CN110361264B - Method for predicting compressive strength of argillaceous siltstone - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/04—Analysing solids
- G01N29/07—Analysing solids by measuring propagation velocity or propagation time of acoustic waves
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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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
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- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N2203/0019—Compressive
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- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01N2203/02—Details not specific for a particular testing method
- G01N2203/0202—Control of the test
- G01N2203/021—Treatment of the signal; Calibration
Abstract
The invention relates to a method for predicting compressive strength of argillaceous siltstone, which comprises the following steps: the method comprises the following steps: after the core in the exploration hole is taken out, the transverse wave velocity V is made at the core position in the hole in timesVelocity V of sum longitudinal wavepTesting, namely simultaneously sending the collected rock core to a laboratory in time for indoor rock core sound wave testing; step two: longitudinal wave velocity V for observing rock core in same depth intervalp、VpVelocity of transverse wave Vs、Vs"comparison in survey holes and indoors; step three: performing a compression test on the core; step four: carrying out mud content test on the rock core fragments subjected to compression resistance; step five: analysis of mud content and compressive Strength frSimultaneously analyzing the compressive strength of the core and the wave velocity V of the shear wavesAnd velocity V of longitudinal wavepThe correlation of (c); step six: respectively making transverse wave velocity V of coresVelocity of longitudinal wave VpMud content and compressive strength frThe corresponding relation graph of (2); step seven: establishing a prediction formula fPreparation of(ii) a Step eight: establishing a corrected compressive strength correction formula fRepair the。
Description
Technical Field
The invention relates to the technical field of geotechnical tests, in particular to a method for predicting compressive strength of argillaceous siltstone.
Background
At present, the compressive strength of rock in the geotechnical test is mainly obtained by drilling in the field by a drilling machine, taking a core sample, sending the core sample to a laboratory and obtaining compressive strength data by a rock press. The argillaceous siltstone belongs to extremely soft rock, and compressive strength value is at 0 ~ 20MPa, and the value interval is little, but the rock sample receives water, heat, wet, the influence of insolate in the preservation process to be very big, can appear disintegrating, breakage, transportation process receives the vibrations fracture occasionally also to take place. Therefore, the sample needs to be measured immediately after entering the laboratory, which brings great trouble to the testers, sometimes, the samples are more, the accumulation is more, the testing speed cannot be guaranteed, and the testing accuracy is greatly influenced. In a sense, laboratory argillaceous siltstone rock compression data are often unsatisfactory.
In addition, core samples taken by field drilling rig sampling personnel are often unclear in identification, sample confusion is rare, partial strong weathering and broken cores cannot be sampled, the coring degree often depends on selection of a drilling rig and a drilling tool, and the level of an operator also has great influence on sampling. It is difficult to accurately obtain true compression data for a certain depth of the borehole, to some extent. The situation of failing to take a sample or broken samples brings many troubles to the surveying technicians, and the data finally submitted to the surveying technicians or foundation designers are often estimated by experience, which obviously has scientific property. Particularly, the core with a plurality of key parts is often unavailable, the sample is broken or shattered in the transportation process, the sample package is not damaged well, and the sample is stored in a laboratory for a long time after being sampled, so that the sample is not normally disintegrated or cracked. It is therefore imperative to change the situation where experimental or field technicians empirically estimate the rock compressive data to ensure relative quantification, even if accurate data is not available, much better than purely empirical.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides the method for predicting the compressive strength of the argillaceous siltstone, compared with the traditional test method, the method is more reasonable, the obtained data is more accurate, the test is only carried out on site, and the required samples are fewer.
The technical scheme adopted by the invention for solving the technical problems is as follows: the method for predicting the compressive strength of the argillaceous siltstone comprises the following steps:
the method comprises the following steps: after the core in the exploration hole is taken out, the transverse wave velocity V is made at the core position in the hole in timesVelocity V of sum longitudinal wavepTesting, and simultaneously timely sending the taken rock core to a laboratory for indoor rock core sound wave testing, including transverse wave velocity Vs' test and longitudinal wave velocity Vp"testing;
step two: longitudinal wave velocity V for observing rock core in same depth intervalp、VpVelocity of transverse wave Vs、Vs"comparison in survey holes and indoors;
step three: performing a compression test on the core;
step four: carrying out mud content test on the rock core fragments subjected to compression resistance;
step five: analysis of mud content and compressive Strength frSimultaneously analyzing the compressive strength of the core and the wave velocity V of the shear wavesAnd velocity V of longitudinal wavepThe correlation of (c);
step six: respectively making transverse wave velocity V of coresVelocity of longitudinal wave VpMud content and compressive strength frThe corresponding relation graph of (2);
step seven: obtaining predicted basic data by carrying out relevant experiments on exploration holes and rock cores in certain wave velocity ranges and certain mud content ranges in different regions, and respectively calculating the wave velocity V of the transverse wave by combining the corresponding relation diagram in the step sixsAnd compressive strength frAnd/or velocity V of longitudinal wavepAnd compressive strength frLinear fitting relation of (A) and empirical correction coefficient lambda of mud contentMudAccording to the wave velocity V of the transverse wavesAnd compressive strength frAnd/or velocity V of longitudinal wavepAnd compressive strength frThe linear fitting relation of the wave velocity V of the transverse wave corresponding to the argillaceous siltstone is establishedsAnd/or velocity V of longitudinal wavepAnd compressive strength frIs predicted by formula fPreparation of；
Step eight: finally, according to the prediction formula f in the step sevenPreparation ofEstablishing a corrected compressive strength correction formula fRepair the。
In a preferred embodiment of the method for predicting compressive strength of argillaceous siltstone, the shear wave velocity test in the first step is a single-hole shear test.
In a preferred embodiment of the method for predicting compressive strength of argillaceous siltstone, in the seventh step, the compressive strength f is determined according to an actual rulerWith the velocity V of the longitudinal wavepVelocity V of sum transverse wavesAre proportional to each other, and can be obtained by actual measurement data:
compressive strength frWith the velocity V of the transverse wavesThe linear fitting relation of (1): f. ofr＝aVs+ b, the fitting degree is r, and the transverse wave velocity V is obtained by synthesizing according to the linear fitting relationsAnd compressive strength frIs predicted by formula fPreparation of＝0.014*Vs-3.5；
Compressive strength frWith the velocity V of the longitudinal wavepThe linear fitting relation of (1): f. ofr＝aVp+ b, the fitting degree is r, and the longitudinal wave velocity V is obtained by synthesizing according to the linear fitting relationpAnd compressive strength frIs predicted by formula fPreparation of＝0.0102*Vp-16。
In a preferred embodiment of the method for predicting compressive strength of argillaceous siltstone, in the seventh step, the compressive strength f is determined according to an actual rulerInversely proportional to the mud content, according to the mud content and the compressive strength frThe empirical correction coefficient lambda of the mud content is obtained by comparing, screening and correcting the compressive strength of the rock predicted on site and the real compressive strength for a plurality of timesMudThe following values were taken:
0％<the mud content is less than or equal to 5 percent and lambdaMudTaking 1.05-0.95
5％<Mud content less than or equal to 25 percent and lambdaMudTaking 0.95-0.85
25％<The mud content is less than or equal to 50 percent and lambdaMudTaking 0.85-0.75.
In the inventionIn a preferred embodiment of the method for predicting the compressive strength of the argillaceous siltstone, in the eighth step, the compressive strength frThe correction formula is as follows:
frepair the＝fPreparation of*(Vs/Vs is all＇)*λMud＝(0.014*Vs-3.5)*(Vs/Vs is all＇)*λMud
Or
fRepair the＝fPreparation of*(Vp/Vp is all＇)*λMud＝(0.0102*Vp-16)*(Vp/Vp is all＇)*λMud
In the formula: vs/VpThe method comprises the steps of (1) surveying the transverse wave velocity/longitudinal wave velocity tested in a certain depth range in a hole; vs is all＇/Vp is all"is the average of the results of the acoustic testing of the core taken in the hole by inspection and sent to the room.
Compared with the prior art, the method for predicting the compressive strength of the argillaceous siltstone, provided by the invention, has the beneficial effects that:
the method of the invention has the advantages that the wave velocity is required to be measured and the compressive strength test is carried out by sampling at an early stage, the effect of estimating the compressive strength of the argillaceous siltstone rock in the field can be achieved without sampling or taking few samples (cores) after the data collection is finished, the sampling is carried out only on site, the required samples are few, samples meeting the requirements can be easily obtained, the manpower and material resources are saved, the accuracy of the result is higher, the samples cannot be distorted due to the influence of factors such as sampling, transportation or disintegration in the storage process, the method is a scheme with great economic benefit, and more reasonable and accurate data can be provided for engineering application;
compared with the existing method of acquiring the compressive strength data by adopting a sampling and pressing machine, the method has the obvious advantages that: sampling is not needed in most cases, even if sampling is carried out, the sampling is only used as a sample with mud content, and the mud content is not changed greatly in a small range, so that the sampling is simple and convenient; the requirement of the existing technical scheme on a core sample is that complete rock is needed, and many strong weathers cannot be sampled and analyzed, even if single-axis compression resistance is calculated by making point loads, the result is often not ideal, the number of tests is as large as 10 or even 20, the calculation result is generally large, the strength of medium weathers can be basically achieved, and therefore the effect of the point load tests on extremely soft rock is poor, and the engineering application requirements are difficult to meet.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:
FIG. 1 is a graph of core shear wave velocity V established from test data as provided in an embodiment of the present inventionsAnd compressive strength frThe corresponding relation graph of (2);
FIG. 2 is a graph of core longitudinal wave velocity V established from test data provided in an embodiment of the present inventionpAnd compressive strength frThe corresponding relation graph of (2);
FIG. 3 shows the core mud content and compressive strength f established according to the test data provided in the examples of the present inventionrThe corresponding relationship diagram of (1).
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The method for predicting the compressive strength of the argillaceous siltstone comprises the following steps:
step S1: after the core in the exploration hole is taken out, the transverse wave velocity V is made at the core position in the hole in timesVelocity V of sum longitudinal wavepTest, in this exampleThe shear wave velocity test adopts single-hole shear test, and simultaneously, the adopted rock core is timely sent to a laboratory for indoor rock core sound wave test, including shear wave velocity Vs' test and longitudinal wave velocity Vp"testing;
step S2: longitudinal wave velocity V for observing rock core in same depth intervalp、VpVelocity of transverse wave Vs、Vs"comparison in survey holes and indoors;
step S3: performing a compression test on the core;
step S4: the mud content of the rock core fragments subjected to compression resistance is tested, the compression strength of the argillaceous siltstone is closely related to the mud content of the sample rock core, and especially the influence of rock bubbles is more obvious, so that the mud content of the rock core fragments subjected to compression resistance can be tested;
step S5: analysis of mud content and compressive Strength frSimultaneously analyzing the compressive strength of the core and the wave velocity V of the shear wavesAnd velocity V of longitudinal wavepThe correlation of (c);
step S6: respectively making transverse wave velocity V of coresVelocity of longitudinal wave VpMud content and compressive strength frThe corresponding relation graph of (2);
step S7: obtaining predicted basic data by performing related experiments on exploration holes and rock cores in certain wave velocity ranges and certain mud content ranges in different regions, and respectively calculating the transverse wave velocity V by combining the corresponding relation diagram of the step S6sAnd compressive strength frAnd/or velocity V of longitudinal wavepAnd compressive strength frLinear fitting relation of (A) and empirical correction coefficient lambda of mud contentMudAccording to the wave velocity V of the transverse wavesAnd compressive strength frAnd/or velocity V of longitudinal wavepAnd compressive strength frThe linear fitting relation of the wave velocity V of the transverse wave corresponding to the argillaceous siltstone is establishedsAnd/or velocity V of longitudinal wavepAnd compressive strength frIs predicted by formula fPreparation of；
In particular, according to the actual law, the compressive strength frWith the velocity V of the longitudinal wavepVelocity V of sum transverse wavesAre all in direct proportion and resist compressionStrength frWith the velocity V of the transverse wavesThe linear fitting relation of (1): f. ofr＝aVs+ b, the degree of fit is r, the actual measured core shear wave velocity V is used in this examplesAnd compressive strength frTake the data of (a):
| Vs | 535 | 539 | 571 | 725 | 567 | 517 | 521 | 635 | 675 | 702 |
| fr | 3.51 | 5.52 | 5.82 | 7.28 | 5.52 | 4.42 | 3.96 | 5.62 | 6.62 | 6.57 |
establishing the core shear wave velocity V shown in figure 1 according to the test datasAnd compressive strength frThe corresponding relationship diagram of (1).
The compressive strength f can be obtained by linear regression of the above datarWith the velocity V of the transverse wavesThe linear fitting relation of (1): f. ofr＝0.0144Vs3.2338, degree of fit r is 0.907, please refer to fig. 1.
Comprehensively obtaining the wave velocity V of the shear wave according to the linear fitting relational expressionsAnd compressive strength frIs predicted by formula fPreparation of＝0.014*Vs-3.5。
In the same way, compressive strength frWith the velocity V of the longitudinal wavepThe linear fitting relation of (1): f. ofr＝aVp+ b, the degree of fit is r, the actual measured core longitudinal wave velocity V is used in this examplepAnd compressive strength frTake the data of (a):
| Vp | 2098 | 2236 | 2308 | 2452 | 2396 | 2207 | 2198 | 2359 | 2506 |
| fr | 3.41 | 5.52 | 5.82 | 7.28 | 5.52 | 4.42 | 3.96 | 5.62 | 7.83 |
establishing a core longitudinal wave velocity V shown in figure 2 according to the test datapAnd compressive strength frThe corresponding relationship diagram of (1).
The compressive strength f can be obtained by linear regression of the above datarWith the velocity V of the longitudinal wavepThe linear fitting relation of (1): f. ofr＝0.0102Vp17.950, degree of fit r is 0.939, please refer to fig. 2.
Comprehensively obtaining the longitudinal wave velocity V according to the linear fitting relational expressionpAnd compressive strength frIs predicted by formula fPreparation of＝0.0102*Vp-16。
In the same way, the actually tested core mud content and compressive strength frTake the data of (a):
| content of |
3％ | 4％ | 5％ | 8％ | 17％ | 19％ | 22％ | 27％ | 29％ | 35％ |
| fr | 15.7 | 13.2 | 11.5 | 9.1 | 7.5 | 6.8 | 6.5 | 2.9 | 2.8 | 2.2 |
Based on the above test data, the method is constructed as shown in FIG. 3Core mud content and compressive strength frThe corresponding relationship diagram of (1).
According to the actual law, the compressive strength frInversely proportional to the mud content, according to the mud content and the compressive strength frThe empirical correction coefficient lambda of the mud content is obtained by comparing, screening and correcting the compressive strength of the rock predicted on site and the real compressive strength for a plurality of timesMudThe following values were taken:
0％<the mud content is less than or equal to 5 percent and lambdaMudTaking 1.05-0.95
5％<Mud content less than or equal to 25 percent and lambdaMudTaking 0.95-0.85
25％<The mud content is less than or equal to 50 percent and lambdaMudTaking 0.85-0.75.
Step S8: finally according to the prediction formula f in step S7Preparation ofEstablishing a corrected compressive strength correction formula fRepair the。
In particular, the compressive strength frThe correction formula is as follows:
frepair the＝fPreparation of*(Vs/Vs is all＇)*λMud＝(0.014*Vs-3.5)*(Vs/Vs is all＇)*λMud
Or
fRepair the＝fPreparation of*(Vp/Vp is all＇)*λMud＝(0.0102*Vp-16)*(Vp/Vp is all＇)*λMud
In the formula: vs/VpThe method comprises the steps of (1) surveying the transverse wave velocity/longitudinal wave velocity tested in a certain depth range in a hole; vs is all＇/Vp is all"is the average of the results of the acoustic testing of the core taken in the hole by inspection and sent to the room.
The data show that the compressive strength of the rock has a great relationship with mineral components, particle size, cementation, fracture characteristics and directions, weathering degree and water content. The argillaceous siltstone belongs to weakly cemented rock, is extremely soft rock, and is sensitive to water, humidity, heat and vibration. As the argillaceous siltstone is soaked in water in the drilling machine process, and the influence of water on the pressure resistance is not small, the analysis of the compressive strength by measuring the water content is not significant, and the fracture and cementation conditions can be represented mainly by the longitudinal wave velocity and the transverse wave velocity of the rock, however, the integral condition of the rock is difficult to accurately predict by a single dynamic mechanical parameter, namely the compressive strength is difficult to predict, so that the mud content is introduced, the defect that the real water content cannot be measured is mainly compensated, meanwhile, the size of the mud content can also partially represent the cementation state of the rock, the mud content is high, the fact that the argillaceous cementation is too much is proved, the corresponding compressive strength is low, and otherwise, the mud content is high. Therefore, the compression resistance result of the wave velocity test can be corrected by trying to obtain the mud content, the requirement of engineering application can be basically met, and the actual situation of engineering is well simulated because the argillaceous siltstone also faces the conditions of water bubbles and disintegration in the construction process.
By establishing a related prediction formula and a related correction formula, the invention can predict the compressive strength value of the rock in a certain depth range in the drill hole of the field by testing the wave velocity of longitudinal and transverse waves on site, taking part of samples to make mud content, and taking part of complete core samples to make indoor wave velocity test.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (3)
1. A method for predicting the compressive strength of argillaceous siltstone is characterized by comprising the following steps: the method comprises the following steps:
the method comprises the following steps: after the core in the exploration hole is taken out, the transverse wave velocity V is made at the core position in the hole in timesVelocity V of sum longitudinal wavepTesting, and simultaneously timely sending the taken rock core to a laboratory for indoor rock core sound wave testing, including transverse wave velocity Vs' test and longitudinal wave velocity Vp"testing;
step two: longitudinal wave velocity V for observing rock core in same depth intervalp、VpVelocity of transverse wave Vs、VsIn exploration holes and roomsComparing;
step three: performing a compression test on the core;
step four: carrying out mud content test on the rock core fragments subjected to compression resistance;
step five: analysis of mud content and compressive Strength frSimultaneously analyzing the compressive strength of the core and the wave velocity V of the shear wavesAnd velocity V of longitudinal wavepThe correlation of (c);
step six: respectively making transverse wave velocity V of coresVelocity of longitudinal wave VpMud content and compressive strength frThe corresponding relation graph of (2);
step seven: obtaining predicted basic data by carrying out relevant experiments on exploration holes and rock cores in certain wave velocity ranges and certain mud content ranges in different regions, and respectively calculating the wave velocity V of the transverse wave by combining the corresponding relation diagram in the step sixsAnd compressive strength frAnd/or velocity V of longitudinal wavepAnd compressive strength frLinear fitting relation of (A) and empirical correction coefficient lambda of mud contentMudAccording to the wave velocity V of the transverse wavesAnd compressive strength frAnd/or velocity V of longitudinal wavepAnd compressive strength frThe linear fitting relation of the wave velocity V of the transverse wave corresponding to the argillaceous siltstone is establishedsAnd/or velocity V of longitudinal wavepAnd compressive strength frIs predicted by formula fPreparation of；
In the seventh step, the compressive strength f is adjusted according to the actual rulerInversely proportional to the mud content, according to the mud content and the compressive strength frThe empirical correction coefficient lambda of the mud content is obtained by comparing, screening and correcting the compressive strength of the rock predicted on site and the real compressive strength for a plurality of timesMudThe following values were taken:
0％<the mud content is less than or equal to 5 percent and lambdaMudTaking 1.05-0.95
5％<Mud content less than or equal to 25 percent and lambdaMudTaking 0.95-0.85
25％<The mud content is less than or equal to 50 percent and lambdaMudTaking 0.85-0.75;
step eight: finally, according to the prediction formula f in the step sevenPreparation ofEstablishing a corrected compressive strengthCorrection of the formula fRepair the；
The compressive strength frThe correction formula is as follows:
frepair the＝fPreparation of*(Vs/Vs is all＇)*λMudOr fRepair the＝fPreparation of*(Vp/Vp is all＇)*λMud
In the formula: vs/VpThe method comprises the steps of (1) surveying the transverse wave velocity/longitudinal wave velocity tested in a certain depth range in a hole; vs is all＇/Vp is all"is the average of the results of the acoustic testing of the core taken in the hole by inspection and sent to the room.
2. The method for predicting the compressive strength of the argillaceous siltstone according to claim 1, wherein: and the shear wave velocity test in the step one adopts a single-hole shear test.
3. The method for predicting the compressive strength of the argillaceous siltstone according to claim 1, wherein: in the seventh step, the compressive strength f is adjusted according to the actual rulerWith the velocity V of the longitudinal wavepVelocity V of sum transverse wavesAre proportional to each other, and can be obtained by actual measurement data:
compressive strength frWith the velocity V of the transverse wavesThe linear fitting relation of (1): f. ofr＝aVs+ b, the fitting degree is r, and the transverse wave velocity V is obtained by synthesizing according to the linear fitting relationsAnd compressive strength frIs predicted by formula fPreparation of＝0.014*Vs-3.5；
Compressive strength frWith the velocity V of the longitudinal wavepThe linear fitting relation of (1): f. ofr＝aVp+ b, the fitting degree is r, and the longitudinal wave velocity V is obtained by synthesizing according to the linear fitting relationpAnd compressive strength frIs predicted by formula fPreparation of＝0.0102*Vp-16。
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