mechanical property analysis result comprises:
obtaining a first mechanical property analysis index, wherein the first mechanical property analysis index comprises an elastic modulus, a Poisson ratio, a yield limit and a strength limit;
setting the part material parameters and the part geometric parameters as data index conditions, and setting the elastic modulus, the Poisson's ratio, the yield limit and the strength limit as data index dimensions;
collecting a plurality of groups of mechanical property analysis records according to the data index conditions and the data index dimensions;
and performing frequent item mining on the multiple groups of mechanical property analysis records to generate a first mechanical property analysis result.
3. The method of claim 2, wherein the frequent item mining of the plurality of sets of mechanical property analysis records to generate the first mechanical property analysis result comprises:
acquiring a mechanical property analysis record of the nth part according to the multiple groups of mechanical property analysis records;
acquiring a trigger frequency ratio threshold;
according to the triggering frequency ratio threshold value, 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 records;
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 for feature fusion to generate 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's ratio evaluation value, the n-th part yield limit evaluation value and the n-th part strength limit evaluation value into the first mechanical property analysis result.
4. The method of claim 3, wherein said traversing said n-th part elastic modulus frequent itemset, said n-th part Poisson's ratio frequent itemset, said n-th part yield limit frequent itemset, and said n-th part strength limit frequent itemset for feature fusion to generate an n-th part elastic modulus evaluation value, an n-th part Poisson's ratio evaluation value, an n-th part yield limit evaluation value, and an n-th part strength limit evaluation value comprises:
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 ratio to generate a weight distribution result;
traversing the weight distribution result, and respectively performing 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.
5. The method of claim 1, wherein the performing an allowable stress assessment based on the part assembly configuration parameters and the first mechanical property analysis results to generate second mechanical property analysis results comprises:
collecting nuclear power distribution cabinet structure recording data, nuclear power distribution cabinet part mechanical property recording 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 plurality of mechanical property adjustment models;
carrying out output weight distribution on the plurality of mechanical property adjustment models according to the plurality of groups of loss data to generate an output weight distribution result;
inputting the first mechanical property analysis result of the part assembly structure parameters into the plurality of 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 a second mechanical performance analysis result.
6. The method of claim 1, wherein the performing a load analysis based on the seismic grade gradient table and the cabinet vibration acceleration gradient table to generate a load threshold gradient table comprises:
obtaining a plurality of part quality parameters and power distribution cabinet assembly environment parameters;
performing conventional stress statistics according to the quality parameters of the 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 earthquake grade vibration acceleration according to the earthquake grade gradient table and the power distribution cabinet vibration acceleration gradient table, wherein the mth earthquake grade vibration acceleration comprises a horizontal acceleration and a 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.
7. The method of claim 1, wherein said inputting said second mechanical property analysis into said load threshold gradient table to generate a seismic structure analysis result comprises:
inputting the second mechanical performance analysis result into the load threshold gradient table, and judging whether allowable stress meets all load thresholds of the load threshold gradient table;
if so, generating a qualified identification of the anti-seismic structure, and adding the identification into the analysis result of the anti-seismic structure;
if not, outputting allowable stress defect positions;
optimizing one or more of a material parameter of the part at the defect position, a size parameter of the part at the defect position and a structural parameter of the defect position 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.
8. The method of claim 7, wherein optimizing one or more of a defect location part material parameter, a defect location part dimensional parameter, and a defect location structure parameter based on the allowable stress defect locations to generate a defect location optimization result comprises:
setting a first adjusting probability for the material parameters of the parts at the defect positions, setting a second adjusting probability for the size parameters of the parts at the defect positions, and setting a third adjusting probability for the structural parameters at the defect positions, wherein the first adjusting probability is greater than the second adjusting probability and the third adjusting probability;
adjusting material parameters of the parts at the defect positions for a first preset number of times, and judging whether the material parameters meet the load threshold gradient table or not;
if not, adjusting the material parameter of the defective position part and the size parameter of the defective position part by a second preset time according to the first adjustment probability and the second adjustment probability, 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, adjusting the material parameters of the defective position parts, the size parameters of the defective position parts and the structural parameters of the defective position parts for a second preset time, and judging whether the load threshold gradient table is met;
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.
9. The utility model provides an antidetonation structural analysis system for nuclear power switch board which characterized in that includes:
the nuclear power distribution cabinet component level splitting system comprises a parameter acquisition module, a component level splitting module and a component level splitting module, wherein the parameter acquisition module is used for carrying out component level splitting on a nuclear power distribution cabinet and generating a plurality of pieces of component basic information, and the plurality of pieces of component basic information comprise component material parameters, component geometric parameters, component assembly position parameters and component assembly posture parameters;
the first mechanical property analysis module is used for analyzing the mechanical properties of the parts according to the part material parameters and the part geometric parameters to generate a first mechanical property analysis result;
the assembly structure parameter acquisition module is used for acquiring the component assembly structure parameters according to the component assembly position parameters and the component assembly posture parameters;
the second mechanical performance analysis module is used for carrying out allowable stress evaluation according to the part assembly structure parameters and the first mechanical performance analysis result to generate a second mechanical performance 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 performance analysis result into the load threshold gradiometer to generate an earthquake-resistant structure analysis result.
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