CN107340159A - The choosing method of three-dimensional structure face shearing strength aliquot part - Google Patents
The choosing method of three-dimensional structure face shearing strength aliquot part Download PDFInfo
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- CN107340159A CN107340159A CN201610998578.XA CN201610998578A CN107340159A CN 107340159 A CN107340159 A CN 107340159A CN 201610998578 A CN201610998578 A CN 201610998578A CN 107340159 A CN107340159 A CN 107340159A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
Abstract
A kind of choosing method of three-dimensional structure face shearing strength aliquot part, comprises the following steps：(1) structural plane three-dimensional point cloud coordinate data is obtained；(2) structural plane coordinate data of the interception in diverse location；(3) horizontal centre in intercepted test structure face is found out, makees the vertical plane of structural plane horizontal plane；(4) roughness value of the structural fece sample different directions of all interceptions is calculated；(5) according to the JRC statistical results of all samples, JRC statistical analysis is carried out by different measurement directions；(6) the anisotropy figure of JRC assembly averages is drawn；(7) test structure face anisotropy figure is drawn；(8) similitude of each test structure face anisotropy figure and the anisotropy figure of JRC assembly averages is contrasted, using degree of similarity highest sample as the aliquot part under the size condition.The quantitative accurate selection of the invention for effectively realizing rock mass discontinuity sample.
Description
Technical field
The invention belongs to field of engineering technology, is related to a kind of optimum option side of structural face shear strength aliquot part
Method, specifically the laser scanning data of the invention based on structural plane surface undulation form, is extracted on large scale sample
Diverse location, different directions structural plane roughness coefficient statistics, it is each by structural plane using assembly average as standard
The comparative analysis of anisotropy figure simultaneously determines aliquot part.The random sex chromosome mosaicism artificially sampled in direct shear test is this method solve,
Realize the quantitative accurate selection of rock mass discontinuity sample.
Background technology
Direct shear test is to determine the important method of structural face shear strength, all refer in different tests specification or code
The requirement that structural fece sample prepares is closed, such as：Sampling method, sample quantities, preserve means of transportation etc..However, structural plane is
The product of natural geology historical progress, its development characteristics have obvious heterogencity and anisotropy.Even same big
The structural plane that the diverse location of dimensional structure interview sample is chosen, its configuration of surface often have larger otherness.For a long time
How engineering staff always judges whether selected structural fece sample is representative if suffering from, often by subjective experience pair
Test structure face is judged and screened.Forefathers' research shows that structural plane roughness is the key for influenceing mechanical property of structural plane
Factor.When wall rock intensity is essentially identical, structural face shear strength is determined by roughness value substantially.Therefore, carry out based on knot
The preferred research of shearing strength sample of structure surface roughness analysis has highly important theory significance and engineering application value.
2006, Du Shigui etc. disclosed a kind of representative evaluation method of structural fece sample, and this method passes through in rock mass
Survey section is evenly arranged on structural plane, the statistical analysis of different survey segment structure surface roughness coefficients is then carried out, by assembly average
As the characteristic value of roughness value, judge that structure is interviewed by the roughness value of each sample and the otherness of characteristic value
The representativeness of sample.
2013, Huang Man etc. disclosed a kind of subsize rock model structural structural fece sample based on stratified probability sampling and represented
Property sampling method, its technological core is to try to achieve total sample size with Stratified Sampling formula, and according to layer power classification determine it is each
The sample size of layer, to meet the requirement of the statistical accuracy of experiment.
2015, Du Shigui etc. disclosed a kind of structural plane roughness coefficient dimensional effect sample representation evaluation method,
This method is mainly by calculating serial mesostructure surface roughness coefficient probability density function maximum, with each structural fece sample
Roughness value carry out relative deviation analysis, to judge the representative degree of the selection of sample.
However, the complex three-dimensional attribute of structural plane surface undulation form is ignored in the studies above, using two-dimensional structure
The statistical measurements analysis typical sample in face, ignores roughness anisotropic character, and then have impact on structural fece sample
Representativeness evaluation is chosen with accurate.
The content of the invention
In order to overcome influence that existing artificial subjective factor chooses to structural face shear strength sample, rock mass can not be realized
The quantitative deficiency accurately chosen of structural fece sample, the complex three-dimensional attribute of the invention from structural plane surface undulation form,
Propose a kind of selection side of the structural face shear strength aliquot part based on structural plane roughness anisotropy statistical analysis
Method, effectively realize the quantitative accurate selection of rock mass discontinuity sample.
The technical solution adopted for the present invention to solve the technical problems is：
A kind of choosing method of three-dimensional structure face shearing strength aliquot part, comprises the following steps：
(1) large-scale structure interview sample is scanned using three-dimensional laser instrument, obtains structural plane three-dimensional point cloud number of coordinates
According to；
(2) the experimental design size according to structural fece sample, intercepts in the range of the three-dimensional coordinate of large-scale structure face and is in
The structural plane coordinate data of diverse location；
(3) horizontal centre in intercepted test structure face is found out, foundation is rotary shaft by the normal of the horizontal centre,
It is interval with direction initialization angle (such as 15 °), makees the vertical plane of structural plane horizontal plane respectively, the plane rises with structural plane three-dimensional
The intersection for lying prostrate surface is the topography line of structural plane different directions, and profile line length is equal to the lab design of structural fece sample
Size；
(4) according to the surface coordinate information of structural plane contour line, all sections are calculated using Barton straight flange method simplicity formula
The roughness value JRC of the structural fece sample different directions taken；
(5) according to the JRC statistical results of all samples, JRC statistical analysis is carried out by different measurement directions, solves statistics
Average value and standard deviation；
(6) JRC of foundation all directions assembly average result, the anisotropy figure of JRC assembly averages is drawn；
(7) the JRC values according to the actual measurement of each test structure face all directions, test structure face anisotropy figure is drawn；
(8) similitude of each test structure face anisotropy figure and the anisotropy figure of JRC assembly averages is contrasted, will
Degree of similarity highest sample is as the aliquot part under the size condition.
Beneficial effects of the present invention are mainly manifested in：Effectively realize the quantitative accurate selection of rock mass discontinuity sample.
Brief description of the drawings
Fig. 1 is example structure face surface three dimension coordinate data figure；
Fig. 2 is that test size structural plane surface three dimension coordinate data intercepts schematic diagram (with upper right corner 50cm × 50cm structures
Exemplified by face)；
Fig. 3 is that test size structural plane surface three dimension coordinate data intercepts top view (with upper right corner 50cm × 50cm structures
Exemplified by face)；
Fig. 4 is test size structural plane surface profile line (by taking 165 ° of azimuths as an example)；
Fig. 5 is the assembly average of structural plane different directions and the schematic diagram of standard deviation；
Fig. 6 is the assembly average comparison diagram of representative configurations interview sample and different directions.
Embodiment
The invention will be further described below in conjunction with the accompanying drawings.
1~Fig. 6 of reference picture, a kind of choosing method of three-dimensional structure face shearing strength aliquot part, comprises the following steps：
(1) large-scale structure interview sample is scanned using high-precision three-dimensional laser, obtains structural plane three-dimensional point cloud
Coordinate data；
(2) the experimental design size according to structural fece sample, intercepts in the range of the three-dimensional coordinate of large-scale structure face and is in
The structural plane coordinate data of diverse location；
(3) horizontal centre in intercepted test structure face is found out, foundation is rotary shaft by the normal of the horizontal centre,
Using 15 ° of deflections as interval, make the vertical plane of structural plane horizontal plane respectively, the friendship of the plane and structural plane three-dimensional contoured surface
Line is the topography line of structural plane different directions, and profile line length is equal to the lab design size of structural fece sample；
(4) according to the surface coordinate information of structural plane contour line, all sections are calculated using Barton straight flange method simplicity formula
The roughness value JRC of the structural fece sample different directions taken；
(5) according to the JRC statistical results of all samples, JRC statistical analysis is carried out by different measurement directions, solves statistics
Average value and standard deviation；
(6) JRC of foundation all directions assembly average result, the anisotropy figure of JRC assembly averages is drawn；
(7) the JRC values according to the actual measurement of each test structure face all directions, test structure face anisotropy figure is drawn；
(8) similitude of each test structure face anisotropy figure and the anisotropy figure of JRC assembly averages is contrasted, will
Degree of similarity highest sample is as the aliquot part under the size condition.
Example：A kind of choosing method of three-dimensional structure face shearing strength aliquot part, comprises the following steps：
(1) field condition selectes large scale granite structure face (1m × 1m), is entered using high-precision three-dimensional laser scanner
Row scanning, obtains complicated topography three-dimensional coordinate data, its cloud data is as shown in Figure 1；
(2) specimen size used in joint straight shear test obtains big for 50cm × 50cm in 3 D laser scanning
On the basis of dimensional structure interview sample coordinate data, 100 test structure faces, test structure are intercepted with step pitches such as 50cm × 50cm
Interview the whole coarse scale structures face of sample uniform fold；Fig. 2 cuts for upper right corner 50cm × 50cm structural plane surface three dimensions coordinate data
Schematic diagram is taken, Fig. 3 is the top view of structural plane interception；
(3) horizontal centre in intercepted test structure face is found out, using the normal of the horizontal centre as rotary shaft, 15 ° of sides
To the vertical plane that angle is the horizontal plane that structural plane is made at interval respectively, the intersection of the plane and structural plane three-dimensional contoured surface is knot
The topography line of structure face different directions,
Profile line length is equal to 50cm, and by taking 165 ° of azimuths as an example, its corresponding structural plane contour line is as shown in Figure 4；
(4) according to the surface coordinate information of structural plane contour line, all sections are calculated using Barton straight flange method simplicity formula
The roughness value JRC of the structural fece sample different directions taken, its expression formula are
R in formulayFor the convex amplitude ident value of structural plane surface outline curves tooth, L is structural plane contour curve length.
Table 1 is the JRC numbers of 10 typical structure face all directions in the test structure face intercepted at 100 diverse locations
According to.
Table 1
(5) JRC statistical analysis is carried out by different measurement directions, is solved respectively to statistical result according to the JRC of all samples
Assembly average and standard deviation；Table 2 is all test structure face JRC assembly average and standard deviation；
Table 2
(6) JRC of foundation all directions assembly average result, draws the anisotropy figure of JRC assembly averages, sees
Fig. 5；
(7) the JRC values according to the actual measurement of each test structure face all directions, test structure face anisotropy figure is drawn；
(8) similitude of each test structure face anisotropy figure and the anisotropy figure of JRC assembly averages is observed, is picked
Except visibly different sample, JRC values and all directions structure that remaining each test structure face all directions are surveyed then are calculated
The absolute value of face JRC assembly average differences, and sum, compare summed result size, the minimum sample of result is defined as this
Optimum structure interviews sample under size condition.Result of calculation finds each of No. 56 test structure interview sample and JRC assembly averages
The similitude of anisotropy figure is best, can be as aliquot part.Its coordinate position is Y in X-axis 0.28m to 0.78m sections
In axle 0.28m to 0.78m sections.
The core of the present invention is according to diverse location, the structural plane roughness statistical number of different directions on large scale sample
According to using assembly average as standard, aliquot part is determined by structural plane anisotropy figure comparative analysis.If change measurement
JRC method belongs to the claims in the present invention and its equivalent technologies with using similar anisotropy Statistical Comparison analysis method
In the range of, then the present invention is also intended to comprising including these changes and deformation.
Claims (1)
- A kind of 1. choosing method of three-dimensional structure face shearing strength aliquot part, it is characterised in that：The choosing method includes Following steps：(1) large-scale structure interview sample is scanned using three-dimensional laser instrument, obtains structural plane three-dimensional point cloud coordinate data；(2) the experimental design size according to structural fece sample, interception is in difference in the range of the three-dimensional coordinate of large-scale structure face The structural plane coordinate data of position；(3) horizontal centre in intercepted test structure face is found out, according to being rotary shaft by the normal of the horizontal centre, to set Deflection is determined for interval, makees the vertical plane of structural plane horizontal plane, the intersection of the plane and structural plane three-dimensional contoured surface respectively For the topography line of structural plane different directions, profile line length is equal to the lab design size of structural fece sample；(4) according to the surface coordinate information of structural plane contour line, all interceptions are calculated using Barton straight flange method simplicity formula The roughness value JRC of structural fece sample different directions；(5) according to the JRC statistical results of all samples, JRC statistical analysis is carried out by different measurement directions, solves statistical average Value and standard deviation；(6) JRC of foundation all directions assembly average result, the anisotropy figure of JRC assembly averages is drawn；(7) the JRC values according to the actual measurement of each test structure face all directions, test structure face anisotropy figure is drawn；(8) similitude of each test structure face anisotropy figure and the anisotropy figure of JRC assembly averages is contrasted, will be similar Property degree highest sample is as the aliquot part under the size condition.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108446431A (en) * | 2018-02-06 | 2018-08-24 | 中国地质大学（武汉） | Rock structural face shear strength anisotropy evaluation method |
| CN112903476A (en) * | 2021-01-13 | 2021-06-04 | 绍兴文理学院 | Shear strength evaluation method for engineering field oversized structural plane |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1667357A (en) * | 2005-04-07 | 2005-09-14 | 上海交通大学 | Pneumatic caisson oriented laser three-dimensional landform real-time display system |
| CN1779415A (en) * | 2004-11-18 | 2006-05-31 | 金华职业技术学院 | Determination of roughness coefficient of rock mass structural face |
| CN1779458A (en) * | 2004-11-18 | 2006-05-31 | 金华职业技术学院 | Shear-resistant strength empirical estimation for structural face of rock |
| CN104834806A (en) * | 2015-03-09 | 2015-08-12 | 绍兴文理学院 | Joint roughness coefficient size effect sampling representativeness evaluation method |
| CN105466790A (en) * | 2015-11-10 | 2016-04-06 | 内蒙古科技大学 | Evaluation method of shear strength of rock structural surface with anisotropic characteristics |
| CN105606463A (en) * | 2016-02-01 | 2016-05-25 | 绍兴文理学院 | Comprehensive structural surface shearing strength evaluation method for rock mass based on mean value function |
| CN105678786A (en) * | 2016-02-01 | 2016-06-15 | 绍兴文理学院 | Structural surface roughness coefficient evaluation method based on Jaccard similarity measure |
| CN105758361A (en) * | 2016-02-01 | 2016-07-13 | 绍兴文理学院 | Quantitative evaluation method of structural surface roughness coefficient anisotropy |
-
2016
- 2016-11-14 CN CN201610998578.XA patent/CN107340159B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1779415A (en) * | 2004-11-18 | 2006-05-31 | 金华职业技术学院 | Determination of roughness coefficient of rock mass structural face |
| CN1779458A (en) * | 2004-11-18 | 2006-05-31 | 金华职业技术学院 | Shear-resistant strength empirical estimation for structural face of rock |
| CN1667357A (en) * | 2005-04-07 | 2005-09-14 | 上海交通大学 | Pneumatic caisson oriented laser three-dimensional landform real-time display system |
| CN104834806A (en) * | 2015-03-09 | 2015-08-12 | 绍兴文理学院 | Joint roughness coefficient size effect sampling representativeness evaluation method |
| CN105466790A (en) * | 2015-11-10 | 2016-04-06 | 内蒙古科技大学 | Evaluation method of shear strength of rock structural surface with anisotropic characteristics |
| CN105606463A (en) * | 2016-02-01 | 2016-05-25 | 绍兴文理学院 | Comprehensive structural surface shearing strength evaluation method for rock mass based on mean value function |
| CN105678786A (en) * | 2016-02-01 | 2016-06-15 | 绍兴文理学院 | Structural surface roughness coefficient evaluation method based on Jaccard similarity measure |
| CN105758361A (en) * | 2016-02-01 | 2016-07-13 | 绍兴文理学院 | Quantitative evaluation method of structural surface roughness coefficient anisotropy |
Non-Patent Citations (2)
| Title |
|---|
| 游志诚 等: "基于三维激光扫描技术的结构面抗剪强度参数各向异性研究", 《岩石力学与工程学报》 * |
| 胡晓飞 等: "结构面粗糙度系数Barton直边法的简明公式", 《工程地质学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108446431A (en) * | 2018-02-06 | 2018-08-24 | 中国地质大学（武汉） | Rock structural face shear strength anisotropy evaluation method |
| CN112903476A (en) * | 2021-01-13 | 2021-06-04 | 绍兴文理学院 | Shear strength evaluation method for engineering field oversized structural plane |
| CN112903476B (en) * | 2021-01-13 | 2022-10-21 | 绍兴文理学院 | Shear strength evaluation method for engineering field oversized structural plane |
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Inventor after: Du Shigui Inventor after: Li Guoping Inventor after: Yong Rui Inventor after: Yang Xiaocong Inventor after: Xia Caichu Inventor after: Liu Wenlian Inventor after: Dai Yongxin Inventor after: Ma Chengrong Inventor after: Huang Man Inventor after: Ye Jun Inventor before: Du Shigui Inventor before: Fu Xi Inventor before: Yong Rui Inventor before: Ma Chengrong Inventor before: Xia Caichu Inventor before: Wu Faquan Inventor before: Huang Man Inventor before: Ye Jun Inventor before: Li Bo Inventor before: He Zhihai |
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Effective date of registration: 20191218 Address after: 315211 Zhejiang Province, Ningbo Jiangbei District Fenghua Road No. 818 Applicant after: Ningbo University Address before: 312000, No. 508 West Ring Road, Yuecheng District, Zhejiang, Shaoxing Applicant before: Shaoxing University |
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