CN117288587B - Rock tensile strength while drilling test method and system - Google Patents
Rock tensile strength while drilling test method and system Download PDFInfo
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- CN117288587B CN117288587B CN202311578535.2A CN202311578535A CN117288587B CN 117288587 B CN117288587 B CN 117288587B CN 202311578535 A CN202311578535 A CN 202311578535A CN 117288587 B CN117288587 B CN 117288587B
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- 238000005553 drilling Methods 0.000 title claims abstract description 107
- 239000011435 rock Substances 0.000 title claims abstract description 58
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- 238000010200 validation analysis Methods 0.000 claims description 2
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
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- E—FIXED CONSTRUCTIONS
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- E21F—SAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
- E21F17/00—Methods or devices for use in mines or tunnels, not covered elsewhere
- E21F17/18—Special adaptations of signalling or alarm devices
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
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- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2203/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N2203/0014—Type of force applied
- G01N2203/0016—Tensile or compressive
- G01N2203/0017—Tensile
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
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Abstract
The invention belongs to the technical field of rock engineering survey, and provides a method and a system for testing tensile strength of a rock mass while drilling, which are used for acquiring parameters while drilling in an indoor rock mass drilling test; obtaining conventional tensile strength; controlling the drilling speed and the rotating speed to be unchanged, acquiring real-time drilling pressure, cutting torque and cutting energy data, and establishing a relation model of tensile strength and corresponding real-time parameters; controlling drilling pressure and rotating speed, acquiring real-time drilling speed, cutting torque and cutting energy data, and establishing a relation model of tensile strength and corresponding real-time parameters; obtaining corresponding weight coefficients according to the fitting coefficients determined in all the relation models; and establishing a tensile strength prediction model to obtain a prediction result. According to the method, the tensile strength and the parameter while drilling relation model is established, and the fitting coefficient is utilized to establish the prediction model based on the tensile strength weight coefficient, so that the method can be used for in-situ testing of the rock mass on site, and the testing working efficiency is improved.
Description
Technical Field
The invention belongs to the technical field of geotechnical engineering investigation, and particularly relates to a method and a system for testing tensile strength of a rock mass while drilling.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the gradual progress of underground projects such as mine tunnels, traffic tunnels and the like to deep parts, disasters such as large deformation, roof collapse and the like of deep surrounding rocks occur. The tensile strength is an important index reflecting the mechanical property of the rock mass and is far lower than the compressive strength, and the characteristics of the mechanical property lead to the rock mass of the underground engineering to be mainly broken by tension, so that the accurate test of the tensile strength of the rock mass is important for the stability control of the surrounding rock of the underground engineering.
The inventor knows that the tensile strength test of the existing rock is still mainly limited to indoor experiments, and the conventional point load test of a splitting method and an irregular test piece is adopted. The conventional method for testing the tensile strength of the rock mass needs to drill and core the rock mass on site and convey the rock mass to a laboratory for experiments, so the conventional method for testing the tensile strength of the rock mass has long period and high cost. And the test rock mass is required to be separated from the rock mass, so that the real stress state of the rock mass is destroyed, and the tensile strength of the rock mass in the field real environment can not be obtained.
In summary, at present, an in-situ accurate testing method for the tensile strength of a field rock mass is not available.
Disclosure of Invention
In order to solve the technical problems in the background technology, the invention provides a method and a system for testing the tensile strength of a rock mass while drilling.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a method for testing tensile strength of a rock mass while drilling, comprising the steps of:
obtaining drilling pressure and cutting torque in indoor rock drilling test、Drilling speed, rotating speed and cutting energy while drilling parameters;
obtaining the tensile strength of a sample obtained by testing the tensile strength of an indoor rock mass;
controlling the drilling speed and the rotating speed to be unchanged, acquiring real-time drilling pressure, cutting torque and cutting energy data, fitting the tensile strength obtained by indoor test with the real-time drilling pressure, cutting torque and cutting energy data respectively, and establishing a relation model of the tensile strength and corresponding real-time parameters;
controlling drilling pressure and rotating speed, acquiring real-time drilling speed, cutting torque and cutting energy data, fitting the tensile strength obtained by indoor test with the real-time drilling speed, the cutting torque and the cutting energy respectively, and acquiring a relation model of the tensile strength and corresponding real-time parameters;
based on the fitting coefficients determined in all the relation models, obtaining corresponding weight coefficients;
based on the weight coefficient, a tensile strength prediction model is established;
and predicting by using the tensile strength prediction model based on the on-site acquired while-drilling parameters to obtain a prediction result.
As an alternative embodiment, the method further comprises verifying the validity of the established tensile strength prediction model before the prediction by using the tensile strength prediction model, and predicting by using the verified model.
Further, the validation process includes calculating a difference rate between a predicted value of the tensile strength of the rock mass and the tensile strength, and considering the model as valid if the difference rate is smaller than a set error and each fitting coefficient is larger than the set value.
The difference rate is the absolute value of the predicted value of the tensile strength of the rock mass and the ratio of the difference value of the tensile strength to the tensile strength.
In an alternative embodiment, the specific process of fitting the tensile strength obtained by the indoor test with the real-time drilling pressure, cutting torque and cutting energy data respectively comprises the following steps:
and respectively establishing equation relations between the tensile strength obtained by indoor test and real-time drilling pressure, cutting torque and cutting energy data, wherein the equation relations are linear function equations of the tensile strength and corresponding real-time parameters.
Further, fitting coefficients of each relational model were recorded.
In an alternative embodiment, the specific process of fitting the tensile strength obtained by the indoor test with the real-time drilling speed, the cutting torque and the cutting energy respectively comprises the following steps:
and respectively establishing equation relations between the tensile strength obtained by the indoor test and real-time drilling speed, cutting torque and cutting energy data, wherein the equation relations are linear function equations of the tensile strength and corresponding real-time parameters.
Further, fitting coefficients of each relational model were recorded.
Alternatively, the weight coefficient is a ratio of a fitting function of the corresponding relation model to a fitting function of all relation models.
Alternatively, the tensile strength prediction model is a sum of products of each weight coefficient and a corresponding relationship model.
A rock mass tensile strength while drilling test system, comprising:
a parameter while drilling acquisition module configured to acquire drilling pressure and cutting torque in an indoor rock drilling test、Drilling speed, rotating speed and cutting energy while drilling parameters;
the tensile strength acquisition module is configured to acquire the tensile strength of a sample obtained by testing the tensile strength of the indoor rock mass;
the first control module is configured to control the drilling speed and the rotating speed to be unchanged, acquire real-time drilling pressure, cutting torque and cutting energy data, fit the tensile strength obtained by indoor test with the real-time drilling pressure, the cutting torque and the cutting energy data respectively, and establish a relation model of the tensile strength and corresponding real-time parameters;
the second control module is configured to control the drilling pressure and the rotating speed, acquire real-time drilling speed, cutting torque and cutting energy data, respectively fit the tensile strength obtained by indoor test with the real-time drilling speed, the cutting torque and the cutting energy, and acquire a relation model of the tensile strength and corresponding real-time parameters;
the prediction module is configured to obtain corresponding weight coefficients based on fitting coefficients determined in all the relation models; based on the weight coefficient, a tensile strength prediction model is established; and predicting by using the tensile strength prediction model based on the on-site acquired while-drilling parameters to obtain a prediction result.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the relation model between the tensile strength and the while-drilling parameters is established, the fitting coefficient is utilized to establish the prediction model based on the tensile strength weight coefficient, after the while-drilling parameters, the tensile strength model and the tensile strength weight prediction model are verified to be effective, the method can be applied to the in-situ rock mass drilling test of the underground engineering site, the obtained while-drilling parameters are substituted into the tensile strength prediction model to predict the tensile strength of the site rock mass, the method can be used for in-situ rock mass testing, and the working efficiency of the test is improved.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a schematic diagram of a method for testing tensile strength of a rock mass while drilling in an embodiment of the invention.
Detailed Description
The invention will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
As introduced by the background art, the prior art is complicated in measuring the tensile strength of the underground rock mass, and in order to solve the technical problems, the application provides a rock mass tensile strength measurement while drilling method based on weight coefficients.
As shown in fig. 1, the method for testing the tensile strength of the rock mass while drilling comprises the following steps:
step one, performing rock mass drilling test indoors to obtain drilling pressureFCutting torqueM、Drilling rateVRotational speedNAnd cutting energyζThe method comprises the steps of carrying out a first treatment on the surface of the Simultaneously analyzing control quantity and variable of parameters while drilling in the drilling process, and determining fitted physical quantity in each relation model;
step two, developing the tensile strength analysis of the indoor rock mass, and performing the tensile strength test of the rock mass to obtain the tensile strength of the sampleσ t 。
Step three, through the analysis of step one, first drilling experiment is carried out: controlling drilling rateVAnd rotational speedNConstant, real-time drilling pressure is collectedF f Cutting torqueM f Cutting energyζ f Data, tensile Strength obtained by routine testingσ t And drilling pressureF f Fitting and establishing tensile strengthσ t And drilling pressureF f Is a model of the relationship:。
tensile strength toσ t And cutting torqueM f Fitting and establishing tensile strengthσ t And cutting torqueM f Is a model of the relationship:。
tensile strength toσ t And cutting energyζ f Fitting and establishing tensile strengthσ t And cutting energyζ f Is a model of the relationship:
the method comprises the steps of carrying out a first treatment on the surface of the Simultaneous recording of fitting coefficientsR 1 2 、R 2 2 、R 3 2 。
Then, a second drilling test is carried out to control the drilling pressureFAnd rotational speedNThe real-time drilling speed is collected unchangedV s Cutting torqueM s Cutting energyζ s Data, tensile Strengthσ t And drilling rateV s Fitting and establishing tensile strengthσ t And drilling rateV s Is a model of the relationship:。
tensile strength toσ t And cutting torqueM s Fitting and establishing tensile strengthσ t And cutting torqueM s Is a model of the relationship:。
tensile strength toσ t And cutting energyζ s Fitting and establishing tensile strengthσ t And cutting energyζ s Is a model of the relationship:
the method comprises the steps of carrying out a first treatment on the surface of the Simultaneous recording of fitting coefficientsR 4 2 、R 5 2 、R 6 2 。
In the above-mentioned manner,a i ,b i are coefficients.
Step four, the fitting coefficient obtained in the process is brought into a formula:obtaining the weight coefficientc i (i=1,2,3,4,5,6)。
Fifthly, building a tensile strength prediction model based on weight coefficients:in which, in the process,σ tp is a predicted value of the tensile strength of the rock mass,σ ti (i=1, 2,3,4,5, 6) is the established tensile strength relationship model.
Step six, predicting the tensile strength of the rock massσ tp Firstly, calculating the predicted value of the tensile strength of the rock massσ tp And tensile strengthσ t Is the difference rate of (2)λ:;
When the difference rateλLess than the error requirement, fitting coefficientR 1 2 、R 2 2 、R 3 2 、R 4 2 、R 5 2 、R 6 2 Greater thanαIn the time-course of which the first and second contact surfaces,the coefficient representing the error magnitude set before the test. And the tensile strength prediction model is proved to be reasonable and effective, otherwise, the model is optimized and recalculated.
The optimization process is to adjust the weight coefficients and then to calculate again by substituting the weight coefficients into the model.
And seventhly, carrying out underground on-site drilling test after the conditions are met, substituting the obtained while-drilling parameters into a tensile strength prediction model, and accurately and efficiently predicting the tensile strength of the on-site rock mass.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. The method for testing the tensile strength of the rock mass while drilling is characterized by comprising the following steps of:
step one, performing rock drilling test indoors to obtain drilling pressure F, cutting torque M, drilling speed V, rotating speed N and cutting energy zeta; simultaneously analyzing control quantity and variable of parameters while drilling in the drilling process, and determining fitted physical quantity in each relation model;
step two, developing the tensile strength analysis of the indoor rock mass, and performing the tensile strength test of the rock mass to obtain the tensile strength sigma of the sample t ;
Step three, through the analysis of step one, first drilling experiment is carried out: the drilling speed V and the rotating speed N are controlled to be unchanged, and the real-time drilling pressure F is collected f Cutting torque M f Cutting energy ζ f Data, tensile strength sigma obtained by conventional test t With drilling pressure F f Fitting to establish tensile strength sigma t With drilling pressure F f Is a model of the relationship:;
will tensile strength sigma t And cutting torque M f Fitting to establish tensile strength sigma t And cutting torque M f Is a model of the relationship:;
will tensile strength sigma t And cutting energy ζ f Fitting to establish tensile strength sigma t And cutting energy ζ f Is a model of the relationship:
the method comprises the steps of carrying out a first treatment on the surface of the Simultaneously recording the fitting coefficient R 1 2 、R 2 2 、R 3 2 ;
Then, a second drilling test is carried out, the drilling pressure F and the rotating speed N are controlled to be unchanged, and the real-time drilling speed V is acquired s Cutting torque M s Cutting energy ζ s Data, tensile Strength sigma t And drilling speed V s Fitting to establish tensile strength sigma t And drilling speed V s Is a model of the relationship:;
will tensile strength sigma t And cutting torque M s Fitting to establish tensile strength sigma t And cutting torque M s Is a model of the relationship:;
will tensile strength sigma t And cutting energy ζ s Fitting to establish tensile strength sigma t And cutting energy ζ s Is a model of the relationship:
the method comprises the steps of carrying out a first treatment on the surface of the Simultaneously recording the fitting coefficient R 4 2 、R 5 2 、R 6 2 ;
The above, a i ,b i Are coefficients, i=1, 2,3,4,5,6;
step four, the fitting coefficient obtained in the process is brought into a formula:obtaining a weight coefficient c i ,i=1,2,3,4,5,6;
Fifthly, building a tensile strength prediction model based on weight coefficients:in which sigma tp Is the predicted value of the tensile strength of the rock mass, sigma ti I=1, 2,3,4,5,6 is the established tensile strength relationship model.
2. The method of testing while drilling for tensile strength of a rock mass according to claim 1, further comprising validating the established tensile strength prediction model prior to predicting using the tensile strength prediction model, and predicting using the validated model.
3. The method of testing while drilling of tensile strength of a rock mass according to claim 2, wherein the validation process comprises calculating a difference between a predicted value of tensile strength of the rock mass and the tensile strength, and considering the model as valid if the difference is smaller than a set error and each fitting coefficient is larger than the set value.
4. A method of testing the tensile strength of a rock mass while drilling as claimed in claim 3, wherein the rate of difference is the predicted value of the tensile strength of the rock mass and the absolute value of the ratio of the difference in tensile strength to the tensile strength.
5. A rock mass tensile strength while drilling test system, comprising:
the while-drilling parameter acquisition module is configured to acquire drilling pressure, cutting torque, drilling speed, rotating speed and cutting energy while-drilling parameters in an indoor rock drilling test;
the tensile strength acquisition module is configured to acquire the tensile strength of a sample obtained by testing the tensile strength of the indoor rock mass;
the first control module is configured to control the drilling speed and the rotating speed to be unchanged, acquire real-time drilling pressure, cutting torque and cutting energy data, fit the tensile strength obtained by indoor test with the real-time drilling pressure, the cutting torque and the cutting energy data respectively, and establish a relation model of the tensile strength and corresponding real-time parameters;
first perform a first drilling experiment: the drilling speed V and the rotating speed N are controlled to be unchanged, and the real-time drilling pressure F is collected f Cutting torque M f Cutting energy ζ f Data, tensile strength sigma obtained by conventional test t With drilling pressure F f Fitting to establish tensile strength sigma t With drilling pressure F f Is a model of the relationship:;
will tensile strength sigma t And cutting torque M f Fitting to establish tensile strength sigma t And cutting torque M f Is a model of the relationship:;
will tensile strength sigma t And cutting energy ζ f Fitting to establish tensile strength sigma t And cutting energy ζ f Is a model of the relationship:
the method comprises the steps of carrying out a first treatment on the surface of the Simultaneously recording the fitting coefficient R 1 2 、R 2 2 、R 3 2 ;
The second control module is configured to control the drilling pressure and the rotating speed, acquire real-time drilling speed, cutting torque and cutting energy data, respectively fit the tensile strength obtained by indoor test with the real-time drilling speed, the cutting torque and the cutting energy, and acquire a relation model of the tensile strength and corresponding real-time parameters;
then, a second drilling test is carried out, the drilling pressure F and the rotating speed N are controlled to be unchanged, and the real-time drilling speed V is acquired s Cutting torque M s Cutting energy ζ s Data, tensile Strength sigma t And drilling speed V s Fitting to establish tensile strength sigma t And drilling speed V s Is a model of the relationship:;
will tensile strength sigma t And cutting torque M s Fitting to establish tensile strength sigma t And cutting torque M s Is a model of the relationship:;
will tensile strength sigma t And cutting energy ζ s Fitting to establish tensile strength sigma t And cutting energy ζ s Is a model of the relationship:
the method comprises the steps of carrying out a first treatment on the surface of the Simultaneously recording the fitting coefficient R 4 2 、R 5 2 、R 6 2 ;
The above, a i ,b i Are coefficients, i=1, 2,3,4,5,6;
the prediction module is configured to obtain corresponding weight coefficients based on fitting coefficients determined in all the relation models; based on the weight coefficient, a tensile strength prediction model is established; based on the on-site acquired while-drilling parameters, predicting by using the tensile strength prediction model to obtain a prediction result;
the fitting coefficients are taken into the formula:obtaining a weight coefficient c i ,i=1,2,3,4,5,6;
The weight coefficient is the ratio of the fitting function of the corresponding relation model to the fitting function of all relation models;
the tensile strength prediction model is the sum of products of all weight coefficients and corresponding relation models.
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105938611A (en) * | 2016-07-06 | 2016-09-14 | 山东大学 | Method for fast grading underground engineering surrounding rock in real time based on parameters while drilling |
CN108519284A (en) * | 2018-03-30 | 2018-09-11 | 山东大学 | Underground engineering wall rock digital rig real-time graded method |
CN108663269A (en) * | 2018-03-30 | 2018-10-16 | 山东大学 | Underground engineering wall rock digital rig partition method based on equivalent rock mass strength |
CN109635461A (en) * | 2018-12-18 | 2019-04-16 | 中国铁建重工集团有限公司 | A kind of application carrys out the method and system of automatic identification Grades of Surrounding Rock with brill parameter |
CN111144001A (en) * | 2019-12-26 | 2020-05-12 | 湖南科技大学 | Mine shaft engineering TBM control method based on BP neural network |
WO2020199495A1 (en) * | 2019-04-01 | 2020-10-08 | 中国矿业大学 | Method and device for determining rock stratum parameters |
CN113418795A (en) * | 2021-07-13 | 2021-09-21 | 中国矿业大学 | Drilling test system and method for predicting uniaxial compressive strength of coal rock mass |
CN114518283A (en) * | 2022-01-13 | 2022-05-20 | 西安理工大学 | In-situ determination method for tensile strength and uniaxial compressive strength of rock |
CN115618526A (en) * | 2022-11-15 | 2023-01-17 | 中国矿业大学(北京) | Rock burst energy in-situ test and evaluation method |
CN116029159A (en) * | 2023-03-23 | 2023-04-28 | 中国矿业大学(北京) | Rotary-cut drilling in-situ detection method for surrounding rock of underground engineering |
CN116415447A (en) * | 2023-06-08 | 2023-07-11 | 中国矿业大学(北京) | Underground engineering surrounding rock grade while-drilling prediction and classification method |
CN116467897A (en) * | 2023-06-20 | 2023-07-21 | 中国矿业大学(北京) | Rock burst grade prediction method based on rock mass energy difference |
-
2023
- 2023-11-24 CN CN202311578535.2A patent/CN117288587B/en active Active
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105938611A (en) * | 2016-07-06 | 2016-09-14 | 山东大学 | Method for fast grading underground engineering surrounding rock in real time based on parameters while drilling |
CN108519284A (en) * | 2018-03-30 | 2018-09-11 | 山东大学 | Underground engineering wall rock digital rig real-time graded method |
CN108663269A (en) * | 2018-03-30 | 2018-10-16 | 山东大学 | Underground engineering wall rock digital rig partition method based on equivalent rock mass strength |
CN109635461A (en) * | 2018-12-18 | 2019-04-16 | 中国铁建重工集团有限公司 | A kind of application carrys out the method and system of automatic identification Grades of Surrounding Rock with brill parameter |
WO2020199495A1 (en) * | 2019-04-01 | 2020-10-08 | 中国矿业大学 | Method and device for determining rock stratum parameters |
CN111144001A (en) * | 2019-12-26 | 2020-05-12 | 湖南科技大学 | Mine shaft engineering TBM control method based on BP neural network |
CN113418795A (en) * | 2021-07-13 | 2021-09-21 | 中国矿业大学 | Drilling test system and method for predicting uniaxial compressive strength of coal rock mass |
CN114518283A (en) * | 2022-01-13 | 2022-05-20 | 西安理工大学 | In-situ determination method for tensile strength and uniaxial compressive strength of rock |
CN115618526A (en) * | 2022-11-15 | 2023-01-17 | 中国矿业大学(北京) | Rock burst energy in-situ test and evaluation method |
CN116029159A (en) * | 2023-03-23 | 2023-04-28 | 中国矿业大学(北京) | Rotary-cut drilling in-situ detection method for surrounding rock of underground engineering |
CN116415447A (en) * | 2023-06-08 | 2023-07-11 | 中国矿业大学(北京) | Underground engineering surrounding rock grade while-drilling prediction and classification method |
CN116467897A (en) * | 2023-06-20 | 2023-07-21 | 中国矿业大学(北京) | Rock burst grade prediction method based on rock mass energy difference |
Non-Patent Citations (2)
Title |
---|
地下工程围岩数字钻探测试系统研发与应用;王琦;高红科;蒋振华;李术才;江贝;;岩石力学与工程学报(第02期);全文 * |
数字钻探随钻参数与岩石单轴抗压强度关系;王琦;秦乾;高松;李术才;高红科;何满潮;江贝;章冲;;煤炭学报(第05期);全文 * |
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