Parameter optimization method and device for impact-resistant double-phase structure

Abstract

The invention discloses a parameter optimization method for an anti-impact double-phase structure. The method comprises the steps of obtaining a to-be-optimized parameter index numerical value set and an anti-impact double-phase structure performance test result set; the to-be-optimized parameter index numerical value set comprises a plurality of to-be-optimized parameter index numerical values; the impact-resistant biphase structure performance test result set comprises a performance test result under each to-be-optimized parameter index value; performing modeling processing on the to-be-optimized parameter index value set and the impact-resistant biphase structure performance test result set to obtain a multi-index optimization model; and performing calculation processing on parameter indexes to be optimized by utilizing the multi-index optimization model to obtain an optimal index set. According to the method, the accurate construction of the performance index function is realized, the overall optimization of the multi-type parameters of the biphase structure is realized based on the function set, and finally the optimization of the performance of the biphase structure is realized.

Description

Technical Field

[0001] The invention relates to the field of composite materials, and in particular to a parameter optimization method and device for an impact-resistant dual-phase structure. Background Art

[0002] With the continuous development of aerospace technology, the particularity and diversification of aerospace missions have put forward diverse demands on aerospace structural materials such as high strength, strong toughness, and adaptive stiffness characteristics for impact resistance.

[0003] Traditional single structural materials are mainly composed of a single structure, which makes it difficult to adapt to the requirements of high strength, strong toughness, and stiffness characteristics in the aerospace field. The dual-phase structure can integrate multiple types of structures with different characteristics, and is expected to meet the requirements of aerospace structural applications. For the dual-phase structure, since it involves the integration of multiple types of structures, there are many types of parameters that need to be optimized. How to optimize the multi-type parameters of the dual-phase structure as a whole to achieve the optimization of the dual-phase structure performance is a problem that needs to be solved urgently. Summary of the invention

[0004] The present invention mainly solves the problem of how to perform overall optimization on multiple types of parameters of a dual-phase structure to achieve optimal performance of the dual-phase structure. The present invention discloses a parameter optimization method and device for an impact-resistant dual-phase structure.

[0005] In a first aspect of the embodiments of the present application, a parameter optimization method for an impact-resistant dual-phase structure is disclosed, comprising:

[0006] S1, obtaining a set of parameter index values ​​to be optimized and a set of impact-resistant dual-phase structure performance test results; the set of parameter index values ​​to be optimized includes a plurality of parameter index values ​​to be optimized; the set of impact-resistant dual-phase structure performance test results includes a performance test result under each parameter index value to be optimized; the performance test results include a strength test index sequence, a toughness test index sequence, and a stiffness adaptation characteristic test index sequence;

[0007] S2, modeling the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a multi-index optimization model;

[0008] S3, using the multi-index optimization model, calculating and processing the parameter index to be optimized to obtain an optimal index set.

[0009] The modeling process of the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set is performed to obtain a multi-index optimization model, including:

[0010] S21, performing feature analysis processing on the impact resistance dual-phase structure performance test result set to obtain a weight vector;

[0011] S22, performing feature approximation processing on the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a performance index parameter function set; the performance index parameter function set includes a strength index function, a toughness index function, and a stiffness index function;

[0012] S23, performing weighted summation on the performance indicator parameter function set using a weight vector to obtain an objective function;

[0013] S24, taking the maximization of the objective function as the optimization goal, taking the parameter index to be optimized as the optimization variable, and constructing a multi-index optimization model.

[0014] The characteristic analysis process is performed on the impact resistance dual-phase structure performance test result set to obtain a weight vector, including:

[0015] S211, constructing an indicator matrix using the impact-resistant dual-phase structure performance test result set; the row vector of the indicator matrix is ​​a strength test indicator sequence, a toughness test indicator sequence, and a stiffness adaptation characteristic test indicator sequence;

[0016] S212, performing cross-correlation calculation processing on the test result set of the impact resistance dual-phase structure performance to obtain a cross-correlation matrix; the elements of the cross-correlation matrix are cross-correlation values ​​of the indicator sequences of the two indicator categories;

[0017] S213, performing logarithmic feature calculation processing on the indicator matrix to obtain a feature vector;

[0018] S214, performing cross-correlation operations on the eigenvector and each row vector of the cross-correlation matrix to obtain a corresponding cross-correlation sequence;

[0019] S215, performing time-frequency transformation processing on each cross-correlation sequence to obtain a corresponding time-frequency sequence;

[0020] S216, constructing a time-frequency matrix using all the time-frequency sequences; the row vector of the time-frequency matrix is ​​the time-frequency sequence;

[0021] S217, performing weight calculation processing on the time-frequency matrix and the indicator matrix to obtain a weight vector.

[0022] The calculation expression of the logarithmic feature calculation process is:

[0023]

[0024] Among them, H k is the kth value of the eigenvector, p kiis the element in the kth row and ith column of the indicator matrix, and m is the column dimension of the indicator matrix.

[0025] The expression of the weight calculation process is:

[0026]

[0027] Among them, h k is the kth value of the weight vector, p ki is the element in the kth row and ith column of the indicator matrix, q ki is the element in the kth row and ith column of the time-frequency matrix.

[0028] The characteristic approximation process is performed on the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a performance index parameter function set, including:

[0029] The parameter index value set to be optimized is used as an independent variable, and the index sequence of each index category in the impact-resistant dual-phase structure performance test result set is used as a dependent variable;

[0030] The curve to be approximated is constructed by using the independent variable and the dependent variable, and the curve to be approximated is fitted by using a function approximation method to obtain the best consistent approximation polynomial for each indicator category;

[0031] Determine the best consistent approximation polynomial for each indicator category as a function of the performance indicator parameters of the indicator category;

[0032] By using the performance indicator parameter functions of all indicator categories, a performance indicator parameter function set is constructed.

[0033] According to a second aspect of an embodiment of the present invention, a parameter optimization device for an impact-resistant two-phase structure is disclosed, comprising: the impact-resistant two-phase structure comprises a two-phase layer and a buffer layer, the two-phase layer comprises a first structure and a second structure, the first structure and the second structure are alternately arranged in the same layer, and the buffer layer is arranged between two two-phase layers; the parameters to be optimized comprise the size of the first structure, the size of the second structure, the size of the buffer and the buffer overlap value; the values ​​of the parameters to be optimized are determined by using the optimization index set obtained by the parameter optimization method for the impact-resistant two-phase structure.

[0034] According to a third aspect of the embodiments of the present invention, a device for optimizing a mutual correlation matrix of parameters of a shock-resistant dual-phase structure is disclosed, the device comprising:

[0035] A memory storing executable program code;

[0036] a processor coupled to the memory;

[0037] The processor calls the executable program code stored in the memory to execute the parameter optimization cross-correlation matrix method for the shock-resistant dual-phase structure.

[0038] According to a fourth aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the parameter optimization cross-correlation matrix method for the impact-resistant dual-phase structure.

[0039] According to a fifth aspect of the embodiments of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the parameter optimization cross-correlation matrix method of the impact-resistant dual-phase structure.

[0040] The beneficial effects of the present invention are:

[0041] The present invention utilizes the performance index data and structural parameter data of the dual-phase structure to establish a correlation relationship between the two types of data; in the process of building the correlation relationship, by introducing two types of processing methods, logarithmic feature calculation processing and weight calculation processing, it realizes the elimination of irrelevant quantities and noise in the performance index collection process, and at the same time realizes the extraction of key feature quantities.

[0042] The present invention obtains performance indicator parameter functions of all indicator categories through correlation analysis of performance indicator data and structural parameter data of the dual-phase structure; uses the performance indicator parameter functions of all indicator categories to construct a performance indicator parameter function set, thereby achieving accurate construction of the performance indicator function, and based on the function set, achieves overall optimization of multiple types of parameters of the dual-phase structure, ultimately achieving optimization of the dual-phase structure performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 1 is a flow chart for implementing the method of the present invention;

[0044] Figure 2 It is a schematic diagram of the composition of the impact-resistant dual-phase structure of the present invention. DETAILED DESCRIPTION

[0045] In order to better understand the content of the present invention, an embodiment is given here.

[0046] Figure 1 1 is a flow chart for implementing the method of the present invention; Figure 2 It is a schematic diagram of the composition of the impact-resistant dual-phase structure of the present invention.

[0047] In order to solve the problem of how to perform overall optimization on multiple types of parameters of a dual-phase structure to achieve optimal performance of the dual-phase structure, the present invention discloses a parameter optimization method and device for an impact-resistant dual-phase structure.

[0048] In a first aspect of the embodiments of the present application, a parameter optimization method for an impact-resistant dual-phase structure is disclosed, comprising:

[0049] S1, obtaining a set of parameter index values ​​to be optimized and a set of impact-resistant dual-phase structure performance test results; the set of parameter index values ​​to be optimized includes a plurality of parameter index values ​​to be optimized; the set of impact-resistant dual-phase structure performance test results includes a performance test result under each parameter index value to be optimized; the performance test results include a strength test index sequence, a toughness test index sequence, and a stiffness adaptation characteristic test index sequence;

[0050] S2, modeling the parameter index to be optimized and the set of impact resistance dual-phase structure performance test results to obtain a multi-index optimization model;

[0051] S3, using the multi-index optimization model, calculating and processing the parameter index to be optimized to obtain an optimized index set.

[0052] The modeling process of the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set is performed to obtain a multi-index optimization model, including:

[0053] S21, performing feature analysis processing on the impact resistance dual-phase structure performance test result set to obtain a weight vector;

[0054] S22, performing feature approximation processing on the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a performance index parameter function set; the performance index parameter function set includes a strength index function, a toughness index function, and a stiffness index function;

[0055] S23, performing weighted summation on the performance indicator parameter function set using a weight vector to obtain an objective function;

[0056] S24, taking the maximization of the objective function as the optimization goal, taking the parameter index to be optimized as the optimization variable, and constructing a multi-index optimization model.

[0057] The characteristic analysis process is performed on the impact resistance dual-phase structure performance test result set to obtain a weight vector, including:

[0058] S211, constructing an indicator matrix using the impact-resistant dual-phase structure performance test result set; the row vector of the indicator matrix is ​​a strength test indicator sequence, a toughness test indicator sequence, and a stiffness adaptation characteristic test indicator sequence;

[0059] S212, performing cross-correlation calculation processing on the test result set of the impact resistance dual-phase structure performance to obtain a cross-correlation matrix; the elements of the cross-correlation matrix are cross-correlation values ​​of the indicator sequences of the two indicator categories;

[0060] S213, performing logarithmic feature calculation processing on the indicator matrix to obtain a feature vector;

[0061] S214, performing cross-correlation operations on the eigenvector and each row vector of the cross-correlation matrix to obtain a corresponding cross-correlation sequence;

[0062] S215, performing time-frequency transformation processing on each cross-correlation sequence to obtain a corresponding time-frequency sequence;

[0063] S216, constructing a time-frequency matrix using all the time-frequency sequences; the row vector of the time-frequency matrix is ​​the time-frequency sequence;

[0064] S217, performing weight calculation processing on the time-frequency matrix and the indicator matrix to obtain a weight vector;

[0065] The calculation expression of the logarithmic feature calculation process is:

[0066]

[0067] Among them, H k is the kth value of the eigenvector, p ki is the element in the kth row and ith column of the indicator matrix, and m is the column dimension of the indicator matrix.

[0068] The expression of the weight calculation process is:

[0069]

[0070] Among them, h k is the kth value of the weight vector, p ki is the element in the kth row and ith column of the indicator matrix, q ki is the element in the kth row and ith column of the time-frequency matrix.

[0071] The characteristic approximation process is performed on the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a performance index parameter function set, including:

[0072] The parameter index value set to be optimized is used as an independent variable, and the index sequence of each index category in the impact-resistant dual-phase structure performance test result set is used as a dependent variable;

[0073] The curve to be approximated is constructed by using the independent variable and the dependent variable, and the curve to be approximated is fitted by using a function approximation method to obtain the best consistent approximation polynomial for each indicator category;

[0074] Determine the best consistent approximation polynomial for each indicator category as a function of the performance indicator parameters of the indicator category;

[0075] By using the performance indicator parameter functions of all indicator categories, a performance indicator parameter function set is constructed.

[0076] In a second aspect of the embodiments of the present invention, a parameter optimization device for a shock-resistant dual-phase structure is disclosed. The shock-resistant dual-phase structure, such as Figure 2 As shown, it includes a two-phase layer and a buffer layer, the two-phase layer includes a first structure and a second structure, the first structure and the second structure are alternately arranged in the same layer, and the buffer layer is arranged between two two-phase layers; the buffer layer includes a plurality of buffers; the parameters to be optimized include the size of the first structure, the size of the second structure, the size of the buffer, and the buffer overlap value; the values ​​of the parameters to be optimized are determined by the optimal index set obtained by the parameter optimization method of the impact-resistant two-phase structure. Figure 2 As shown, the size of the first structure is a1 and b1, the size of the second structure is a2 and b2, and the size of the buffer is a3 and b3; the buffer overlap value is the overlap distance between the long side of the buffer and the long side of the second structure. Figure 2 In the middle, it is a4.

[0077] The curve fitting of the curve to be approximated by the function approximation method may be performed by using the best consistent linear approximation method. The best consistent approximation polynomial f(Ix) is expressed as:

[0078] f(Ix)=α P1 (Ix) P1 +α P1-1 (Ix) P1-1 +…+α2(Ix) 2 +α1(Ix)+α0,

[0079] Where P1 is the order of the best consistent approximation polynomial f(Ix), α0, α1, α2, …, α P1 are the coefficients of the optimal consistent approximation polynomial f(Ix);

[0080] According to a third aspect of the embodiments of the present invention, a device for optimizing a mutual correlation matrix of parameters of a shock-resistant dual-phase structure is disclosed, the device comprising:

[0081] A memory storing executable program code;

[0082] a processor coupled to the memory;

[0083] The processor calls the executable program code stored in the memory to execute the parameter optimization cross-correlation matrix method for the shock-resistant dual-phase structure.

[0084] According to a fourth aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the parameter optimization cross-correlation matrix method for the impact-resistant dual-phase structure.

[0085] According to a fifth aspect of the embodiments of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the parameter optimization cross-correlation matrix method of the impact-resistant dual-phase structure.

[0086] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A parameter optimization method for an impact-resistant dual-phase structure, characterized in that: include: S1, obtaining a set of parameter index values ​​to be optimized and a set of impact-resistant dual-phase structure performance test results; The parameter index value set to be optimized includes several parameter index values ​​to be optimized; the impact-resistant dual-phase structure performance test result set includes performance test results under each parameter index value to be optimized; the performance test results include a strength test index sequence, a toughness test index sequence, and a stiffness adaptation characteristic test index sequence; S2, modeling the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a multi-index optimization model; S3, using the multi-index optimization model, calculating and processing the parameter index to be optimized to obtain an optimal index set.

2. The parameter optimization method of the impact-resistant dual-phase structure according to claim 1, characterized in that: The modeling process of the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set is performed to obtain a multi-index optimization model, including: S21, performing feature analysis processing on the impact resistance dual-phase structure performance test result set to obtain a weight vector; S22, performing feature approximation processing on the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a performance index parameter function set; the performance index parameter function set includes a strength index function, a toughness index function, and a stiffness index function; S23, performing weighted summation on the performance indicator parameter function set using a weight vector to obtain an objective function; S24, taking the maximization of the objective function as the optimization goal, taking the parameter index to be optimized as the optimization variable, and constructing a multi-index optimization model.

3. The parameter optimization method of the impact-resistant dual-phase structure according to claim 1, characterized in that: The characteristic analysis process is performed on the impact resistance dual-phase structure performance test result set to obtain a weight vector, including: S211, constructing an indicator matrix using the impact-resistant dual-phase structure performance test result set; the row vector of the indicator matrix is ​​a strength test indicator sequence, a toughness test indicator sequence, and a stiffness adaptation characteristic test indicator sequence; S212, performing cross-correlation calculation processing on the test result set of the impact resistance dual-phase structure performance to obtain a cross-correlation matrix; the elements of the cross-correlation matrix are cross-correlation values ​​of the indicator sequences of the two indicator categories; S213, performing logarithmic feature calculation processing on the indicator matrix to obtain a feature vector; S214, performing cross-correlation operations on the eigenvector and each row vector of the cross-correlation matrix to obtain a corresponding cross-correlation sequence; S215, performing time-frequency transformation processing on each cross-correlation sequence to obtain a corresponding time-frequency sequence; S216, constructing a time-frequency matrix using all the time-frequency sequences; the row vector of the time-frequency matrix is ​​the time-frequency sequence; S217, performing weight calculation processing on the time-frequency matrix and the indicator matrix to obtain a weight vector.

4. The parameter optimization method of the impact-resistant dual-phase structure according to claim 3, characterized in that: The calculation expression of the logarithmic feature calculation process is: Among them, H k is the kth value of the eigenvector, p ki is the element in the kth row and ith column of the indicator matrix, and m is the column dimension of the indicator matrix.

5. The parameter optimization method of the impact-resistant dual-phase structure according to claim 3, characterized in that: The expression of the weight calculation process is: Among them, h k is the kth value of the weight vector, p ki is the element in the kth row and ith column of the indicator matrix, q ki is the element in the kth row and ith column of the time-frequency matrix.

6. The parameter optimization method of the impact-resistant dual-phase structure according to claim 1, characterized in that: The characteristic approximation process is performed on the parameter index value set to be optimized and the impact resistance dual-phase structure performance test result set to obtain a performance index parameter function set, including: The parameter index value set to be optimized is used as an independent variable, and the index sequence of each index category in the impact-resistant dual-phase structure performance test result set is used as a dependent variable; The curve to be approximated is constructed by using the independent variable and the dependent variable, and the curve to be approximated is fitted by using a function approximation method to obtain the best consistent approximation polynomial for each indicator category; Determine the best consistent approximation polynomial for each indicator category as a function of the performance indicator parameters of the indicator category; By using the performance indicator parameter functions of all indicator categories, a performance indicator parameter function set is constructed.

7. A parameter optimization device for an impact-resistant dual-phase structure, comprising: The impact-resistant two-phase structure comprises a two-phase layer and a buffer layer, the two-phase layer comprises a first structure and a second structure, the first structure and the second structure are alternately arranged in the same layer, and the buffer layer is arranged between two two-phase layers; the parameters to be optimized include the size of the first structure, the size of the second structure, the size of the buffer and the buffer overlap value; the values ​​of the parameters to be optimized are determined by using the optimization index set obtained by the parameter optimization method of the impact-resistant two-phase structure as described in any one of claims 1 to 6.

8. A parameter optimization cross-correlation matrix device for a shock-resistant dual-phase structure, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the parameter optimization method for the impact-resistant dual-phase structure according to any one of claims 1 to 6.

9. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the parameter optimization method of the impact-resistant dual-phase structure according to any one of claims 1 to 6.

10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the parameter optimization method of the impact-resistant dual-phase structure according to any one of claims 1 to 6.

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