CN104881564B - The construction method of structural plane roughness coefficient dimensional effect probability density estimation - Google Patents
The construction method of structural plane roughness coefficient dimensional effect probability density estimation Download PDFInfo
- Publication number
- CN104881564B CN104881564B CN201510101573.8A CN201510101573A CN104881564B CN 104881564 B CN104881564 B CN 104881564B CN 201510101573 A CN201510101573 A CN 201510101573A CN 104881564 B CN104881564 B CN 104881564B
- Authority
- CN
- China
- Prior art keywords
- mrow
- structural plane
- probability density
- msub
- roughness coefficient
- 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.)
- Active
Links
Abstract
A kind of construction method of structural plane roughness coefficient dimensional effect probability density estimation, comprises the following steps：According to structural plane contour line orientation measurement, the drawing of interrecord structure facial contour line is scanned using large scale scanner, and be converted into picture format text；According to the surface coordinate information of structural fece sample, the roughness value that the concise formula of Barton straight flanges method calculates Series of Samples is adopted；Based on only as and significance test, respectively to the overall distribution progress Weibull probability density functions fitting (1) of each size sample data；Weibull distribution mesoscale parameters a, form parameter b and specimen size l functional relation are explored, and then structural plane roughness coefficient dimensional effect probability density estimation (2) can be built.It is of the invention can influence of the accurate description dimensional effect to structural plane roughness coefficient statistical law, so as to easily and quickly estimate the shearing strength of array of sizes structural plane.
Description
Technical field
The present invention relates to a kind of structural plane roughness coefficient probability statistics model, specifically, the invention provides one kind
Consider the construction method of the sample roughness value probability density estimation of structural plane dimensional effect.Suitable for according to roughness
Coefficient measures Statistical Analysis, estimates the occasion of array of sizes structural face shear strength.
Background technology
Before the present invention makes, at present still not on structural plane roughness coefficient dimensional effect probability density function mould
The report of type.Structural face shear strength is the key parameter of engineering rock mass stability analysis and consolidation process design.It is indoor and existing
Field direct shear test is to determine the basic skills of this parameter, but the structural plane experiment for carrying out various sizes is often less feasible.
Early in the eighties in last century, the scholar such as N.Barton is shown by the direct shear test research of structural face shear strength, structural plane
Wall rock intensity and surface undulation form are the principal elements for determining shearing strength, and propose famous JRC-JCS empirical estimatings
Model, this method has that cost is low, speed is fast, the remarkable advantage such as simple and easy to do.Because rock mass discontinuity configuration of surface has respectively
The features such as the matter opposite sex, anisotropy and heterogencity.In structural plane surface roughness values orientation survey, the knot of each measuring section
There is also difference for structure face configuration of surface.Therefore, how estimation is carried out to structural plane roughness coefficient under the conditions of array of sizes to seem
It is particularly important.Before making the present invention, researchers have carried out desk study to structural plane roughness coefficient probability statistical analysis, have
The representative studies achievement for closing structural plane roughness coefficient statistical measurement is as follows：
(1) 2004 year, Publication No. CN 1779414A Chinese patent application《Rock structural plane roughness coefficient is determined
Method》In, it is proposed that it is specific that exposure rock is tested using contourgraph about the Statistical Determination of rock structural plane roughness coefficient
Body structural plane length surface 10cm multiple surveys section, determines that structural plane is coarse according to the roughness value statistical law of each survey section
Spend the mathematic expectaion of coefficient.
(2) 2006 years, Publication No. CN 1779458A Chinese patent application《Rock mass structural plane shearing strength experience is estimated
Calculation method》In, it is proposed that the different roughness value of section, meter are surveyed for 10cm, 30cm according to each structural plane surface area length
Calculate the structural plane roughness coefficient of correspondence length.
(3) 2013 years, it is valued for when Huang Man, Luo comrade-in-arms, Du《The sample representation experimental study of petrophysical model structural plane》One
Wen Zhong, to measurement and statistical analysis of the sampling size for 10cm 18 groups of rock structural face roughness values (JRC), is somebody's turn to do
Structural plane roughness coefficient probability density function of the size based on normal distribution law.
Research shows that the structural face shear strength roughness value regularity of distribution is related to structural plane sampling size：Sample chi
Very little smaller, the otherness of sample shearing strength is more notable；Roughness value average value subtracts with the increase of sample sampling length
It is small.However, the studies above work only considered the probability statistics rule of structural plane roughness coefficient under a certain size, do not build
The functional relation of vertical structural plane roughness coefficient probability statistics rule and sampling size, does not more propose to consider the knot of dimensional effect
Structure surface roughness coefficient probability density estimation.Therefore, there is limitation in existing structural plane roughness coefficient statistical model,
It cannot be directly used to the estimation of array of sizes structural face shear strength.
The content of the invention
Array of sizes structural plane shearing resistance is cannot be directly used in order to overcome existing structure surface roughness coefficients statistics model
The deficiency of the estimation of intensity, the present invention provides a kind of structure of structural plane roughness coefficient dimensional effect probability density estimation
Method, can influence of the accurate description dimensional effect to structural plane roughness coefficient statistical law, so as to easily and quickly
Estimate the shearing strength of array of sizes structural plane.
The technical solution adopted for the present invention to solve the technical problems is：
A kind of construction method of structural plane roughness coefficient dimensional effect probability density estimation, comprises the following steps：
1) according to structural plane contour line orientation measurement, using large scale scanner by the drawing of interrecord structure facial contour line
It is scanned, and is converted into picture format text；
2) according to the surface coordinate information of structural fece sample, adopt the concise formula of Barton straight flanges method and calculate the thick of Series of Samples
Roughness coefficient；
3) it is general to the overall distribution progress Weibull of each size sample data respectively based on only as and significance test
Rate density function is fitted：
Wherein, f (x | a, b) is Weibull probability density functions, and a is the scale parameter during Weibull is distributed, and b is
Form parameter in Weibull distributions, x is one-dimensional real random variable；
4) Weibull distribution mesoscale parameters a, form parameter b and specimen size l functional relation are explored, and then can structure
Build structural plane roughness coefficient dimensional effect probability density estimation：
L ∈ [universe] (2)；
Wherein, f (x | a (l), b (l)) is structural plane roughness coefficient dimensional effect probability density function, and a (l) is yardstick
Functions of the parameter a on specimen size l, b (l) is functions of the form parameter b on specimen size l.
Further, the construction method also comprises the following steps：
5) according to structural plane roughness coefficient dimensional effect probability density function, probability density function maximum is taken to be used as this
Structural plane roughness estimate JRC under size conditionn；
6) array of sizes structural plane roughness estimate is brought into structural face shear strength experience estimation formulas (3), you can
Calculate array of sizes structural face shear strength estimates of parameters τp
Wherein, σnTo act on the normal stress of structural plane, φbFor structural plane basal farmland dependency, JRCnIt is for sample length
LnStructural plane roughness coefficient, JCSnIt is L for sample lengthnWall rock intensity.
Beneficial effects of the present invention are mainly manifested in：Can accurate description dimensional effect to structural plane roughness coefficient count
The influence of rule, so as to easily and quickly estimate the shearing strength of array of sizes structural plane.
Brief description of the drawings：
Fig. 1 is Weibull distribution mesoscale parameter a and specimen size l function relation figure.
Fig. 2 is the function relation figure of form parameter b and specimen size l in Weibull distributions.
Embodiment
The invention will be further described below.
A kind of construction method of structural plane roughness coefficient dimensional effect probability density estimation, comprises the following steps：
1) according to structural plane contour line orientation measurement, using large scale scanner by the drawing of interrecord structure facial contour line
It is scanned, and is converted into picture format text；
2) according to the surface coordinate information of structural fece sample, adopt the concise formula of Barton straight flanges method and calculate the thick of Series of Samples
Roughness coefficient；
3) it is general to the overall distribution progress Weibull of each size sample data respectively based on only as and significance test
Rate density function is fitted：
Wherein, f (x | a, b) is Weibull probability density functions, and a is the scale parameter during Weibull is distributed, and b is
Form parameter in Weibull distributions, x is one-dimensional real random variable；
4) Weibull distribution mesoscale parameters a, form parameter b and specimen size l functional relation are explored, and then can structure
Build structural plane roughness coefficient dimensional effect probability density estimation：
L ∈ [universe] (2)；
Wherein, f (x | a (l), b (l)) is structural plane roughness coefficient dimensional effect probability density function, and a (l) is yardstick
Parameter a and specimen size l function, b (l) is form parameter b and specimen size l function.
Further, the construction method also comprises the following steps：
5) according to structural plane roughness coefficient dimensional effect probability density function, probability density function maximum is taken to be used as this
Structural plane roughness estimate JRC under size conditionn；
6) array of sizes structural plane roughness estimate is brought into structural face shear strength experience estimation formulas (3), you can
Calculate array of sizes structural face shear strength estimates of parameters τp
Wherein, σnTo act on the normal stress of structural plane, φbFor structural plane basal farmland dependency, JRCnIt is for sample length
LnStructural plane roughness coefficient, JCSnIt is L for sample lengthnWall rock intensity.
The present embodiment chooses the good typical slate structural plane of Changshan County, Zhejiang Province exposure condition as research object, series
The measurement process of the shearing strength in dimensional structure face is as follows：
1) using the structural plane contour line of profilograph orientation survey 100cm size ranges；
2) drawing of interrecord structure facial contour line is scanned using large scale scanner, and is converted into picture format text
This；
3) structural plane contour scanning map is extracted and handled by gray value using Matlab softwares, extract series
Dimensional structure interviews the surface coordinate information of sample；
4) according to the surface coordinate information of structural fece sample, Series of Samples is calculated using the concise formula of Barton straight flanges method
Roughness value；
5) based on only as learn and significance test, respectively to size be 10cm, 20cm, 30cm, 40cm, 50cm, 60cm,
The overall distribution of 70cm, 80cm, 90cm sample data carries out Weibull probability density function fittings, the statistical result such as institute of table 1
Show.
Table 1
6) analysis Weibull distribution mesoscale parameters a, form parameter b and specimen size l functional relation, as shown in Figure 1, Figure 2
It is shown, and then functional relation a (l), form parameter and the examination of scale parameter and specimen size can be obtained by Function Fitting respectively
The functional relation b (l) of sample ruler cun.Build structural plane roughness coefficient dimensional effect probability density estimation：
L ∈ [universe]
7) according to structural plane roughness coefficient dimensional effect probability density function, structural fece sample research size l is substituted into*,
Probability density function maximum is calculated, as structural plane roughness estimate JRC under the size conditionn。
8) array of sizes structural plane roughness estimate is brought into structural face shear strength experience estimation formulas, you can calculate
Array of sizes structural face shear strength estimates of parameters.
Claims (2)
1. a kind of construction method of structural plane roughness coefficient dimensional effect probability density estimation, it is characterised in that：It is described
Construction method comprises the following steps：
1) according to structural plane contour line orientation measurement, the drawing of interrecord structure facial contour line is carried out using large scale scanner
Scanning, and it is converted into picture format text；
2) according to the surface coordinate information of structural fece sample, the coarse of Series of Samples is calculated using the concise formula of Barton straight flanges method
Spend coefficient；
3) it is close to the overall distribution progress Weibull probability of each size sample data respectively based on only as and significance test
Spend Function Fitting：
<mrow>
<mi>f</mi>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>|</mo>
<mi>a</mi>
<mo>,</mo>
<mi>b</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mi>b</mi>
<mi>a</mi>
</mfrac>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mi>x</mi>
<mi>a</mi>
</mfrac>
<mo>)</mo>
</mrow>
<mrow>
<mi>b</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</msup>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<msup>
<mrow>
<mo>(</mo>
<mi>x</mi>
<mo>/</mo>
<mi>a</mi>
<mo>)</mo>
</mrow>
<mi>b</mi>
</msup>
</mrow>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, f (x | a, b) is Weibull probability density functions, and a is the scale parameter during Weibull is distributed, and b is Weibull
Form parameter in distribution, x is one-dimensional real random variable；
4) Weibull distribution mesoscale parameters a, form parameter b and specimen size l functional relation are explored, and then knot can be built
Structure surface roughness coefficient dimensional effect probability density estimation：
Wherein, f (x | a (l), b (l)) is structural plane roughness coefficient dimensional effect probability density function, and a (l) is scale parameter a
On specimen size l function, b (l) is functions of the form parameter b on specimen size l.
2. a kind of structure side of structural plane roughness coefficient dimensional effect probability density estimation as claimed in claim 1
Method, it is characterised in that：The construction method also comprises the following steps：
5) according to structural plane roughness coefficient dimensional effect probability density function, probability density function maximum is taken to be grown as sampling
Spend for LnStructural plane roughness coefficient estimate JRCn；
6) array of sizes structural plane roughness estimate is brought into structural face shear strength experience estimation formulas (3), you can calculate
Array of sizes structural face shear strength estimates of parameters τp
<mrow>
<msub>
<mi>&tau;</mi>
<mi>p</mi>
</msub>
<mo>=</mo>
<msub>
<mi>&sigma;</mi>
<mi>n</mi>
</msub>
<mi>t</mi>
<mi>a</mi>
<mi>n</mi>
<mo>&lsqb;</mo>
<msub>
<mi>&phi;</mi>
<mi>b</mi>
</msub>
<mo>+</mo>
<msub>
<mi>JRC</mi>
<mi>n</mi>
</msub>
<mi>lg</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mrow>
<msub>
<mi>JCS</mi>
<mi>n</mi>
</msub>
</mrow>
<msub>
<mi>&sigma;</mi>
<mi>n</mi>
</msub>
</mfrac>
<mo>)</mo>
</mrow>
<mo>&rsqb;</mo>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, σnTo act on the normal stress of structural plane, φbFor structural plane basal farmland dependency, JRCnIt is L for sample lengthn's
Structural plane roughness coefficient estimate, JCSnIt is L for sample lengthnWall rock intensity.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510101573.8A CN104881564B (en) | 2015-03-09 | 2015-03-09 | The construction method of structural plane roughness coefficient dimensional effect probability density estimation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510101573.8A CN104881564B (en) | 2015-03-09 | 2015-03-09 | The construction method of structural plane roughness coefficient dimensional effect probability density estimation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104881564A CN104881564A (en) | 2015-09-02 |
| CN104881564B true CN104881564B (en) | 2017-10-13 |
Family
ID=53949057
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510101573.8A Active CN104881564B (en) | 2015-03-09 | 2015-03-09 | The construction method of structural plane roughness coefficient dimensional effect probability density estimation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104881564B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107036561B (en) * | 2016-11-14 | 2019-05-31 | 绍兴文理学院 | The anisotropic approximate expression method of structural plane roughness based on middle intelligence number function |
| CN106570338B (en) * | 2016-11-14 | 2020-05-08 | 绍兴文理学院 | Method for determining sampling precision of contour line in roughness size effect of rock mass structural plane |
| CN109099880B (en) * | 2018-07-12 | 2020-08-11 | 宁波大学 | Rock mass structural plane roughness coefficient global search measuring method |
| CN109029334B (en) * | 2018-07-12 | 2020-06-02 | 宁波大学 | Rock mass structural plane roughness coefficient size effect global search measurement method |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1645049A (en) * | 2004-12-15 | 2005-07-27 | 金华职业技术学院 | Method for determining dimensional size effects of toughness coefficients of typical stone structural surface |
| CN1645092A (en) * | 2004-12-15 | 2005-07-27 | 金华职业技术学院 | Method for evaluating reliability of estimated value of shear strength of stone structural surface |
| CN1779414A (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 |
| CN1815183A (en) * | 2006-02-24 | 2006-08-09 | 浙江建设职业技术学院 | Evaluation method for representitiveness of rock structural fece sample |
| CN1815185A (en) * | 2006-02-24 | 2006-08-09 | 浙江建设职业技术学院 | Engineering rock structural face shear strength sampling method |
| CN101050959A (en) * | 2007-04-30 | 2007-10-10 | 浙江建设职业技术学院 | Juding method for for measuring effictiveness of large size structure surface contour curve roughness coefficient |
| US8204714B2 (en) * | 2010-02-26 | 2012-06-19 | International Business Machines Corporation | Method and computer program product for finding statistical bounds, corresponding parameter corners, and a probability density function of a performance target for a circuit |
| CN103558094A (en) * | 2013-09-23 | 2014-02-05 | 绍兴文理学院 | Method for representatively sampling subsize rock model structural surface sample sampled based on layering probability |
| CN103926156A (en) * | 2014-04-10 | 2014-07-16 | 内蒙古科技大学 | Multi-fractal evaluation method for three-dimensional rock structure surface shear mechanical behavior |
| CN104359772A (en) * | 2014-10-08 | 2015-02-18 | 绍兴文理学院 | Method for determining normal stress threshold value of peak friction angles of rock mass structural planes |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP4176056B2 (en) * | 2004-06-24 | 2008-11-05 | 株式会社東芝 | Travel evaluation device, travel evaluation method, and travel evaluation program |
-
2015
- 2015-03-09 CN CN201510101573.8A patent/CN104881564B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1779414A (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 |
| CN1645049A (en) * | 2004-12-15 | 2005-07-27 | 金华职业技术学院 | Method for determining dimensional size effects of toughness coefficients of typical stone structural surface |
| CN1645092A (en) * | 2004-12-15 | 2005-07-27 | 金华职业技术学院 | Method for evaluating reliability of estimated value of shear strength of stone structural surface |
| CN1815183A (en) * | 2006-02-24 | 2006-08-09 | 浙江建设职业技术学院 | Evaluation method for representitiveness of rock structural fece sample |
| CN1815185A (en) * | 2006-02-24 | 2006-08-09 | 浙江建设职业技术学院 | Engineering rock structural face shear strength sampling method |
| CN101050959A (en) * | 2007-04-30 | 2007-10-10 | 浙江建设职业技术学院 | Juding method for for measuring effictiveness of large size structure surface contour curve roughness coefficient |
| US8204714B2 (en) * | 2010-02-26 | 2012-06-19 | International Business Machines Corporation | Method and computer program product for finding statistical bounds, corresponding parameter corners, and a probability density function of a performance target for a circuit |
| CN103558094A (en) * | 2013-09-23 | 2014-02-05 | 绍兴文理学院 | Method for representatively sampling subsize rock model structural surface sample sampled based on layering probability |
| CN103926156A (en) * | 2014-04-10 | 2014-07-16 | 内蒙古科技大学 | Multi-fractal evaluation method for three-dimensional rock structure surface shear mechanical behavior |
| CN104359772A (en) * | 2014-10-08 | 2015-02-18 | 绍兴文理学院 | Method for determining normal stress threshold value of peak friction angles of rock mass structural planes |
Non-Patent Citations (8)
| Title |
|---|
| Generalized Models for Rock Joint Surface Shapes;Shigui Du et.al.;《he Scientiic World Journal》;20140724;全文 * |
| 基于多尺度直剪试验的岩石模型结构面抗剪强度特征研究;黄曼 等;《岩土力学》;20131130;第34卷(第11期);全文 * |
| 岩体结构面粗糙度各向异性特征及尺寸效应分析;陈世江 等;《岩石力学与工程学报》;20150131;第34卷(第1期);全文 * |
| 岩体结构面起伏幅度尺寸效应的试验研究;杜时贵 等;《工程地质学报》;20101231;第18卷;全文 * |
| 岩石模型结构面的取样代表性试验研究;黄曼 等;《岩石力学与工程学报》;20131031;第32卷(第10期);第2009-2014页 * |
| 系列尺度岩石结构面相似表面模型制作的逆向控制技术研究;黄曼 等;《岩土力学》;20130430;第34卷(第4期);全文 * |
| 结构面粗糙度系数Barton直边法的简明公式;胡晓飞 等;《工程地质学报》;20081231;第16卷(第2期);第196-200页 * |
| 综合考虑宏细观缺陷的岩体损伤本构模型及破坏机理研究;张吉宏;《中国博士学位论文全文数据库 工程科技Ⅱ辑》;20150228(第2期);第50-52页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104881564A (en) | 2015-09-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104834806B (en) | Structural plane roughness coefficient dimensional effect sample representation evaluation method | |
| CN104881564B (en) | The construction method of structural plane roughness coefficient dimensional effect probability density estimation | |
| CN103926156B (en) | A kind of three-dimensional rock structural face shears mechanical behavior multifractal appraisal procedure | |
| CN105606463B (en) | A kind of rock mass structural plane shearing strength integrated evaluating method based on middle intelligence function | |
| CN106482674B (en) | The approximate expression method of structural plane roughness dimensional effect based on middle intelligence number function | |
| CN105758361A (en) | Quantitative evaluation method of structural surface roughness coefficient anisotropy | |
| CN103886613B (en) | A kind of rock structural face pattern anisotropy evaluation analysis method | |
| CN104833333B (en) | Structural plane roughness coefficient dimensional effect sample characterization unit determines method | |
| CN107036561B (en) | The anisotropic approximate expression method of structural plane roughness based on middle intelligence number function | |
| CN105466790A (en) | Evaluation method of shear strength of rock structural surface with anisotropic characteristics | |
| CN104535981A (en) | Double-quantile estimation method for sea clutter Pareto amplitude distribution parameters | |
| CN101788449B (en) | Method used for measuring vertical saturation permeability coefficient of soil | |
| CN101762445B (en) | Soil saturation hydraulic conductivity measuring and calculating method based on infiltration time characteristic parameters | |
| CN206656765U (en) | A kind of combination type multifunction water leveling ruler | |
| CN106769276B (en) | Three-dimensional structure face aliquot part choosing method based on Dice similarity measure | |
| Song et al. | Investigation on wind-induced aero-elastic effects of tall buildings by wind tunnel test using a bi-axial forced vibration device | |
| CN101738356A (en) | Method for measuring and calculating soil wetting front suction | |
| CN105137041B (en) | The monitoring method and system of soil parameters spatial distribution | |
| CN106932607A (en) | A kind of easy judgement survey wind data is blocked the method and apparatus for influenceing by anemometer tower body | |
| CN106846481B (en) | Geological profile generation method | |
| CN109520461A (en) | The statistical sample number of array of sizes rock structural plane roughness sample determines method | |
| CN106546189A (en) | A kind of anisotropic evaluation methodology of array of sizes rock mass discontinuity relief intensity | |
| CN107340159A (en) | The choosing method of three-dimensional structure face shearing strength aliquot part | |
| CN103606150B (en) | The method of a kind of local variance quantitative detection object space general layout size regularly | |
| CN109029334A (en) | Harshness coefficient size effect of rock structural face universe searches for measurement method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Du Shigui Inventor after: Yong Rui Inventor after: Huang Man Inventor after: Liang Qifeng Inventor after: Luo Zhanyou Inventor after: Hu Yunjin Inventor after: Wu Faquan Inventor after: Xia Caichu Inventor before: Yong Rui Inventor before: Du Shigui Inventor before: Huang Man Inventor before: Liang Qifeng Inventor before: Luo Zhanyou Inventor before: Hu Yunjin Inventor before: Zhong Zhen |
|
| COR | Change of bibliographic data | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Du Shigui Inventor after: Yong Rui Inventor after: Huang Man Inventor after: Liu Yuming Inventor after: Xia Caichu Inventor after: Liu Wenlian Inventor after: Ren Weizhong Inventor after: Li Changhong Inventor before: Du Shigui Inventor before: Yong Rui Inventor before: Huang Man Inventor before: Liang Qifeng Inventor before: Luo Zhanyou Inventor before: Hu Yunjin Inventor before: Wu Faquan Inventor before: Xia Caichu |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20150902 Assignee: Beijing mining and metallurgy science and Technology Group Co., Ltd. Assignor: Shaoxing University Contract record no.: 2018330000013 Denomination of invention: Establishing method of joint roughness coefficient size effect probability density function model Granted publication date: 20171013 License type: Common License Record date: 20180211 Application publication date: 20150902 Assignee: China Nonferrous Metals Industry Kunming survey design and Research Institute Co Ltd Assignor: Shaoxing University Contract record no.: 2018330000012 Denomination of invention: Establishing method of joint roughness coefficient size effect probability density function model Granted publication date: 20171013 License type: Common License Record date: 20180211 Application publication date: 20150902 Assignee: Zhejiang mountain and Sichuan Geological Environment Consulting Co., Ltd. Assignor: Shaoxing University Contract record no.: 2018330000010 Denomination of invention: Establishing method of joint roughness coefficient size effect probability density function model Granted publication date: 20171013 License type: Common License Record date: 20180211 Application publication date: 20150902 Assignee: Sinosteel Maanshan Institute of Mining Research Co., Ltd. Assignor: Shaoxing University Contract record no.: 2018330000011 Denomination of invention: Establishing method of joint roughness coefficient size effect probability density function model Granted publication date: 20171013 License type: Common License Record date: 20180211 |