CN114383834A - Ocean engineering structure micro-damage judgment method - Google Patents
Ocean engineering structure micro-damage judgment method Download PDFInfo
- Publication number
- CN114383834A CN114383834A CN202210036234.6A CN202210036234A CN114383834A CN 114383834 A CN114383834 A CN 114383834A CN 202210036234 A CN202210036234 A CN 202210036234A CN 114383834 A CN114383834 A CN 114383834A
- Authority
- CN
- China
- Prior art keywords
- engineering structure
- frequency
- ocean engineering
- intact
- frequency matrix
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/04—Ageing analysis or optimisation against ageing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- Evolutionary Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computing Systems (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention provides a method for judging tiny damage of an ocean engineering structure, which comprises the following steps: measuring the dynamic response time-course data of the intact ocean engineering structure for multiple times; determining the former n-order modal frequency according to the dynamic response time-course data based on a modal parameter identification method; combining modal frequencies obtained by each test to obtain a perfect frequency matrix; obtaining a frequency matrix to be tested of the ocean engineering structure to be tested by adopting the same method; performing linear discrimination analysis on the intact frequency matrix and the frequency matrix to be detected to obtain an intact frequency residual error and a frequency residual error to be detected; and determining whether the ocean engineering structure to be detected is damaged or not based on a hypothesis testing technology. The original frequency matrix is processed by using a linear discriminant analysis method, the influence of environmental factor change on the structural vibration characteristic is effectively eliminated, the frequency residual error reflecting structural health information is obtained, and the accurate judgment on the micro-damage state of the structure is realized by matching with a statistical hypothesis testing technology.
Description
The application is a divisional application of a patent application named as a method for determining the tiny damage of the ocean engineering structure, wherein the application date of the original application is 09, 14 and 2020, and the application number is 202010960246.9.
Technical Field
The invention relates to the field of ship and ocean engineering, in particular to a method for judging tiny damage of an ocean engineering structure under the conditions of environmental factors and noise interference.
Background
Ocean engineering structures such as ocean platforms and offshore wind turbines are basic facilities for ocean oil gas and wind energy resource development, and are in severe ocean environments for a long time, fatigue accumulation damage is easy to occur, structure failure is caused, and huge economic loss is caused. Therefore, the method is very important for carrying out damage detection on the ocean engineering structure.
The common method for detecting the structural damage of the ocean engineering at the present stage can be summarized into local detection and overall detection, wherein the local detection method starts earlier and develops relatively mature; for example, magnetic particle inspection, ray inspection, ultrasonic guided wave inspection and the like are adopted, but the method is only limited to a local area of the structure and is difficult to reflect the whole state information of the structure; in addition, the local detection position needs to be determined in advance, and the detection efficiency is extremely low when the damage position is unknown. In contrast, the integral detection method based on the structural vibration characteristics can completely reflect the integral state information of the structure, can provide enough structural performance evolution and degradation information, is particularly suitable for monitoring the ocean engineering structure in real time, and can provide certain guiding significance for the structure life evaluation and maintenance reinforcement decision. The basic principle is as follows: the damage of the structure can cause the change of the physical characteristics of the structure, thereby changing the modal parameters of the structure; and the overall state information of the structure is inverted by obtaining the modal parameters reflecting the physical characteristics of the structure. Common modal parameters are frequency, mode shape, damping ratio, and multi-parameter derivatives.
With the rapid improvement of computer level and data acquisition capability, the overall detection method based on modal parameters is greatly developed. It is noted that most of these methods do not consider the influence of changes in marine environmental factors on the performance of damage detection. The change of the marine environmental factors such as temperature, marine organism attachment, basic scouring and the like can also cause the change of the physical characteristics of the structure, influence the change of the modal parameters of the structure, and even cover the change of the modal parameters caused by the real damage of the structure, especially for early/micro damage. The detection of the tiny damage of the ocean engineering structure considering environmental factors and noise pollution is a difficult problem to be solved urgently at present.
The early detection and diagnosis of the early/small damage of the structure are carried out, the effective structural operation state evaluation is carried out, and the method has important practical value for the safe operation guarantee of the ocean engineering structure.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a method for judging the micro-damage of the ocean engineering structure, which realizes the judgment of the micro-damage of the ocean engineering structure under the environment and noise pollution and has certain guiding significance for early warning and maintenance reinforcement decision of the structure.
In order to achieve the purpose, the invention provides the following scheme:
a method for judging tiny damage of an ocean engineering structure comprises the following steps:
in an actual operation environment, measuring the dynamic response time-course data of the intact ocean engineering structure for multiple times by using a sensor;
determining the first n-order modal frequency of the intact ocean engineering structure according to the dynamic response time-course data of the intact ocean engineering structure based on a modal parameter identification method;
combining modal frequencies obtained by each test to obtain a perfect frequency matrix;
in an actual operation environment, measuring the dynamic response time-course data of the ocean engineering structure to be measured by using a sensor for multiple times;
determining the front n-order modal frequency of the ocean engineering structure to be detected according to the dynamic response time course data of the ocean engineering structure to be detected based on a modal parameter identification method;
combining modal frequencies obtained by each test to obtain a frequency matrix to be tested;
performing linear discrimination analysis on the intact frequency matrix and the frequency matrix to be detected, and solving the projection direction with optimized classification performance of the intact frequency matrix and the frequency matrix to be detected to obtain an intact frequency residual error and a frequency residual error to be detected;
and determining whether the ocean engineering structure to be detected is damaged or not according to the intact frequency residual error and the frequency residual error to be detected based on a hypothesis testing technology.
Optionally, the number of sensors is one.
Optionally, the sensor is an acceleration sensor or a displacement sensor.
Optionally, the good frequency matrix is:
wherein, ω ishIs a perfect frequency matrix, h represents a perfect ocean engineering structure, m is the total times of vibration tests,for the first n-order modal frequency of the intact ocean engineering structure obtained for the j-th measurement,and obtaining the ith order modal frequency of the intact ocean engineering structure for the jth measurement.
Optionally, the frequency matrix to be measured is:
wherein, ω iscIs a frequency matrix to be tested, c represents the ocean engineering structure to be tested, m is the total times of vibration tests,for the first n-order modal frequency of the ocean engineering structure to be measured obtained by the jth measurement,and obtaining the ith order modal frequency of the ocean engineering structure to be measured for the jth measurement.
Optionally, performing linear discriminant analysis on the perfect frequency matrix and the frequency matrix to be measured, and solving a projection direction with optimized classification performance of the perfect frequency matrix and the frequency matrix to be measured to obtain a perfect frequency residual error and a frequency residual error to be measured, which specifically includes:
respectively carrying out averaging treatment on the intact frequency matrix and the frequency matrix to be detected to obtain a modal frequency matrix of the intact ocean engineering structure and a modal frequency matrix of the ocean engineering structure to be detected;
determining the intra-class variance of the modal frequency matrix of the intact ocean engineering structure according to the modal frequency matrix of the intact ocean engineering structure;
determining the intra-class variance of the modal frequency matrix of the ocean engineering structure to be detected according to the modal frequency matrix of the ocean engineering structure to be detected;
determining an intra-class variance sum according to the intra-class variance of the modal frequency matrix of the intact ocean engineering structure and the intra-class variance of the modal frequency matrix of the ocean engineering structure to be tested;
determining the optimal classification performance projection vector of the intact frequency matrix and the frequency matrix to be detected according to the intra-class variance;
and according to the optimal classification performance projection vector, carrying out projection and dimension reduction treatment on the intact frequency matrix and the frequency matrix to be detected to obtain corresponding intact frequency residual error and frequency residual error to be detected.
Optionally, the modal frequency matrix of the intact ocean engineering structure is:
wherein m ishIs a modal frequency matrix of an intact ocean engineering structure,modal frequency matrix m for intact ocean engineering structurehThe average value of the ith row in the test is obtained, and n is the order of the ocean engineering structure to be tested;
the modal frequency matrix of the ocean engineering structure to be tested is as follows:
wherein m iscIs a modal frequency matrix of the ocean engineering structure to be measured,modal frequency matrix omega for ocean engineering structure to be measuredcAverage value of the ith row in (1).
Optionally, the intra-class variance sum is determined according to the following formula:
wherein S iswIs the sum of the intra-class variances,is a sound ocean engineering knotThe intra-class variance of the constructed modal frequency matrix,is the intra-class variance of the modal frequency matrix of the ocean engineering structure to be tested, m is the total times of vibration test,for the first n-order modal frequency of the intact ocean engineering structure obtained for the j-th measurement,obtaining the first n-order modal frequency m of the ocean engineering structure to be measured for the jth measurementhModal frequency matrix, m, for a sound marine engineering structurecThe method comprises the following steps that T represents transposition operation of a matrix for a modal frequency matrix of the ocean engineering structure to be detected;
determining an optimal classification performance projection vector according to the following formula:
P=Sw -1(mh-mc);
determining a complete frequency residual error and a frequency residual error to be detected according to the following formula;
wherein the content of the first and second substances,in order to be a good frequency residual,is the frequency residual error to be measured.
Optionally, the determining, based on the hypothesis testing technique, whether the ocean engineering structure to be tested is damaged according to the sound frequency residual and the frequency residual to be tested specifically includes:
calculating a statistical hypothesis test quantity value according to the mean value of the intact frequency residual errors, the mean value of the to-be-tested frequency residual errors, the standard deviation of the intact frequency residual errors and the standard deviation of the to-be-tested frequency residual errors;
calculating a hypothesis test quantity threshold based on the statistical hypothesis test quantity value and the confidence level;
and comparing the absolute value of the hypothesis testing quantity value with the size of the hypothesis testing quantity threshold value, if the absolute value of the hypothesis testing quantity value is smaller than or equal to the hypothesis testing quantity threshold value, judging that the ocean engineering structure to be tested is damaged, and if the absolute value of the hypothesis testing quantity value is larger than the hypothesis testing quantity threshold value, judging that the ocean engineering structure to be tested is not damaged.
Optionally, the statistical hypothesis test magnitude is determined according to the following equation:
where t is the statistical hypothesis test quantity, μhIs the mean of the perfect frequency residual, mucIs the mean value, σ, of the frequency residual to be measuredhStandard deviation of perfect frequency residual, σcThe standard deviation of the frequency residual error to be measured is obtained;
the hypothesis test quantity threshold is calculated according to the following formula:
P(t<t*)=1-α/2;
where α is the confidence level, t*Is a hypothesis test quantity threshold.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the original frequency matrix is processed by using a linear discriminant analysis method, so that the influence of environmental factor change on the structural vibration characteristic is effectively eliminated, a frequency residual capable of reflecting structural health information is obtained, and the accurate judgment on the tiny damage state of the structure is realized by using an effective statistical hypothesis testing technology in a matching manner;
moreover, only the vibration response of the structure needs to be measured, the current environmental factors do not need to be measured, only the intact ocean platform and the damaged ocean platform need to be measured in a short term respectively, and long-term continuous monitoring is not needed; the damage judgment process can be completed by only arranging one sensor, so that the difficulty of damage detection is greatly reduced, and the cost is saved;
the method realizes judgment of the micro damage of the ocean engineering structure under environmental and noise pollution, is beneficial to finding the early damage/micro damage of the structure, and has certain guiding significance for early warning and maintenance reinforcement decision of the structure.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic diagram of a finite element model of an offshore wind turbine structure according to an embodiment of the present invention; (a) the part is a numbering schematic diagram of structural nodes of the offshore wind turbine, (b) the part is a numbering schematic diagram of structural units of the offshore wind turbine, (b) 14 in the part is an inclined strut unit, and 10 is a cross strut unit;
FIG. 2 is a diagram showing the result of the determination of the small damage under the influence of no noise and environmental factors;
fig. 3 is a diagram showing the result of the determination of the micro damage under the influence of 0.15% noise and environmental factors.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a method for judging the tiny damage of an ocean engineering structure, which is characterized in that an original frequency matrix is processed by using a linear discriminant analysis method, so that the influence of environmental factor change on the vibration characteristic of the structure is effectively eliminated, the damage judgment process can be completed by only arranging one sensor, the difficulty of damage detection is greatly reduced, and the cost is saved.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
A method for judging tiny damage of an ocean engineering structure comprises the following steps:
firstly, carrying out vibration test on a perfect ocean engineering structure in an actual operation environment to obtain a perfect frequency matrix of the structure.
And secondly, performing vibration test on the ocean engineering structure to be tested in the actual operation environment to obtain a frequency matrix to be tested of the structure, wherein whether the ocean engineering structure to be tested is damaged is unknown.
And thirdly, solving the projection direction with the optimized classification performance of the intact frequency matrix to be detected and the frequency matrix to be detected by carrying out linear discrimination analysis on the intact frequency matrix and the frequency matrix to be detected to obtain an intact frequency residual error and a frequency residual error to be detected of the ocean engineering structure.
The fourth step: and carrying out structural damage judgment on the intact frequency residual error and the frequency residual error to be detected by a hypothesis testing technology.
Specifically, the following describes the determination method in detail with reference to specific embodiments:
in the first step, a vibration test is carried out on an intact ocean engineering structure in an actual working environment, and the specific steps of obtaining a frequency matrix of the intact ocean engineering structure are as follows:
(1) in an actual working environment, an acceleration sensor or a displacement sensor is used for measuring the complete dynamic response time-course data of the ocean engineering structure.
(2) Based on a modal parameter identification method, acquiring the first n-order modal frequency of the ocean engineering structure according to the dynamic response time-course data of the intact ocean engineering structure, wherein the jth timeMeasuring the obtained ith order modal frequency toAnd (4) showing.
(3) And (3) performing m vibration tests in total, combining the frequencies obtained by the tests to construct a complete frequency matrix omega of the structureh
In the second step, the marine engineering structure to be tested in the actual operation environment is subjected to vibration test, and the specific steps of obtaining the frequency matrix to be tested of the marine engineering structure are as follows:
the method comprises the steps of carrying out m-time vibration test on a damaged ocean engineering structure, and constructing a frequency matrix omega of the ocean engineering structure to be tested according to the step of obtaining the frequency vibration mode of the intact structure of the ocean engineeringc
Wherein the first n-th order modal frequency obtained by the jth measurement is calculated byAnd (4) showing.
In the third step, the interference of environmental factors is eliminated by performing linear discrimination analysis on the intact frequency matrix and the frequency matrix to be detected, and the concrete steps of obtaining the intact frequency residual error and the frequency residual error to be detected are as follows:
(1) respectively carrying out equalization processing on the intact frequency matrix and the frequency matrix to be measured, whereinAndmodal frequency moment representing intact ocean engineering structure and ocean engineering structure to be measuredArray omegahAnd ωcAverage value of the ith row in (1).
(2) Analyzing to obtain the frequency matrix of the intact ocean engineering structure and the intra-class variance and S of the frequency matrix of the ocean engineering structure to be detectedwWhereinAndthe intra-class variance of the modal frequency matrix expressed as the intact ocean engineering structure and the ocean engineering structure to be measured is as follows:
(3) calculating to obtain the optimal classification performance projection vectors of the intact frequency matrix and the frequency matrix to be measured:
P=Sw -1(mh-mc) (7)
(4) projecting and reducing the dimension of the frequency matrix of the intact ocean engineering structure and the frequency matrix of the ocean engineering structure to be detected through the projection vector P to obtain corresponding intact frequency residual error and frequency residual error to be detected:
wherein, formula (8) is the perfect frequency residual, and formula (9) is the frequency residual to be measured.
And in the fourth step, judging the structural damage of the intact frequency residual error and the frequency residual error to be detected by a hypothesis testing technology, and specifically comprising the following steps of:
(1) assuming the mean of the intact frequency residual and the frequency residual to be measured to be equal to the original hypothesis H0The average values are assumed to be unequal H1:
H0:μh=μc (10)
H1:μh≠μc (11)
(2) Statistical hypothesis test magnitudes were calculated, where μ and σ represent the mean and standard deviation of the frequency residuals:
(3) determining a confidence level alpha, calculating a hypothesis testing quantity threshold t*:
P(t<t*)=1-α/2 (13)
(4) Comparing the hypothesis test magnitude | t | with a test magnitude threshold t*And judging whether the ocean engineering structure is damaged:
the judgment criterion is as follows: if the hypothesis testing magnitude is larger than the threshold value, rejecting the original hypothesis and considering that the structure is damaged; otherwise, the structure is considered not to be damaged.
To verify the effectiveness of the above method, a typical marine offshore wind turbine structure is illustrated as follows:
firstly, establishing a finite element model:
as shown in fig. 1 (a) and 1 (b), the marine wind turbine structure under simulation study in this embodiment is composed of a support structure and a tower structure, and includes 18 nodes (fig. 1 (a) and 1-18) and 20 units (fig. 1 (b) and 1-20). And (3) writing a finite element program by using MATLAB software, and establishing a finite element model by using a computer to serve as a reference finite element model of an intact ocean platform. And then, simulating different damage working conditions under different working environments to obtain the modal frequency simulating actual measurement. The method simulates various damage working conditions, including damage at different positions and damage in different degrees.
Second, simulation of structural damage and environmental conditions
When the ocean engineering structure is damaged, the overall rigidity of the material is lost, and the material is uniformly simplified into that the elastic modulus on a damaged unit is uniformly weakened. Meanwhile, the overall rigidity of the structure is also affected by changes of environmental conditions, wherein the most typical environmental conditions include temperature, basic scouring and the like, and in the embodiment, temperature factors are selected for simulation. The change of temperature generally causes the change of the elastic modulus of the material, and further influences the rigidity of the ocean platform, and experimental research shows that the elastic modulus and the temperature present a strong linear relationship
E(Tt)=E(T0)+τ(Tt-T0) (16)
Wherein E (T)0) For the value of the modulus of elasticity in the reference state, the temperature is usually set to 10 ℃ and the corresponding modulus of elasticity is 2.06X 1011Pa; tau is the coefficient of variation of the elastic modulus of steel with temperature and is taken as 1 x 108Pa/℃。
The method is characterized in that the intact and damaged offshore wind turbine structure is supposed to be tested for 1000 times, the temperature difference between the seawater and the air is considered, the temperature in the air is supposed to be subjected to standard normal distribution with the mean value of 10 ℃ and the standard deviation of 8 ℃, and the temperature in the seawater is supposed to be subjected to standard normal distribution with the mean value of 15 ℃ and the standard deviation of 4 ℃.
Thirdly, analyzing damage judgment result
The scheme of the invention is utilized to judge the micro damage of the offshore wind turbine structure, and four working conditions are considered as follows: the working condition I is as follows: the bracing unit is damaged by 1%; working conditions are as follows: 1% of damage to the cross brace unit; working conditions are as follows: the bracing unit is damaged by 3%; working conditions are as follows: 3% of damage to the cross brace unit; and (4) adopting 50 times of repeated tests in each working condition, and calculating the accuracy of judging the tiny damage.
As shown in fig. 2 (a) and 2 (b), the results of the determination of the small damage under the influence of no noise and environmental factors are shown; as shown in fig. 3 (a) and 3 (b), under the influence of no noise, the test statistic of the four damage conditions is assumed to be much larger than the test statistic threshold (1.96), so that the damage determination accuracy of the four damage conditions is 100%; under the influence of 0.15% noise, only 7 times (working condition one) are judged to be healthy by mistake, other 193 times of repeated tests can accurately judge the micro damage of the structure, and the micro damage judgment accuracy rate is 96.5%.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A method for judging the tiny damage of an ocean engineering structure is characterized by comprising the following steps:
in an actual operation environment, measuring the dynamic response time-course data of the intact ocean engineering structure for multiple times by using a sensor;
determining the first n-order modal frequency of the intact ocean engineering structure according to the dynamic response time-course data of the intact ocean engineering structure based on a modal parameter identification method;
combining modal frequencies obtained by each test to obtain a perfect frequency matrix;
in an actual operation environment, measuring the dynamic response time-course data of the ocean engineering structure to be measured by using a sensor for multiple times;
determining the front n-order modal frequency of the ocean engineering structure to be detected according to the dynamic response time course data of the ocean engineering structure to be detected based on a modal parameter identification method;
combining modal frequencies obtained by each test to obtain a frequency matrix to be tested;
performing linear discrimination analysis on the intact frequency matrix and the frequency matrix to be detected, and solving the projection direction with optimized classification performance of the intact frequency matrix and the frequency matrix to be detected to obtain an intact frequency residual error and a frequency residual error to be detected;
and determining whether the ocean engineering structure to be detected is damaged or not according to the intact frequency residual error and the frequency residual error to be detected based on a hypothesis testing technology.
2. The method for determining the minor damage of the oceanographic engineering structure according to claim 1, wherein the number of the sensors is one.
3. The method for determining the minor damage of the oceaneering structure according to claim 2, wherein the sensor is an acceleration sensor or a displacement sensor.
4. The method for determining the micro damage of the ocean engineering structure according to claim 1, wherein the intact frequency matrix is:
wherein, ω ishIs a perfect frequency matrix, h represents a perfect ocean engineering structure, m is the total times of vibration tests,for the j measurementThe first n-order modal frequency of the intact ocean engineering structure is obtained,and obtaining the ith order modal frequency of the intact ocean engineering structure for the jth measurement.
5. The method for determining the micro damage of the ocean engineering structure according to claim 1, wherein the frequency matrix to be measured is:
wherein, ω iscIs a frequency matrix to be tested, c represents the ocean engineering structure to be tested, m is the total times of vibration tests,for the first n-order modal frequency of the ocean engineering structure to be measured obtained by the jth measurement,and obtaining the ith order modal frequency of the ocean engineering structure to be measured for the jth measurement.
6. The method for determining the micro damage of the ocean engineering structure according to claim 1, wherein the linear discriminant analysis is performed on the intact frequency matrix and the frequency matrix to be measured, and the projection direction with the optimized classification performance of the intact frequency matrix and the frequency matrix to be measured is solved to obtain an intact frequency residual error and a residual error of the frequency to be measured, and the method specifically comprises the following steps:
respectively carrying out averaging treatment on the intact frequency matrix and the frequency matrix to be detected to obtain a modal frequency matrix of the intact ocean engineering structure and a modal frequency matrix of the ocean engineering structure to be detected;
determining the intra-class variance of the modal frequency matrix of the intact ocean engineering structure according to the modal frequency matrix of the intact ocean engineering structure;
determining the intra-class variance of the modal frequency matrix of the ocean engineering structure to be detected according to the modal frequency matrix of the ocean engineering structure to be detected;
determining an intra-class variance sum according to the intra-class variance of the modal frequency matrix of the intact ocean engineering structure and the intra-class variance of the modal frequency matrix of the ocean engineering structure to be tested;
determining the optimal classification performance projection vector of the intact frequency matrix and the frequency matrix to be detected according to the intra-class variance;
and according to the optimal classification performance projection vector, carrying out projection and dimension reduction treatment on the intact frequency matrix and the frequency matrix to be detected to obtain corresponding intact frequency residual error and frequency residual error to be detected.
7. The method for determining the minor damage of the oceaneering structure according to claim 6, wherein the modal frequency matrix of the intact oceaneering structure is:
wherein m ishIs a modal frequency matrix of an intact ocean engineering structure,modal frequency matrix m for intact ocean engineering structurehThe average value of the ith row in the test is obtained, and n is the order of the ocean engineering structure to be tested;
the modal frequency matrix of the ocean engineering structure to be tested is as follows:
8. The method for determining the minor damage of the oceaneering structure according to claim 6, wherein the sum of the intra-class variance is determined according to the following formula:
wherein S iswIs the sum of the intra-class variances,is the intra-class variance of the modal frequency matrix of the intact ocean engineering structure,is the intra-class variance of the modal frequency matrix of the ocean engineering structure to be tested, m is the total times of vibration test,for the first n-order modal frequency of the intact ocean engineering structure obtained for the j-th measurement,obtaining the first n-order modal frequency m of the ocean engineering structure to be measured for the jth measurementhModal frequency matrix, m, for a sound marine engineering structurecModal frequency for ocean engineering structure to be measuredA rate matrix, T representing a transpose operation of the matrix;
determining an optimal classification performance projection vector according to the following formula:
P=Sw -1(mh-mc);
determining a complete frequency residual error and a frequency residual error to be detected according to the following formula;
9. The method for determining the micro damage of the ocean engineering structure according to claim 1, wherein the determining whether the ocean engineering structure to be tested is damaged or not according to the sound frequency residual error and the frequency residual error to be tested based on the hypothesis testing technology specifically comprises:
calculating a statistical hypothesis test quantity value according to the mean value of the intact frequency residual errors, the mean value of the to-be-tested frequency residual errors, the standard deviation of the intact frequency residual errors and the standard deviation of the to-be-tested frequency residual errors;
calculating a hypothesis test quantity threshold based on the statistical hypothesis test quantity value and the confidence level;
and comparing the absolute value of the hypothesis testing quantity value with the size of the hypothesis testing quantity threshold value, if the absolute value of the hypothesis testing quantity value is smaller than or equal to the hypothesis testing quantity threshold value, judging that the ocean engineering structure to be tested is damaged, and if the absolute value of the hypothesis testing quantity value is larger than the hypothesis testing quantity threshold value, judging that the ocean engineering structure to be tested is not damaged.
10. The method for determining the minor damage of the oceanographic engineering structure according to claim 9, wherein the statistical hypothesis test magnitude is determined according to the following formula:
where t is the statistical hypothesis test quantity, μhIs the mean of the perfect frequency residual, mucIs the mean value, σ, of the frequency residual to be measuredhStandard deviation of perfect frequency residual, σcThe standard deviation of the frequency residual error to be measured is obtained;
the hypothesis test quantity threshold is calculated according to the following formula:
P(t<t*)=1-α/2;
where P () is the calculated probability value, α is the confidence level, t*Is a hypothesis test quantity threshold.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210036234.6A CN114383834B (en) | 2020-09-14 | 2020-09-14 | Ocean engineering structure micro damage judging method |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010960246.9A CN112161785A (en) | 2020-09-14 | 2020-09-14 | Ocean engineering structure micro-damage judgment method |
CN202210036234.6A CN114383834B (en) | 2020-09-14 | 2020-09-14 | Ocean engineering structure micro damage judging method |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010960246.9A Division CN112161785A (en) | 2020-09-14 | 2020-09-14 | Ocean engineering structure micro-damage judgment method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN114383834A true CN114383834A (en) | 2022-04-22 |
CN114383834B CN114383834B (en) | 2023-06-30 |
Family
ID=73857992
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210036234.6A Active CN114383834B (en) | 2020-09-14 | 2020-09-14 | Ocean engineering structure micro damage judging method |
CN202010960246.9A Pending CN112161785A (en) | 2020-09-14 | 2020-09-14 | Ocean engineering structure micro-damage judgment method |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010960246.9A Pending CN112161785A (en) | 2020-09-14 | 2020-09-14 | Ocean engineering structure micro-damage judgment method |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN114383834B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113792468B (en) * | 2021-09-22 | 2023-08-18 | 宁波工程学院 | Quick assessment method and system for vibration monitoring sensor arrangement |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102759573A (en) * | 2012-07-25 | 2012-10-31 | 中国海洋石油总公司 | Frequency change-based structure damage positioning and damage degree evaluating method |
CN103076394A (en) * | 2013-01-06 | 2013-05-01 | 中国海洋石油总公司 | Safety evaluation method for ocean platform based on integration of vibration identification frequencies and vibration mode |
CN103370716A (en) * | 2010-11-03 | 2013-10-23 | 维吉尼亚技术知识产权公司 | Using power fingerprinting (PFP) to monitor the integrity and enhance security of computer based systems |
CN103884776A (en) * | 2014-03-28 | 2014-06-25 | 大连理工大学 | Method for improving accuracy of monitoring result of stochastic damage locating vector (SDLV) method |
CN106338372A (en) * | 2016-09-19 | 2017-01-18 | 中国海洋大学 | Offshore platform damage positioning method based on residual strain energy and system thereof |
CN107220475A (en) * | 2016-11-01 | 2017-09-29 | 重庆交通大学 | A kind of bearing features data analysing method based on linear discriminant analysis |
CN107292023A (en) * | 2017-06-20 | 2017-10-24 | 哈尔滨工业大学 | A kind of bridge structural state diagnostic method based on damage index system narrow characteristic |
CN111368884A (en) * | 2020-02-22 | 2020-07-03 | 杭州电子科技大学 | Motor imagery electroencephalogram feature extraction method based on matrix variable Gaussian model |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110285753B (en) * | 2019-06-25 | 2020-08-18 | 中国海洋大学 | Large-space optical motion measurement method for pool test model of ocean floating structure |
-
2020
- 2020-09-14 CN CN202210036234.6A patent/CN114383834B/en active Active
- 2020-09-14 CN CN202010960246.9A patent/CN112161785A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103370716A (en) * | 2010-11-03 | 2013-10-23 | 维吉尼亚技术知识产权公司 | Using power fingerprinting (PFP) to monitor the integrity and enhance security of computer based systems |
CN102759573A (en) * | 2012-07-25 | 2012-10-31 | 中国海洋石油总公司 | Frequency change-based structure damage positioning and damage degree evaluating method |
CN103076394A (en) * | 2013-01-06 | 2013-05-01 | 中国海洋石油总公司 | Safety evaluation method for ocean platform based on integration of vibration identification frequencies and vibration mode |
CN103884776A (en) * | 2014-03-28 | 2014-06-25 | 大连理工大学 | Method for improving accuracy of monitoring result of stochastic damage locating vector (SDLV) method |
CN106338372A (en) * | 2016-09-19 | 2017-01-18 | 中国海洋大学 | Offshore platform damage positioning method based on residual strain energy and system thereof |
CN107220475A (en) * | 2016-11-01 | 2017-09-29 | 重庆交通大学 | A kind of bearing features data analysing method based on linear discriminant analysis |
CN107292023A (en) * | 2017-06-20 | 2017-10-24 | 哈尔滨工业大学 | A kind of bridge structural state diagnostic method based on damage index system narrow characteristic |
CN111368884A (en) * | 2020-02-22 | 2020-07-03 | 杭州电子科技大学 | Motor imagery electroencephalogram feature extraction method based on matrix variable Gaussian model |
Non-Patent Citations (10)
Title |
---|
刁延松等: "基于振动传递率函数与统计假设检验的海洋平台结构损伤识别研究", 《振动与冲击》 * |
刁延松等: "基于振动传递率函数与统计假设检验的海洋平台结构损伤识别研究", 《振动与冲击》, vol. 35, no. 02, 31 December 2016 (2016-12-31), pages 218 - 222 * |
刘洋等 编著 * |
刘玲,陆建辉,李玉辉: "海洋石油平台健康监测研究方法与进展", 石油工程建设, no. 01, pages 2 - 7 * |
官耀华;周雷;仲华;王巍巍;王树青;: "无线振动检测与结构损伤诊断在海洋平台的工程应用", 中国海洋平台, no. 05, pages 27 - 33 * |
张兆德,王德禹: "基于模态参数损伤检测方法在海洋平台上的应用与改进", 上海交通大学学报, no. 10, pages 1724 - 1728 * |
李英超;张敏;王树青;: "采用两步式模型修正过程识别海上风电支撑结构的损伤", 海洋工程, no. 03, pages 28 - 37 * |
王树青等: "基于模态应变能的海洋平台损伤定位试验研究", 《振动、测试与诊断》 * |
王树青等: "基于模态应变能的海洋平台损伤定位试验研究", 《振动、测试与诊断》, vol. 26, no. 04, 31 December 2006 (2006-12-31), pages 282 - 287 * |
郭建生;: "基于模态曲率相关性分析的结构损伤定位方法研究", 南阳理工学院学报, no. 01, pages 40 - 43 * |
Also Published As
Publication number | Publication date |
---|---|
CN112161785A (en) | 2021-01-01 |
CN114383834B (en) | 2023-06-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10877084B2 (en) | Nonlinear model transformation solving and optimization method for partial discharge positioning based on multi-ultrasonic sensor | |
Doebling et al. | A summary review of vibration-based damage identification methods | |
Sun et al. | Statistical wavelet-based method for structural health monitoring | |
CN103076394B (en) | Safety evaluation method for ocean platform based on integration of vibration identification frequencies and vibration mode | |
Chandrashekhar et al. | Structural damage detection using modal curvature and fuzzy logic | |
EP2342603B1 (en) | Method and apparatus for creating state estimation models in machine condition monitoring | |
CN110750875B (en) | Structure dynamic and static parameter uncertainty quantitative analysis system only using output response | |
CN109558621B (en) | Structural damage identification method and system | |
Zhao et al. | Structural damage identification based on the modal data change | |
CN114705534B (en) | Turbine blade mechanical property attenuation simulation evaluation method under full-territory corrosion environment | |
US20200393347A1 (en) | Imaging Method of Internal Defects in Longitudinal Sections of Trees | |
CN110990978A (en) | Bolt state monitoring method and device | |
CN110555235A (en) | Structure local defect detection method based on vector autoregressive model | |
CN111678992A (en) | Nondestructive testing method for identifying damage type of concrete structure | |
Khosravan et al. | Improved Modal Strain Energy Decomposition Method for damage detection of offshore platforms using data of sensors above the water level | |
Sun et al. | Hankel matrix-based condition monitoring of rolling element bearings: an enhanced framework for time-series analysis | |
CN114383834B (en) | Ocean engineering structure micro damage judging method | |
Surace et al. | A novelty detection approach to diagnose damage in a cracked beam | |
CN109781442B (en) | Detection method for crack fault of bogie of maglev train | |
CN117191956A (en) | Acoustic emission-based titanium alloy stress corrosion damage classification method and apparatus | |
CN116383661A (en) | Centrifugal pump fault diagnosis model training method, fault diagnosis method and device | |
Singh et al. | Damage identification using vibration monitoring techniques | |
Haldar et al. | Data analysis challenges in structural health assessment using measured dynamic responses | |
CN115436037A (en) | Transmission tower health state discrimination method and device based on SSI parameter identification | |
Feizi et al. | Identifying damage location under statistical pattern recognition by new feature extraction and feature analysis methods |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |