CN117828912A - Material parameter correction method and device, electronic equipment and storage medium - Google Patents
Material parameter correction method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a material parameter correction method, a device, electronic equipment and a storage medium, wherein the method comprises the steps of acquiring measured mechanical index data of an engine at a test temperature under the condition that the test temperature of the engine of a solid rocket reaches a preset temperature threshold value, and acquiring various material parameter sets of the engine at the test temperature; performing response calculation of mechanical index data of the engine according to each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set; and correcting each material parameter set according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to the test temperature. The method and the device realize real-time correction of the material parameters of the preset temperature points, the corrected material parameters are more accurate, and theoretical mechanical index data calculated based on the material parameters are closer to actual measurement mechanical index data.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and apparatus for correcting a material parameter, an electronic device, and a storage medium.
Background
When the solid rocket engine is self-produced, the solid rocket engine can undergo the processes of forming solid grains by chemical vulcanization of fluid slurry and producing mechanical deformation of the solid grains by physical cooling, and the process is also a first sequential load affecting the structural integrity, storage reliability and flight safety of the solid rocket engine. During the long-term storage and combat readiness process of the engine, the structure of the engine is gradually deteriorated due to the aging damage of the solid propellant and the nonmetallic materials of the heat insulation layer/lining layer and the complex environmental load working conditions such as continuous cooling and alternating temperature which can be born by the solid propellant and the nonmetallic materials of the heat insulation layer/lining layer.
The material parameters are critical to the analysis of the internal structure of the engine grain, and the test of the material parameters is performed at present by simply stretching the test piece, so that the material parameters are inaccurate, the damage caused by large strain is changed in the temperature changing process, the structural integrity calculation is performed by adopting the material parameters obtained by simple test, and the obtained result has a larger difference from the real response.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus, an electronic device and a storage medium for correcting material parameters, which are used for solving the problem of inaccurate material parameter acquisition in the prior art.
In a first aspect, an embodiment of the present invention provides a method for correcting a material parameter, where the method includes:
under the condition that the test temperature of the engine of the solid rocket reaches a preset temperature threshold value, acquiring actually measured mechanical index data of the engine at the test temperature, and acquiring each material parameter set of the engine at the test temperature;
performing response calculation of mechanical index data of the engine according to each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set;
and correcting each material parameter set according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to the test temperature.
In a second aspect, an embodiment of the present invention further provides a device for correcting a material parameter, where the device includes:
the system comprises an actually measured mechanical index data acquisition module, a control module and a control module, wherein the actually measured mechanical index data acquisition module is used for acquiring actually measured mechanical index data of an engine at a test temperature under the condition that the test temperature of the engine of a solid rocket reaches a preset temperature threshold value and acquiring each material parameter set of the engine at the test temperature;
the theoretical mechanical index data acquisition module is used for carrying out response calculation on mechanical index data of the engine according to each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set;
And the correction module is used for correcting each material parameter set according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to the test temperature.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement a method of modifying a material parameter as in any of the embodiments of the invention.
In a fourth aspect, embodiments of the present invention also provide a storage medium containing computer-executable instructions which, when executed by a computer processor, are used to perform a method of modifying a material parameter as in any of the embodiments of the present invention.
According to the technical scheme, under the condition that the test temperature of the solid rocket engine reaches the preset temperature threshold value, actually measured mechanical index data of the engine at the test temperature are obtained, material parameter sets of the engine at the test temperature are obtained, response calculation of the mechanical index data of the engine is carried out according to the material parameter sets, theoretical mechanical index data corresponding to the material parameters are obtained, and according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to the material parameter sets, the material parameter sets are corrected, so that target material parameter sets corresponding to the test temperature are obtained. By adopting the material parameter correction method, the material parameters of the preset temperature point are corrected in real time, the corrected material parameters are more accurate, and the theoretical mechanical index data calculated based on the material parameters are closer to the actually measured mechanical index data.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Wherein:
FIG. 1 is a flow chart of a method for modifying a material parameter in one embodiment;
FIG. 2 is a schematic diagram of a test temperature in one embodiment;
FIG. 3 is a flow chart of a method of modifying a material parameter in one embodiment;
FIG. 4 is a schematic diagram of a sensor arrangement of an engine in one embodiment;
FIG. 5 is a schematic diagram of a sensor arrangement of an engine in one embodiment;
FIG. 6 is a schematic diagram of a device for correcting material parameters according to one embodiment;
fig. 7 is a schematic structural diagram of an electronic device in one embodiment.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Before describing the technical scheme of the embodiment of the present invention, first, an application scenario of the embodiment of the present invention is described in an exemplary manner:
when the solid rocket engine (solid rocket motor, SRM) is produced, the solid rocket engine is subjected to chemical vulcanization to form a solid grain by the fluid state slurry, and the solid grain is subjected to physical cooling to generate mechanical deformation, which is also a first sequential load affecting the structural integrity, storage reliability and flight safety of the solid rocket engine. During the long-term storage and combat readiness process of the engine, the structure of the engine is gradually deteriorated due to the aging damage of the solid propellant and the nonmetallic materials of the heat insulation layer/lining layer and the complex environmental load working conditions such as continuous cooling and alternating temperature which can be born by the solid propellant and the nonmetallic materials of the heat insulation layer/lining layer.
Because the solid rocket engine grain is a complex viscoelastic material, particularly when the solid rocket engine grain passes through temperature circulation, partial material parameters send nonlinear changes along with the temperature change of the engine and the deformation of the grain, and the current experimental mode of the material parameters cannot reflect the change of the material parameters due to the damage possibly generated by the occurrence of large strain in the temperature change process. Resulting in a large gap between the material parameters and the true response in performing the structural integrity calculations.
In view of this, the embodiment of the invention provides a method for correcting material parameters, which corrects each material parameter set according to measured mechanical index data and theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to a test temperature. The material parameter correction method improves the accuracy of the material parameter.
In an embodiment, the embodiment of the invention provides a method for correcting a material parameter, which is suitable for correcting the material parameter at different test temperatures. The means for modifying the material parameters may be implemented in software and/or hardware.
As shown in fig. 1, the method for correcting material parameters according to the embodiment of the present invention specifically includes the following steps:
s110, under the condition that the test temperature of the engine of the solid rocket reaches a preset temperature threshold, acquiring the measured mechanical index data of the engine at the test temperature, and acquiring each material parameter set of the engine at the test temperature.
The test temperature refers to the temperature when the engine of the solid rocket is subjected to temperature rise/fall test. The mechanical index data includes stress strain data. The actual measurement mechanical index data is stress-strain data obtained by actual measurement calculation. The material parameters include modulus of the engine grain of the engine, poisson's ratio, etc. Each material parameter set includes material parameters of a plurality of parameter types. The number of parameter types is the same for each material parameter set, but the material parameters are different for each parameter type, e.g., the material parameter set includes two, the material parameter set a includes a modulus a1 and poisson ratio B1, and the material parameter set B includes a modulus a2 and poisson ratio B2. It should be noted that, when the acquisition is performed for the first time, each acquired material parameter set is acquired based on a preset range of each parameter type. The following material parameter sets may be obtained according to the corrected material parameters, and a specific obtaining manner will be explained in detail in the following content, which is not described herein.
Specifically, under the condition that the test temperature of the engine of the solid rocket reaches a preset temperature threshold value, the actually measured mechanical index data of the engine at the test temperature is obtained. The measured mechanical index data can be obtained through a sensor. And acquiring each material parameter set of the engine at the test temperature, and preparing for correction of the subsequent material parameters.
Optionally, the material parameters required by calculation are numerous in types, the influence degree of different material parameters on the calculation response of the structure is different, and the correction efficiency can be greatly improved by selecting proper material parameters for correction, so that the accuracy of the corrected material parameters is ensured, and the simulated engine model is further improved to be closer to an actual engine. It is therefore necessary to select appropriate material parameters in the correction. And carrying out sensitivity analysis on the corrected engine model, and reserving a preset number of material parameters with relatively high sensitivity in the material parameters. A material parameter with a relatively high sensitivity means that the material parameter has a greater influence on the structure for the same amount of variation than other material parameters. Specifically, before the obtaining each material parameter set of the engine at the test temperature, the method further includes: performing sensitivity calculation on each material parameter of the engine to obtain a plurality of material parameters meeting preset sensitivity conditions and parameter types of the material parameters; and uniformly designing a plurality of material parameters to obtain each material parameter set.
In the embodiment of the invention, for each material parameter set acquired for the first time, a plurality of material parameters meeting the sensitivity condition and the parameter types of the material parameters are obtained by performing sensitivity calculation on each material parameter of the engine, and the material parameters are uniformly designed according to the preset parameter ranges of the material parameters to obtain each material parameter set. If the predicted temperature threshold includes a plurality of predicted temperature thresholds, when the test temperature reaches the first predicted temperature threshold, acquiring each material parameter set obtained through sensitivity and uniform design, and when the subsequent test temperature reaches the preset temperature threshold, acquiring each material parameter set as follows: when the previous test temperature reaches a preset temperature threshold, the obtained target material parameter set and the preset parameter range of each target material parameter in the target material parameter set are subjected to uniform design again to obtain each material parameter set.
The uniform design only considers the principle that the test points are uniformly distributed in the test range to select the test representative points, so that the test points are ensured to have uniformly distributed statistical properties in the test range, and each horizontal value is subjected to one test and only one test. The material parameters are m, namely m parameter types, each material parameter is divided into n levels under the empirical reference, and n is divided into n levels by a uniform design mode m The group material parameters are reduced to n groups of material parameters, i.e., n sets of material parameters, forming a uniform design table. In an embodiment of the present invention, n material parameter sets, each of which includes m material parameters.
Illustratively, the material parameter set includes two, a material parameter set a and a material parameter set B, the material parameter set a includes a modulus a1 and a poisson ratio B1, and the material parameter set B includes a modulus a2 and a poisson ratio B2. When the test temperature reaches a first preset temperature threshold, a target material parameter set C obtained for the two material parameter sets comprises a modulus a3 and a Poisson ratio b3. When the test temperature reaches a second preset temperature threshold, carrying out uniform design based on a target material parameter set to obtain two material parameter sets, wherein the material parameter set D and the material parameter set F comprise a modulus a4 and a Poisson ratio b4, and the material parameter set F comprises a modulus a5 and a Poisson ratio b5. The number of material parameter sets obtained by each uniform design is the same.
And S120, performing response calculation on mechanical index data of the engine according to each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set.
The theoretical mechanical index data refers to a theoretical value of stress strain obtained based on response calculation of material parameters.
Specifically, response calculation of mechanical index data is performed on material parameters in each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set, so that preparation work is performed for subsequent processing of the theoretical mechanical index data and the actually measured mechanical index data.
S130, correcting each material parameter set according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to the test temperature.
Specifically, according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set, each material parameter set is corrected, and one target material parameter set corresponding to the test temperature is obtained. For example, the material parameter sets include a plurality of material parameters, and each material parameter of the same parameter type in each material parameter set is corrected according to the parameter type to obtain a target material parameter corresponding to each parameter type, so as to obtain the target material parameter set.
According to the technical scheme, under the condition that the test temperature of the solid rocket engine reaches the preset temperature threshold value, actually measured mechanical index data of the engine at the test temperature are obtained, material parameter sets of the engine at the test temperature are obtained, response calculation of the mechanical index data of the engine is carried out according to the material parameter sets, theoretical mechanical index data corresponding to the material parameters are obtained, and according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to the material parameter sets, the material parameter sets are corrected, so that target material parameter sets corresponding to the test temperature are obtained. By adopting the material parameter correction method, the material parameters of the preset temperature point are corrected in real time, the corrected material parameters are more accurate, and the theoretical mechanical index data calculated based on the material parameters are closer to the actually measured mechanical index data.
In another embodiment of the present invention, the correcting each material parameter set according to the measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain the target material parameter set corresponding to the test temperature includes: based on theoretical mechanical index data and actual mechanical index data corresponding to each material parameter set, carrying out parameter correction on each material parameter set in an iterative correction mode to obtain corrected material parameter sets corresponding to each material parameter set; and obtaining a target material parameter set corresponding to the test temperature based on each corrected material parameter set.
The iterative correction method includes, but is not limited to, genetic algorithm, artificial fish swarm algorithm, particle swarm algorithm, annealing algorithm, firefly algorithm and the like.
Specifically, the theoretical mechanical index data corresponding to each material parameter in each material parameter set and the actually measured mechanical index data corresponding to the current test temperature are corrected in an iterative correction mode, the material parameters in each material parameter set are corrected, corrected material parameter sets corresponding to each material parameter set are obtained, and a target material parameter set corresponding to the test temperature is obtained based on each corrected material parameter set. For example, the material parameters are corrected according to the error value of the measured mechanical index data and the theoretical mechanical index data. The technical scheme of the embodiment of the invention realizes the correction of each material parameter set, obtains the target material parameter set and improves the accuracy of the target material parameter set.
In another embodiment of the present invention, the parameter types in each of the material parameter sets are the same; the obtaining a target material parameter set corresponding to the test temperature based on each corrected material parameter set comprises the following steps: and carrying out average value calculation on each material parameter with the same parameter type in each corrected material parameter set to obtain a target material parameter corresponding to each parameter type so as to obtain a target material parameter set corresponding to the test temperature.
In the embodiment of the invention, the average value calculation is carried out on each material parameter with the same parameter type in each corrected material parameter set to obtain the target material parameter corresponding to each parameter type, and then the target material parameter set corresponding to the test temperature is obtained based on each target material parameter. According to the scheme provided by the embodiment of the invention, the material parameters in the target material parameter set can be more accurate.
In another embodiment of the present invention, the performing parameter correction on each material parameter set by adopting an iterative correction method based on theoretical mechanical index data and measured mechanical index data corresponding to each material parameter set to obtain corrected material parameter sets corresponding to each material parameter set specifically includes: sequentially determining each material parameter set as a material parameter set to be corrected; determining a material parameter set except the current material parameter set to be corrected as a current non-corrected material parameter set based on the current material parameter set to be corrected; updating the current material parameter set to be corrected in a cyclic updating mode based on a first objective function value corresponding to the current material parameter set to be corrected and a second objective function value corresponding to the current material parameter set not to be corrected, so as to obtain an updated material parameter set corresponding to the current material parameter set to be corrected under the current iterative correction number; until updated material parameter sets corresponding to the material parameter sets under the current correction wheel number are obtained; judging whether a preset iteration correction stopping condition is met or not; obtaining each of the corrected material parameter sets based on each of the updated material parameter sets when the iterative correction stop condition is satisfied; and when the iteration correction stopping condition is not met, carrying out next iteration correction based on each updated material parameter set.
The objective function value is obtained according to theoretical mechanical index data corresponding to the material parameter and actual mechanical index data obtained by the current test temperature, for example, the objective function value is an error. The first objective function value refers to an objective function value corresponding to the current material parameter set to be corrected, and the second objective function value refers to an objective function value corresponding to the current material parameter set not to be corrected. It should be appreciated that the material parameter set includes a plurality and the current non-revised material parameter set includes a plurality. The iterative correction stop condition may mean that the average value of the material parameters of each parameter type satisfies a preset average value condition, or the distance between the maximum value and the minimum value of the material parameters of each parameter type satisfies a preset distance condition, or the like, in each updated material parameter set.
In the embodiment of the invention, each material parameter set is sequentially determined as a material parameter set to be corrected, and other material parameter sets to be corrected except the current material parameter set to be corrected are determined as current non-corrected material parameter sets. And updating the current material parameter set to be corrected in a cyclic updating mode based on the first objective function value corresponding to the current material parameter set to be corrected and the second objective function value corresponding to the current non-corrected material parameter set to obtain an updated material parameter set corresponding to the current material parameter set to be corrected in the current iterative correction round number until the updated material parameter set corresponding to each material parameter set in the current correction round number is obtained. That is, according to the first objective function value corresponding to the current material parameter set to be corrected and the second objective function value corresponding to the current non-corrected material parameter, correcting the current material parameter set to be corrected to obtain updated material parameter sets of the current material parameter set to be corrected, and obtaining updated material parameter sets of each material parameter set to be corrected under the current correction number of wheels. And if the current updating material parameter set in the number of the correction rounds meets the iteration correction stop condition, taking the updating material parameter set as the correction material parameter set, and if the current updating material parameter set in the number of the correction rounds does not meet the iteration correction stop condition, taking the updating material parameter set as the material parameter set to be corrected, and carrying out next round of iteration correction.
For example, there are 5 material parameter sets in total, and for each material parameter set to be determined as a material parameter set to be corrected, the first material parameter set to be corrected to the fifth material parameter set to be corrected are sequentially. And then, correcting each material parameter set to be corrected in sequence, taking the first material parameter set to be corrected as the current material parameter set to be corrected, and taking the other four material parameter sets to be corrected as the current material parameter set not to be corrected. And after the first material parameter set to be corrected is corrected, obtaining an updated material parameter set corresponding to the first material parameter set to be corrected. And then taking the second material parameter set to be corrected as a current material parameter set to be corrected, and taking the other four material parameter sets to be corrected as current material parameter sets not to be corrected, wherein the four material parameter sets to be corrected comprise updated material parameter sets corresponding to the first material parameter set to be corrected and the other three material parameter sets to be corrected, so that the second material parameter set to be corrected is corrected, and the updated material parameter sets corresponding to the second material parameter set to be corrected are obtained. And sequentially obtaining updated material parameter sets corresponding to each material parameter set to be corrected, completing one iteration, obtaining each corrected material parameter set based on each updated material parameter set under the condition that the iteration correction stopping condition is met, and carrying out the next iteration correction based on each updated material parameter set if the updated material parameter set is not met.
In another embodiment of the present invention, the updating the current material parameter set to be corrected by using a cyclic updating manner based on the first objective function value corresponding to the current material parameter set to be corrected and the second objective function value corresponding to the current non-corrected material parameter set to obtain an updated material parameter set corresponding to the current material parameter set to be corrected in the current iterative correction number of rounds includes: calculating to obtain a first objective function value corresponding to the current material parameter set to be corrected and a second objective function value corresponding to each current non-corrected material parameter set based on theoretical mechanical index data corresponding to the current material parameter set to be corrected, theoretical mechanical index data corresponding to each current non-corrected material parameter set and the actually measured mechanical index data respectively; comparing the first objective function value with any second objective function value in sequence, and determining whether an updating condition is met, so that under the condition that the updating condition is met, the current material parameter set to be corrected is updated based on the current non-corrected material parameter set corresponding to the current second objective function value, an updated material parameter set is obtained, and the first objective function value for carrying out the next round of comparison is recalculated based on the updated material parameter set; and until the first objective function value is compared with any second objective function value, obtaining an updated material parameter set corresponding to the current material parameter to be corrected.
And if the first objective function value is larger than the second objective function value, updating the current material parameter set to be corrected based on the current non-corrected material parameter set corresponding to the current second objective function value to obtain an updated material parameter set.
Specifically, based on theoretical mechanical index data corresponding to the current material parameter set to be corrected, theoretical mechanical index data corresponding to each current non-corrected material parameter set and actually measured mechanical index data, a first objective function value corresponding to the current material parameter set to be corrected and a second objective function value corresponding to each current non-corrected material parameter set are obtained through calculation. And comparing the first objective function value with each second objective function value in turn, determining whether an updating condition is met, and moving each material parameter to be corrected in the current material parameter set to the non-corrected material parameter of the same parameter type in the current non-corrected material parameter set corresponding to the current second objective function value under the condition that the updating condition is met. That is, based on the parameter type, each of the to-be-corrected material parameters in the current to-be-corrected material parameter set is moved to each of the corresponding non-corrected material parameters in the current non-corrected material parameter set. The manner of movement may refer to based on preset rules. For example, a preset distance threshold is moved, etc. If the updating condition is not met, the current material parameter set to be corrected is not processed, and the comparison of the first objective function value and the next second objective function value of the current material parameter set to be corrected is carried out. And until the first objective function value is compared with all the second objective function values, obtaining an updated material parameter set corresponding to the current material parameter set to be corrected.
In another embodiment of the present invention, a solid engine state monitoring and sensing system is first constructed, a cyclic temperature raising and lowering experiment is performed on the whole system, as shown in fig. 2, the whole temperature cycling process is dispersed into a plurality of test temperatures, whether the test temperatures reach a certain preset temperature threshold is judged, and under the condition that each test temperature reaches a certain preset temperature threshold, the measured mechanical index data of each point location is obtained according to the data obtained by the sensors of different point locations. And carrying out iterative correction on each material parameter set to obtain a corrected target material parameter set of each test temperature. And under the condition that the test temperature does not reach the preset temperature threshold, continuing to perform an experiment of heating or cooling. After the target material parameter set of the test temperature is obtained, judging whether the temperature raising or reducing experiment of the current solid engine is finished, if not, continuously judging whether the test temperature reaches the preset temperature threshold value, and if so, obtaining the target material parameter sets of a plurality of test temperatures, wherein the details are shown in fig. 3.
The material parameter set refers to that sensitivity analysis is carried out on all material parameters in the temperature cycle process, and a plurality of material parameters are obtained and used as the material parameters needing to be corrected. And uniformly designing the material parameters to obtain each material parameter set.
The iterative correction mode is firefly algorithm, and the ith material parameter set X in the uniform design table is assumed i ＝(x 1i ，x 2i ...，x di ) Represents the ith firefly as a d-dimensional array, where i=1, 2,3 …, N, where N represents the total number of uniformly designed material parameters. d denotes the d-th material parameter of a set of material parameters (i.e. a set of material parameters). For any two material parameter sets X i And X j (i+.j), j=1, 2,3 …, N. Euclidean distance r between the two ij The method comprises the following steps:
wherein the attraction factor beta between the two is as follows:
wherein beta is 0 Distance r for material parameter set ij Attractive force when=0, generally taken as 1; gamma is the attenuation coefficient, and is generally 0.01 to 100.
The iterative process:
first iteration: from a first material parameter set X 1 Initially, X is taken 1 In turn for other material parameters X i (i=2, 3., N) and X 1 Make the judgment, assume the material parameter X i The result of the calculation of (2) results in an objective function less than X 1 Description X i Has a higher fitness than X 1 Material parameter X 1 Will be X i The suction and update includes:
wherein: alpha is a step factor, and the value range is 0-1; epsilon is a d-dimensional random vector, d is an integer greater than zero, and the normal distribution N (0, 1) is obeyed. If X 1 Is currently best, then X 1 The pair performs random movement:
Wherein,the rest material parameter set X is obtained by the same method as the result of the 1 st iteration of the first material parameter set i 1 st iteration after (i=2, 3 …, N)>
Iteration 2: by the obtainedIterative correction is carried out as new material parameters to obtain
Nth iteration: obtaining
As the iteration proceeds, sets of material parameters (represented in the form of arrays) are aggregated in one direction, with smaller and smaller differences between arrays. When the iteration satisfiesAnd when the distance between the farthest two groups is smaller than the iteration threshold value, ending the iteration.
And after the iteration is finished, each obtained updated material parameter set carries out mean value calculation according to the parameter types to obtain corrected material parameters of each parameter type, and further a corrected material parameter set is obtained.
After the target material parameter set of the current test temperature is obtained, heating or cooling experiments are continued, when the test temperature reaches the next preset temperature threshold value, uniform design can be carried out through the obtained target material parameter set of the current test temperature, each material parameter set is obtained, and correction of each material parameter set of the next test temperature is carried out.
After the target material parameter set corresponding to the finally obtained test temperature is subjected to multiple heating or cooling cycles, the material parameter change in the same temperature range is larger, so that the damage caused by the circulating temperature load in the engine is illustrated, and the corrected material parameter is quite close to the actual measurement result of finite element calculation, and represents the actual material parameter in the current stage to a certain extent.
In another embodiment of the present invention, after obtaining the target material parameter set corresponding to each test temperature, the method further includes: and processing the target material parameter set based on a time-temperature equivalent principle to judge whether the engine is abnormal or not.
Specifically, through the target material parameter set obtained after the correction is completed, according to the time-temperature equivalent principle, the accurate material parameters of the solid rocket engine in the high strain rate working condition in the ignition and pressure building process can be correspondingly converted, and the service performance of the engine is judged through structural integrity analysis and calculation and strength criteria.
In another embodiment of the invention, the engine is a solid engine with a phi 200mm circular tube, the sensor is an adhesive interface stress sensor 02, and the flexible large-strain sensor 01 is arranged at the position shown in figures 4 and 5. The bonding interface stress sensor 02 is embedded between the interface of the heat insulating layer and the lining layer and mainly used for measuring the stress level in the solidification and cooling process; the flexible large strain sensor 01 is stuck on the surface of the inner hole and mainly measures the circumferential strain of the inner hole in the solidification and cooling processes. The flexible large-strain sensor and the bonding interface stress sensor 02 are respectively arranged in an axial direction by a group, and each group is circumferentially arranged by b groups. Fig. 5 is a cross section of the round tube solid engine perpendicular to the axial direction, and fig. 4 is a cross section of the round tube solid engine parallel to the axial direction. In fig. 5, the shell, the heat insulating layer and the lining layer are sequentially arranged from outside to inside.
And (5) temperature cycling experiment. Before casting, the bonding interface stress sensor 02 is arranged on the surface of the heat insulation layer according to a scheme, one group of bonding interface stress sensors are arranged at the root of the manual release layer, then vacuum casting is carried out, and after the casting is finished, the bonding interface stress sensor 02 is insulated for 7 days at 50 ℃ to be fully solidified. The highest temperature was set to 60℃and the lowest temperature was set to-42℃and the temperature cycle was performed according to FIG. 2. The data of each sensor was recorded every 6 c, thus setting the analysis step temperature change to 6 c.
In another embodiment of the present invention, a device for correcting a material parameter is provided, and fig. 6 is a schematic structural diagram of the device for correcting a material parameter provided in the embodiment of the present invention, where the device for correcting a material parameter provided in the embodiment of the present invention can execute the method for correcting a material parameter provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. The device comprises: the system comprises an actual measurement mechanical index data acquisition module 410, a theoretical mechanical index data acquisition module 420 and a correction module 430; wherein:
the actually measured mechanical index data acquisition module 410 is configured to acquire actually measured mechanical index data of the engine at the test temperature and acquire each material parameter set of the engine at the test temperature when the test temperature of the engine of the solid rocket reaches a preset temperature threshold; the theoretical mechanical index data obtaining module 420 is configured to perform response calculation on mechanical index data of the engine according to each material parameter set, so as to obtain theoretical mechanical index data corresponding to each material parameter set; and the correction module 430 is configured to correct each material parameter set according to the measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set, so as to obtain a target material parameter set corresponding to the test temperature.
Further, in the embodiment of the present invention, the correction module 430 is further configured to:
based on theoretical mechanical index data and actual mechanical index data corresponding to each material parameter set, carrying out parameter correction on each material parameter set in an iterative correction mode to obtain corrected material parameter sets corresponding to each material parameter set; and obtaining a target material parameter set corresponding to the test temperature based on each corrected material parameter set.
Further, in the embodiment of the present invention, the parameter types in each of the material parameter sets are the same; the correction module 430 is further configured to:
and carrying out average value calculation on each material parameter with the same parameter type in each corrected material parameter set to obtain a target material parameter corresponding to each parameter type so as to obtain a target material parameter set corresponding to the test temperature.
Further, in the embodiment of the present invention, the correction module 430 is further configured to:
sequentially determining each material parameter set as a material parameter set to be corrected; determining a material parameter set except the current material parameter set to be corrected as a current non-corrected material parameter set based on the current material parameter set to be corrected; updating the current material parameter set to be corrected in a cyclic updating mode based on a first objective function value corresponding to the current material parameter set to be corrected and a second objective function value corresponding to the current material parameter set not to be corrected, so as to obtain an updated material parameter set corresponding to the current material parameter set to be corrected under the current iterative correction number; until updated material parameter sets corresponding to the material parameter sets under the current correction wheel number are obtained; judging whether a preset iteration correction stopping condition is met or not; obtaining each of the corrected material parameter sets based on each of the updated material parameter sets when the iterative correction stop condition is satisfied; and when the iteration correction stopping condition is not met, carrying out next iteration correction based on each updated material parameter set.
Further, in the embodiment of the present invention, the correction module 430 is further configured to:
calculating to obtain a first objective function value corresponding to the current material parameter set to be corrected and a second objective function value corresponding to each current non-corrected material parameter set based on theoretical mechanical index data corresponding to the current material parameter set to be corrected, theoretical mechanical index data corresponding to each current non-corrected material parameter set and the actually measured mechanical index data respectively; comparing the first objective function value with any second objective function value in sequence, and determining whether an updating condition is met, so that under the condition that the updating condition is met, the current material parameter set to be corrected is updated based on the current non-corrected material parameter set corresponding to the current second objective function value, an updated material parameter set is obtained, and the first objective function value for carrying out the next round of comparison is recalculated based on the updated material parameter set; and until the first objective function value is compared with any second objective function value, obtaining an updated material parameter set corresponding to the current material parameter to be corrected.
Further, in an embodiment of the present invention, the apparatus further includes:
and the abnormality judging module is used for processing the target material parameter set based on a time-temperature equivalent principle so as to judge whether the engine is abnormal or not.
Further, in an embodiment of the present invention, the apparatus further includes:
the material parameter acquisition module is used for performing sensitivity calculation on each material parameter of the engine to obtain a plurality of material parameters meeting the preset sensitivity condition and the parameter types of the material parameters; and uniformly designing a plurality of material parameters to obtain each material parameter set.
According to the technical scheme, under the condition that the test temperature of the solid rocket engine reaches the preset temperature threshold value, actually measured mechanical index data of the engine at the test temperature are obtained, material parameter sets of the engine at the test temperature are obtained, response calculation of the mechanical index data of the engine is carried out according to the material parameter sets, theoretical mechanical index data corresponding to the material parameters are obtained, and according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to the material parameter sets, the material parameter sets are corrected, so that target material parameter sets corresponding to the test temperature are obtained. By adopting the material parameter correction method, the material parameters of the preset temperature point are corrected in real time, the corrected material parameters are more accurate, and the theoretical mechanical index data calculated based on the material parameters are closer to the actually measured mechanical index data.
It should be noted that each module included in the above apparatus is only divided according to the functional logic, but not limited to the above division, so long as the corresponding function can be implemented; in addition, the specific names of the functional modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the embodiments of the present invention.
In another embodiment of the invention, an electronic device is also provided. Fig. 7 shows a block diagram of an exemplary electronic device 50 suitable for use in implementing the embodiments of the present invention. The electronic device 50 shown in fig. 7 is only an example and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 7, the electronic device 50 is in the form of a general purpose computing device. Components of electronic device 50 may include, but are not limited to: one or more processors or processing units 501, a system memory 502, and a bus 503 that connects the various system components (including the system memory 502 and processing units 501).
Bus 503 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 50 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 50 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 502 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 504 and/or cache memory 505. Electronic device 50 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 506 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 7, commonly referred to as a "hard disk drive"). Although not shown in fig. 7, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In such cases, each drive may be coupled to bus 503 through one or more data medium interfaces. Memory 502 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 508 having a set (at least one) of program modules 507 may be stored, for example, in memory 502, such program modules 507 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 507 typically perform the functions and/or methods of the described embodiments of the invention.
The electronic device 50 may also communicate with one or more external devices 509 (e.g., keyboard, pointing device, display 510, etc.), one or more devices that enable a user to interact with the electronic device 50, and/or any device (e.g., network card, modem, etc.) that enables the electronic device 50 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 511. Also, the electronic device 50 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through a network adapter 512. As shown, the network adapter 512 communicates with other modules of the electronic device 50 over the bus 503. It should be appreciated that although not shown in fig. 7, other hardware and/or software modules may be used in connection with electronic device 50, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 501 executes various functional applications and data processing by running a program stored in the system memory 502, for example, to implement the method for correcting material parameters provided by the embodiment of the present invention.
In another embodiment of the present invention, there is also provided a storage medium containing computer-executable instructions for performing a method of modifying a material parameter when executed by a computer processor, the method comprising:
under the condition that the test temperature of the engine of the solid rocket reaches a preset temperature threshold value, acquiring actually measured mechanical index data of the engine at the test temperature, and acquiring each material parameter set of the engine at the test temperature; performing response calculation of mechanical index data of the engine according to each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set; and correcting each material parameter set according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to the test temperature.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The foregoing disclosure is illustrative of the present invention and is not to be construed as limiting the scope of the invention, which is defined by the appended claims.
Claims (10)
1. A method for modifying a material parameter, comprising:
under the condition that the test temperature of the engine of the solid rocket reaches a preset temperature threshold value, acquiring actually measured mechanical index data of the engine at the test temperature, and acquiring each material parameter set of the engine at the test temperature;
performing response calculation of mechanical index data of the engine according to each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set;
and correcting each material parameter set according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to the test temperature.
2. The method according to claim 1, wherein the correcting each material parameter set according to the measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain the target material parameter set corresponding to the test temperature includes:
Based on theoretical mechanical index data and actual mechanical index data corresponding to each material parameter set, carrying out parameter correction on each material parameter set in an iterative correction mode to obtain corrected material parameter sets corresponding to each material parameter set;
and obtaining a target material parameter set corresponding to the test temperature based on each corrected material parameter set.
3. The method of claim 2, wherein the parameter types in each of the material parameter sets are the same;
the obtaining a target material parameter set corresponding to the test temperature based on each corrected material parameter set comprises the following steps:
and carrying out average value calculation on each material parameter with the same parameter type in each corrected material parameter set to obtain a target material parameter corresponding to each parameter type so as to obtain a target material parameter set corresponding to the test temperature.
4. The method according to claim 3, wherein the performing parameter correction on each material parameter set by using an iterative correction method based on theoretical mechanical index data and measured mechanical index data corresponding to each material parameter set to obtain corrected material parameter sets corresponding to each material parameter set specifically includes:
Sequentially determining each material parameter set as a material parameter set to be corrected;
determining a material parameter set except the current material parameter set to be corrected as a current non-corrected material parameter set based on the current material parameter set to be corrected;
updating the current material parameter set to be corrected in a cyclic updating mode based on a first objective function value corresponding to the current material parameter set to be corrected and a second objective function value corresponding to the current material parameter set not to be corrected, so as to obtain an updated material parameter set corresponding to the current material parameter set to be corrected under the current iterative correction number; until updated material parameter sets corresponding to the material parameter sets under the current correction wheel number are obtained;
judging whether a preset iteration correction stopping condition is met or not; obtaining each of the corrected material parameter sets based on each of the updated material parameter sets when the iterative correction stop condition is satisfied; and when the iteration correction stopping condition is not met, carrying out next iteration correction based on each updated material parameter set.
5. The method according to claim 4, wherein updating the current material parameter set to be corrected by using a loop update method based on the first objective function value corresponding to the current material parameter set to be corrected and the second objective function value corresponding to the current material parameter set to be non-corrected, to obtain an updated material parameter set corresponding to the current material parameter set to be corrected in the current iteration correction number of rounds, includes:
Calculating to obtain a first objective function value corresponding to the current material parameter set to be corrected and a second objective function value corresponding to each current non-corrected material parameter set based on theoretical mechanical index data corresponding to the current material parameter set to be corrected, theoretical mechanical index data corresponding to each current non-corrected material parameter set and the actually measured mechanical index data respectively;
comparing the first objective function value with any second objective function value in sequence, and determining whether an updating condition is met, so that under the condition that the updating condition is met, the current material parameter set to be corrected is updated based on the current non-corrected material parameter set corresponding to the current second objective function value, an updated material parameter set is obtained, and the first objective function value for carrying out the next round of comparison is recalculated based on the updated material parameter set; and until the first objective function value is compared with any second objective function value, obtaining an updated material parameter set corresponding to the current material parameter to be corrected.
6. The method of claim 1, further comprising, after obtaining the target material parameter sets corresponding to each test temperature:
And processing the target material parameter set based on a time-temperature equivalent principle to judge whether the engine is abnormal or not.
7. The method of claim 1, further comprising, prior to said acquiring each material parameter set of said engine at said test temperature:
performing sensitivity calculation on each material parameter of the engine to obtain a plurality of material parameters meeting preset sensitivity conditions and parameter types of the material parameters;
and uniformly designing a plurality of material parameters to obtain each material parameter set.
8. A device for modifying a material parameter, comprising:
the system comprises an actually measured mechanical index data acquisition module, a control module and a control module, wherein the actually measured mechanical index data acquisition module is used for acquiring actually measured mechanical index data of an engine at a test temperature under the condition that the test temperature of the engine of a solid rocket reaches a preset temperature threshold value and acquiring each material parameter set of the engine at the test temperature;
the theoretical mechanical index data acquisition module is used for carrying out response calculation on mechanical index data of the engine according to each material parameter set to obtain theoretical mechanical index data corresponding to each material parameter set;
and the correction module is used for correcting each material parameter set according to the actually measured mechanical index data and the theoretical mechanical index data corresponding to each material parameter set to obtain a target material parameter set corresponding to the test temperature.
9. An electronic device, the electronic device comprising:
one or more processors;
a storage means for storing one or more programs;
when executed by the one or more processors, causes the one or more processors to implement the method of modifying a material parameter as claimed in any one of claims 1 to 7.
10. A storage medium containing computer executable instructions which, when executed by a computer processor, are for performing a method of modifying a material parameter as claimed in any one of claims 1 to 7.
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