Multi-source self-calibration fracture positioning and fracture damage strength identification method based on acoustic emission energy

Abstract

The invention relates to the technical field of material mechanics, in particular to a multi-source self-calibration fracture positioning and fracture damage strength identification method based on acoustic emission energy. According to the technical scheme, the method comprises the following steps: determining a damage crack area of a detection material through an acoustic emission energy signal positioning model; determining damage intensity data of the damage fracture area through the probe distance array and the second energy measurement array; through a probe distance array and an energy signal measurement array, a plurality of positioning points for detecting the damage crack of the material are accurately determined; and sending the damage crack area, the damage strength data and the plurality of positioning points to terminal equipment, and determining the internal damage condition of the detection material through the terminal equipment. The method has the technical effects that through a multi-source self-calibration technology and in combination with monitoring data of a plurality of probes, the positioning precision of the damaged fracture can be remarkably improved; and the method is suitable for detection materials with different sizes and types, and has universality and adaptability.

Description

Technical Field

[0001] The present application relates to the technical field of material mechanics, and in particular to a method for locating cracks and identifying fracture damage strength based on calibration of multiple sources of acoustic emission energy. Background Art

[0002] Acoustic emission is a signal formed when the material itself releases strain energy in the form of elastic waves when there are local defects inside the material or some parts are deformed and damaged due to stress disturbance under the influence of the external environment.

[0003] In addition, acoustic emission signals are widely present in nature and are generated when materials are damaged. Different materials are subject to the influence of their own propagation media, so there are certain differences in the frequency and distribution band of acoustic emission signals generated by different materials. At the same time, the acoustic emission signals generated by the same material in different damage processes are also different.

[0004] Therefore, this characteristic of acoustic emission signals can be used to identify the internal damage of materials, that is, to identify the evolution process of internal defects of materials through the characteristic changes of acoustic emission signals;

[0005] In addition, the location and size of internal damage cracks in the material damage process are key indicators for clarifying the material destruction process. The characterization of material stability is the core of material damage research.

[0006] Therefore, based on the characteristics of acoustic emission signals, establishing the internal crack location and size quantification during the material damage process will help further clarify the material stability;

[0007] At present, the methods of locating internal cracks in the damage process of experimental materials using acoustic emission equipment can be divided into regional positioning method and time difference positioning method;

[0008] Among them, the regional positioning method is to identify the source of the acoustic emission signal by monitoring the acoustic emission signal emitted from the inside of the experimental material, and then locate the damage crack area by combining the number of sensors set and the time interval difference of the acoustic emission signals received by each sensor. This method has a simple principle and operation mode, but has low accuracy and is difficult to meet the requirements of microscopic damage analysis.

[0009] The time difference positioning method uses three acoustic emission monitoring probes to record the stress wave reception time, and locates the acoustic emission source in combination with the wave velocity of the material medium. This method has higher accuracy than the regional positioning method, and the larger the material size, the more obvious the time difference of the signal received by each probe, which is more conducive to accurate positioning.

[0010] However, in laboratory research, when the size of the experimental specimen is relatively small, the time when each monitoring probe receives the acoustic emission signal is very close, and it is difficult to accurately distinguish the time difference and sequence of the received signals of each probe, which affects the accuracy of the damage crack location and its fracture strength.

[0011] Therefore, it is still necessary to further combine the laboratory sample size to construct a material damage crack acoustic emission accurate positioning and fracture damage strength model, so as to realize the dynamic identification of the material crack development process at the laboratory scale and improve the real-time identification accuracy of internal cracks in the material. Summary of the invention

[0012] The present application provides a method for calibrating crack positioning and fracture damage strength based on acoustic emission energy sources to solve the problems of low accuracy in locating the damage crack occurrence area in the prior art, and low accuracy in locating the damage crack and its fracture strength for small-sized test objects.

[0013] The present application provides a method for locating cracks and identifying fracture damage intensity based on calibration of multiple sources of acoustic emission energy, including:

[0014] The acoustic emission device includes at least three probes with acoustic emission function, and the size of the probes is set according to the actual test material; the energy monitoring device is connected to the probes;

[0015] Place the probes evenly on the surface of the test material, and ensure that the three-dimensional straight-line distance between any two adjacent probes is equal;

[0016] Points are taken at several preset positions of the test material to obtain several marking points, and the marking points are knocked several times by the knocking device; each probe performs energy monitoring, obtains feedback from each knock, obtains several monitoring data, and sends the several monitoring data to the energy monitoring device;

[0017] The monitoring data includes: energy data, first energy intensity data and second energy intensity data;

[0018] By means of each marking point and each energy data, an energy signal measurement array (W0) and a probe distance array (K) between the marking point and each probe are calculated; and by means of each marking point and each second energy intensity data, a second energy measurement array (E0) is calculated;

[0019] An acoustic emission energy signal positioning model is established through the probe distance array (K) and the energy signal measurement array (W0). The positioning point of the damage crack of the detection material is determined through the acoustic emission energy signal positioning model, and then the damage crack area of ​​the detection material is determined;

[0020] A damage intensity identification model is established through a probe distance array (K) between the marking point and each probe and a second energy measurement array (E0), and damage intensity data of the damaged crack area is determined through the damage intensity identification model;

[0021] Through the probe distance array (K) and the energy signal measurement array (W0), an acoustic emission energy signal positioning model is established. Through the acoustic emission energy signal positioning model, several positioning points of the damage cracks of the detection material are accurately determined;

[0022] The damaged crack area, damage intensity data and several positioning points are sent to the terminal device, and the internal damage of the test material is determined by the terminal device.

[0023] The above technology has the following advantages: through multi-source calibration technology, combined with the monitoring data of multiple probes, the positioning accuracy of damaged cracks can be significantly improved; and this method is applicable to test materials of different sizes and types, and is universal and adaptable; and through real-time monitoring and analysis of the changes in acoustic emission signals, it can track and clarify the damage of the material during the load damage process in real time.

[0024] Optionally, obtain each probe position data to obtain a number of probe position data, obtain a number of marking point position data, and obtain a number of punctuation point position data;

[0025] According to a number of probe position data and a number of punctuation point position data, the number of distance groups is calculated. For details, refer to the following formula:

[0026]

[0027]

[0028]

[0029]

[0030]

[0031] Where K is: the probe distance array between the marker point and each probe;

[0032] in, is: the three-dimensional straight-line distance between the probe and the marking point;

[0033] in, is: the distance between the probe and the marking point in the x-axis direction;

[0034] in, is: the distance between the probe and the marking point in the y-axis direction;

[0035] in, is: the distance between the probe and the marking point in the z-axis direction;

[0036] Wherein, n is the number of marking points, n=1, 2...n; m is the number of probes, m=1, 2...m;

[0037] Among them, x m is the spatial x-axis coordinate of the probe; n is the spatial x-axis coordinate of the marked point;

[0038] Among them, y m is the spatial y-axis coordinate of the probe; n is the spatial y-axis coordinate of the marked point;

[0039] Among them, z m is the spatial z-axis coordinate of the probe; n The space z-axis coordinate of the marker point.

[0040] The use of the above technology has the following advantages: Based on the position data of the probe and the marking point, the distance array between them is calculated, which provides important data support for subsequent positioning and damage intensity identification work.

[0041] Optionally, by tapping the device, tapping several marking points several times with the same force;

[0042] The energy signal measurement array is calculated through all energy data and several punctuation position data. For details, refer to the following formula:

[0043] W0=[w1…w n ]

[0044]

[0045] Wherein, W0 is: energy signal measurement array;

[0046] Among them, w n = ...

[0047] in, = ...

[0048] Wherein, n is the number of probes, n=1…n; l is the number of tapping, l=1…l.

[0049] By measuring the energy signal array (W0), the change of each energy data when the marked points at different positions are tapped is determined, and then the change pattern of the energy data monitored by each probe when the marked points at different positions are tapped is determined.

[0050] The use of the above technology has the following advantages: it can provide a deeper understanding of the acoustic emission characteristics of the test material during loading, as well as the impact of damage cracks at different locations on the acoustic emission signal.

[0051] Optionally, a plurality of arbitrary points are tapped several times with different intensities by a tapping device; a plurality of first energy intensity data are obtained, and the plurality of first energy intensity data are sent to an energy monitoring device,

[0052] The first intensity energy measurement array is calculated through all the first energy intensity data and a number of arbitrary points, specifically referring to the following formula:

[0053] E s0 =[e s1 …e sn ]

[0054]

[0055] Among them, E s0 is: a first intensity energy measurement array;

[0056] Among them, e sn is: the set of the first energy intensity data of each tap at the same arbitrary point;

[0057] in, The striking energy intensity data of the same arbitrary point at a height h is the first energy intensity data;

[0058] Wherein, n is the number of probes, n=1…n; h is the striking height, h=1…h.

[0059] Wherein, the arbitrary point is: a knocking point on any surface of the test material;

[0060] By first intensity energy determination array (E s0 ), determine the change of each first energy intensity data when any point at different positions is struck, and then determine the change rule of the sum of energy data monitored by all probes when any point at different positions is struck.

[0061] The use of the above technology has the following advantages: it can provide a deeper understanding of the acoustic emission characteristics of the test material under different loading conditions, as well as the impact of tapping at different positions and with different intensities on the acoustic emission signal.

[0062] Optionally, a plurality of marking points are tapped several times with different intensities by a tapping device; each probe obtains feedback of each tapping, obtains a plurality of second energy intensity data, and sends the plurality of second energy intensity data to an energy monitoring device;

[0063] The second intensity energy measurement array is calculated through all the second energy intensity data and a number of punctuation point position data, and specifically refers to the following formula:

[0064] E0=[e1…e n ]

[0065]

[0066] Wherein, E0 is: the second intensity energy measurement array;

[0067] Among them, e n is: a collection of the second energy intensity data of each tap at the same calibration point;

[0068] in, is: for the same calibration point, the energy intensity data of the impact at a height of h, i.e., the second energy intensity data;

[0069] Wherein, n is the number of probes, n=1…n; h is the striking height, h=1…h.

[0070] By using the second intensity energy measurement array (E0), the change of each second energy intensity data when the marked points at different positions are struck is determined, and further the law of the comprehensive change of the energy data monitored by all the probes when the marked points at different positions are struck is determined;

[0071] The probe distance array (K) and the second energy measurement array (E0) are brought into the preset first learning model to establish a damage intensity identification model.

[0072] The use of the above technology has the following advantages: a damage intensity identification model is established, which provides a powerful tool for subsequent detection and evaluation work and can greatly improve the accuracy and efficiency of detection.

[0073] Optionally, according to the energy signal measurement array (W0), any two groups of data are compared to obtain the difference data between any two groups of data, specifically referring to the following formula:

[0074]

[0075] Among them, the data within the group is: W i Any data in, such as: w n ;

[0076] Among them, D i The difference in energy data obtained by any two probes for the same marked point.

[0077] in, The difference characteristics of the energy data monitored by the nth probe and the n-1th probe at the same marked point;

[0078] Among them, i is the marking point number, i=1…i; n is the number of probes, n=1…n; l is the number of tapping, l=1…l.

[0079] According to the probe distance array (K), energy signal measurement array (W0) and difference data (D i ) is brought into the preset second learning model to establish an acoustic emission energy signal positioning model;

[0080] Through the acoustic emission energy signal positioning model, the correction data is obtained, and the energy data received by the probe is corrected by the correction data to obtain the corrected energy data. The calibration positioning point is determined by the corrected energy data. The calibration positioning point can be used to more specifically determine the positioning point of the damaged crack of the detection material.

[0081] The above technology has the following advantages: an acoustic emission energy signal positioning model is established, and the probe monitoring data is corrected. Through this method, the damage cracks in the detected material can be accurately positioned, providing a powerful tool for material damage monitoring and evaluation.

[0082] Optionally, the number of comparisons of data within any two groups is determined according to the number of probe settings;

[0083] When there are n probes, the number of comparisons between any probes is Second-rate.

[0084] The use of the above technology has the following advantages: the number of energy data comparisons between any two probes is determined, and the positioning accuracy of the acoustic emission energy signal is further improved through multiple verification monitoring.

[0085] Optionally, any positioning point of the same probe is compared with the corresponding calibration precise positioning point through the acoustic emission energy signal positioning model to obtain distance difference data, and correction data is obtained through the distance difference data. The positioning point is corrected through the correction data to obtain the precise damage crack point. For details, refer to the following formula:

[0086]

[0087]

[0088] Where L is: the Euclidean distance between the monitoring data positioning point and the calibration precise positioning point, that is, the distance difference data;

[0089] Among them, g is: the dimension of the positioning point;

[0090] Among them, p γs For: data point p γ The sth dimension value of ;

[0091] Among them, z ρs is: represents the calibration precise positioning point z ρ The sth dimension value of ;

[0092] Among them, ρ is: the number of positioning point clusters;

[0093] Among them, n ρ is: the number of data points in the ρth anchor point cluster;

[0094] Among them, Z ρ is: the ρth anchor point cluster.

[0095] The use of the above technology has the following advantages: the calibration positioning point is determined by using the correction energy data, and the positioning point in the monitoring data is corrected to obtain the precise damage crack point; at the same time, the application of multi-source calibration method also further improves the positioning accuracy.

[0096] Optionally, the probe distance array (K), the second intensity energy measurement array (E0) and the first intensity energy measurement array (E s0 ), substituted into the preset damage intensity model to obtain more accurate damage intensity data, i.e., precise damage intensity data;

[0097] By combining the location points of damage cracks with precise damage intensity data, the precise area where damage occurs during the material loading damage process and its intensity can be tracked and clarified in real time.

[0098] The use of the above technology has the following advantages: more accurate damage intensity data is obtained, and combined with the positioning points of the damage cracks, real-time tracking of the material loading damage process and clarification of the precise area and its damage intensity are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0099] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0100] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0101] Figure 2 A flow chart of a method for locating cracks and identifying fracture damage intensity based on calibration of multiple sources of acoustic emission energy is provided in one embodiment of the present application. DETAILED DESCRIPTION

[0102] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0103] In addition, the term "and / or" in this article is only a kind of association relationship between related objects based on the acoustic emission energy mostly coming from the calibration crack location and fracture damage strength identification method, indicating that there can be three relationships, for example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally indicates that the previous and next related objects are an "or" relationship based on the acoustic emission energy mostly coming from the calibration crack location and fracture damage strength identification method.

[0104] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0105] The existing technology has the problem that in laboratory research, when the size of the experimental sample is relatively small and the time when each monitoring probe receives the acoustic emission signal is very close, it is difficult to accurately distinguish the time difference and sequence of the signals received by each probe, which in turn affects the accuracy of the damage crack positioning and its fracture strength.

[0106] Based on this, the present application provides a method for crack positioning and fracture damage intensity identification based on acoustic emission energy multi-source calibration.

[0107] Through multi-source calibration technology, combined with the monitoring data of multiple probes, the positioning accuracy of damaged cracks can be significantly improved; this method is suitable for testing materials of different sizes and types, and has strong versatility and adaptability; and through real-time monitoring and analysis of changes in acoustic emission signals, it can track and clarify the damage of the material during the load damage process in real time.

[0108] Figure 1 Schematic diagram of the application scenario provided for this application.

[0109] When testing the test material, the method provided in this application is applied to detect the damaged crack area. This method is applicable to an acoustic emission device, a knocking device, an energy monitoring device and a terminal device.

[0110] Figure 2 A flow chart of a method for locating cracks and identifying fracture damage strength based on calibration of multiple sources of acoustic emission energy provided in one embodiment of the present application. Figure 2 As shown, the method includes:

[0111] S201. Evenly arrange the probes on the surface of the test material, and ensure that the three-dimensional straight-line distances between any two adjacent probes are equal.

[0112] S202, taking points at several preset positions of the test material to obtain several marking points, and tapping the several marking points several times through a tapping device; each probe performs energy monitoring, obtains feedback from each tapping, obtains several monitoring data, and sends the several monitoring data to the energy monitoring device;

[0113] The monitoring data includes: energy data, first energy intensity data and second energy intensity data.

[0114] S203. Calculate the energy signal measurement array (W0) and the probe distance array (K) between the marking point and each probe through each marking point and each energy data; calculate the second energy measurement array (E0) through each marking point and each second energy intensity data.

[0115] S204, establishing an acoustic emission energy signal positioning model through the probe distance array (K) and the energy signal measurement array (W0), determining the positioning point of the damage crack of the detection material through the acoustic emission energy signal positioning model, and then determining the damage crack area of ​​the detection material.

[0116] S205, establishing a damage intensity identification model through the probe distance array (K) between the marking point and each probe and the second energy measurement array (E0), and determining the damage intensity data of the damaged crack area through the damage intensity identification model.

[0117] S206. Establish an acoustic emission energy signal positioning model through the probe distance array (K) and the energy signal measurement array (W0), and accurately determine several positioning points of the damaged cracks in the detection material through the acoustic emission energy signal positioning model.

[0118] S207, sending the damaged crack area, damage intensity data and several positioning points to the terminal device, and determining the internal damage of the test material through the terminal device.

[0119] Through the solution provided in this embodiment, the positioning accuracy of damaged cracks can be significantly improved by combining the monitoring data of multiple probes through multi-source calibration technology; and this method is applicable to test materials of different sizes and types, and has strong versatility and adaptability; and through real-time monitoring and analysis of changes in acoustic emission signals, the damage condition of the material during the load damage process can be tracked and clarified in real time;

[0120] In summary, this method has the advantages of high positioning accuracy, strong adaptability and real-time performance.

[0121] In some embodiments, each probe position data is acquired to obtain a plurality of probe position data, and a plurality of marking point position data is acquired to obtain a plurality of marking point position data;

[0122] According to a number of probe position data and a number of punctuation point position data, the number of distance groups is calculated. For details, refer to the following formula:

[0123]

[0124]

[0125]

[0126]

[0127]

[0128] Where K is: the probe distance array between the marker point and each probe;

[0129] in, is: the three-dimensional distance between the probe and the marker point;

[0130] in, is: the distance between the probe and the marking point in the x-axis direction;

[0131] in, is: the distance between the probe and the marking point in the y-axis direction;

[0132] in, is: the distance between the probe and the marking point in the z-axis direction;

[0133] Wherein, n is the number of marking points, n=1, 2...n; m is the number of probes, m=1, 2...m;

[0134] Among them, x m is the spatial x-axis coordinate of the probe; n is the spatial x-axis coordinate of the marked point;

[0135] Among them, y m is the spatial y-axis coordinate of the probe; n is the spatial y-axis coordinate of the marked point;

[0136] Among them, z m is the spatial z-axis coordinate of the probe; n The space z-axis coordinate of the marker point.

[0137] Specifically, the position data of each probe is obtained, including their x-axis, y-axis and z-axis coordinates in space, thereby obtaining a number of probe position data, and similarly, the position data of a number of marking points are also obtained, including their x-axis, y-axis and z-axis coordinates in space;

[0138] Then, based on these probe position data and marker point position data, the three-dimensional distance between each marker point and each probe is calculated;

[0139] All the markers and probes are traversed, and the three-dimensional distances between them are calculated, thereby obtaining a distance array, which contains the distance information between each marker and each probe, and can be used for subsequent positioning and damage intensity identification;

[0140] In addition, based on these three-dimensional distances, the distances between each marker point and each probe in the x-axis, y-axis, and z-axis directions are calculated.

[0141] This distance information can be used to more finely analyze the propagation characteristics of the acoustic emission signal in the test material and more accurately locate the location of the damage crack.

[0142] Through the solution provided in this embodiment, based on the position data of the probe and the marking point, an array of distances between them is calculated, which provides important data support for subsequent positioning and damage intensity identification work.

[0143] In some embodiments, a plurality of marking points are tapped several times with the same force by tapping a device;

[0144] The energy signal measurement array is calculated through all energy data and several punctuation position data. For details, refer to the following formula:

[0145]

[0146]

[0147] Wherein, W0 is: energy signal measurement array;

[0148] Among them, w n = ...

[0149] in, = ...

[0150] Wherein, n is the number of probes, n=1…n; l is the number of tapping, l=1…l.

[0151] By measuring the energy signal array (W0), the change of each energy data when the marking points at different positions are tapped is determined, and then the change pattern of the energy data monitored by each probe when the marking points at different positions are tapped is determined.

[0152] Specifically, a number of marked points are tapped several times with the same force by a tapping device. After each tap, all probes capture the acoustic emission signal and generate corresponding energy data;

[0153] Then, the energy signal measurement array is calculated. This array is used to record the energy data obtained by each probe after each tap.

[0154] Through the energy signal measurement array, we can observe and analyze the law of energy data changes monitored by each probe when different position markers are hit. Specifically:

[0155] Compare the energy data obtained by each probe at the same marked point with different tapping times to understand the changing trend of energy data with tapping times;

[0156] Compare the energy data obtained by each probe at different marking points with the same number of taps to understand the changing trend of energy data with the position of the marking point;

[0157] The energy data obtained by the same probe at different marking points and tapping times were analyzed to summarize the changing rules of the energy monitoring fluctuations of the probe when tapping at different positions.

[0158] Through the scheme provided in this embodiment, we can have a deeper understanding of the acoustic emission characteristics of the test material during loading, as well as the impact of damage cracks at different positions on the acoustic emission signal. This information is of great guiding significance for damage location and strength identification of the test material.

[0159] In some embodiments, a plurality of arbitrary points are tapped several times with different strengths by tapping the device; a plurality of first energy intensity data are obtained, and the plurality of first energy intensity data are sent to the energy monitoring device,

[0160] The first intensity energy measurement array is calculated through all the first energy intensity data and a number of arbitrary points, specifically referring to the following formula:

[0161] E s0 =[e s1 …e sn ]

[0162]

[0163] Among them, E s0 is: a first intensity energy measurement array;

[0164] Among them, e sn is: the set of the first energy intensity data of each tap at the same arbitrary point;

[0165] in, The striking energy intensity data of the same arbitrary point at a height h is the first energy intensity data;

[0166] Wherein, n is the number of probes, n=1…n; h is the striking height, h=1…h.

[0167] Wherein, the arbitrary point is: a knocking point on any surface of the test material;

[0168] By first intensity energy determination array (E s0 ), determine the change of each first energy intensity data when any point at different positions is struck, and then determine the change rule of the sum of energy data monitored by all probes when any point at different positions is struck.

[0169] Specifically, the tapping device taps several arbitrary points with different intensities several times. To ensure the accuracy and comparability of the data, the tapping point is aligned with the arbitrary point as much as possible during each tapping, and the intensity of each tapping is recorded. After each tapping, all probes will capture the acoustic emission signal and generate corresponding energy intensity data;

[0170] Then, the first intensity energy measurement array is calculated, and this array is used to record the energy data obtained by each probe under different striking intensities;

[0171] By calculating the first intensity energy measurement array, we can observe and analyze the law of energy data changes monitored by each probe when any point at different positions is hit with different strengths. Specifically:

[0172] Compare the energy intensity data obtained by each probe at the same arbitrary point under different tapping forces and tapping times to understand the changing trend of energy intensity data with tapping force and tapping times;

[0173] Compare the energy intensity data obtained by each probe at different arbitrary points under the same tapping force and tapping times to understand the changing trend of energy intensity data with the position of arbitrary points;

[0174] The energy intensity data obtained by the same probe at different arbitrary points, different tapping forces and tapping times were analyzed to summarize the changing rules of the energy monitoring fluctuations of the probe when tapping at different positions and with different forces.

[0175] Through the scheme provided in this embodiment, we can have a deeper understanding of the acoustic emission characteristics of the test material under different loading conditions, as well as the impact of knocking at different positions and with different intensities on the acoustic emission signal. This information is of great guiding significance for damage location and strength identification of the test material.

[0176] In some embodiments, a plurality of marked points are tapped several times with different intensities by a tapping device; each probe obtains feedback of each tapping, obtains a plurality of second energy intensity data, and sends the plurality of second energy intensity data to an energy monitoring device;

[0177] The second intensity energy measurement array is calculated through all the second energy intensity data and a number of punctuation point position data, and specifically refers to the following formula:

[0178] E0=[e1 … e n ]

[0179]

[0180] Wherein, E0 is: the second intensity energy measurement array;

[0181] Among them, e n is: a collection of the second energy intensity data of each tap at the same calibration point;

[0182] in, is: for the same calibration point, the energy intensity data of the impact at a height of h, i.e., the second energy intensity data;

[0183] Wherein, n is the number of probes, n=1…n; h is the striking height, h=1…h.

[0184] By using the second intensity energy measurement array (E0), the change of each second energy intensity data when the marked points at different positions are struck is determined, and further the law of the comprehensive change of the energy data monitored by all the probes when the marked points at different positions are struck is determined;

[0185] The probe distance array (K) and the second energy measurement array (E0) are brought into the preset first learning model to establish a damage intensity identification model.

[0186] Specifically, a plurality of marking points are tapped several times with different intensities by a tapping device. After each tapping, all probes will capture the acoustic emission signal and generate corresponding energy data. Different from the previous embodiment, this embodiment focuses on the change of energy data before and after each tapping, that is, the second energy intensity data.

[0187] In order to obtain the second energy intensity data, before each tapping, a reference energy value is recorded (which can be the background noise energy when there is no tapping or the stable energy value after the previous tapping). Then, after the tapping, the difference between the energy data obtained by each probe and the reference energy value is calculated to obtain the second energy intensity data.

[0188] Then, the second energy measurement array is calculated, and this array is used to record the second energy intensity data obtained by each probe under different striking forces;

[0189] Each element of the second energy measurement array represents the second energy intensity data of a marked point obtained by a specific probe under a specific knocking force and knocking number;

[0190] The calculated second energy measurement array can be used to observe and analyze the law of energy data changes monitored by each probe when different position markers are struck with different intensities. In particular, since the focus is on the second energy intensity data, the energy changes caused by the strike can be captured more sensitively.

[0191] Finally, the probe distance array and the second energy measurement array calculated previously are used as inputs to a preset first learning model (e.g., a time series machine learning model). This model can learn and extract the potential features and rules in the data, thereby establishing a damage intensity identification model.

[0192] In the process of establishing the damage intensity identification model, known damage intensity and corresponding energy data can be used as training sets. By continuously adjusting the parameters and structure of the model, the model can accurately predict the intensity of unknown damage. Once the model is established, it can be used to identify the damage intensity of new detection data.

[0193] Through the solution provided in this embodiment, a second energy measurement array is obtained, and a damage intensity identification model is established. This model provides a powerful tool for subsequent detection and evaluation work, and can greatly improve the accuracy and efficiency of detection.

[0194] In some embodiments, according to the energy signal measurement array (W0), any two sets of data are compared to obtain the difference data between the two sets of data, specifically referring to the following formula:

[0195]

[0196] Among them, the data within the group is: W i Any data in, such as: w n .

[0197] Among them, D iThe difference in energy data obtained by any two probes for the same marked point is:

[0198] in, is: the difference characteristics of the energy data monitored by the nth probe and the n-1th probe at the same marked point,

[0199] Among them, i is the marking point number, i=1…i; n is the number of probes, n=1…n; l is the number of tapping, l=1…l.

[0200] According to the probe distance array (K), energy signal measurement array (W0) and difference data (D i ) is brought into the preset second learning model to establish an acoustic emission energy signal positioning model;

[0201] Through the acoustic emission energy signal positioning model, the correction data is obtained, and the energy data received by the probe is corrected by the correction data to obtain the corrected energy data. The calibration positioning point is determined by the corrected energy data. The calibration positioning point can be used to more specifically determine the positioning point of the damaged crack of the detection material.

[0202] Specifically, in order to further improve the accuracy of positioning, the energy data of any two probes are compared according to the energy signal measurement array, and the difference between the energy data obtained by any two probes for the same marked point is calculated to obtain the difference data. These data reflect the monitoring differences of different probes at the same damage point, which is helpful to evaluate the monitoring accuracy and error of the probe.

[0203] Then, the probe distance array, energy signal measurement array and difference data are taken as input and brought into the preset second learning model (such as a neural network machine learning model). This model can learn and extract the potential features and rules in the data, thereby establishing an acoustic emission energy signal positioning model. During the model training process, known damage points and corresponding energy data are used as training sets. By continuously adjusting the parameters and structure of the model, the model can accurately predict the location of unknown damage points.

[0204] The new test data is processed using the transmitted energy signal positioning model to obtain correction data. This data is used to correct the energy data received by the probe to obtain more accurate corrected energy data. Then, the corrected energy data is used to determine the calibration positioning points, which can more specifically indicate the location of damaged cracks on the test material.

[0205] Through the solution provided in this embodiment, an acoustic emission energy signal positioning model is established, and the probe monitoring data is corrected. Through this method, accurate positioning of damaged cracks in the detected material can be achieved, providing a powerful tool for material damage monitoring and evaluation.

[0206] In some embodiments, the number of comparisons of data within any two groups is determined based on the number of probe settings;

[0207] When there are n probes, the number of comparisons between any probes is Second-rate.

[0208] Specifically, in order to perform multiple verification monitoring, it is necessary to determine the number of energy data comparisons between any two probes. The number of comparisons is determined according to the number of probes. When there are n probes, the number of comparisons between any two probes is C(n,2), that is, the number of combinations of selecting two probes from the n probes for comparison;

[0209] For example, when the number of probes is 3, the number of comparisons is C(3,2)=3 times; when the number of probes is 4, the number of comparisons is C(4,2)=6 times; when the number of probes is 5, the number of comparisons is C(5,2)=10 times, and so on.

[0210] In actual operation, the energy data of any two probes are compared according to the determined number of comparisons, and the difference data are obtained. These data reflect the monitoring differences of different probes at the same damage point, which is helpful to evaluate the monitoring accuracy and error of the probes.

[0211] Through the solution provided in this embodiment, the number of comparisons of energy data between any two probes is determined, and the positioning accuracy of the acoustic emission energy signal is further improved through multiple verification monitoring.

[0212] In some embodiments, the acoustic emission energy signal positioning model is used to compare any positioning point of the same probe with the corresponding calibration precise positioning point to obtain distance difference data, and correction data is obtained through the distance difference data. The positioning point is corrected through the correction data to obtain a precise damage crack point, and the following formula is specifically referred to:

[0213]

[0214]

[0215] Wherein, L is: the Euclidean distance between the monitoring data positioning point and the calibration precise positioning point, that is, the distance difference data;

[0216] Wherein, g is: the dimension of the positioning point;

[0217] Among them, p γs For: data point p γ The sth dimension value of ;

[0218] Among them, z ρs is: represents the calibration precise positioning point z ρThe sth dimension value of ;

[0219] Among them, ρ is: the number of positioning point clusters;

[0220] Among them, n ρ is: the number of data points in the ρth anchor point cluster;

[0221] Among them, Z ρ is: the ρth anchor point cluster.

[0222] Specifically, in order to further improve the positioning accuracy, the positioning points in the monitoring data were corrected. By comparing any positioning point of the same probe with the corresponding calibration precise positioning point, the distance difference data was obtained. This distance difference data reflects the Euclidean distance between the positioning point and the calibration point, that is, their straight-line distance in space.

[0223] Then, the correction data was calculated using the distance difference data and the information of the positioning point cluster. This correction data was used to correct the original positioning point to obtain a more accurate damage crack point. During the correction process, the number of positioning point clusters and the number of data points in each cluster were considered to ensure that the corrected positioning point can better reflect the actual damage crack position.

[0224] In addition, the advantages of multi-source calibration in improving positioning accuracy are also demonstrated. The multi-source calibration method not only considers the signal representation of the distance of the acoustic emission energy signal of the damage process on a single probe, but also calibrates the positioning data through the data difference between multiple probes. This multi-source calibration method does not simply analyze all the probe data together, but compares the data between every two probes, thereby ensuring the mutual verification of multi-source signals and reducing the impact of acoustic emission signal noise and single probe error on positioning accuracy.

[0225] Through the solution provided in this embodiment, the calibration positioning points are determined using the correction energy data, and the positioning points in the monitoring data are corrected to obtain accurate damage crack points; at the same time, the application of multi-source calibration methods further improves the positioning accuracy, providing more accurate and reliable data support for material damage monitoring and evaluation.

[0226] In some embodiments, the probe distance array (K), the second intensity energy measurement array (E0) and the first intensity energy measurement array (E s0 ), substituted into the preset damage intensity model to obtain more accurate damage intensity data, i.e., precise damage intensity data;

[0227] By combining the location points of damage cracks with precise damage intensity data, the precise area where damage occurs during the material loading damage process and its intensity can be tracked and clarified in real time.

[0228] Specifically, the probe distance array, the second intensity energy measurement array and the first intensity energy measurement array are preprocessed, including filtering, denoising, etc., to improve the accuracy and reliability of the data;

[0229] Then, the preprocessed probe distance array, the second intensity energy measurement array and the first intensity energy measurement array are substituted into a preset damage intensity model;

[0230] This preset damage strength model is built based on the LSTM (Long Short-Term Memory) time series algorithm. LSTM is a special recurrent neural network (RNN) that can effectively handle long-term dependencies in time series data. Therefore, it has advantages in damage strength prediction. These basic data are used as input. Through training and optimizing model parameters, the model can accurately predict the damage strength of materials under different loading conditions.

[0231] After the model training is completed, the model is used to process the new test data to obtain more accurate damage intensity data, namely, precise damage intensity data. These data reflect the damage intensity of different areas of the material during the loading process, providing richer damage information.

[0232] Finally, combined with the location points of the damage cracks and the precise damage intensity data, the material load damage process was tracked and visualized in real time. By comparing the location points and damage intensity data at different time points, the expansion and evolution of the damage in the material, as well as the damage intensity distribution in different areas, can be clearly seen. This provides strong support for evaluating the damage degree and durability of the material.

[0233] Through the solution provided in this embodiment, more accurate damage intensity data is obtained, and combined with the positioning points of the damaged cracks, real-time tracking of the material load damage process and clarification of the precise area and its damage intensity are achieved. This method provides more comprehensive and accurate data support for material damage monitoring and evaluation.

[0234] The device of this embodiment can be used to execute the method of any of the above embodiments. Its implementation principle and technical effects are similar and will not be described in detail here.

Claims

1. A method for crack location and fracture damage intensity identification based on acoustic emission energy multi-source calibration, characterized in that: The quasi-crack positioning and fracture damage intensity identification method is applicable to an acoustic emission device, a knocking device, an energy monitoring device and a terminal device. include: Wherein, the acoustic emission device includes at least three probes with acoustic emission function, and the size of the probes is set according to the actual detection material; the energy monitoring device is connected to several of the probes; The probes are evenly arranged on the surface of the test material, and the three-dimensional straight-line distances between any two adjacent probes are equal; Points are taken at several preset positions of the test material to obtain several marking points, and the marking points are knocked several times by the knocking device; each probe performs energy monitoring, obtains feedback from each knock, obtains several monitoring data, and sends the monitoring data to the energy monitoring device; Wherein, the monitoring data includes: energy data, first energy intensity data and second energy intensity data; By means of each of the marking points and each of the energy data, an energy signal measurement array (W0) and a probe distance array (K) between the marking point and each of the probes are calculated; and by means of each of the marking points and each of the second energy intensity data, a second energy measurement array (E0) is calculated; An acoustic emission energy signal positioning model is established through the probe distance array (K) and the energy signal measurement array (W0), and the positioning point of the damage crack of the detection material is determined through the acoustic emission energy signal positioning model, thereby determining the damage crack area of ​​the detection material; A damage intensity identification model is established through the probe distance array (K) between the marking point and each of the probes and the second energy measurement array (E0), and damage intensity data of the damaged crack area is determined through the damage intensity identification model; An acoustic emission energy signal positioning model is established through the probe distance array (K) and the energy signal measurement array (W0), and a plurality of positioning points of the damage cracks in the detection material are accurately determined through the acoustic emission energy signal positioning model; The damaged crack area, the damage intensity data and the plurality of positioning points are sent to the terminal device, and the internal damage condition of the test material is determined through the terminal device.

2. The method according to claim 1, characterized in that The energy signal measurement array (W0) and the probe distance array (K) between the mark point and each of the probes are calculated through each of the mark points and each of the energy data. The method comprises: Acquire the position data of each probe to obtain a plurality of probe position data, acquire the position data of a plurality of marking points to obtain a plurality of punctuation point position data; The number of distance groups is obtained by calculation according to the plurality of probe position data and the plurality of punctuation point position data, with specific reference to the following formula: Wherein, K is: the probe distance array between the marking point and each of the probes; in, is: the three-dimensional straight-line distance between the probe and the marking point; in, is: the distance between the probe and the marking point in the x-axis direction; in, is: the distance between the probe and the marking point in the y-axis direction; in, is: the distance between the probe and the marking point in the z-axis direction; Wherein, n is the number of the marking points, n=1, 2...n; m is the number of the probes, m=1, 2...m; Among them, x m is the spatial x-axis coordinate of the probe; n is the spatial x-axis coordinate of the marking point; Among them, y m is the spatial y-axis coordinate of the probe; n is the spatial y-axis coordinate of the marking point; Among them, z m is the spatial z-axis coordinate of the probe; n is the spatial z-axis coordinate of the marking point.

3. The method according to claim 2, characterized in that The energy signal measurement array (W0) and the probe distance array (K) between the mark point and each of the probes are calculated through each of the mark points and each of the energy data. The method comprises: Using the knocking device, knocking a number of the marking points a number of times with the same force; The energy signal measurement array is calculated through all the energy data and some of the punctuation point position data, and specifically refers to the following formula: W0=[w1…w n ] Wherein, W0 is: the energy signal measurement array; Among them, w n is: for the same marking point, all the energy data obtained by the nth probe; in, is: for the same marking point, the energy data of the lth strike obtained by the nth probe; Wherein, n is the number of the probes, n=1...n; l is the number of tapping, l=1...l. By using the energy signal measurement array (W0), the change of each energy data when the marking points at different positions are tapped is determined, and further the change pattern of the energy data monitored by each probe when the marking points at different positions are tapped is determined.

4. The method according to claim 3, characterized in that The method further comprises: By using the knocking device, a number of arbitrary points are knocked several times with different strengths; a number of first energy intensity data are obtained, and the first energy intensity data are sent to the energy monitoring device, The first intensity energy measurement array is calculated through all the first energy intensity data and a number of the arbitrary points, specifically referring to the following formula: AND s0 =[and s1 …And sn ] Among them, E s0 The first intensity energy measurement array is: Among them, e sn is: a set of the first energy intensity data of each tap at the same arbitrary point; in, The striking energy intensity data of the arbitrary point at a height h, i.e., the first energy intensity data; Wherein, n is the number of probes, n=1…n; h is the striking height, h=1…h. Wherein, the arbitrary point is: a knocking point on any surface of the detection material; By using the first intensity energy determination array (E s0 ), determine the change of each of the first energy intensity data when the arbitrary points at different positions are tapped, and then determine the change pattern of the total energy data monitored by all the probes when the arbitrary points at different positions are tapped.

5. The method according to claim 4, characterized in that The damage intensity identification model is established by using the probe distance array (K) between the marking point and each of the probes and the second intensity energy measurement array (E0), and the method further comprises: The knocking device is used to knock the marked points several times with different strengths; each probe obtains feedback from each knocking, obtains several second energy intensity data, and sends the several second energy intensity data to the energy monitoring device; The second intensity energy measurement array is calculated through all the second energy intensity data and a number of the punctuation point position data, specifically referring to the following formula: E0=[e1 … e n ] Wherein, E0 is: the second intensity energy measurement array; Among them, e n is: a set of the second energy intensity data of each tapping at the same calibration point; in, is: the energy intensity data of hitting at the same calibration point at a height of h, i.e., the second energy intensity data; Wherein, n is the number of probes, n=1…n; h is the striking height, h=1…h. By using the second intensity energy measurement array (E0), the change of each second energy intensity data when the marking points at different positions are tapped is determined, and further the law of the comprehensive change of the energy data monitored by all the probes when the marking points at different positions are tapped is determined; The probe distance array (K) and the second energy measurement array (E0) are brought into a preset first learning model to establish the damage intensity identification model.

6. The method according to claim 3, characterized in that The method further comprises establishing an acoustic emission energy signal positioning model through the probe distance array (K) and the energy signal measurement array (W0), and: According to the energy signal measurement array (W0), any two data in the group are compared to obtain the difference data between any two data in the group, specifically referring to the following formula: Among them, the data in the group is: W i Any data in, such as: w n ; Among them, D i The difference data of the energy data obtained by any two of the probes for the same marking point; in, is: the difference characteristics of the energy data monitored by the nth probe and the n-1th probe at the same marking point; Among them, i is the marking point number, i=1...i; n is the number of the probes, n=1...n; l is the number of tapping, l=1...l. According to the probe distance array (K), the energy signal measurement array (W0) and the difference data (D i ) brings in a preset second learning model to establish the acoustic emission energy signal positioning model; The correction data is obtained through the acoustic emission energy signal positioning model, and the energy data received by the probe is corrected through the correction data to obtain corrected energy data. The calibration positioning point is determined through the corrected energy data, and the positioning point of the damaged crack in the detection material can be judged more specifically through the calibration positioning point.

7. The method according to claim 6, characterized in that According to the energy signal determination array (W0), any two sets of data are compared to obtain difference data between any two sets of data, and the method further includes: Determine the number of comparisons between any two data in the groups according to the number of probes set; When there are n probes, the number of comparisons between any of the probes is Second-rate.

8. The method according to claim 6, characterized in that The calibration positioning point is determined by the correction energy data, and the positioning point of the damage crack of the detection material can be more specifically determined by the calibration positioning point. The method includes: By using the acoustic emission energy signal positioning model, any positioning point of the same probe is compared with the corresponding calibration precise positioning point to obtain distance difference data, and correction data is obtained by using the distance difference data. The positioning point is corrected by using the correction data, and then the precise damage crack point is obtained. For details, refer to the following formula: Wherein, L is: the Euclidean distance between the monitoring data positioning point and the calibration precise positioning point, that is, the distance difference data; Wherein, g is: the dimension of the positioning point; Among them, p ys For: data point p y The sth dimension value of ; Among them, z ρs is: represents the calibration precise positioning point z ρ The sth dimension value of ; Among them, ρ is: the number of positioning point clusters; Among them, n ρ is: the number of data points in the ρth anchor point cluster; Among them, Z ρ is: the ρth anchor point cluster.

9. The method according to claim 8, characterized in that The method further comprises: The probe distance array (K), the second intensity energy measurement array (E0) and the first intensity energy measurement array (E s0 ), substituted into the preset damage intensity model to obtain more accurate damage intensity data, i.e., precise damage intensity data; By combining the positioning point of the damage crack with the precise damage intensity data, the precise area where damage occurs during the material load damage process and the intensity of the damage can be tracked and clarified in real time.

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