CN102930148B - Method for determining piping penetration coefficient based on random start - Google Patents
Method for determining piping penetration coefficient based on random start Download PDFInfo
- Publication number
- CN102930148B CN102930148B CN201210404137.4A CN201210404137A CN102930148B CN 102930148 B CN102930148 B CN 102930148B CN 201210404137 A CN201210404137 A CN 201210404137A CN 102930148 B CN102930148 B CN 102930148B
- Authority
- CN
- China
- Prior art keywords
- formula
- particle
- group
- kinetochore
- movable
- 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.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 230000035515 penetration Effects 0.000 title abstract 5
- 239000002245 particle Substances 0.000 claims abstract description 75
- 210000002415 kinetochore Anatomy 0.000 claims description 28
- 239000002689 soil Substances 0.000 claims description 19
- 230000008595 infiltration Effects 0.000 claims description 13
- 238000001764 infiltration Methods 0.000 claims description 13
- 239000011148 porous material Substances 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 9
- 239000008187 granular material Substances 0.000 claims description 6
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 5
- 239000012530 fluid Substances 0.000 claims description 4
- 238000012856 packing Methods 0.000 claims description 3
- 230000035699 permeability Effects 0.000 claims description 3
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 2
- 230000001133 acceleration Effects 0.000 claims description 2
- 230000005484 gravity Effects 0.000 claims description 2
- 230000003204 osmotic effect Effects 0.000 claims description 2
- 230000011218 segmentation Effects 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 3
- 238000004458 analytical method Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 abstract description 2
- 239000004576 sand Substances 0.000 description 5
- 230000008859 change Effects 0.000 description 2
- 239000004927 clay Substances 0.000 description 2
- 239000012466 permeate Substances 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003930 cognitive ability Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 238000009287 sand filtration Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for determining a piping penetration coefficient based on random start. The method for determining the penetration coefficient in the piping generation and development process is based on distribution densities or probability functions of a mean speed, a mean particles size of particles and a mean positional relation, based on parameters of mathematical expectation and the like, and based on combination of mechanical analysis. The method has significance for reasonably evaluating the dam safety, predicting an area where penetration damage possibly occurs and the form and reducing the losses caused by the penetration damage.
Description
Technical field
The invention belongs to seepage action of ground water computing technique field, be specifically related to a kind of piping infiltration coefficient defining method based on random start.
Background technology
In piping research in the past, often visual cognitive ability in the research of mean characteristics (namely in certainty rule), and the randomness that non-pay abundant attention piping occurs, considerable part theoreticians still adopts simple mechanics method to study by inevitable phenomenon, and do not analyze its randomness, so usually cannot explain some actual phenomenons.The randomness of piping is familiar with, can be familiar with from following two aspects: the 1) randomness of movable particle starting; 2) randomness of soil mass property in spatial distribution.
The essence of piping is the process that movable particle moves, constantly runs off under the pulling of current in hole, and the starting of particle in the soil body has contingency.In the ordinary course of things, size and its position of particle and the situation that contacts of other particle and water velocity are all the stochastic variables being difficult to determine in time.Therefore start phenomenon and there is very large contingency.Even if know by the waterpower critical condition of judgement piping in the past and be now in starting state, but due to there is no telling at that time instantaneous velocity, start particle diameter and its position and contact relation, it is the quantitative law being difficult to determine to start particle, that is, if only know average permeate flow velocity, the average grain diameter of particle and mean place relation, its quantitative law is difficult to determine.
Summary of the invention
Goal of the invention: calculate Problems existing for infiltration coefficient in above-mentioned piping generation evolution, the object of the invention is to consider that particle starts on the basis of randomness, proposes the defining method of infiltration coefficient in a kind of piping generation evolution.
Technical scheme: the present invention mainly calculates from thin sight aspect the randomness that movable particle starts, according to average permeate flow velocity, the average grain diameter of particle and the distribution density of mean place relation three or probability function, according to parameters such as mathematic expectaions, in conjunction with the analysis of mechanics, propose the defining method of infiltration coefficient in piping generation evolution.
Piping infiltration coefficient defining method based on random start of the present invention, is characterized in that comprising the steps:
(1) particle of inviscid piping-typed soils is divided into two classes, skeleton particle and movable particle, its cut-off size formula (1) calculates:
In formula: x
afor cut-off size, being greater than this particle diameter is skeleton particle, and being less than is then movable particle; Coefficient c
1for the form factor of particle; Coefficient c
2for the coefficient relevant with the packing of soil (for natural rounded sand and gravel, c
1=0.73, to rock debris, c
1=1.0; Coefficient c
2characterize the packing of soil, time the closeest, c
2=0, c time slightly close
2=0.05, time the most loose, c
2=0.18); A
aand B
aformula (2) and formula (3) is used to determine respectively:
In formula: y
afor with cut-off size x
acorresponding movable granule content; Y is the content being less than certain particle diameter x, and x (y) is the particle diameter of corresponding y;
X
asolve and can adopt trial and error procedure or iterative method: first suppose x
ainitial value x
a0, calculate A by formula (2), formula (3)
aand B
a, by A
aand B
abring formula (1) into, obtain an x
a, be designated as x
a1if, x
a0with x
a1differ less, then get the two mean value as x
a, otherwise use x
a1repeat above step;
(2) according to the cut-off size x that formula (1) calculates
a, be less than x
athe average grain diameter of each particle diameter group of movable particle be:
In formula:
be i-th can kinetochore group average grain diameter; D
(i-1)and D
(i)be respectively the representative diameter of (i-1) and the i-th particle diameter group;
I-th can the granule number of kinetochore group be:
In formula: N
ibe i-th can the granule number of kinetochore group;
be i-th can kinetochore group average grain diameter, determined by formula (4); M
ibe i-th can kinetochore group quality, can be determined by grading curve; ρ
sfor movable grain density;
(3) consider the randomness of hole flow rate of water flow, assuming that Normal Distribution, after movable particle runs off, the porosity of the soil body is:
In formula: the porosity of n ' rear soil body for movable particle runs off; N is original porosity; K is movable particle grouping number; E (N)
ibe i-th desired value can starting numbers of particles in kinetochore group, determined by formula (7); V
ibe i-th can kinetochore group start pore velocity, determined by formula (8);
The desired value of i-th numbers of particles that can start in kinetochore group is:
In formula: E (N)
ibe i-th desired value can starting numbers of particles in kinetochore group; N
ibe i-th can the movable numbers of particles of kinetochore group, determined by formula (5); V
ibe i-th can kinetochore group start pore velocity, determined by formula (8); V ' is average pore flow rate of water flow; σ is standard deviation.
I-th can kinetochore group starting pore velocity be:
In formula: V
ibe i-th can kinetochore group start pore velocity;
be i-th can the average grain diameter of kinetochore group, determined by formula (4); ρ
s, ρ
wbe respectively the density of movable particle and fluid; μ be fluid the coefficient of viscosity; θ is the angle of two granular center lines and vertical direction;
for the angle of current drag direction and horizontal direction, g is acceleration of gravity;
(4) by movable particle from being carefully k grain group to rough segmentation, then organize remainder particulate quality for i-th
by i from 1 value to k, calculate each group residual mass, according to result of calculation, obtain the soil body grading curve upgraded after movable particle runs off.By formula (6) result of calculation and the determined d of grading curve after upgrading
ωbring the coefficient of permeability K that formula (9) obtains the rear soil body of movable particle loss into:
In formula: K is soil body osmotic coefficient after movable particle runs off; d
ωfor equivalent grain size, determine by formula (10):
In formula: d
ibe the average grain diameter of i-th grade of particle diameter,
for corresponding to d
ithe particle weight of grain-size grade, d
1be the 1st group of movable grain diameter.
The present invention compared with prior art, its beneficial effect is: the infiltration coefficient distribution that the inventive method is calculated by said process, owing to considering the randomness that Rock And Soil particle starts, its result more accurately and reliably, and calculates the change procedure that finally can obtain piping and occur to develop by subregion.To rational evaluation embankment safety, the prediction contingent region of seepage failure and form, the loss etc. that minimizing seepage failure causes all has great importance.
Accompanying drawing explanation
Fig. 1 is the layer of sand grading curve that the embodiment of the present invention 1 calculates;
Fig. 2 is dyke model division and the dividing elements figure of the embodiment of the present invention 1 calculating;
The head isogram of piping mouth is there is in Fig. 3 when being the distance levee toe 30m place of the embodiment of the present invention 1 calculating;
Fig. 4 is the piping mouth near zone hydraulic gradient isogram that the embodiment of the present invention 1 calculates;
Fig. 5 is after infiltration coefficient calculating is carried out in region that the embodiment of the present invention 1 pair of gradient is greater than 0.2, the hydraulic gradient isogram of dyke.
Detailed description of the invention
Below technical solution of the present invention is described in detail, but protection scope of the present invention is not limited to described embodiment.
Embodiment 1: the present embodiment has carried out seepage calculation for an embankment.
Embankment adopts homogeneous dike structure, and piled up by homogeneous clay and form, infiltration coefficient is 1 × 10
-8m/s, levee foundation upper strata is clay cover layer, and infiltration coefficient is 1 × 10
-6m/s, lower floor is layer of sand, and infiltration coefficient is 1.5 × 10
-4m/s.Layer of sand physical index in table 1, wherein C
cand C
ube respectively coefficient of curvature and the nonuniformity coefficient of grading curve, G
sfor specific density of solid particles, n is initial porosity, d
10, d
30and d
60be respectively the soil particle diameter corresponding to mass accumulation percentage composition 10%, 30% and 60% being less than certain particle diameter.Grain composition and calculating subregion are shown in Fig. 1 and Fig. 2, and after there is piping mouth, hydraulic gradient distribution results is shown in Fig. 3 and Fig. 4.Get hydraulic gradient and be greater than the scope of 0.2 as computer capacity, its result of calculation is Fig. 5.
Layer of sand physical index in table 1 embodiment of the present invention 1
C c | C u | G s | n | d 10(mm) | d 30(mm) | d 60(mm) |
1.29 | 7.60 | 2.68 | 0.38 | 0.113 | 0.355 | 0.62 |
According to the inventive method, each step result of calculation is as follows:
(1) c is got
1=0.73, c
2=0.05, calculate x through step (1)
a=0.5mm,
(2) movable particle is divided into 3 groups, is respectively 0-0.075mm, 0.075mm-0.25mm, 0.25mm-0.5mm.Particle diameter grouping, average grain diameter, mass content and often organize the result of calculation such as numbers of particles in table 2.
Movable particle grouping situation in table 2 embodiment of the present invention 1.
Particle size range mm | 0-0.075 | 0.075-0.25 | 0.25-0.5 |
Average grain diameter | 0.038mm | 0.163mm | 0.375mm |
Shared mass percent | 6.2 | 11 | 25.2 |
1cm 3Middle numbers of particles | 1338610 | 30091 | 5661 |
(3) n '=0.5 is calculated through step (3).
(4) through step (4) d
ω=0.449mm, obtains K=0.35.
(5) adopt coefficient of permeability K=0.35, the hydraulic gradient isogram got hydraulic gradient and be greater than the scope of 0.2 can be calculated.
As mentioned above, although represented with reference to specific preferred embodiment and described the present invention, it shall not be construed as the restriction to the present invention self.Under the spirit and scope of the present invention prerequisite not departing from claims definition, various change can be made in the form and details to it.
Claims (2)
1., based on a piping infiltration coefficient defining method for random start, it is characterized in that comprising the steps:
(1) particle of inviscid piping-typed soils is divided into two classes, skeleton particle and movable particle, its cut-off size formula (1) calculates:
In formula: x
afor cut-off size, being greater than this particle diameter is skeleton particle, and being less than is then movable particle; Coefficient c
1for the form factor of particle; Coefficient c
2for the coefficient relevant with the packing of soil; A
aand B
aformula (2) and formula (3) is used to determine respectively:
In formula: y
afor with cut-off size x
acorresponding movable granule content; Y is the content being less than certain particle diameter x, and x (y) is the particle diameter of corresponding y;
(2) according to the cut-off size x that formula (1) calculates
a, be less than x
athe average grain diameter of each particle diameter group of movable particle be:
In formula:
be i-th can kinetochore group average grain diameter; D
(i-1)and D
(i)be respectively the representative diameter of (i-1) and the i-th particle diameter group;
I-th can the granule number of kinetochore group be:
In formula: N
ibe i-th can the granule number of kinetochore group;
be i-th can kinetochore group average grain diameter, determined by formula (4); M
ibe i-th can kinetochore group quality, can be determined by grading curve; ρ
sfor movable grain density;
(3) consider the randomness of hole flow rate of water flow, assuming that Normal Distribution, after movable particle runs off, the porosity of the soil body is:
In formula: the porosity of n ' rear soil body for movable particle runs off; N is original porosity; K is movable particle grouping number; E (N)
ibe i-th desired value can starting numbers of particles in kinetochore group, determined by formula (7); V
ibe i-th can kinetochore group start pore velocity, determined by formula (8);
The desired value of i-th numbers of particles that can start in kinetochore group is:
In formula: E (N)
ibe i-th desired value can starting numbers of particles in kinetochore group; N
ibe i-th can the movable numbers of particles of kinetochore group, determined by formula (5); V
ibe i-th can kinetochore group start pore velocity, determined by formula (8); V ' is average pore flow rate of water flow; σ is standard deviation;
I-th can kinetochore group starting pore velocity be:
In formula: V
ibe i-th can kinetochore group start pore velocity;
be i-th can the average grain diameter of kinetochore group, determined by formula (4); ρ
s, ρ
wbe respectively the density of movable particle and fluid; μ be fluid the coefficient of viscosity; θ is the angle of two granular center lines and vertical direction;
for current drag direction and horizontal direction angle, g is acceleration of gravity;
(4) by movable particle from being carefully k grain group to rough segmentation, then organize remainder particulate quality for i-th
by i from 1 value to k, calculate each group residual mass, according to result of calculation, obtain the soil body grading curve upgraded after movable particle runs off;
By formula (6) result of calculation and the determined d of grading curve after upgrading
ωbring the coefficient of permeability K that formula (9) obtains the rear soil body of movable particle loss into:
In formula: K is soil body osmotic coefficient after movable particle runs off; d
ωfor equivalent grain size, determine by formula (10):
In formula: d
ibe the average grain diameter of i-th grade of particle diameter,
for corresponding to d
ithe particle weight of grain-size grade, d
1be the 1st group of movable grain diameter.
2. the piping infiltration coefficient defining method based on random start according to claim 1, is characterized in that: in step (1), cut-off size x
asolve and can adopt trial and error procedure or iterative method: first suppose x
ainitial value x
a0, calculate A by formula (2), formula (3)
aand B
a, by A
aand B
abring formula (1) into, obtain an x
a, be designated as x
a1if, x
a0with x
a1differ less, then get the two mean value as x
a, otherwise use x
a1repeat above step.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210404137.4A CN102930148B (en) | 2012-10-22 | 2012-10-22 | Method for determining piping penetration coefficient based on random start |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201210404137.4A CN102930148B (en) | 2012-10-22 | 2012-10-22 | Method for determining piping penetration coefficient based on random start |
Publications (2)
Publication Number | Publication Date |
---|---|
CN102930148A CN102930148A (en) | 2013-02-13 |
CN102930148B true CN102930148B (en) | 2015-04-29 |
Family
ID=47644945
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201210404137.4A Expired - Fee Related CN102930148B (en) | 2012-10-22 | 2012-10-22 | Method for determining piping penetration coefficient based on random start |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102930148B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104141294B (en) * | 2014-07-24 | 2016-05-04 | 中国电建集团华东勘测设计研究院有限公司 | Pattern foundation pit supporting structure sealing system defect causes the determination methods that soil body penetration destroys |
CN104931401B (en) * | 2015-06-02 | 2017-10-20 | 中国科学院力学研究所 | Infiltration coefficient dynamic change model in a kind of sandy gravel soils piping erosion process |
CN113075106B (en) * | 2021-03-26 | 2022-11-11 | 桂林理工大学 | Method for determining hydraulic parameters and water inflow amount of gravel soil in erosion stage |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101135734A (en) * | 2007-10-22 | 2008-03-05 | 苏州圣庄伟业岩土科技有限公司 | Foundation ground water parameter measurement method and system based on pressure tracing |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102051896B (en) * | 2009-11-02 | 2012-04-18 | 郑州优特基础工程维修有限公司 | Dam piping rescue high polymer closed grouting method |
-
2012
- 2012-10-22 CN CN201210404137.4A patent/CN102930148B/en not_active Expired - Fee Related
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101135734A (en) * | 2007-10-22 | 2008-03-05 | 苏州圣庄伟业岩土科技有限公司 | Foundation ground water parameter measurement method and system based on pressure tracing |
Non-Patent Citations (2)
Title |
---|
刘忠玉,乐金朝,苗天德.《无粘性土中管涌的毛管模型及其应用》.《岩土力学与工程学报》.2004,第23卷(第22期),全文. * |
刘忠玉.《考虑颗粒随机起动的无黏性图管涌过程分析》.《中国力学学会学术大会2005论文摘要集(下)》.2005,全文. * |
Also Published As
Publication number | Publication date |
---|---|
CN102930148A (en) | 2013-02-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110287571B (en) | River dangerous work scouring safety analysis and bank slope stability determination method | |
Judd et al. | Hydraulics of large bed element channels | |
CN111931275B (en) | Dam break process simulation method caused by seepage damage of tailing pond dam body | |
CN109271672B (en) | River channel water surface line calculation method under interaction of river-lake-pump station | |
CN103276687A (en) | Calculating method and calculating application of forms of debris flow siltation behind silt arresters | |
CN111931369B (en) | Rainfall landslide stability analysis and movement distance measurement method, equipment and medium | |
CN113705127A (en) | Dam break risk prediction and emergency response method and device for tailing pond and electronic equipment | |
Zhang et al. | A two dimensional hydrodynamic and sediment transport model for dam break based on finite volume method with quadtree grid | |
US20220307964A1 (en) | Method for determining hydraulic parameters and water inflow in erosion stage of gravel soil | |
Li et al. | Numerical simulation on the longitudinal breach process of landslide dams using an improved coupled DEM-CFD method | |
CN102930148B (en) | Method for determining piping penetration coefficient based on random start | |
CN105464040A (en) | Numerical computation method for alluvial river bank collapse process | |
Omer et al. | Modelling of sedimentation processes inside Roseires Reservoir (Sudan) | |
CN102799744B (en) | Dumping process technology of open cut ore mine moraine soil | |
CN101906786A (en) | Method for judging piping seepage damage of foundation pit containing confined water of soft soil layer | |
Wang et al. | Simulation of dam breach development for emergency treatment of the Tangjiashan Quake Lake in China | |
CN110909494B (en) | Beach sea land and shore facility safety evaluation method | |
Wu et al. | Displacement behaviour and potential impulse waves of the Gapa landslide subjected to the Jinping Reservoir fluctuations in Southwest China | |
CN106202771A (en) | A kind of viscous mud-flow blocks up river computational methods and application thereof | |
Wu et al. | Finite element analysis on mechanical behavior of semi-exposed pipeline subjected to debris flows | |
CN114120590B (en) | Dam blocking and dam bursting danger grading and early warning method based on different bursting modes | |
CN101845815A (en) | Method for calculating and processing uprush plastic failures of confined water foundation pits of soft soil strata | |
Li et al. | Tunnel bottom cavity laws of heavy-haul railway tunnel under train load and groundwater in weak surrounding rock condition | |
Beheshti et al. | Seepage analysis of rock-fill dam subjected to water level fluctuation: a case study on Gotvand-Olya dam | |
Shahraki et al. | Modeling of earth dam break with SMPDBK case study: Bidekan earth dam |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150429 |