CN111460702A - Structural part damage identification method based on forward and reverse damage feature fusion - Google Patents
Structural part damage identification method based on forward and reverse damage feature fusion Download PDFInfo
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Abstract
The invention discloses a structural part damage identification method based on forward and reverse damage characteristic fusion, which comprises the following steps: s1, measuring residual stress of the position where the structural part is easy to damage in real time; s2, calculating the progressive factor distortion rate based on the real-time residual stress value; s3, roughly selecting the damage position based on the progressive factor distortion rate; s4, judging whether the structural part is damaged or not based on the crack initiation-propagation critical criterion; s5, judging the damage degree of the structural part based on the split tip energy release process; and S6, judging damage identification of the reverse progressive factor based on the positive damage degree. The method is high in detection precision and has important practical significance for realizing structural part damage identification.
Description
Technical Field
The invention relates to a structural part damage identification method, in particular to a structural part damage identification method based on forward and reverse damage characteristic fusion.
Background
With the development and progress of society, large structural members have been increasingly appearing in the visual field of people and have become an important tool in the development of human society. However, with the development of large-scale structural members and the further deterioration of ultimate working environments, the small damage may cause great harm to the economic society, and the safety problem of large-scale structural members has become a key focus of the whole society. At present, most damage identification methods are developed based on detection parameters alone, and considering the regularity of the mechanism, the damage rule of the structural part cannot be comprehensively reflected by the detection parameters alone. Therefore, how to realize the accurate identification of the structural part damage through the establishment of the linkage mechanism between the mechanism model and the detection parameters on the basis of fully considering the mechanism model is a common problem in the research field.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a structural part damage identification method based on forward and reverse damage characteristic fusion.
5. The technical scheme is as follows: the invention provides a structural part damage identification method based on forward and reverse damage characteristic fusion, which comprises the following steps:
s1, measuring residual stress of the position where the structural part is easy to damage in real time;
s2, calculating the progressive factor distortion rate based on the real-time residual stress value;
s3, roughly selecting the damage position based on the progressive factor distortion rate;
s4, judging whether the structural part is damaged or not based on the crack initiation-propagation critical criterion;
s5, judging the damage degree of the structural part based on the split tip energy release process;
and S6, judging damage identification of the reverse progressive factor based on the positive damage degree.
Further, the measuring method in step S1 is as follows: introducing a finite element model of a structural part to be analyzed into finite element analysis software, and then meshing the structural part according to an automatic modeThe method comprises the following steps of dividing, applying a certain working condition load and boundary constraint conditions according to an actual working condition, starting a post-processing module to solve a finite element model under a dynamic stress module to obtain dynamic stress distribution and a maximum stress value, selecting 6 positions which are most prone to damage according to an analysis result as positions for next analysis, measuring residual stress of the 6 vulnerable positions under the actual working condition in real time on the basis of the 6 vulnerable positions after analysis, and fixing the residual stress value sigma of a time nodeiqRecording, wherein i is the number of the damage position, and i is 1, 2, 3.. 6; q represents a time node, q ═ 1, 2, 3m，tmIs the total monitoring time.
Further, the calculation method in step S2 is as follows: on the basis of the residual stress values of the real-time 6 vulnerable positions obtained by the S1 test, a progressive factor D of the residual stress values is firstly carried outiqThe calculation is carried out in such a way that,
wherein D isiqA residual stress progression factor at the qth time node corresponding to the i-th vulnerable location; sigmaiqIs the real-time residual stress value of the q time node of the i-th vulnerable position, q represents the time node, i is the number of the damaged position, tmIs the total monitoring time; c (sigma)iq)maxThe maximum value of all residual stress values of the q time nodes of all i-th vulnerable positions is obtained, and then the residual stress values are obtained according to a progressive factor DiqProgressive factor distortion rate J for real-time residual stress valuesiPerforming calculation with the time span of 0-tmIs measured during the total monitoring period of (a),
wherein, JiThe real-time residual stress progressive factor distortion rate of the ith vulnerable position; c (D)iq)maxMaximum of all residual stress progression factors for the ith vulnerable siteA value; c (D)iq)minThe minimum value of all residual stress progressive factors of the ith vulnerable position;
is the average of all residual stress progression factors for the ith vulnerable site.
Further, the roughing method in step S3 is: at 0-tmCalculating the distortion rate of the progressive factor of the ith vulnerable position based on the measured residual stress value, and selecting the distortion rate value to be [ α ]]The vulnerable site within the range serves as the rougher selected most likely site for the damaged structural member,
wherein α is the lower limit value of the progressive factor distortion range of the rough selection of the damage position, β is the upper limit value of the progressive factor distortion range of the rough selection of the damage position;
averaging the distortion rates of the residual stress progressive factors of all vulnerable positions; c (J)i)maxThe maximum value of the distortion factor of the residual stress progressive factor of all vulnerable positions is obtained; c (J)i)minThe minimum value of the residual stress progression factor distortion for all vulnerable sites, wherein,
further, the determination method in step S4 is: on the basis of the damage position determined in S3, stress-strain data of the damage position under the real-time working condition are collected in an experiment, and the collected stress-strain data are imported into finite element simulation software to carry out acoustic emission impact energy on the damage positionNiCalculating to obtain the number of the damage position, i, measuring the acoustic emission impact energy of the damage position under the actual working condition by using acoustic emission testing equipment, and measuring the measured value MiRecord if 1.05Ni≤Mi≤1.37NiThen the transient process from crack initiation to crack propagation occurs at the position i; if M isi＜1.05NiIf no, no substantial damage process has occurred at position i; if M isi＞1.37NiIf the environment condition is worse, the detection result is influenced, the measurement needs to be carried out again, and after the calculation is finished, the M is passediAnd NiThe decision of whether damage has occurred can be implemented by the composed criterion.
Further, the step S5 includes applying a load to the determined possible damage position based on the determination of whether the structural member has been damaged in S4, and performing acoustic emission crack tip impact L on the damage position immediately after the load is appliediCollecting and calculating, then continuously loading, and carrying out the impact H of the acoustic emission slow release process on the damaged position after the completioniPerforming acquisition calculation, and taking the damage degree coefficient as Si，
Wherein, LiAcoustic emission crack tip impact at the damage location; siIs a damage degree coefficient; hiThe impact quantity of the acoustic emission slow-release process of the damage position is obtained; miAcoustic emission impact energy of a damage position under actual working conditions; n is a radical ofiAcoustic emission impact energy for the damage location; i is the number of the lesion site.
Further, the identification method in step S6 is: distortion rate J according to the residual stress progression factor calculated in S2iAnd the damage degree coefficient S determined in S5iDamage ratio W for each damage siteiThe calculation is carried out in such a way that,
wherein, WiThe damage rate for each damage location; j. the design is a squareiThe factor distortion rate is progressive for residual stress; c (J)i)maxThe maximum value of the distortion factor of the residual stress progressive factor of all vulnerable positions is obtained;
averaging the distortion rates of the residual stress progressive factors of all vulnerable positions; siIs a damage degree coefficient;
the average value of the damage degree coefficient; c (S)i)maxIs the maximum value of the damage degree coefficient,
wherein, the number of the determined damage positions after the determination of the step S4 is determined.
Has the advantages that: the method can realize rough selection of the damage position through the distortion rate of the residual stress progressive factor, then form a combined damage classification strategy according to the critical criterion of crack initiation-expansion and the staged criterion of the crack tip energy release process, and combine the strategy mechanism with the detected residual stress progressive factor to determine the damage position, thereby being beneficial to accurately identifying the specific damage condition of the large structural member and further better improving the use safety of the large structural member.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
As shown in fig. 1, the structural component damage identification method based on forward and backward damage feature fusion of the present embodiment includes the following steps:
s1, measuring residual stress of a position where a structural part is easy to damage in real time:
the method comprises the steps of introducing a finite element model of a structural part to be analyzed into finite element analysis software ANSYS, dividing the structural part into grids according to an automatic mode, applying a certain working condition load and boundary constraint conditions according to actual working conditions, starting a post-processing module to solve the finite element model under a dynamic stress module to obtain dynamic stress distribution and a maximum stress value, and selecting 6 positions which are most prone to damage according to an analysis result as key positions of next key analysis.
On the basis of the analyzed 6 vulnerable positions, measuring the residual stress of the 6 vulnerable positions under the actual working condition in real time, and determining the residual stress value sigma of the fixed time nodeiqAnd recording is carried out. (i is the number of the lesion site, i is 1, 2, 3.. 6; q represents a time node, q is 1, 2, 3.. tm，tmFor total monitoring time)
S2, calculating the progressive factor distortion rate based on the real-time residual stress value:
on the basis of the residual stress values of the real-time 6 vulnerable positions obtained by the S1 test, a progressive factor D of the residual stress values is firstly carried outiqAnd (6) performing calculation.
Wherein D isiqA residual stress progression factor at the qth time node corresponding to the i-th vulnerable location; sigmaiqIs the real-time residual stress value of the q time node of the i-th vulnerable position, q represents the time node, i is the number of the damaged position, tmIs the total monitoring time; c (sigma)iq)maxThe maximum value of all residual stress values of the q time nodes of all the i-th vulnerable positions.
Then according to a progressive factor DiqProgressive factor distortion rate J for real-time residual stress valuesiPerforming calculation with the time span of 0-tmThe total monitoring time period of (a).
Wherein, JiThe real-time residual stress progressive factor distortion rate of the ith vulnerable position; c (D)iq)maxThe maximum value of all residual stress progressive factors of the ith vulnerable position; c (D)iq)maxThe minimum value of all residual stress progressive factors of the ith vulnerable position;
is the average of all residual stress progression factors for the ith vulnerable site.
S3, roughly selecting damage positions based on the progressive factor distortion rate:
at 0-tmCalculating the distortion rate of the progressive factor of the ith vulnerable position based on the measured residual stress value, and selecting the distortion rate value to be [ α ]]The vulnerable site within the range serves as the site of the rougher selected structural member that is most likely to be damaged.
Wherein α is the lower limit value of the progressive factor distortion range of the rough selection of the damage position, β is the upper limit value of the progressive factor distortion range of the rough selection of the damage position;
averaging the distortion rates of the residual stress progressive factors of all vulnerable positions; c (J)i)maxThe maximum value of the distortion factor of the residual stress progressive factor of all vulnerable positions is obtained; c (J)i)minThe minimum value of the residual stress progression factor distortion rate is the minimum value of all vulnerable positions.
S4, judging whether the structural part is damaged or not based on the crack initiation-expansion critical criterion:
on the basis of the damage positions determined in the S3, stress and strain data of a plurality of damage positions under the real-time working condition are collected in an experiment, and the collected stress and strain data are led into finite element simulation software to conduct acoustic emission impact energy N of the damage positionsiCalculating to obtain the number of the damage position, measuring the acoustic emission impact energy of the damage positions under the actual working condition by using an acoustic emission testing device, and measuring a measured value MiRecord (i is the number of the damage location).
If 1.05Ni≤Mi≤1.37NiThen the transient process from crack initiation to crack propagation occurs at the position i; if M isi＜1.05NiIf no, no substantial damage process has occurred at position i; if M isi＞1.37NiAnd if the environment condition is worse, the detection result is influenced, and the measurement needs to be carried out again. After the calculation is finished, passing through MiAnd NiThe basic decision of whether damage has occurred can be realized by the composed criterion.
S5, judging the damage degree of the structural part based on the split tip energy release process:
on the basis of judging whether the structural part finished in the S4 has damage or not, 100KN is applied to the judged possible damage position, a load with the loading frequency of 2HZ is loaded, the load loading time is 2 minutes, and the acoustic emission tip cracking impact quantity L is carried out on the damage position immediately after the loading is finishediCollecting and calculating, continuously loading for 2 minutes, and carrying out acoustic emission slow release process on the damaged position after the gap is 1 minuteiAnd carrying out acquisition calculation.
Taking the damage degree coefficient as Si
Wherein, LiAcoustic emission crack tip impact at the damage location; siIs a damage degree coefficient; hiThe impact quantity of the acoustic emission slow-release process of the damage position is obtained; miAcoustic emission impact energy of a damage position under actual working conditions; n is a radical ofiAcoustic emission impact energy for the damage location; i is the number of the lesion site.
S6, judging damage identification based on the forward damage degree and the reverse progressive factor distortion rate:
distortion rate J according to the residual stress progression factor calculated in S2iAnd the damage degree coefficient S determined in S5iDamage ratio W for each damage siteiAnd (6) performing calculation.
Wherein, WiThe damage rate for each damage location; j. the design is a squareiThe factor distortion rate is progressive for residual stress; c (J)i)maxThe maximum value of the distortion factor of the residual stress progressive factor of all vulnerable positions is obtained;
averaging the distortion rates of the residual stress progressive factors of all vulnerable positions; siIs a damage degree coefficient;
the average value of the damage degree coefficient; c (S)i)maxThe maximum value of the damage degree coefficient.
Wherein, the number of the determined damage positions after the determination of the step S4 is determined.
Claims (7)
1. A structural part damage identification method based on forward and reverse damage feature fusion is characterized by comprising the following steps: the method comprises the following steps:
s1, measuring residual stress of the position where the structural part is easy to damage in real time;
s2, calculating the progressive factor distortion rate based on the real-time residual stress value;
s3, roughly selecting the damage position based on the progressive factor distortion rate;
s4, judging whether the structural part is damaged or not based on the crack initiation-propagation critical criterion;
s5, judging the damage degree of the structural part based on the split tip energy release process;
and S6, judging damage identification of the reverse progressive factor based on the positive damage degree.
2. The structural member damage identification method based on forward and reverse damage feature fusion according to claim 1, characterized in that: the measuring method in the step S1 is as follows: introducing a finite element model of a structural part to be analyzed into finite element analysis software, then dividing the structural part into grids according to an automatic mode, applying a certain working condition load and boundary constraint conditions according to actual working conditions, starting a post-processing module to solve the finite element model under a dynamic stress module to obtain dynamic stress distribution and maximum stress values, selecting 6 positions which are most easily damaged as positions for next analysis according to analysis results, measuring the residual stress of the 6 easily damaged positions under the actual working conditions in real time on the basis of the 6 easily damaged positions after analysis, and measuring the residual stress value sigma of a fixed time nodeiqRecording, wherein i is the number of the damage position, and i is 1, 2, 3.. 6; q represents a time node, q ═ 1, 2, 3m，tmIs the total monitoring time.
3. The structural member damage identification method based on forward and reverse damage feature fusion as claimed in claim 2, wherein: the calculation method of the step S2 is as follows: on the basis of the residual stress values of the real-time 6 vulnerable positions obtained by the S1 test, a progressive factor D of the residual stress values is firstly carried outiqThe calculation is carried out in such a way that,
wherein D isiqCorresponding to the i-th vulnerable position at the q-th timeA residual stress progression factor at the junction; sigmaiqIs the real-time residual stress value of the q time node of the i-th vulnerable position, q represents the time node, i is the number of the damaged position, tmIs the total monitoring time; c (sigma)iq)maxThe maximum value of all residual stress values of the q time nodes of all i-th vulnerable positions is obtained, and then the residual stress values are obtained according to a progressive factor DiqProgressive factor distortion rate J for real-time residual stress valuesiPerforming calculation with the time span of 0-tmIs measured during the total monitoring period of (a),
wherein, JiThe real-time residual stress progressive factor distortion rate of the ith vulnerable position; c (D)iq)maxThe maximum value of all residual stress progressive factors of the ith vulnerable position; c (D)iq)minThe minimum value of all residual stress progressive factors of the ith vulnerable position;
is the average of all residual stress progression factors for the ith vulnerable site.
4. The structural member damage identification method based on forward and reverse damage feature fusion as claimed in claim 3, wherein: the step S3 rough selection method includes: at 0-tmCalculating the distortion rate of the progressive factor of the ith vulnerable position based on the measured residual stress value, and selecting the distortion rate value to be [ α ]]The vulnerable site within the range serves as the rougher selected most likely site for the damaged structural member,
wherein α is the lower limit value of the progressive factor distortion range of the rough selection of the damage position, β is the upper limit value of the progressive factor distortion range of the rough selection of the damage position;
averaging the distortion rates of the residual stress progressive factors of all vulnerable positions; c (J)i)maxThe maximum value of the distortion factor of the residual stress progressive factor of all vulnerable positions is obtained; c (J)i)minThe minimum value of the residual stress progression factor distortion for all vulnerable sites, wherein,
5. the structural member damage identification method based on forward and reverse damage feature fusion as claimed in claim 4, wherein: the determination method in step S4 is: on the basis of the damage position determined in S3, stress-strain data of the damage position under the real-time working condition are collected in an experiment, and the collected stress-strain data are imported into finite element simulation software to carry out acoustic emission impact energy N on the damage positioniCalculating to obtain the number of the damage position, i, measuring the acoustic emission impact energy of the damage position under the actual working condition by using acoustic emission testing equipment, and measuring the measured value MiRecord if 1.05Ni≤Mi≤1.37NiThen the transient process from crack initiation to crack propagation occurs at the position i; if M isi＜1.05NiIf no, no substantial damage process has occurred at position i; if M isi＞1.37NiIf the environment condition is worse, the detection result is influenced, the measurement needs to be carried out again, and after the calculation is finished, the M is passediAnd NiThe decision of whether damage has occurred can be implemented by the composed criterion.
6. The method of claim 5The structural component damage identification method based on forward and reverse damage characteristic fusion is characterized in that the step S5 is that on the basis of the judgment of whether the structural component is damaged or not in S4, load is applied to the judged possible damage position, and after the load is applied, acoustic emission crack tip impact quantity L is carried out on the damage position immediatelyiCollecting and calculating, then continuously loading, and carrying out the impact H of the acoustic emission slow release process on the damaged position after the completioniPerforming acquisition calculation, and taking the damage degree coefficient as Si，
Wherein, LiAcoustic emission crack tip impact at the damage location; siIs a damage degree coefficient; hiThe impact quantity of the acoustic emission slow-release process of the damage position is obtained; miAcoustic emission impact energy of a damage position under actual working conditions; n is a radical ofiAcoustic emission impact energy for the damage location; i is the number of the lesion site.
7. The structural member damage identification method based on forward and reverse damage feature fusion as claimed in claim 6, wherein: the identification method in step S6 is: distortion rate J according to the residual stress progression factor calculated in S2iAnd the damage degree coefficient S determined in S5iDamage ratio W for each damage siteiThe calculation is carried out in such a way that,
wherein, WiThe damage rate for each damage location; j. the design is a squareiThe factor distortion rate is progressive for residual stress; c (J)i)maxThe maximum value of the distortion factor of the residual stress progressive factor of all vulnerable positions is obtained;
residual stress for all vulnerable sitesAn average of the progressive factor distortion rate; siIs a damage degree coefficient;
the average value of the damage degree coefficient; c (S)i)maxIs the maximum value of the damage degree coefficient,
wherein, the number of the determined damage positions after the determination of the step S4 is determined.
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