Structural reliability evaluation method based on clustering ultrasonic load interaction blind extraction

Abstract

The invention discloses a structural reliability evaluation method based on clustering ultrasonic load interaction blind extraction. The method comprises the following steps: separating useless and useful data of a large-scale structure based on ultrasonic information; blind extraction of structure reliability correlation based on useful ultrasonic information; solving a structural reliability multi-index correlation coefficient; solving a clustering coefficient based on interactive blind extraction; and calculating a reliability numerical value of the large structural member. Separation of useless information and extraction of related reliability information in ultrasonic load spectrum information of the large structural component can be realized, clustering of similarity degree is carried out on the obtained extraction information, and then the reliability of the structure is determined in real time through the reliability clustering value, so that the damage condition of the to-be-analyzed structural component is accurately obtained, and the reliability of the to-be-analyzed structural component is improved. And the operation safety degree of a large-scale structure is effectively ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of equipment structural performance condition monitoring, and particularly relates to a structural reliability evaluation method based on clustering ultrasonic load interaction blind extraction. BACKGROUND

[0002] With the continuous evolution of modern industrial systems towards high integration and complexity, the load conditions borne by large structures, especially key load-bearing components, are becoming increasingly variable and severe. Under this background, potential small damages in the structure are prone to expand under the action of long-term alternating loads, and then trigger a chain of failures, which seriously threatens the operation safety and service life of the overall equipment. At present, the evaluation methods for structural reliability mostly rely on periodic manual detection or local sensor arrangement, which is difficult to achieve high-precision and continuous monitoring of the overall state of the structure, and cannot effectively capture the hidden damage evolution process under the load-structure interaction mechanism. Such methods have obvious limitations in detection coverage and quantification ability, which not only affects the accuracy of the evaluation results, but also restricts the efficiency and response speed of structural health management. Therefore, from the perspective of the coupling characteristics of the overall load distribution and ultrasonic response of the structure, a structural reliability evaluation method based on clustering ultrasonic load interaction blind extraction is studied, which has important theoretical significance and engineering urgency. SUMMARY

[0003] The purpose of the present application is to provide a structural reliability evaluation method based on clustering ultrasonic load interaction blind extraction.

[0004] Technical scheme: The structural reliability evaluation method based on clustering ultrasonic load interaction blind extraction provided by the present application comprises the following steps:

[0005] (1) Separation of useful and useless data of large structure based on ultrasonic information;

[0006] (2) Blind extraction of structure reliability correlation based on useful ultrasonic information;

[0007] (3) Solution of structure reliability multi-index correlation coefficient;

[0008] (4) Solution of clustering coefficient based on interaction blind extraction;

[0009] (5) Calculation of large structure reliability value.

[0010] Further, the step (1) comprises establishing a three-dimensional model of the large structure in Pro-E software and importing the established three-dimensional model into finite element analysis software ANSYS, setting the corresponding constraint boundary conditions according to the actual working conditions of the structure, and obtaining the stress analysis cloud diagram of the structure according to the rated load value under the static load application condition, to determine the most vulnerable position of the structure and the corresponding susceptible area through the stress cloud diagram.

[0011] Furthermore, in step (1), based on the finite element analysis results, six ultrasonic signal sensors are arranged in a hexagonal pattern around the most vulnerable location, with the enclosing area being larger than the vulnerable area area in the finite element analysis results; under actual working conditions, the structure is activated to obtain the measurement values ​​of each ultrasonic sensor. ,in, Number the ultrasonic sensor. , For the time of measurement, , To determine the cutoff time for testing, the point of minimum stress was identified from the finite element analysis results. This point was then considered the most difficult to fail, and an ultrasonic sensor was applied to it for testing. The obtained measurements were marked as... ,in, For the time of measurement, Then, substitute the above test results into the following formula to solve for the ultrasonic data separation limit. ,in, for ;

[0012]

[0013] in, The limit for ultrasound data separation. for ; Measurements obtained by ultrasonic sensors are applied to the most difficult-to-damage locations. For the time of measurement, , This is the deadline for the test; This refers to the measurement values ​​of each ultrasonic sensor after the structure starts working. Number the ultrasonic sensor. , For the time of measurement, , This is the deadline for the test; Measurements of each ultrasonic sensor after the structure is started working under all positions and full-cycle conditions. The maximum value in, Measurements of each ultrasonic sensor after the structure is started working under all positions and full-cycle conditions. The minimum value in.

[0014] Further, step (1) includes separating the ultrasound data based on the calculated ultrasound data limit. The values ​​measured by each ultrasonic sensor medium to small Partially removed, and those larger than are arranged in time sequence, and constitute effective ultrasonic sensor measurement values wherein, is the ultrasonic sensor number, , is the effective monitoring time, , is the effective cutoff time of the test.

[0015] Further, the step (2) includes solving the structure reliability correlation blind extraction coefficient according to the following formula:

[0016]

[0017] wherein, is the structure reliability correlation blind extraction coefficient, is the maximum value in the effective ultrasonic sensor measurement values under the full cycle condition of all positions, is the effective cutoff time of the test, is the ultrasonic sensor number, , is the effective monitoring time, , is the effective ultrasonic sensor measurement value under the full cycle condition of all positions, is the minimum value in the effective ultrasonic sensor measurement values under the full cycle condition of all positions.

[0018] Further, the step (3) includes extracting the maximum stress value of the most vulnerable position in the finite element result analyzed in the step (1) and the minimum stress value in the structure analysis result , and substituting the related parameters into the following formula to solve the multi-index correlation coefficient :

[0019]

[0020] wherein, is the multi-index correlation coefficient, is the maximum stress value of the most vulnerable position, is the minimum stress value in the structure analysis result, is the effective ultrasonic sensor measurement value under the full cycle condition of all positions, is the ultrasonic sensor number, , is the effective monitoring time, , is the effective cutoff time of the test, Measurements obtained by applying ultrasonic sensors to all the most difficult-to-damage locations The maximum value in, Measurements obtained by ultrasonic sensors are applied to the most difficult-to-damage locations. For the time of measurement, , This is the deadline for the test.

[0021] Furthermore, step (4) includes substituting relevant parameters into the following formula to consider the clustering coefficients of the structure for interactive blind extraction. Solve the following:

[0022]

[0023] in, The blind extraction coefficient is related to structural reliability. The correlation coefficient of multiple indicators The deadline for the test. Effective ultrasonic sensor measurements under all location and full-cycle conditions. Number the ultrasonic sensor. , For effective monitoring time, , The effective deadline for the test. The limit for ultrasound data separation. for . Blind extraction coefficients for reliability correlation of all structures The maximum value in; Correlation coefficients for all multi-indicators The maximum value in, Correlation coefficients for all multi-indicators The minimum value in.

[0024] Furthermore, step (5) includes, based on steps (1)-(4), substituting the relevant parameters into the following formula to obtain the reliability value of the large structural component. Solve the following:

[0025]

[0026] in, This represents the reliability value for large structural components. Clustering coefficients for all interactive blind extractions The average value, The clustering coefficients for interactive blind extraction, The maximum stress value at the most vulnerable location. The yield strength corresponding to the material of the structural component can be obtained from a table. Clustering coefficients for all interactive blind extractions The maximum value in, Clustering coefficients for all interactive blind extractions The minimum value in, for .

[0027] Furthermore, the clustering coefficients of all the interactive blind extractions average satisfy:

[0028]

[0029] in, The clustering coefficients for interactive blind extraction, Clustering coefficients for all interactive blind extractions The average value, for .

[0030] Beneficial effects: Compared with the prior art, the present invention has the following significant advantages: The present invention can separate useless information and extract relevant reliability information from the ultrasonic load spectrum information of large structural components, and cluster the extracted information according to the degree of similarity. Then, the reliability of the structure can be determined in real time through the reliability cluster value, thereby accurately obtaining the damage status of the structural component to be analyzed and effectively ensuring the operational safety of large structures. Attached Figure Description

[0031] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0032] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0033] like Figure 1 As shown, the structural reliability assessment method based on clustered ultrasonic load interactive blind extraction of the present invention includes the following steps:

[0034] (1) Separation of useless and useful data in large structures based on ultrasound information;

[0035] A 3D model of the large structural component was created in Pro-E software and imported into the finite element analysis software ANSYS. Appropriate constraint boundary conditions were set according to the actual working conditions of the structure, and the rated load value under static load conditions was applied to obtain the stress analysis contour map of the structure. The stress contour map was used to determine the most vulnerable location and its corresponding susceptible area. Based on the finite element analysis results, six ultrasonic signal sensors were arranged in a hexagonal pattern around the most vulnerable location, with the enclosing area larger than the susceptible area area in the finite element analysis results. Under actual working conditions, the structure was started, and the measurement values ​​of each ultrasonic sensor were obtained. ,(in, Number the ultrasonic sensor. , For the time of measurement, , (This is the deadline for testing). Simultaneously, the point of minimum stress is determined from the finite element analysis results and identified as the most difficult point to fail. An ultrasonic sensor is also applied to this point for testing, and the obtained measurement values ​​are marked as... (in, For the time of measurement, Then, substitute the above test results into the following formula to solve for the ultrasonic data separation limit. (in, for ).

[0036] (1)

[0037] in, The limit for ultrasound data separation. for . Measurements obtained by ultrasonic sensors are applied to the most difficult-to-damage locations. For the time of measurement, , This is the deadline for the test. This refers to the measurement values ​​of each ultrasonic sensor after the structure starts working. Number the ultrasonic sensor. , For the time of measurement, , This is the deadline for the test. Measurements of each ultrasonic sensor after the structure is started working under all positions and full-cycle conditions. The maximum value in, Measurements of each ultrasonic sensor after the structure is started working under all positions and full-cycle conditions. The minimum value in.

[0038] Based on the calculated separation limit of ultrasound data The values ​​measured by each ultrasonic sensor medium to small Partially removed, and those larger than The parts are arranged in chronological order to constitute the effective ultrasonic sensor measurement values. (in, Number the ultrasonic sensor. , For effective monitoring time, , (This is the valid deadline for the test).

[0039] (2) Blind extraction of structural reliability correlation based on useful ultrasound information;

[0040] The above is added to the following formula for the blind extraction coefficient of structural reliability correlation. Solve the problem.

[0041] (2)

[0042] in, The blind extraction coefficient is related to structural reliability. Effective ultrasonic sensor measurements under all location and full-cycle conditions The maximum value in, The effective deadline for the test. Number the ultrasonic sensor. , For effective monitoring time, , Effective ultrasonic sensor measurements under all location and full-cycle conditions. Effective ultrasonic sensor measurements under all location and full-cycle conditions The minimum value in.

[0043] (3) Solving for the correlation coefficient of multiple structural reliability indicators;

[0044] Extract the maximum stress value at the most vulnerable location from the finite element analysis results in step (1). Minimum stress value in structural component analysis results Substituting the relevant parameters into the following formula, the correlation parameters of multiple indicators are... Solve the problem.

[0045] (3)

[0046] in, The correlation coefficient of multiple indicators The maximum stress value at the most vulnerable location. This represents the minimum stress value in the structural component analysis results. Effective ultrasonic sensor measurements under all location and full-cycle conditions. Number the ultrasonic sensor. , For effective monitoring time, , The effective deadline for the test. Measurements obtained by applying ultrasonic sensors to all the most difficult-to-damage locations The maximum value in, Measurements obtained by ultrasonic sensors are applied to the most difficult-to-damage locations. For the time of measurement, , This is the deadline for the test.

[0047] (4) Solving for clustering coefficients based on interactive blind extraction;

[0048] Substituting the relevant parameters into the following formula, the clustering coefficient considering interactive blind extraction in the structure is... Solve the problem.

[0049] (4)

[0050] in, The blind extraction coefficient is related to structural reliability. The correlation coefficient of multiple indicators The deadline for the test. Effective ultrasonic sensor measurements under all location and full-cycle conditions. Number the ultrasonic sensor. , For effective monitoring time, , The effective deadline for the test. The limit for ultrasound data separation. for . Blind extraction coefficients for reliability correlation of all structures The maximum value in. Correlation coefficients for all multi-indicators The maximum value in, Correlation coefficients for all multi-indicators The minimum value in.

[0051] (5) Calculation of reliability values ​​for large structural components;

[0052] Based on steps (1)-(4), substitute the relevant parameters into the following formula to obtain the reliability value of the large structural component. Solve the problem.

[0053] (5)

[0054] in, This represents the reliability value for large structural components. , Clustering coefficients for all interactive blind extractions The average value, The clustering coefficients for interactive blind extraction, The maximum stress value at the most vulnerable location. The yield strength corresponding to the material of the structural component can be obtained from a table. Clustering coefficients for all interactive blind extractions The maximum value in, Clustering coefficients for all interactive blind extractions The minimum value in, for .

Claims

1. A structural reliability assessment method based on clustered ultrasonic load interactive blind extraction, characterized in that, Includes the following steps: (1) Separation of useless and useful data in large structures based on ultrasound information; (2) Blind extraction of structural reliability correlation based on useful ultrasound information; (3) Solving for the correlation coefficient of multiple structural reliability indicators; (4) Solving for clustering coefficients based on interactive blind extraction; (5) Calculation of reliability values ​​for large structural components.

2. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 1, characterized in that, Step (1) includes establishing a three-dimensional model of the large structural component in Pro-E software and importing the established three-dimensional model into the finite element analysis software ANSYS. According to the actual working conditions of the structural component, the corresponding constraint boundary conditions are set, and the rated load value under static load application conditions is obtained to obtain the stress analysis cloud map of the structural component. The most vulnerable location of the structure and its corresponding susceptible area are determined by the stress cloud map.

3. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 1, characterized in that, In step (1), based on the finite element analysis results, six ultrasonic signal sensors are arranged in a hexagonal pattern around the most vulnerable location, with the enclosing area being larger than the vulnerable area in the finite element analysis results. Under actual working conditions, the structure is activated to acquire the measurement values ​​of each ultrasonic sensor. ,in, Number the ultrasonic sensor. , For the time of measurement, , To determine the cutoff time for testing, the point of minimum stress was identified from the finite element analysis results. This point was then considered the most difficult to fail, and an ultrasonic sensor was applied to it for testing. The obtained measurements were marked as... ,in, For the time of measurement, Then, substitute the above test results into the following formula to solve for the ultrasonic data separation limit. ,in, for ; ， in, The limit for ultrasound data separation. for ; Measurements obtained by ultrasonic sensors are applied to the most difficult-to-damage locations. For the time of measurement, , This is the deadline for the test; This refers to the measurement values ​​of each ultrasonic sensor after the structure starts working. Number the ultrasonic sensor. , For the time of measurement, , This is the deadline for the test; Measurements of each ultrasonic sensor after the structure is started working under all positions and full-cycle conditions. The maximum value in, Measurements of each ultrasonic sensor after the structure is started working under all positions and full-cycle conditions. The minimum value in.

4. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 1, characterized in that, Step (1) includes separating the ultrasound data based on the calculated ultrasound data limit. The values ​​measured by each ultrasonic sensor medium to small Partially removed, and those larger than The parts are arranged in chronological order to constitute the effective ultrasonic sensor measurement values. ,in, Number the ultrasonic sensor. , For effective monitoring time, , This is the valid deadline for the test.

5. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 1, characterized in that, Step (2) includes adding step (1) to the following formula for the blind extraction coefficient of structural reliability correlation. Solve the following: ， in, The blind extraction coefficient is the correlation coefficient between structural reliability and structural reliability. Effective ultrasonic sensor measurements under all location and full-cycle conditions The maximum value in, The effective deadline for the test. Number the ultrasonic sensor. , For effective monitoring time, , Effective ultrasonic sensor measurements under all location and full-cycle conditions. Effective ultrasonic sensor measurements under all location and full-cycle conditions The minimum value in.

6. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 1, characterized in that, Step (3) includes extracting the maximum stress value at the most vulnerable location from the finite element results analyzed in step (1). Minimum stress value in structural component analysis results Substitute the relevant parameters into the following formula to evaluate the correlation parameters of multiple indicators. Solve the following: ， in, The correlation coefficient of multiple indicators The maximum stress value at the most vulnerable location. This represents the minimum stress value in the structural component analysis results. Effective ultrasonic sensor measurements under all location and full-cycle conditions. Number the ultrasonic sensor. , For effective monitoring time, , The effective deadline for the test. Measurements obtained by applying ultrasonic sensors to all the most difficult-to-damage locations The maximum value in, Measurements obtained by ultrasonic sensors are applied to the most difficult-to-damage locations. For the time of measurement, , This is the deadline for the test.

7. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 1, characterized in that, Step (4) includes substituting relevant parameters into the following formula to consider the clustering coefficients of the structure for interactive blind extraction. Solve the following: ， in, The blind extraction coefficient is the correlation coefficient between structural reliability and structural reliability. The correlation coefficient of multiple indicators This is the deadline for the test. Effective ultrasonic sensor measurements under all location and full-cycle conditions. Number the ultrasonic sensor. , For effective monitoring time, , The effective deadline for the test. The limit for ultrasound data separation. for ; Blind extraction coefficients for reliability correlation of all structures The maximum value in; Correlation coefficients for all multi-indicators The maximum value in, Correlation coefficients for all multi-indicators The minimum value in.

8. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 1, characterized in that, Step (5) involves substituting relevant parameters into the following formula based on steps (1)-(4) to determine the reliability value of the large structural component. Solve the following: ， in, This represents the reliability value for large structural components. Clustering coefficients for all interactive blind extractions The average value, The clustering coefficients for interactive blind extraction, The maximum stress value at the most vulnerable location. The yield strength corresponding to the material of the structural component can be obtained from a table. Clustering coefficients for all interactive blind extractions The maximum value in, Clustering coefficients for all interactive blind extractions The minimum value in, for .

9. The structural reliability assessment method based on clustered ultrasonic load interactive blind extraction according to claim 8, characterized in that, The clustering coefficients of all interactive blind extractions average satisfy: ， in, The clustering coefficients for interactive blind extraction, Clustering coefficients for all interactive blind extractions The average value, for .

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