CN110361264A - The method for predicting argillaceous siltstoue compression strength - Google Patents
The method for predicting argillaceous siltstoue compression strength Download PDFInfo
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- CN110361264A CN110361264A CN201910693413.5A CN201910693413A CN110361264A CN 110361264 A CN110361264 A CN 110361264A CN 201910693413 A CN201910693413 A CN 201910693413A CN 110361264 A CN110361264 A CN 110361264A
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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 present invention relates to a kind of methods for predicting argillaceous siltstoue compression strength comprising following steps: step 1: being transverse wave speed V in time at the inner cores of hole after the core reconnoitred in hole is taken outsWith longitudinal wave velocity VpTest, while the core taken is sent to laboratory in time and carries out indoor sonic wave detection of core；Step 2: the longitudinal wave velocity V of same depth intervals core is observedp、Vp' and transverse wave speed Vs、Vs' prospecting hole in and indoor comparison；Step 3: compression test is carried out to core；Step 4: clay content test is carried out to the core fragment after resistance to compression；Step 5: analysis clay content and compression strength frCorrelation, while analyze core compression strength and transverse wave speed VsAnd longitudinal wave velocity VpCorrelation；Step 6: the transverse wave speed V of core is made respectivelys, longitudinal wave velocity Vp, clay content and compression strength frCorresponding relationship；Step 7: predictor formula f is establishedIn advance；Step 8: revised compression strength correction formula f is establishedIt repairs。
Description
Technical field
The present invention relates to soil test technique field more particularly to a kind of methods for predicting argillaceous siltstoue compression strength.
Background technique
Currently, the compression strength of rock mainly uses drilling machine to drill in field in soil test, core sample is taken, reality is sent to
Room is tested, compression strength data are obtained using rock pressure machine.Argillaceous siltstoue belongs to ultimate soft rock, compression strength value 0~
20MPa, value interval is little, but rock sample during preservation by water, heat, it is wet, be exposed to the sun that it is very big to be influenced, it may appear that collapse
Solution, broken, transportational process are also happened occasionally by vibration fracture.Therefore sample needs to measure immediately after entering laboratory, gives in this way
Tester brings a lot of trouble, sample is more sometimes, accumulation it is more, test speed not can guarantee, strong influence test
Accuracy.In a sense, the argillaceous siltstoue rock resistance to compression data in laboratory are often not as good as people's will.
In addition to this, the core sample that live drilling machine sampling personnel take usually identify it is unclear, the case where sample mix also not
Rare, severely-weathered, the broken core in part can not sample, and coring degree is frequently depend upon the selection of drilling machine, drilling tool, operator's
Level also has a significant impact to sampling.So to some degree, being difficult accurately to obtain the true resistance to compression of certain section of depth of drilling
Data.It can not sample or bring many deuce to pays to exploratory techniques people the case where sample broke, finally submit to prospecting skill
The data of art personnel or Base foundation design personnel often rely on experience to estimate, this obviously loses science.Especially have
The core of many key components can not usually obtain, sample broke, or shatter, the bad damage of sample packaging in transit, with
And it is partially long in the laboratory holding time after sampling, cause sample disintegration, fragmentation all it is normal only.Therefore it is badly in need of changing this by real
Test the situation that personnel or field technician estimate rock resistance to compression data by rule of thumb, it is ensured that relative quantification, even if accurately counting
According to can not obtain, but than purely by experience it is far better.
Summary of the invention
In view of the deficiencies of the prior art, the present invention provides a kind of method for predicting argillaceous siltstoue compression strength, this method
Data that are more reasonable compared to conventional test methodologies, obtaining are more accurate, need to only be tested at the scene, the sample of demand
It is few.
The technical solution adopted by the present invention to solve the technical problems is: the side of the prediction argillaceous siltstoue compression strength
Method the following steps are included:
Step 1: transverse wave speed V is in time at the inner cores of hole after the core reconnoitred in hole is taken outsWith longitudinal wave velocity Vp
Test, while the core taken is sent to laboratory in time and carries out indoor sonic wave detection of core, including transverse wave speed Vs' test with
Longitudinal wave velocity Vp' test；
Step 2: the longitudinal wave velocity V of same depth intervals core is observedp、Vp' and transverse wave speed Vs、Vs' is in prospecting hole
And indoor comparison；
Step 3: compression test is carried out to core；
Step 4: clay content test is carried out to the core fragment after resistance to compression；
Step 5: analysis clay content and compression strength frCorrelation, while analyzing the compression strength and shear wave of core
Fast VsAnd longitudinal wave velocity VpCorrelation；
Step 6: the transverse wave speed V of core is made respectivelys, longitudinal wave velocity Vp, clay content and compression strength frCorresponding close
System's figure；
Step 7: by within the scope of the certain velocity of wave in different regions, the prospecting hole of certain clay content range and core do phase
The basic data for closing experiment acquisition prediction finds out transverse wave speed V in conjunction with the corresponding relationship of step 6 respectivelysWith compression strength fr
And/or longitudinal wave velocity VpWith compression strength frLinear fit relational expression and clay content experiential modification coefficient lambdaMud, according to cross
Wave velocity of wave VsWith compression strength frAnd/or longitudinal wave velocity VpWith compression strength frLinear fit relation reality and shale flour sand
The corresponding transverse wave speed V of rocksAnd/or longitudinal wave velocity VpWith compression strength frPredictor formula fIn advance；
Step 8: finally according to the predictor formula f in step 7In advanceEstablish revised compression strength correction formula fIt repairs。
In a kind of preferred embodiment of the method for prediction argillaceous siltstoue compression strength provided by the invention, the step
Transverse wave speed test in one is tested using single hole shear.
In a kind of preferred embodiment of the method for prediction argillaceous siltstoue compression strength provided by the invention, the step
In seven, according to practical rule, compression strength frWith longitudinal wave velocity VpWith transverse wave speed VsIt is directly proportional, it can with actual measurement data
It obtains:
Compression strength frWith transverse wave speed VsLinear fit relational expression: fr=aVs+ b, degree of fitting r, according to the line
Property fit correlation formula synthesis obtain transverse wave speed VsWith compression strength frPredictor formula fIn advance=0.014*Vs-3.5；
Compression strength frWith longitudinal wave velocity VpLinear fit relational expression: fr=aVp+ b, degree of fitting r, according to the line
Property fit correlation formula synthesis obtain longitudinal wave velocity VpWith compression strength frPredictor formula fIn advance=0.0102*Vp-16。
In a kind of preferred embodiment of the method for prediction argillaceous siltstoue compression strength provided by the invention, the step
In seven, according to practical rule, compression strength frIt is inversely proportional with clay content, according to clay content and compression strength frCorresponding relationship,
And compared with being carried out repeatedly by prediction rock compression strength on the spot and true compression strength, screen, correct, obtain clay content
Experiential modification coefficient lambdaMudTake following values:
0% < clay content≤5%, λMudTake 1.05~0.95
5% < clay content≤25%, λMudTake 0.95~0.85
25% < clay content≤50%, λMudTake 0.85~0.75.
In a kind of preferred embodiment of the method for prediction argillaceous siltstoue compression strength provided by the invention, the step
In eight, compression strength frCorrection formula is as follows:
fIt repairs=fIn advance*(Vs/VS is equal') * λMud=(0.014*Vs-3.5)*(Vs/VS is equal') * λMudOr
fIt repairs=fIn advance*(Vp/VP is equal') * λMud=(fIn advance=0.0102*Vp-16)*(Vp/VP is equal') * λMud
In formula: Vs/VpFor the transverse wave speed/longitudinal wave velocity tested within the scope of certain depth in prospecting hole hole；VS is equal'/VP is equal'
Core to take in prospecting hole hole is sent to the indoor result average value for doing sonic test.
Compared with prior art, the beneficial effect of the method for prediction argillaceous siltstoue compression strength provided by the invention is:
One, using the method described in the present invention, getting up early needs to measure velocity of wave and intensity test is done in sampling, and pending data is received
Collection finishes, and just estimates place argillaceous siltstoue compressive strength of rock without sampling or taking seldom sample (core) that can reach
Effect, sampling also need to only be tested at the scene, and the sample of demand is few, is also easy to obtain satisfactory sample, section
About manpower and material resources, and the accuracy of result is higher such as will not be disintegrated at the shadow of factors because of sampling, transport or storing process
It rings and is distorted sample, be the scheme for having very big economic benefit, can also provide to engineer application and more rationally, accurately count
According to；
Two, with it is existing obtain compression strength data by the way of sampling+press machine compared with, method of the invention has bright
Aobvious advantage is exactly: most cases do not need to sample, even if sampling, only as the sample of clay content, since clay content exists yet
A small range variation less, does not also require the shape of sample, therefore samples easy；Existing technical solution wants core sample
Seeking Truth needs complete rock, and many severely-weathered can not sample are analyzed, even if calculating uniaxial resist by making point loading
Pressure, it is as a result also usually very unsatisfactory, and the quantity tested, a even 20 up to more than 10, the result of reckoning is usually bigger than normal, base
Instinct reaches the intensity of middle weathering, therefore point load tests are directed to the poor effect of ultimate soft rock, are difficult to meet engineer application requirement.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, needed in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, be described below in do not make the creative labor under the premise of, can also be according to this
A little attached drawings obtain other attached drawings, in which:
Fig. 1 is the core transverse wave speed V established according to test data provided in the embodiment of the present inventionsWith compression strength frPair
Answer relational graph；
Fig. 2 is the core longitudinal wave velocity V established according to test data provided in the embodiment of the present inventionpWith compression strength frPair
Answer relational graph；
Fig. 3 is the core clay content established according to test data provided in the embodiment of the present invention and compression strength frCorresponding close
System's figure.
Specific embodiment
The technical scheme in the embodiments of the invention will be clearly and completely described below, it is clear that described implementation
Example is only a part of the embodiments of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's all other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
It is described prediction argillaceous siltstoue compression strength method the following steps are included:
Step S1: transverse wave speed V is in time at the inner cores of hole after the core reconnoitred in hole is taken outsWith longitudinal wave velocity Vp
It tests, the transverse wave speed test in the present embodiment is tested using single hole shear, while the core taken is sent to laboratory in time
Carry out indoor sonic wave detection of core, including transverse wave speed Vs' test and longitudinal wave velocity Vp' test；
Step S2: the longitudinal wave velocity V of same depth intervals core is observedp、Vp' and transverse wave speed Vs、Vs' is in prospecting hole
And indoor comparison；
Step S3: compression test is carried out to core；
Step S4: clay content test, the compression strength and sample rock of argillaceous siltstoue are carried out to the core fragment after resistance to compression
The clay content of core is closely related, and the especially influence after rock bubble is more obvious, therefore, can be used broken to the core after resistance to compression
Piece carries out clay content test；
Step S5: analysis clay content and compression strength frCorrelation, while analyzing the compression strength and shear wave of core
Fast VsAnd longitudinal wave velocity VpCorrelation；
Step S6: the transverse wave speed V of core is made respectivelys, longitudinal wave velocity Vp, clay content and compression strength frCorresponding close
System's figure；
Step S7: by within the scope of the certain velocity of wave in different regions, the prospecting hole of certain clay content range and core do phase
The basic data for closing experiment acquisition prediction finds out transverse wave speed V in conjunction with the corresponding relationship of step S6 respectivelysWith compression strength fr
And/or longitudinal wave velocity VpWith compression strength frLinear fit relational expression and clay content experiential modification coefficient lambdaMud, according to shear wave
Velocity of wave VsWith compression strength frAnd/or longitudinal wave velocity VpWith compression strength frLinear fit relation reality and argillaceous siltstoue
Corresponding transverse wave speed VsAnd/or longitudinal wave velocity VpWith compression strength frPredictor formula fIn advance；
Specifically, according to practical rule, compression strength frWith longitudinal wave velocity VpWith transverse wave speed VsIt is directly proportional, pressure resistance
Spend frWith transverse wave speed VsLinear fit relational expression: fr=aVs+ b, degree of fitting r, the present embodiment is with the rock of actual test
Core transverse wave speed VsWith compression strength frData instance:
| 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 |
Core transverse wave speed V as shown in Figure 1 is established according to above-mentioned test datasWith compression strength frCorresponding relationship.
Compression strength f can be obtained according to the linear regression of above-mentioned datarWith transverse wave speed VsLinear fit relational expression: fr
=0.0144Vs- 3.2338, degree of fitting r=0.907.
Transverse wave speed V is obtained according to linear fit relational expression synthesissWith compression strength frPredictor formula fIn advance=0.014*
Vs-3.5。
Similarly, compression strength frWith longitudinal wave velocity VpLinear fit relational expression: fr=aVp+ b, degree of fitting r, this reality
Example is applied with the core longitudinal wave velocity V of actual testpWith compression strength frData instance:
| 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 |
Core longitudinal wave velocity V as shown in Figure 2 is established according to above-mentioned test datapWith compression strength frCorresponding relationship.
Compression strength f can be obtained according to the linear regression of above-mentioned datarWith longitudinal wave velocity VpLinear fit relational expression: fr
=0.0102Vp- 17.950, degree of fitting r=0.939.
Longitudinal wave velocity V is obtained according to linear fit relational expression synthesispWith compression strength frPredictor formula fIn advance=
0.0102*Vp-16。
Similarly, the core clay content of actual test and compression strength frData instance:
| Clay content | 3% | 3% | 3% | 3% | 3% | 3% | 3% | 3% | 3% | 3% |
| fr | 15.7 | 13.2 | 11.5 | 9.1 | 7.5 | 6.8 | 6.5 | 2.9 | 2.8 | 2.2 |
Core clay content and compression strength f as shown in Figure 3 are established according to above-mentioned test datarCorresponding relationship.
According to practical rule, compression strength frIt is inversely proportional with clay content, according to clay content and compression strength frCorresponding relationship
Figure, and by the progress repeatedly of prediction rock compression strength on the spot and true compression strength compared with, screen, correct, obtain containing mud
The experiential modification coefficient lambda of amountMudTake following values:
0% < clay content≤5%, λMudTake 1.05~0.95
5% < clay content≤25%, λMudTake 0.95~0.85
25% < clay content≤50%, λMudTake 0.85~0.75.
Step S8: finally according to the predictor formula f in step S7In advanceEstablish revised compression strength correction formula fIt repairs。
Specifically, compression strength frCorrection formula is as follows:
fIt repairs=fIn advance*(Vs/VS is equal') * λMud=(0.014*Vs-3.5)*(Vs/VS is equal') * λMudOr
fIt repairs=fIn advance*(Vp/VP is equal') * λMud=(fIn advance=0.0102*Vp-16)*(Vp/VP is equal') * λMud
In formula: Vs/VpFor the transverse wave speed/longitudinal wave velocity tested within the scope of certain depth in prospecting hole hole；VS is equal'/VP is equal'
Core to take in prospecting hole hole is sent to the indoor result average value for doing sonic test.
Data display compressive strength of rock and mineralogical composition, granular size, cementing, crack characteristic and direction, rate of decay,
Water status has much relations.Argillaceous siltstoue belongs to weak cemented rock, and ultimate soft rock is all very sensitive to water, humidity, heat, vibration.
Since argillaceous siltstoue is soaked during drilling machine, and water is not also small on compression strength influence, therefore, aqueous by measuring
Rate, which seems analyzing compression strength, to have little significance, and can characterize crack, cementing situation mainly rock P-wave And S velocity of wave,
However single power mechanics parameter is difficult accurately to estimate the overall condition of rock, that is to say, compression strength is not easy to predict, by
This introduces one saying of clay content, mainly makes up because of the unmeasured defect of true moisture content, while the size of clay content
Can be with the cementing status of characterizing part rock, clay content is high, it was demonstrated that argillaceous agglutination is on the high side, and corresponding compression strength is low, on the contrary then high.
Therefore, it can attempt to be corrected by clay content with the resistance to compression of wave velocity testing as a result, be substantially able to satisfy the requirement of engineer application,
Because argillaceous siltstoue also faces the case where bubble, disintegration in the construction process, engineering real current situation is simulated well.
The present invention is by establishing relevant predictor formula and correction formula, so that it may by on-the-spot test longitudinal and shear wave velocity of wave and
Part sample is taken to do clay content, partially complete core sample does indoor wave velocity testing, can predict that the place drills by two amendments
Compressive strength of rock value in interior a certain depth bounds.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright description is applied directly or indirectly in other relevant technology necks
Domain similarly includes within scope of patent protection of the invention.
Claims (5)
1. a kind of method for predicting argillaceous siltstoue compression strength, it is characterised in that: the following steps are included:
Step 1: transverse wave speed V is in time at the inner cores of hole after the core reconnoitred in hole is taken outsWith longitudinal wave velocity VpTest,
Simultaneously the core taken is sent to laboratory in time and carries out indoor sonic wave detection of core, including transverse wave speed Vs' test and longitudinal wave
Velocity of wave Vp' test；
Step 2: the longitudinal wave velocity V of same depth intervals core is observedp、Vp' and transverse wave speed Vs、Vs' is in prospecting hole and indoor
Comparison；
Step 3: compression test is carried out to core；
Step 4: clay content test is carried out to the core fragment after resistance to compression；
Step 5: analysis clay content and compression strength frCorrelation, while analyze core compression strength and transverse wave speed VsAnd
Longitudinal wave velocity VpCorrelation；
Step 6: the transverse wave speed V of core is made respectivelys, longitudinal wave velocity Vp, clay content and compression strength frCorresponding relationship；
Step 7: by within the scope of the certain velocity of wave in different regions, the prospecting hole of certain clay content range and core do it is related real
It tests the basic data for obtaining and predicting and finds out transverse wave speed V respectively in conjunction with the corresponding relationship of step 6sWith compression strength frWith/
Or longitudinal wave velocity VpWith compression strength frLinear fit relational expression and clay content experiential modification coefficient lambdaMud, according to shear wave
Fast VsWith compression strength frAnd/or longitudinal wave velocity VpWith compression strength frLinear fit relation reality and argillaceous siltstoue pair
The transverse wave speed V answeredsAnd/or longitudinal wave velocity VpWith compression strength frPredictor formula fIn advance；
Step 8: finally according to the predictor formula f in step 7In advanceEstablish revised compression strength correction formula fIt repairs。
2. the method for prediction argillaceous siltstoue compression strength according to claim 1, it is characterised in that: in the step 1
Transverse wave speed test using single hole shear test.
3. the method for prediction argillaceous siltstoue compression strength according to claim 1, it is characterised in that: the step 7
In, according to practical rule, compression strength frWith longitudinal wave velocity VpWith transverse wave speed VsIt is directly proportional, it can be obtained with actual measurement data
Out:
Compression strength frWith transverse wave speed VsLinear fit relational expression: fr=aVs+ b, degree of fitting r, according to the linear fit
Relational expression synthesis obtains transverse wave speed VsWith compression strength frPredictor formula fIn advance=0.014*Vs-3.5；
Compression strength frWith longitudinal wave velocity VpLinear fit relational expression: fr=aVp+ b, degree of fitting r, according to the linear fit
Relational expression synthesis obtains longitudinal wave velocity VpWith compression strength frPredictor formula fIn advance=0.0102*Vp-16。
4. the method for prediction argillaceous siltstoue compression strength according to claim 1, it is characterised in that: the step 7
In, according to practical rule, compression strength frIt is inversely proportional with clay content, according to clay content and compression strength frCorresponding relationship, with
And compared with being carried out repeatedly by prediction rock compression strength on the spot and true compression strength, screen, correct, obtain the warp of clay content
Running repair positive coefficient λMudTake following values:
0% < clay content≤5%, λMudTake 1.05~0.95
5% < clay content≤25%, λMudTake 0.95~0.85
25% < clay content≤50%, λMudTake 0.85~0.75.
5. the method for prediction argillaceous siltstoue compression strength according to claim 1, it is characterised in that: the step 8
In, compression strength frCorrection formula is as follows:
fIt repairs=fIn advance*(Vs/VS is equal') * λMud=(0.014*Vs-3.5)*(Vs/VS is equal') * λMudOr
fIt repairs=fIn advance*(Vp/VP is equal') * λMud=(fIn advance=0.0102*Vp-16)*(Vp/VP is equal') * λMud
In formula: Vs/VpFor the transverse wave speed/longitudinal wave velocity tested within the scope of certain depth in prospecting hole hole；VS is equal'/VP is equal' is prospecting
The core taken in the hole of hole is sent to the indoor result average value for doing sonic test.
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| CN112697572A (en) * | 2020-12-18 | 2021-04-23 | 浙江华东工程咨询有限公司 | Indoor test method suitable for argillaceous siltstone crushing |
| CN112924331A (en) * | 2021-01-12 | 2021-06-08 | 江苏师范大学 | Method for establishing water-rock coupling model of compressive strength of coal rock after water solution soaking |
| CN114609363A (en) * | 2022-01-24 | 2022-06-10 | 中国地质调查局成都地质调查中心（西南地质科技创新中心） | Multifunctional soft rock disintegration measuring device and testing method |
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| CN112697572A (en) * | 2020-12-18 | 2021-04-23 | 浙江华东工程咨询有限公司 | Indoor test method suitable for argillaceous siltstone crushing |
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| CN114609363A (en) * | 2022-01-24 | 2022-06-10 | 中国地质调查局成都地质调查中心（西南地质科技创新中心） | Multifunctional soft rock disintegration measuring device and testing method |
| CN114609363B (en) * | 2022-01-24 | 2023-11-24 | 中国地质调查局成都地质调查中心（西南地质科技创新中心） | Multifunctional soft rock disintegration measuring device and testing method |
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