CN106152964B - A kind of measuring method of plane planted agent's variability field based on speed linearity fitting - Google Patents

A kind of measuring method of plane planted agent's variability field based on speed linearity fitting Download PDF

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CN106152964B
CN106152964B CN201610574450.0A CN201610574450A CN106152964B CN 106152964 B CN106152964 B CN 106152964B CN 201610574450 A CN201610574450 A CN 201610574450A CN 106152964 B CN106152964 B CN 106152964B
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pixel block
coordinate
triangular pixel
plane
point
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CN106152964A (en
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王学滨
武其奡
冯威武
马冰
杜亚志
白雪元
侯文腾
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Liaoning Technical University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00Measuring arrangements characterised by the use of optical techniques
    • G01B11/16Measuring arrangements characterised by the use of optical techniques for measuring the deformation in a solid, e.g. optical strain gauge

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Abstract

The present invention proposes a kind of measuring method for the plane planted agent's variability field being fitted based on speed linearity, belong to object deformation rate field field of measuring technique, the present invention acquires multiple images during testee stand under load, obtain each measuring point coordinate of image intermediate cam shape block of pixels, the velocity field of measuring point is obtained according to the interval time of image, according to the coordinate and speed of each measuring point in each triangular pixel block, obtain the fitting data point of each triangular pixel block, and then obtain the coefficient of the fit Plane of each triangular pixel block, the deformation rate field in testee plane is finally obtained according to the relationship of the coefficient of acquisition and speed partial derivative;The present invention is based on the thoughts of data fitting, better than existing correlation technique, its process is simple, step is convenient and should be readily appreciated that, the coefficient of only demand solution fit Plane equation can obtain result, the present invention considers the information of measuring point inside discrete pixels block, the accuracy rate and confidence level for improving final result increase the flexibility of measuring point selection.

Description

A kind of measuring method of plane planted agent's variability field based on speed linearity fitting
Technical field
The invention belongs to object deformation rate field field of measuring technique, and in particular to a kind of plane based on speed linearity fitting The measuring method of planted agent's variability field.
Background technology
Deformation of body measurement is the important content of Experimental Mechanics;Compared with other measurement methods, measuring method due to It has many advantages, such as the non-contact, whole audience, high spatial resolution and high measurement accuracy, plays in Experimental Mechanics irreplaceable Key player;In practical applications, deformation of body measurement is usually referred to the measurement deformed in object plane;
Digital Image Correlation Method is a kind of important method in measuring method, is the object to being acquired before and after deformation The two images (speckle field) on surface carry out relevant treatment, to realize that deformation of body measures;It is flat that this method can not only carry out object In-plane deformation measures, and can also carry out surface deformation measurement;
Test specimen or structure are under loaded condition, and after certain phase, the distribution of strain rate is simultaneously uneven;In strain rate Upper zone, strain increase very fast, the region region that often the following crackle occurs;By detecting strain rate upper zone Time space distribution can know the specific location in future subversion region in advance, this for material or structure failure mechanism analysis and Disaster prevention research is of great advantage;
Using Digital Image Correlation Method, deformation measurement method includes mainly in object plane:
1) it is based on the Digital Image Correlation Method of newton-La Feixun (N-R) method, while obtaining the position in object plane It moves and strains, but the error of strain calculation result is larger;
2) Digital Image Correlation Method based on centered Finite Difference Methods is answered by carrying out centered difference to displacement field Variable field, but the noise for including in displacement field can be such that the confidence level of strain calculation result reduces;
3) Digital Image Correlation Method based on finite element smoothing method carries out displacement field using finite element method smooth Obtain strain field, but mathematical form and programming execute all more complex, are unfavorable for promotion and application.
Invention content
In view of the deficiencies of the prior art, the present invention proposes a kind of light for the plane planted agent's variability field being fitted based on speed linearity Measurement method is learned, accuracy rate, confidence level and calculating speed purpose are improved to reach.
A kind of measuring method of plane planted agent's variability field based on speed linearity fitting, includes the following steps:
Step 1, multiple images using the capture apparatus acquisition a certain plane of testee during stand under load;
Step 2 selectes the shooting time for measuring image, and determining every measurement image in multiple images of acquisition, into And obtain the interval time of the measurement image at two adjacent moment;
Step 3 measures first image place plane as the faces xoy, establishes three-dimensional cartesian coordinate system oxyz, and by first The testee region measured in image is discretized into non-overlapping and gapless triangular pixel block;
Step 4, the coordinate for obtaining three vertex of triangular pixel block are arranged in each vertex position of triangular pixel block 1 measuring point, and the non-vertex position of each triangular pixel block arranges that N number of measuring point, N are more than or equal to 0 in the faces xoy, obtaining should Coordinate of the measuring point in x-axis and y-axis;
Step 5, using Digital Image Correlation Method, obtain the displacement of measuring point of testee during stand under load in plane , according to the interval time of the measurement image at two adjacent moment, obtain the velocity field of the measuring point in plane;
Step 6, according to x coordinate, y-coordinate and the speed of each measuring point in each triangular pixel block, obtain three-dimensional right angle Two groups of fitting data points of each triangular pixel block in coordinate system;
Step 7, Select Error type obtain each triangle according to every group of fitting data point of each triangular pixel block The coefficient of the fit Plane of shape block of pixels;
Step 8, the relationship according to the coefficient and speed partial derivative of acquisition, obtain the strain rate of each triangular pixel block, Obtain the deformation rate field in testee plane.
X coordinate, y-coordinate and the speed of each measuring point in each triangular pixel block of basis described in step 6 obtain three-dimensional Two groups of fitting data points of each triangular pixel block in rectangular coordinate system;Specifically include following steps:
In step 6.1, each triangular pixel block on the faces xoy, using the x coordinate of each measuring point as fitting data point X coordinate, using the y-coordinate of each measuring point as the y-coordinate of fitting data point, by the speed of each measuring point x-axis direction point The z coordinate as fitting data point is measured, first group that each triangular pixel block is constructed in three-dimensional cartesian coordinate system oxyz is quasi- Close data point;
In step 6.2, each triangular pixel block on the faces xoy, using the x coordinate of each measuring point as fitting data point X coordinate, using the y-coordinate of each measuring point as the y-coordinate of fitting data point, point by the speed of each measuring point in y-axis direction The z coordinate as fitting data point is measured, second group that each triangular pixel block is constructed in three-dimensional cartesian coordinate system oxyz is quasi- Close data point.
Select Error type described in step 7 obtains each according to every group of fitting data point of each triangular pixel block The coefficient of the fit Plane of triangular pixel block;
Plane is as follows:
Wherein,Each of indicate in first fit Plane of each triangular pixel block point the directions z coordinate, Point each of is indicated in second fit Plane of each triangular pixel block in the coordinate in the directions z, x indicates the seat in the directions x Mark, y indicate the coordinate in the directions y, A1、B1And C1Indicate the coefficient of first fit Plane of each triangular pixel block, A2、B2 And C2Indicate the coefficient of second fit Plane of each triangular pixel block.
The relationship of the coefficient and speed partial derivative of acquisition described in step 8, it is specific as follows:
Wherein,Each of indicate in first fit Plane of each triangular pixel block point the directions z coordinate,Table Each of showing in second fit Plane of each triangular pixel block point in the coordinate in the directions z, x indicates the coordinate in the directions x, Y indicates the coordinate in the directions y, A1And B1Indicate the coefficient of first fit Plane of each triangular pixel block, A2And B2It indicates The coefficient of second fit Plane of each triangular pixel block;
The strain rate of each triangular pixel block, formula are as follows:
Wherein,Indicate the strain rate tensor of each triangular pixel block;I denotation coordination axis i are x-axis or y-axis;J is indicated Reference axis j is x-axis or y-axis.
Advantage of the present invention:
The present invention proposes a kind of measuring method for the plane planted agent's variability field being fitted based on speed linearity, is based on data The thought of fitting, be better than the existing Digital Image Correlation Method based on centered Finite Difference Methods, process is simple, step is convenient and It can be readily appreciated that the coefficient of only demand solution fit Plane equation can obtain as a result, improving measuring speed and programming convenience;This Invention considers the information of measuring point inside discrete pixels block, improves the accuracy rate and confidence level of final result, and increase survey The flexibility of point selection;The present invention has wide practical use in solid Experimental Mechanics field.
Description of the drawings
Fig. 1 is the measuring method flow chart of the deformation rate field in the object plane of an embodiment of the present invention;
Fig. 2 be an embodiment of the present invention selected Failure under Uniaxial Compression in surface of test piece measurement image schematic diagram, Wherein, figure (a) is first measurement image, and figure (b) is second measurement image, and figure (c) is that third measures image;
Fig. 3 is the triangle after the first testee region discretization measured in image of an embodiment of the present invention Shape block of pixels distribution map;
Fig. 4 is that each measuring point of an embodiment of the present invention measures the position view on image at first;
Fig. 5 is that the speed and coordinate by measuring point of an embodiment of the present invention obtain the several of triangular pixel block fit Plane What schematic diagram;
Fig. 6 is the strain rate by second to third image obtained using the method for the present invention of an embodiment of the present invention Field blank map, wherein figure (a) is the line strain rate field blank map in the directions x, and figure (b) is the line strain rate field blank map in the directions y, It is inplane shear deformation rate field blank map to scheme (c);
Fig. 7 is the strain by second to third image obtained using the Digital Image Correlation Method based on N-R methods Rate field blank map, wherein figure (a) is the line strain rate field blank map in the directions x, and figure (b) is that the line strain rate field in the directions y is filled Figure, figure (c) are inplane shear deformation rate field blank map;
Fig. 8 is to open image by second to third using what the Digital Image Correlation Method based on centered Finite Difference Methods obtained Deformation rate field blank map, wherein figure (a) is the line strain rate field blank map in the directions x, and figure (b) is that the line strain rate field in the directions y is filled out Figure is filled, figure (c) is inplane shear deformation rate field blank map;
In figure, 1 is triangular pixel block, and 2 be the vertex of triangular pixel block, and 3 be measuring point, and 4 be triangular pixel block, 5 It is fitting data point for measuring point, 6,7 be triangular pixel block, and 8 be fit Plane;A is the first vertex of triangular pixel block, b For the second vertex of triangular pixel block, c is the third vertex of triangular pixel block.
Specific implementation mode
An embodiment of the present invention is described further below in conjunction with the accompanying drawings.
A kind of measuring method of plane planted agent's variability field based on speed linearity fitting, method flow diagram such as Fig. 1 institutes Show, includes the following steps:
Step 1, multiple images using the capture apparatus acquisition a certain plane of testee during stand under load;
In the embodiment of the present invention, testee is cuboid test specimen, is highly 90mm, test specimen is placed in by width 50mm On platform, coating manufacturing artificial speckle is used on a surface of test specimen, carries out Bit andits control load in upper surface, acquisition should The speckle pattern on surface;
Step 2 selectes the shooting time for measuring image, and determining every measurement image in multiple images of acquisition, into And obtain the interval time of the measurement image at two adjacent moment;
In the embodiment of the present invention, 3 measurement images, selected measurement image such as Fig. 2 are selected in multiple images of acquisition Shown in middle figure (a) to figure (c), the shooting time of every measurement image is obtained, and then obtains first and measures image and second survey The shooting interval time of spirogram picture is 198s, and acquisition second measures image and the shooting interval time of third measurement image is 2s;
Step 3 measures first image place plane as the faces xoy, establishes three-dimensional cartesian coordinate system oxyz, and by first The testee region measured in image is discretized into non-overlapping and gapless triangular pixel block;
In the embodiment of the present invention, (in figure, 1 indicates triangular pixel block, and 2 indicate the top of triangular pixel block as shown in Figure 3 Point, a indicate that the first vertex of triangular pixel block, b indicate that the second vertex of triangular pixel block, c indicate triangular pixel block Third vertex), by first measure image in testee region be discretized into 5762 it is compact arranged, non-overlapping And gapless triangular pixel block;
Step 4, the coordinate for obtaining three vertex of triangular pixel block are arranged in each vertex position of triangular pixel block 1 measuring point, and the non-vertex position of each triangular pixel block arranges that N number of measuring point, N are more than or equal to 0 in the faces xoy, obtaining should Coordinate of the measuring point in x-axis and y-axis;
It is as shown in Figure 4 (3 indicate measuring point in figure, and 4 indicate triangular pixel block), every in the faces xoy in the embodiment of the present invention The non-vertex position of a triangular pixel block arranges 1 measuring point;
Step 5, using Digital Image Correlation Method, obtain the displacement of measuring point of testee during stand under load in plane , according to the interval time of the measurement image at two adjacent moment, obtain the velocity field of the measuring point in plane;
It is specific as follows:
Step 5.1 measures at first position on image according to each measuring point, is obtained using Digital Image Correlation Method every A measuring point measures the position on image in second and third;
Step 5.2 measures at first position on image according to each measuring point and each measuring point measures image at second On position, obtain each measuring point and measure displacement on image at second, each measuring point is obtained in third using same procedure Open the displacement measured on image;
Step 5.3 obtains second displacement difference for measuring image and each measuring point on third image, and according to second It opens and measures the shooting interval time that image measures image with third, obtain the speed of each measuring point, i.e. survey in acquisition plane The velocity field of point;
Step 6, according to x coordinate, y-coordinate and the speed of each measuring point in each triangular pixel block, obtain three-dimensional right angle Two groups of fitting data points of each triangular pixel block in coordinate system;
In the embodiment of the present invention, as schemed in Fig. 5 shown in (a), 5 indicate measuring point in figure, and 6 indicate fitting data point, and 7 indicate three Angular block of pixels obtains two groups of fitting data points of each triangular pixel block in three-dimensional cartesian coordinate system, specifically includes following Step:
In step 6.1, each triangular pixel block on the faces xoy, using the x coordinate of each measuring point as fitting data point X coordinate, using the y-coordinate of each measuring point as the y-coordinate of fitting data point, by the speed of each measuring point x-axis direction point The z coordinate as fitting data point is measured, first group that each triangular pixel block is constructed in three-dimensional cartesian coordinate system oxyz is quasi- Close data point;
In step 6.2, each triangular pixel block on the faces xoy, using the x coordinate of each measuring point as fitting data point X coordinate, using the y-coordinate of each measuring point as the y-coordinate of fitting data point, point by the speed of each measuring point in y-axis direction The z coordinate as fitting data point is measured, second group that each triangular pixel block is constructed in three-dimensional cartesian coordinate system oxyz is quasi- Close data point;
Step 7, Select Error type obtain each triangle according to every group of fitting data point of each triangular pixel block The coefficient of the fit Plane of shape block of pixels;The error type includes worst error, mean error and root-mean-square error etc., is belonged to Common knowledge in this field can voluntarily be selected according to actual demand;
Step 7.1, two fit Plane equations for determining each triangular pixel block;
In the embodiment of the present invention, scheme shown in (b) in the plane such as Fig. 5 that fit, wherein 8 indicate fit Plane;
Plane equation is as follows:
Wherein,Each of indicate in first fit Plane of each triangular pixel block point the directions z coordinate,Table Each of showing in second fit Plane of each triangular pixel block point in the coordinate in the directions z, x indicates the coordinate in the directions x, Y indicates the coordinate in the directions y, A1、B1And C1Indicate the coefficient of first fit Plane of each triangular pixel block, A2、B2With C2Indicate the coefficient of second fit Plane of each triangular pixel block;
Step 7.2, selection root-mean-square error obtain each according to two groups of fitting data points of each triangular pixel block The root-mean-square error of two fit Planes of triangular pixel block, the minimum fitting data point of root-mean-square error are flat to fitting The quadratic sum of the vertical range (i.e. fitting data point is at a distance from the direction to fit Plane parallel with z-axis) in face, formula are as follows:
Wherein, E1Indicate the root-mean-square error of first fit Plane of each triangular pixel block;E2Indicate each triangle The root-mean-square error of second fit Plane of shape block of pixels;xkIndicate the fitting data point of each triangular pixel block in the side x To coordinate;ykIndicate coordinate of the fitting data point in the directions y of each triangular pixel block;Indicate each triangular pixel Coordinate of the first group of fitting data point of block in the directions z;Indicate second group of fitting data point of each triangular pixel block in z The coordinate in direction;K indicates that k-th of fitting data point in every group of fitting data point, value range are [1,2,3,4];
Step 7.3, by ensureing that root-mean-square error is minimum, obtain two groups of least square fittings of each triangular pixel block The normal equation of plane, specially:
The guarantee root-mean-square error is minimum to make partial derivativeWithWithIt is zero, Formula is as follows:
Step 7.4, solution formula (5) and formula (6) obtain the coefficient A of least square fitting plane1、B1、C1、A2、B2With C2
Step 8, the relationship according to the coefficient and speed partial derivative of acquisition, obtain the strain rate of each triangular pixel block, Obtain the deformation rate field in testee plane;Specifically include following steps:
The equation of two least square fitting planes in formula (1) is sought local derviation by step 8.1 respectively, obtains minimum two Multiply the relationship of the coefficient and speed partial derivative of fit Plane;
Formula is as follows:
Wherein,Each of indicate in first fit Plane of each triangular pixel block point the directions z coordinate,Table Each of showing in second fit Plane of each triangular pixel block point in the coordinate in the directions z, x indicates the coordinate in the directions x, Y indicates the coordinate in the directions y, A1And B1Indicate the coefficient of first fit Plane of each triangular pixel block, A2And B2It indicates The coefficient of second fit Plane of each triangular pixel block;
Step 8.2 obtains speed partial derivative and strain rate using geometric equationBetween relationship;
Formula is as follows:
Wherein,Indicate the strain rate tensor of each triangular pixel block;Indicate the velocity component in the directions i;XjIt indicates Coordinate in the directions j;Indicate the velocity component in the directions j;XiIndicate the coordinate in the directions i;I denotation coordination axis i, be x-axis or Y-axis;J denotation coordination axis j are x-axis or y-axis;
Strain rate formula (7) is converted to the common type in engineering by step 8.3;
Specially:
The strain rate of each triangular pixel blockIt is a tensor, for two-dimensional problems,It is expressed as:
Wherein, XxIndicate the coordinate in the directions x, as x;XyIndicate the coordinate in the directions y, as y;
It enablesThenIt can be expressed as:
Wherein,Indicate the line strain rate in the directions x;Indicate inplane shear strain rate;Indicate the line strain in the directions y Rate;
Step 8.4 merges formula (2) and formula (7), obtains the strain rate of each triangular pixel block, that is, obtains The deformation rate field in testee plane is obtained, formula is as follows:
In the embodiment of the present invention, Fig. 6 is the deformation rate field by second to third image obtained using the method for the present invention Blank map (including figure (a), figure (b) and figure (c));In order to be compared, Fig. 7 gives using the digitized map based on N-R methods The deformation rate field blank map (including figure (a), figure (b) and figure (c)) by second to third image obtained as correlation technique;Figure 8 give the strain rate by second to third image obtained using the Digital Image Correlation Method based on centered Finite Difference Methods Field blank map (including figure (a), figure (b) and figure (c));By Fig. 6~Fig. 8 it can be found that various deformation rate fields are in uneven distribution, EspeciallyWithIt is observed that some are in band-like strain rate Spring layer or low value area, the strain variations of these positions compared with Soon, it is the region of the following macroscopic cracking generation;
In the embodiment of the present invention, using based on centered Finite Difference Methods Digital Image Correlation Method and the method for the present invention obtain 's WithMeasurement range have certain difference, better than utilize the Digital Image Correlation Method based on N-R methods to obtain Measurement result;Specifically, obtained using the Digital Image Correlation Method based on centered Finite Difference MethodsMeasurement range be (- 7~19) × 10-3s-1,Measurement range be (- 16~6) × 10-3s-1,Measurement range be (- 17~8) × 10-3s-1, and the method for the present invention is used to obtainMeasurement range be (- 15~33) × 10-3s-1,Measurement range be (- 21~ 9)×10-3s-1,Measurement range be (- 29~17) × 10-3s-1;In contrast, the measurement obtained using the method for the present invention Range is more than the measurement range obtained using the Digital Image Correlation Method based on centered Finite Difference Methods, this makes main strain rate Spring layer more highlights, meanwhile, the narrower width of Spring layer, it means that the method for the present invention can portray deformation rate field more It is careful;From the measurement result obtained using the method for the present invention, it is observed that being more in clearly band-like strain rate high level Area and low value area, and the measurement result for utilizing the Digital Image Correlation Method based on centered Finite Difference Methods to obtain is more fuzzy, answers Variability Spring layer seems more mottled;In conclusion being better than other two methods using the measurement result that the method for the present invention obtains.

Claims (4)

1. a kind of measuring method of plane planted agent's variability field based on speed linearity fitting, which is characterized in that including following Step:
Step 1, multiple images using the capture apparatus acquisition a certain plane of testee during stand under load;
Step 2 is selected the shooting time for measuring image, and determining every measurement image in multiple images of acquisition, and then is obtained Obtain the interval time of the measurement image at two adjacent moment;
Step 3 measures first image place plane as the faces xoy, establishes three-dimensional cartesian coordinate system oxyz, and first is measured Testee region in image is discretized into non-overlapping and gapless triangular pixel block;
Step 4, the coordinate for obtaining three vertex of triangular pixel block arrange 1 in each vertex position of triangular pixel block Measuring point, and the non-vertex position of each triangular pixel block arranges that N number of measuring point, N are more than or equal to 0, obtain N number of survey in the faces xoy Coordinate of the point in x-axis and y-axis;
Step 5, using Digital Image Correlation Method, obtain the displacement field of measuring point of testee during stand under load in plane, According to the interval time of the measurement image at two adjacent moment, the velocity field of the measuring point in plane is obtained;
Step 6, according to x coordinate, y-coordinate and the speed of each measuring point in each triangular pixel block, obtain three-dimensional rectangular coordinate Two groups of fitting data points of each triangular pixel block in system;
Step 7, Select Error type obtain each triangle image according to every group of fitting data point of each triangular pixel block The coefficient of the fit Plane of plain block;
Step 8, the relationship according to the coefficient and speed partial derivative of acquisition, obtain the strain rate of each triangular pixel block, that is, obtain Obtain the deformation rate field in testee plane.
2. the measuring method of plane planted agent's variability field according to claim 1 based on speed linearity fitting, step 6 X coordinate, y-coordinate and the speed of each measuring point in each triangular pixel block of the basis obtain in three-dimensional cartesian coordinate system Two groups of fitting data points of each triangular pixel block;Specifically include following steps:
In step 6.1, each triangular pixel block on the faces xoy, using the x coordinate of each measuring point as the x of fitting data point Coordinate, using the y-coordinate of each measuring point as the y-coordinate of fitting data point, the component by the speed of each measuring point in x-axis direction is made For the z coordinate of fitting data point, first group of fitting number of each triangular pixel block is constructed in three-dimensional cartesian coordinate system oxyz Strong point;
In step 6.2, each triangular pixel block on the faces xoy, using the x coordinate of each measuring point as the x of fitting data point Coordinate, using the y-coordinate of each measuring point as the y-coordinate of fitting data point, the component by the speed of each measuring point in y-axis direction is made For the z coordinate of fitting data point, second group of fitting number of each triangular pixel block is constructed in three-dimensional cartesian coordinate system oxyz Strong point.
3. the measuring method of plane planted agent's variability field according to claim 1 based on speed linearity fitting, special Sign is that the Select Error type described in step 7 obtains each according to every group of fitting data point of each triangular pixel block The coefficient of the fit Plane of triangular pixel block;
Plane is as follows:
Wherein,Each of indicate in first fit Plane of each triangular pixel block point the directions z coordinate,Indicate every Point is in the coordinate in the directions z each of in second fit Plane of a triangular pixel block, and x expressions are in the coordinate in the directions x, y tables Show the coordinate in the directions y, A1、B1And C1Indicate the coefficient of first fit Plane of each triangular pixel block, A2、B2And C2Table Show the coefficient of second fit Plane of each triangular pixel block.
4. the measuring method of plane planted agent's variability field according to claim 1 based on speed linearity fitting, special Sign is that the relationship of the coefficient and speed partial derivative of the acquisition described in step 8 is specific as follows:
Wherein,Each of indicate in first fit Plane of each triangular pixel block point the directions z coordinate,Indicate every Point is in the coordinate in the directions z each of in second fit Plane of a triangular pixel block, and x expressions are in the coordinate in the directions x, y tables Show the coordinate in the directions y, A1And B1Indicate the coefficient of first fit Plane of each triangular pixel block, A2And B2Indicate every The coefficient of second fit Plane of a triangular pixel block;
The strain rate of each triangular pixel block, formula are as follows:
Wherein,Indicate the strain rate tensor of each triangular pixel block;I denotation coordination axis i are x-axis or y-axis;J denotation coordinations Axis j is x-axis or y-axis.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5480413B1 (en) * 2013-02-12 2014-04-23 株式会社トヨタコミュニケーションシステム Finite element method analysis method and finite element method analyzer
CN103913375A (en) * 2014-02-14 2014-07-09 济南时代试金试验机有限公司 Tensile sample deformation measurement method based on digital image correlation
CN104457603A (en) * 2014-08-18 2015-03-25 清华大学 Object deformation measurement method under high-temperature environment
CN104809362A (en) * 2015-05-22 2015-07-29 辽宁工程技术大学 Method for preparing speckle pattern including heterogeneous deformation based on numerical calculation
CN104864819A (en) * 2015-01-19 2015-08-26 华中科技大学 Digital speckle-based high-speed three-dimensional strain measurement method
CN105157594A (en) * 2015-09-05 2015-12-16 辽宁工程技术大学 Half-subarea-segmentation-method-based digital image correlation method
CN105300307A (en) * 2015-11-20 2016-02-03 北京理工大学 Device and method for optical mirror distortion measurement of relevant techniques of two-dimensional digital speckling

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013158933A1 (en) * 2012-04-18 2013-10-24 Drexel University Integration of digital image correlation with acoustic emissions
US9311566B2 (en) * 2012-08-03 2016-04-12 George Mason Research Foundation, Inc. Method and system for direct strain imaging

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5480413B1 (en) * 2013-02-12 2014-04-23 株式会社トヨタコミュニケーションシステム Finite element method analysis method and finite element method analyzer
CN103913375A (en) * 2014-02-14 2014-07-09 济南时代试金试验机有限公司 Tensile sample deformation measurement method based on digital image correlation
CN104457603A (en) * 2014-08-18 2015-03-25 清华大学 Object deformation measurement method under high-temperature environment
CN104864819A (en) * 2015-01-19 2015-08-26 华中科技大学 Digital speckle-based high-speed three-dimensional strain measurement method
CN104809362A (en) * 2015-05-22 2015-07-29 辽宁工程技术大学 Method for preparing speckle pattern including heterogeneous deformation based on numerical calculation
CN105157594A (en) * 2015-09-05 2015-12-16 辽宁工程技术大学 Half-subarea-segmentation-method-based digital image correlation method
CN105300307A (en) * 2015-11-20 2016-02-03 北京理工大学 Device and method for optical mirror distortion measurement of relevant techniques of two-dimensional digital speckling

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
基于移动最小二乘拟合的数字图像相关应变测量;张金奎 等;《科学技术与工程》;20100131;第10卷(第3期);686-691 *
数字图像相关中基于位移场局部最小二乘拟合的全场应变测量;潘兵 等;《光学学报》;20071130;第27卷(第11期);1980-1986 *

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