CN113155612A - Deformation prediction method for microfiber mixed silica sol solidified calcareous sand - Google Patents

Deformation prediction method for microfiber mixed silica sol solidified calcareous sand Download PDF

Info

Publication number
CN113155612A
CN113155612A CN202110413264.XA CN202110413264A CN113155612A CN 113155612 A CN113155612 A CN 113155612A CN 202110413264 A CN202110413264 A CN 202110413264A CN 113155612 A CN113155612 A CN 113155612A
Authority
CN
China
Prior art keywords
epsilon
strain
stress
time
silica sol
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.)
Granted
Application number
CN202110413264.XA
Other languages
Chinese (zh)
Other versions
CN113155612B (en
Inventor
金炜枫
马永航
陶颖
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang Lover Health Science and Technology Development Co Ltd
Original Assignee
Zhejiang Lover Health Science and Technology Development Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang Lover Health Science and Technology Development Co Ltd filed Critical Zhejiang Lover Health Science and Technology Development Co Ltd
Priority to CN202110413264.XA priority Critical patent/CN113155612B/en
Publication of CN113155612A publication Critical patent/CN113155612A/en
Application granted granted Critical
Publication of CN113155612B publication Critical patent/CN113155612B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/24Investigating strength properties of solid materials by application of mechanical stress by applying steady shearing forces

Landscapes

  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)

Abstract

The invention relates to a deformation forecasting method for microfiber mixed silica sol solidified calcareous sand, which is used for more accurately forecasting volume deformation and volume deformation rate in a stress process of a silica gel-microfiber-sand complex formed after microfiber mixed silica sol seepage solidified calcareous sand.

Description

Deformation prediction method for microfiber mixed silica sol solidified calcareous sand
Technical Field
The invention belongs to the field of geotechnical engineering research, and particularly relates to a deformation forecasting method for microfiber mixed silica sol solidified calcareous sand.
Background
The silica sol is formed by suspending nano-scale silica particles in water, has viscosity similar to that of water, and is quickly infiltrated through sandy soil, and then the silica particles are gathered into silica gel with a three-dimensional network structure, so that a solidified soil body is cemented. However, a large number of micro-cracks exist in the silica gel, so that the micro-fibers are mixed in the silica sol, then the silica sol seeps through a soil body to form a silica gel-micro-fiber-sand complex, and the micro-fibers can inhibit the micro-cracks of the silica gel from expanding, so that the strength of the sand solidified by the seepage of the silica sol is improved.
However, after the microfibril mixed silica sol is used for curing the calcareous sand, when a cured soil body deforms under the stress, the deformation of the cured soil body is influenced by the crushing of the calcareous sand, the cementation failure of the silica gel and the reinforcing of the microfibril, and a large error exists in the prediction of the deformation of the silica gel-microfibril-sand complex by using a conventional method, so that a method is lacked, and the volume deformation rate of the silica gel-microfibril-sand complex formed after the microfibril mixed silica sol is percolated and cured the calcareous sand can be accurately predicted in the stress process.
Disclosure of Invention
The invention provides a deformation forecasting method for microfiber mixed silica sol solidified calcareous sand, which aims to accurately forecast volume deformation and volume deformation rate of a silica gel-microfiber-sand complex formed after microfiber mixed silica sol seepage solidified calcareous sand in a stress process.
The invention relates to some abbreviations and symbols, the following are notes:
σ1': vertical stress to which the aggregate of particles is subjected;
σ′2and σ3': horizontal stress, σ ', to which the aggregate of particles is subjected'2And σ3The direction of' is vertical;
ε1、ε2and ε3: strain and respectively stress sigma1、σ2And σ3The directions are the same;
p': the average effective stress of the steel is measured,
Figure BDA0003024795260000021
q: the shear stress q is set to a value of,
Figure BDA0003024795260000022
eta: the stress ratio eta is such that,
Figure BDA0003024795260000023
ηcritical: critical stress ratio η;
ηpeak: peak stress ratio η;
εv: bulk strain, epsilonv=ε123
εs: the shear strain is generated by the shear strain,
Figure BDA0003024795260000024
t0,t1,t2,…,ti,…,tn: the recorded starting time in the loading process is t0The time recorded later is t from small to large1,t2,…,ti,…,tnWhere i is more than or equal to 1 and less than or equal to n, and n +1 is the number of recorded time points;
v)i: t thiBody strain epsilon corresponding to timev
s)i: t thiShear strain epsilon corresponding to times
(△εv)i: increase in bulk strain, (. DELTA.. epsilon.)v)i=(εv)i-(εv)i-1
(△εs)i: increase in shear strain, (. DELTA.. epsilon.)s)i=(εs)i-(εs)i-1
ηi:tiStress ratio eta at time (i is more than or equal to 1 and less than or equal to n)i
f(εs):f(εs) Is shear strain epsilonsA function of (a);
B1、C1、C2and C3:B1、C1、C2And C3Is the parameter of the model and is,
Figure BDA0003024795260000031
α: a material coefficient;
k: a material coefficient;
e0: an initial void ratio;
ec: a critical void ratio;
e:tiat the moment (i is more than or equal to 1 and less than or equal to n), the porosity ratio is increased;
kappa: a coefficient of restitution;
m: material parameter equal to critical stress ratio etacritical
m: and (4) material parameters.
The technical scheme of the invention is as follows: a deformation forecasting method for microfiber mixed silica sol solidified calcareous sand specifically comprises the following steps:
step 1: setting the vertical stress of a silica gel-microfiber-sand complex formed after the microfiber and silica sol are mixed to infiltrate and solidify calcareous sand1'the stress on the horizontal plane is respectively sigma'2And σ3', wherein σ'2And σ3The direction of ` is perpendicular, the strain of the particle assembly is ε1、ε2And ε3In which strain epsilon1、ε2And ε3Respectively in the direction of the stress sigma1′、σ′2And σ3The directions are the same; defining average effective stress p', shear stress q, stress ratio eta, and bulk strain epsilonvAnd shear strain epsilons
Figure BDA0003024795260000032
Figure BDA0003024795260000033
Figure BDA0003024795260000034
εv=ε123 (4)
Figure BDA0003024795260000041
Step 2: let the start time recorded during loading be t0The time recorded later is t from small to large1,t2,…,ti,…,tnWhere 1 ≦ i ≦ n, n +1 is the number of recorded time points, let tiBody strain epsilon corresponding to timevIs (epsilon)v)iLet a tiShear strain epsilon corresponding to timesIs (epsilon)s)iLet the shear strain increment (Delta epsilon) generated by two adjacent time differencess)iEqual, define the bulk strain increment ([ Delta ] [ epsilon ]v)iAnd increase in shear strain (DELTA ε)s)i
(△εv)i=(εv)i-(εv)i-1 (6)
(△εs)i=(εs)i-(εs)i-1 (7)
Where the strain (epsilon) is cut at every moments)iAnd increase in shear strain (DELTA ε)s)iIs a known set value;
and step 3: calculating tiThe volume strain increment (delta epsilon) at the moment (i is more than or equal to 1 and less than or equal to n)v)i
(△εv)i=f(εs)·(△εs)i (8)
In formula (8), f (. epsilon.)s) Is shear strain epsilonsIs taken as a function of
Figure BDA0003024795260000042
Wherein, B1、C1、C2、C3Is a model parameter, B1Control curve f (. epsilon.)s) Width in horizontal direction, C1Control curve
Figure BDA0003024795260000043
Peak value, C2Correspond to
Figure BDA0003024795260000044
Shear strain at peak, C3Is approximately equal to
Figure BDA0003024795260000045
A minimum value;
and 4, step 4: calculating tiTime of day(1. ltoreq. i. ltoreq. n) bulk strain (. epsilon.)v)iAnd the void ratio e:
v)i=(εv)i-1+(△εv)i (9)
e=e0-(1+e0)(εv)i (10)
and 5: calculating tiStress ratio eta at time (i is more than or equal to 1 and less than or equal to n)i
The stress ratio eta is calculated by the following formula:
Figure BDA0003024795260000051
in the above formula, α and K are material coefficients, ηpeakPeak stress ratio η; in the formula (11), eta is tiStress ratio eta at time (i is more than or equal to 1 and less than or equal to n)i,εsGet tiMoment shear strain (epsilon)s)i
In step 5, formula (11), take
Figure BDA0003024795260000052
Wherein e0For initial void ratio, κ is the coefficient of restitution, and equation (11) is written as:
Figure BDA0003024795260000053
in formula (12), is
Figure BDA0003024795260000054
Wherein ecIs the critical void ratio, e is tiAt the moment (i is more than or equal to 1 and less than or equal to n), the porosity ratio, M is a material parameter and is equal to the critical stress ratio etacriticalM is a material parameter, wherein the critical state refers to a stable state after the stress ratio eta passes a peak value in a change curve along with the shear strain and a stable state after the body strain passes the peak value in the change curve along with the shear strain, and if the body strain is not stable after passing the peak value in the change curve along with the shear strain, the critical stress ratio eta is recorded at the last moment of loadingcriticalAnd critical void ratio ec(ii) a Get
Figure BDA0003024795260000055
Then, equation (12) is written as:
Figure BDA0003024795260000056
step 6: repeating the steps 3 to 5 until each t is calculatediVolume strain (epsilon) corresponding to time (i is more than or equal to 1 and less than or equal to n)v)iStress ratio etai
In the calculation steps 1-6, the stress ratio eta is calculated and obtained when the stress is horizontal to the effective stress sigma'2And σ3Constant and equal, the effective vertical stress σ is obtained1', and mean effective and shear stresses:
Figure BDA0003024795260000061
Figure BDA0003024795260000062
in the above calculation steps 1 to 6, when the strain ε is measured in the horizontal direction2And ε3When the two strains are equal, the vertical strain epsilon can be obtained1And strain in horizontal direction epsilon3
Figure BDA0003024795260000063
The invention has the beneficial effects that: the volume deformation and the volume deformation rate in the stress process of the silica gel-microfiber-sand complex formed by seepage and solidification of the calcareous sand by the microfiber-mixed silica sol are more accurately forecasted, namely the body strain epsilon is more accurately forecastedvVariation with load, and volume deformation ratio
Figure BDA0003024795260000064
As a function of loading.
Drawings
FIG. 1 is a schematic diagram of a silica gel-microfiber-sand composite formed after infiltration of a microfiber mixed silica sol to solidify calcareous sand, and subjected to vertical and horizontal stresses;
FIG. 2 is a graph showing the variation of stress ratio and bulk strain with shear strain;
FIG. 3 is a graph of the ratio of bulk strain delta to shear strain delta as a function of stress ratio;
1. and (3) carrying out seepage curing on the calcium sand by mixing the microfibers with the silica sol to form a silica gel-microfiber-sand complex.
Detailed Description
In order to make the technical means, innovative features, objectives and effects of the present invention apparent, the present invention will be further described with reference to the following detailed drawings.
The invention relates to some abbreviations and symbols, the following are notes:
σ1': vertical stress to which the aggregate of particles is subjected
σ′2And σ3': horizontal stress, σ ', to which the aggregate of particles is subjected'2And σ3Direction of ` perpendicular ∈1、ε2And ε3: strain and respectively stress sigma1、σ2And σ3Same direction
p': the average effective stress of the steel is measured,
Figure BDA0003024795260000071
q: the shear stress q is set to a value of,
Figure BDA0003024795260000072
eta: the stress ratio eta is such that,
Figure BDA0003024795260000073
ηcritical: critical stress ratio eta
ηpeak: is the peak stress ratio eta
εv: bulk strain, epsilonv=ε123
εs: the shear strain is generated by the shear strain,
Figure BDA0003024795260000074
t0,t1,t2,…,ti,…,tn: the recorded starting time in the loading process is t0The time recorded later is t from small to large1,t2,…,ti,…,tnWhere 1 ≦ i ≦ n, n +1 is the number of recorded time points
v)i: t thiBody strain epsilon corresponding to timev
s)i: t thiShear strain epsilon corresponding to times
(△εv)i: increase in bulk strain, (. DELTA.. epsilon.)v)i=(εv)i-(εv)i-1
(△εs)i: increase in shear strain, (. DELTA.. epsilon.)s)i=(εs)i-(εs)i-1
ηi:tiStress ratio eta at time (i is more than or equal to 1 and less than or equal to n)i
f(εs):f(εs) Is shear strain epsilonsFunction of (2)
B1、C1、C2And C3:B1、C1、C2And C3Is the parameter of the model and is,
Figure BDA0003024795260000081
α: coefficient of material
K: coefficient of material
e0: initial void ratio
ec: critical void ratio
e:tiThe porosity ratio at the time (i is more than or equal to 1 and less than or equal to n)
Kappa: coefficient of restitution
M: material parameter equal to critical stress ratio etacritical
m: parameters of the material
The technical scheme of the invention is as follows: a deformation forecasting method for microfiber mixed silica sol solidified calcareous sand specifically comprises the following steps:
step 1: as shown in figure 1, after mixing, the silica sol and the silicon carbide nanowires seep through calcareous sand to form a silica gel-microfiber-sand complex 1, and the vertical stress is set to be sigma1'the stress on the horizontal plane is respectively sigma'2And σ3', wherein σ'2And σ3The direction of ` is perpendicular, the strain of the particle assembly is ε1、ε2And ε3In which strain epsilon1、ε2And ε3Respectively in the direction of the stress sigma1′、σ′2And σ3The directions are the same; defining average effective stress p', shear stress q, stress ratio eta, and bulk strain epsilonvAnd shear strain epsilons
Figure BDA0003024795260000082
Figure BDA0003024795260000083
Figure BDA0003024795260000084
εv=ε123 (4)
Figure BDA0003024795260000091
In this series of testsIn the method, the vertical loading mode is strain loading, namely the horizontal displacement is a constant, the test is a drainage consolidation triaxial test, and the horizontal effective stress sigma 'is'2And σ3' constant and equal, and σ3' As confining pressure, confining pressure is set to 100kPa,200kPa and 600kPa, respectively, and horizontal strain epsilon is2And ε3Equal, there are the following 3 relations:
Figure BDA0003024795260000092
Figure BDA0003024795260000093
Figure BDA0003024795260000094
step 2: let the start time recorded during loading be t0The time recorded later is t from small to large1,t2,…,ti,…,tnWhere 1 ≦ i ≦ n, n +1 is the number of recorded time points, let tiBody strain epsilon corresponding to timevIs (epsilon)v)iLet a tiShear strain epsilon corresponding to timesIs (epsilon)s)iLet the shear strain increment (Delta epsilon) generated by two adjacent time differencess)iEqual, define the bulk strain increment ([ Delta ] [ epsilon ]v)iAnd increase in shear strain (DELTA ε)s)i
(△εv)i=(εv)i-(εv)i-1 (6)
(△εs)i=(εs)i-(εs)i-1 (7)
Where the strain (epsilon) is cut at every moments)iAnd increase in shear strain (DELTA ε)s)iIs a known set value;
and step 3: calculating tiThe volume strain increment (delta epsilon) at the moment (i is more than or equal to 1 and less than or equal to n)v)i
(△εv)i=f(εs)·(△εs)i (8)
In formula (8), f (. epsilon.)s) Is shear strain epsilonsIs taken as a function of
Figure BDA0003024795260000101
Wherein B is1、C1、C2、C3Is a model parameter, B1Control curve f (. epsilon.)s) Width in horizontal direction, C1Control curve
Figure BDA0003024795260000102
Peak value, C2Correspond to
Figure BDA0003024795260000103
Shear strain at peak, C3Is approximately equal to
Figure BDA0003024795260000104
A minimum value;
and 4, step 4: calculating tiTime (i is more than or equal to 1 and less than or equal to n) volume strain (epsilon)v)iAnd the void ratio e:
v)i=(εv)i-1+(△εv)i (9)
e=e0-(1+e0)(εv)i (10)
and 5: calculating tiStress ratio eta at time (i is more than or equal to 1 and less than or equal to n)i
The stress ratio eta is calculated by the following formula:
Figure BDA0003024795260000105
in the above formula, α and K are material coefficients, ηpeakPeak stress ratio η; in the formula (11), eta is tiStress ratio eta at time (i is more than or equal to 1 and less than or equal to n)i,εsGet tiMoment shear strain (epsilon)s)i
In step 5, formula (11), take
Figure BDA0003024795260000106
Wherein e0For initial void ratio, κ is the coefficient of restitution, and equation (11) is written as:
Figure BDA0003024795260000107
in formula (12), is
Figure BDA0003024795260000108
Wherein ecIs the critical void ratio, e is tiAt the moment (i is more than or equal to 1 and less than or equal to n), the porosity ratio, M is a material parameter and is equal to the critical stress ratio etacriticalM is a material parameter, wherein the critical state refers to a stable state after the stress ratio eta passes a peak value in a change curve along with the shear strain and a stable state after the body strain passes the peak value in the change curve along with the shear strain, and if the body strain is not stable after passing the peak value in the change curve along with the shear strain, the critical stress ratio eta is recorded at the last moment of loadingcriticalAnd critical void ratio ec(ii) a Get
Figure BDA0003024795260000111
Then, equation (12) is written as:
Figure BDA0003024795260000112
step 6: repeating the steps 3 to 5 until each t is calculatediVolume strain (epsilon) corresponding to time (i is more than or equal to 1 and less than or equal to n)v)iStress ratio etai
The control test sample is a series of silica gel-microfiber-sand composites 1 formed by mixing silica sol with a concentration of 20%, microfibril with a concentration of 0.01% and silicon carbide nanowires, and then infiltrating the mixture through calcareous sandIn the test, the vertical loading mode is strain loading, namely the horizontal displacement is a constant, the test is a drainage consolidation triaxial test, and the horizontal effective stress sigma 'is'2And σ3' constant and equal, and σ3' is a confining pressure set to 100kPa,200kPa and 600kPa, respectively.
As shown in FIG. 2, the upper part a shows that the curve of the stress ratio with shear strain and the curve of the body strain with shear strain at the ambient pressure of 100kPa,200kPa and 600kPa predicted by the method given herein can be seen to be well matched with the actual test curve; while the lower b part shows the conventional ratio of the increase in bulk strain to the increase in shear strain (Deltaε)v)i=(M-η)·(△εs)iThe calculation of the obtained curve and other parts is the same as the method proposed here, and it can be seen that the error of the predicted body strain curve displayed in part b is larger, especially the error is very obvious when the shear strain is from 0-5%.
As shown in FIG. 3, the upper part a shows the curve of the ratio of the increment of body strain to the increment of shear strain at the ambient pressure of 100kPa,200kPa and 600kPa predicted by the method given herein as a function of the stress ratio, which shows the rate of volume deformation
Figure BDA0003024795260000121
Along with the change of loading, the forecast curve conforms to the same trend as the actual test curve, namely, the forecast curve rises to the peak value at the beginning, then falls and has a hook back to the left; while the lower b part shows the conventional ratio of the increase in bulk strain to the increase in shear strain (Deltaε)v)i=(M-η)·(△εs)iThe resulting curves, and the other parts calculated as described herein, are the same, and it can be seen that the predicted volumetric deformation ratios shown in part b
Figure BDA0003024795260000122
The curve changing along with the loading does not accord with the actual test, the forecast is only a straight line, and the initial section in the actual test does not rise and the final hook returns leftwards.

Claims (5)

1. A deformation forecasting method for microfiber mixed silica sol solidified calcareous sand is characterized by comprising the following steps:
which comprises the following steps:
step 1: let us assume that the vertical stress is σ 'for a silica gel-microfiber-sand composite body formed by seepage-curing calcareous sand with microfiber-mixed silica sol'1In the horizontal plane, the stress is σ'2And σ'3Wherein σ'2And σ'3Is perpendicular to the direction of the particle assembly and the strain of the particle assembly is epsilon1、ε2And ε3In which strain epsilon1、ε2And ε3Is respectively equal to the stress sigma'1、σ′2And σ'3The directions are the same; defining average effective stress p', shear stress q, stress ratio eta, and bulk strain epsilonvAnd shear strain epsilons
Figure FDA0003024795250000011
Figure FDA0003024795250000012
Figure FDA0003024795250000013
εv=ε123 (4)
Figure FDA0003024795250000014
Step 2: let the start time recorded during loading be t0The time recorded later is t from small to large1,t2,…,ti,…,tnWhere 1 ≦ i ≦ n, n +1 is the number of recorded time points, let tiTime of dayCorresponding body strain epsilonvIs (epsilon)v)iLet a tiShear strain epsilon corresponding to timesIs (epsilon)s)iLet the shear strain increment (Delta epsilon) generated by two adjacent time differencess)iEqual, define the bulk strain increment ([ Delta ] [ epsilon ]v)iAnd increase in shear strain (DELTA ε)s)i
(△εv)i=(εv)i-(εv)i-1 (6)
(△εs)i=(εs)i-(εs)i-1 (7)
Where the strain (epsilon) is cut at every moments)iAnd increase in shear strain (DELTA ε)s)iIs a known set value;
and step 3: calculating tiTime-volume strain increase (Delta epsilon)v)i
(△εv)i=f(εs)·(△εs)i (8)
And 4, step 4: calculating tiTime volume strain (epsilon)v)iAnd the void ratio e:
v)i=(εv)i-1+(△εv)i (9)
e=e0-(1+e0)(εv)i (10)
and 5: calculating tiMoment to moment stress ratio etai
The stress ratio eta is calculated by the following formula:
Figure FDA0003024795250000021
in the above formula, α and K are material coefficients, ηpeakPeak stress ratio η; in the formula (11), eta is tiMoment to moment stress ratio etai,εsGet tiMoment shear strain (epsilon)s)i
Step 6: repetition ofStep 3-step 5, until each t is calculatediTime-corresponding body strain (epsilon)v)iStress ratio etai
2. The method for forecasting the deformation of the microfiber mixed silica sol solidified calcareous sand according to claim 1, wherein the method comprises the following steps: in step 3, in formula (8), f (. epsilon.)s) Is shear strain epsilonsIs taken as a function of
Figure FDA0003024795250000022
Wherein B is1、C1、C2、C3Are the model parameters.
3. The method for forecasting the deformation of the microfiber mixed silica sol solidified calcareous sand according to claim 2, wherein the method comprises the following steps: b is1Control curve f (. epsilon.)s) Width in horizontal direction, C1Control curve
Figure FDA0003024795250000023
Peak value, C2Correspond to
Figure FDA0003024795250000024
Shear strain at peak, C3Is approximately equal to
Figure FDA0003024795250000025
A minimum value.
4. The method for forecasting the deformation of the microfiber mixed silica sol solidified calcareous sand according to claim 1, wherein the method comprises the following steps: in step 5, formula (11), take
Figure FDA0003024795250000031
Wherein e0For initial void ratio, κ is the coefficient of restitution, and equation (11) is written as:
Figure FDA0003024795250000032
5. the method for forecasting the deformation of the microfiber mixed silica sol solidified calcareous sand according to claim 4, wherein the method comprises the following steps: in formula (12), is
Figure FDA0003024795250000033
Wherein ecIs the critical void ratio, e is tiThe time-to-time porosity ratio, M is a material parameter and is equal to the critical stress ratio etacriticalM is a material parameter, taking
Figure FDA0003024795250000034
Then, equation (12) is written as:
Figure FDA0003024795250000035
CN202110413264.XA 2021-04-16 2021-04-16 Deformation prediction method for microfiber mixed silica sol solidified calcareous sand Active CN113155612B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110413264.XA CN113155612B (en) 2021-04-16 2021-04-16 Deformation prediction method for microfiber mixed silica sol solidified calcareous sand

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110413264.XA CN113155612B (en) 2021-04-16 2021-04-16 Deformation prediction method for microfiber mixed silica sol solidified calcareous sand

Publications (2)

Publication Number Publication Date
CN113155612A true CN113155612A (en) 2021-07-23
CN113155612B CN113155612B (en) 2022-09-30

Family

ID=76868424

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110413264.XA Active CN113155612B (en) 2021-04-16 2021-04-16 Deformation prediction method for microfiber mixed silica sol solidified calcareous sand

Country Status (1)

Country Link
CN (1) CN113155612B (en)

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100071309A1 (en) * 2008-05-01 2010-03-25 Brangan Charles D Soil stabilization system, stabilized soil comprising same, and a method of stabilizing soil
CN101779204A (en) * 2007-08-17 2010-07-14 宝洁公司 Generalized constitutive modeling method and system
CN103528897A (en) * 2013-10-17 2014-01-22 三峡大学 Method for determining critical state parameter in data of large scale triaxial test on coarse-grained soil under high ambient pressure
US20150057988A1 (en) * 2013-08-26 2015-02-26 The University Of Akron Method for Identifying Stochastic Information of Heterogeneous Materials
CN106814017A (en) * 2017-01-18 2017-06-09 浙江科技学院(浙江中德科技促进中心) Nano sol reinforces the permeability and modulus at rapid deformation relation test device and method of sand
CN109115167A (en) * 2018-09-11 2019-01-01 天津城建大学 Three dimensional strain state testing device and method based on right-angle tetrahedron angular strain
CN109469039A (en) * 2018-11-12 2019-03-15 浙江科技学院 The method that Nano silica sol rapid osmotic reinforces sand under microfibre humidification
CN111046608A (en) * 2019-12-19 2020-04-21 东南大学 Modeling method of basalt fiber asphalt cement finite element model
CN111062162A (en) * 2019-12-12 2020-04-24 王靖涛 Numerical modeling and application method of accurate constitutive model of geotechnical material
CN111368481A (en) * 2020-03-29 2020-07-03 中国石油天然气集团有限公司 Method for analyzing stability of directional perforation
CN111783332A (en) * 2020-06-12 2020-10-16 广西大学 Finite element simulation method for vibration accumulation deformation of material with characteristics of compression hardness nonlinear change and shear shrinkage sudden change

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101779204A (en) * 2007-08-17 2010-07-14 宝洁公司 Generalized constitutive modeling method and system
US20100071309A1 (en) * 2008-05-01 2010-03-25 Brangan Charles D Soil stabilization system, stabilized soil comprising same, and a method of stabilizing soil
US20150057988A1 (en) * 2013-08-26 2015-02-26 The University Of Akron Method for Identifying Stochastic Information of Heterogeneous Materials
CN103528897A (en) * 2013-10-17 2014-01-22 三峡大学 Method for determining critical state parameter in data of large scale triaxial test on coarse-grained soil under high ambient pressure
CN106814017A (en) * 2017-01-18 2017-06-09 浙江科技学院(浙江中德科技促进中心) Nano sol reinforces the permeability and modulus at rapid deformation relation test device and method of sand
CN109115167A (en) * 2018-09-11 2019-01-01 天津城建大学 Three dimensional strain state testing device and method based on right-angle tetrahedron angular strain
CN109469039A (en) * 2018-11-12 2019-03-15 浙江科技学院 The method that Nano silica sol rapid osmotic reinforces sand under microfibre humidification
CN111062162A (en) * 2019-12-12 2020-04-24 王靖涛 Numerical modeling and application method of accurate constitutive model of geotechnical material
CN111046608A (en) * 2019-12-19 2020-04-21 东南大学 Modeling method of basalt fiber asphalt cement finite element model
CN111368481A (en) * 2020-03-29 2020-07-03 中国石油天然气集团有限公司 Method for analyzing stability of directional perforation
CN111783332A (en) * 2020-06-12 2020-10-16 广西大学 Finite element simulation method for vibration accumulation deformation of material with characteristics of compression hardness nonlinear change and shear shrinkage sudden change

Non-Patent Citations (18)

* Cited by examiner, † Cited by third party
Title
BABANAJAD, SAEED K.,ET AL.: "New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach", 《ADVANCES IN ENGINEERING SOFTWARE》 *
BEN-BEN LI,ET AL.: "Damage plasticity model for passively confined concrete", 《MATEC WEB OF CONFERENCES》 *
GAO, Z.W.,ET AL: "A multiaxial constitutive model for fibre-reinforced sand", 《GÉOTECHNIQUE》 *
WANG, YIXIAN,ET AL.: "Behavior and modeling of fiber-reinforced clay under triaxial compression by combining the superposition method with the energy-based homogenization technique", 《INTERNATIONAL JOURNAL OF GEOMECHANICS》 *
ZHANG, DIAN JIE,ET AL.: "Compressive behaviour of FRP-confined square concrete columns after creep", 《ENGINEERING STRUCTURES》 *
傅华等: "胶凝砂砾石料静、动力三轴剪切试验研究", 《岩土工程学报》 *
姚仰平等: "基于耦合应力建立土本构模型的方法", 《岩土工程学报》 *
孙明权等: "非线性K-G模型对胶凝砂砾石材料的适应性", 《人民黄河》 *
徐舜华等: "考虑剪切硬化的砂土临界状态本构模型", 《岩土工程学报》 *
方火浪等: "砂土三维多重机构边界面模型", 《岩土工程学报》 *
王丽等: "钙质砂的胶结性及对力学性质影响的实验研究", 《实验力学》 *
祝恩阳等: "胶结结构性土统一硬化模型", 《岩土力学》 *
程峰等: "有机固化剂作用下重金属污染土的力学体变特性", 《华南理工大学学报(自然科学版)》 *
薛云亮等: "考虑损伤阀值影响的钢纤维混凝土损伤本构模型研究", 《岩土力学》 *
金炜枫 等: "纳米线增强作用下纳米硅颗粒渗流加固钙质砂的强度研究", 《中国土木工程学会2019年学术年会 论文集》 *
金炜枫等: "Study on liquefaction simulation of coupled particle-fluid assembly subject to bi-directional cyclic loading", 《浙江大学学报(工学版)》 *
饶淳淳: "土石混合体的力学特性及本构模型研究", 《中国优秀博硕士学位论文全文数据库(硕士)基础科学辑》 *
魏坤龙等: "考虑孔隙缺陷三维编织C/C复合材料渐进损伤及强度预测", 《固体火箭技术》 *

Also Published As

Publication number Publication date
CN113155612B (en) 2022-09-30

Similar Documents

Publication Publication Date Title
CN105868484B (en) Expansive soil foundation breathing acts on the lower short embankment top surface lifting amount calculation method of non-fragment orbit
JP5503653B2 (en) Composite impact material for impact crusher
CN109255191B (en) Method for quantitatively calculating settlement generated after preloading of railway subgrade
JP5484468B2 (en) Hierarchical composite material
JP6197571B2 (en) Method for estimating compressive strength of soil cement
Granger et al. Effect of composition on basic creep of concrete and cement paste
CN112203786B (en) Composite tooth with frustoconical insert
Sangma et al. Experimental study on shrinkage behaviour of earth walling materials with fibers and stabilizer for cob building
CN113155612B (en) Deformation prediction method for microfiber mixed silica sol solidified calcareous sand
CN111622260A (en) Method for determining horizontal displacement of modular reinforced retaining wall in extreme state
CN105917057A (en) Method for producing a concrete component, prefabricated structural element of a concrete component, and concrete component
Jeong et al. Densification and compressive strength of in-situ processed Ti/TiB composites by powder metallurgy
CN109553256A (en) A kind of method of rapid curing mud
Ishihara et al. Characterization of undrained behaviour of soils in the reclaimed area of Kobe
CN115828605A (en) Calculation method for vertical bearing capacity of steel pipe pile with top end rigidly connected with sunk road
CN113125262A (en) Method for quickly forecasting deformation of breakable calcareous sand in loading process
Richart Jr Analysis for Sheet-Pile Retaining Walls
CN113125263A (en) Forecasting method for stress deformation of silica sol cured non-breakable sandy soil
Habibi et al. Monotonic behavior of geotextile reinforced soils under discrete rotation of principal stresses
CN110991792A (en) Method for controlling stress crack at pull rod in concrete engineering
Li Basic concepts on the compaction of soil
CN113008676A (en) Detection method of silica sol reinforced sandy soil
CN213062106U (en) Anti-sliding structure for bottom of wall of brick-built brake well
JP3479802B2 (en) Improvement method of sandy ground by compacted sand pile
CN116468188B (en) Dynamic prediction method for paraffin precipitation phase state of condensate gas reservoir in constant volume failure

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant