CN109063285A - A kind of slight slope layout scheme of boreholes design method - Google Patents
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Abstract
A kind of slight slope layout scheme of boreholes design method, initially set up the Soil Parameters model based on Nonstationary random field theory, and then reflect influence of the place information obtained from different drillings to Soil Parameters probability distribution by Bayesian updating analysis method, and the estimation of spatial variability Soil Parameters statistical nature and side slope posteriority failure probability is completed with this, the optimal bore position of side slope and the best spacing of wells are finally determined according to information content analysis.The present invention has many advantages, such as that concept is apparent, computational accuracy is high, reasonable description Soil Parameters Spatial Variability, and under the premise of expending minimum engineering investigation cost, can get more valuable field test datas.
Description
Technical field
The present invention relates to slight slope layout scheme of boreholes design method, in particular to a kind of do not drain is saturated cohesive soil slope
Drill layout design method.
Background technique
Drilling is a kind of important technical of geological prospecting, be widely used in finding and explore various mineral products, oil-gas reservoir,
Underground water, underground heat and stratum provide geologic information for water conservancy construction, engineering construction and means of transportation etc..Especially carrying out
When In Slope Engineering Design, the acquisition of soil body various parameters is particularly important, and to obtain the experimental data that more really drills, is needed
Carry out reasonable layout scheme of boreholes design.Drilling arrangement relates generally to determine bore position, the spacing of wells, drilling depth and brill
Number of perforations etc..Optimal layout scheme of boreholes obtains the scene of most worthy under the premise of capable of reaching saving engineering investigation cost
Test data.
Currently, drilling layout design method does not form more unified understanding, only " geotechnical investigation specification
(GB50021-2001) " corresponding computational rules are given:
(1) exploration line answers vertical side slope to move towards arrangement, when meeting weak intercalated layer or unfavorable structural plane, should suitably encrypt drilling.
Exploration hole depth should pass through potential water use and go deep into 2~5 m of stabilized zone.Except routinely probing in addition to, can use as needed exploratory heading,
Exploratory trench, prospect pit and inclined hole.
(2) it arranges and is considered as exploring the influence to engineering natural environment when investigation and prospecting, prevent to underground utilities, underground work
The destruction of journey and natural environment.It should properly be backfilled after drilling, prospect pit and exploratory trench completion.
(3) the exploratory spot spacing in main exploration line should not exceed 50 m, and no less than 3 exploratory spots.
(4) it is 20~30 m that exploration grade, which is the side slope exploration line spacing of level-one, and exploratory spot spacing is 15~20 m；Exploration
Grade is that the side slope exploration line spacing of second level is 30~40 m, and exploration line spacing is 25~30 m；Explore the side that grade is three-level
Slope exploration line spacing is 40~50 m, and exploratory spot spacing is 30~40 m.
Currently, only how to design optimal slight slope layout scheme of boreholes under the premise of known Rock And Soil parameter prior information
It is still a crucial problem including the optimal bore position of determination, the spacing of wells and drilling number etc..
The theoretical not perfect and layout scheme of boreholes design of the layout design that drills it is unreasonable, will lead to field survey scheme
Change, construction cost increase, are not only difficult to obtain valuable field test data, or even also will cause safety accident.Such as
The Three Gorges Reservoir Region of Hubei Zigui County occurrence of large-area of in September, 2014 landslide, causes high hill power station integrally to be damaged, in 348 national highways
It is disconnected, the reason is that there is no true field experiment data when geological prospecting, the bearing capacity of shallow foundation is caused to be overestimated.For another example
Husky song mine 4#Coal seam causes to tunnel compressor emergency shutdown (average 1.2 times/h), stop work because drilling arrangement parameter is not optimized preferably
(average 3.6 times/month) situation takes place frequently, and seriously affects Linking up digging.
Therefore, there are the solutions of many problems demands in current side slope layout scheme of boreholes design process, such as:
(1) by deposit, deposition, chemical weathering and transportation and loading history etc. are influenced afterwards, even for homogeneous soil
Soil strength variation at different location is not only different, but also there are certain correlations, this is the intrinsic spatial variability of Soil Parameters
Property, layout scheme of boreholes design at present does not all go the influence for reasonably describing Soil Parameters Spatial Variability, will cause inclined guarantor
The design scheme kept.
(2) Soil Parameters prior information is very crucial to layout scheme of boreholes optimization design, however at present in the characterization soil body
Substantially this characteristic that Soil Parameters mean value and standard deviation are gradually increased along buried depth is not accounted for when parameter prior information, will cause
Designed layout scheme of boreholes and engineering physical presence relatively large deviation.
(3) not only searching process calculation amount is very big for common multi-objective optimization design of power method, but also cannot preferable land productivity
With the places such as limited field test data information；Markov chain Monte-carlo Simulation Method is difficult to solve to consider Soil Parameters
The side slope layout scheme of boreholes higher-dimension optimization design problem of Spatial Variability.
Summary of the invention
The purpose of the present invention is to the situations of the above-mentioned prior art to provide a kind of slight slope layout scheme of boreholes design side
Method carries out accurate effectively optimizing design to layout scheme of boreholes, realizes and determine the optimal bore position of side slope with more easily approach
With the best spacing of wells, and to expend the prospecting experimental data that minimum engineering investigation cost obtains most worthy, thus in order to
It solves stability of slope performance and more comprehensive formation information amount is provided.
The present invention is achieved by the following technical solutions.
A kind of slight slope layout scheme of boreholes design method of the present invention, according to the following steps.
(1) Soil Parameters Nonstationary random field model is constructed.
It collects rough Soil Parameters prior information (mean value, standard deviation, probability distribution, fluctuation range etc.), divides side slope
Random field grid generates the Nonstationary random field implementation value that Soil Parameters are gradually increased with side slope buried depth, and random field is realized
Value is successively assigned to side slope model.
(2) random arrangement is representative drills and simulates virtual field test data.
According to " geotechnical investigation specification (GB50021-2001) " and side slope grade, and with a series of bore positions and brill
Pitch of holes arranges some representative drillings at random on side slope surface, first based on Soil Parameters for each representative drilling
Test the virtual field test data that information uses Quasi random sampling technical modelling to obtain from drilling.
(3) spatial variability Soil Parameters statistical nature more new model is established.
Based on virtual field test data, establishes and consider measurement and the probabilistic likelihood function of model conversion, and really
Fixed constant related with likelihood function, defines a new failed areas, calculates place message event using subset simulation method
Probability of happening, therefrom obtain failure sample, combine corresponding skies further according to these different representative drillings of failure samples estimation
Between make a variation Soil Parameters posterior probability density function.
(4) side slope posteriority failure probability is calculated.
On the basis of using subset simulation method estimation space variation Soil Parameters posterior probability density function before this, structure
Side slope failed areas is built, corresponding side slope posteriority failure is combined generally using the different representative drillings of subset simulation method calculating again
Rate.
(5) place information content analysis.
Based on Soil Parameters posterior probability density function and side slope posteriority failure probability, by it is expected using place information content
Value come reflect place information slope reliability update and information content analysis influence, therefrom determine optimal representative drilling group
Corresponding bore position and the spacing of wells are closed, and then design goes out optimal side slope layout scheme of boreholes.
When being calculated using above-mentioned analysis model optimal drilling arrangement: can be non-by soil shear strength parameter simulation
Steady lognormal random field, soil body bulk density are considered as constant；Described place prior information can be from engineering experience, Engineering
Than, survey in the data such as report and pertinent literature and obtain.
The places information such as the field test data collected from the drilling of specific place difference are used to update Soil Parameters statistics
Feature, influence of this place information to Soil Parameters probability distribution and slope stability can be general by the Soil Parameters posteriority of estimation
Rate density function and side slope posteriority failure probability embody.Posterior probability density function discreteness is smaller, and the failure of side slope posteriority is general
Rate is lower, then shows the more reasonable of drilling arrangement.
It is a feature of the present invention that updating spatial variability Soil Parameters probability density function based on bayes method and calculating side
Slope posteriority failure probability determines the optimal bore position of side slope and the best spacing of wells according to place information content analysis.This method tool
Have the advantages that concept is apparent, computational accuracy is high and the intrinsic Spatial Variability of reasonable description Soil Parameters, and can be realized and consuming
Under the premise of taking minimum engineering investigation cost, more valuable field test datas are obtained.
Detailed description of the invention
Attached drawing 1 is drilling isometric plan.
Attached drawing 2 is drilling plane layout drawing.
Attached drawing 3 is certain Hole cross-section plotting.
In attached drawing: d1For drilling horizontal distance, d2For the axial distance that drills, CPT1 ..., CPT14 are static sounding drilling,
1-2 is plain fill, and 3-2 is silty clay, and 3-3 is siltstone,W 2For weak weathering soil layer,W 3For severely-weathered soil layer.
Specific embodiment
With reference to the accompanying drawing, a specific embodiment of the invention is further described.
(1) Soil Parameters Nonstationary random field model is constructed.
The side slope surface soil body is influenced by factors such as ground rainfall, weathering, transpiration and traffic, therefore uses lognormal
Distribution simulation slope soil surface shear strength parameter is uncertain；Reflection soil shear strength is simulated using logarithm normal distribution
Parameter with the increased rate of buried depth (trend component) variability；Use mean value for 0 and standard deviation be a certain constant it is steady just
The variability of state random field simulation soil shear strength stochastic parameter wave component.Then side slope random field unit grid is divided,
Using Karhunen-Loeve series expansion method discrete stationary normal state random field, Soil Parameters non-stationary is calculated on this basis
Random field implementation value.
(2) spatial variability Soil Parameters statistical nature more new model is established.
From the drilling in CPT1 ..., CPT14 at selection different location and any two drilling group with different spacing
It closes, based on Quasi random sampling technical modelling from the virtual of the different soil (plain fill, silty clay, siltstone) of acquisition
Field test data is established consider measurement and the probabilistic likelihood function of model conversion accordingly, and determination has with likelihood function
The constant of pass defines a new failed areas, establishes the bridge between Bayesian updating and reliability analysis of structure, will be complicated
Bayesian updating problem be converted to a structural reliability problem of equal value, it is reliable to solve the structure using subset simulation method
Degree problem, estimation space Mutation parameter posterior probability density function.
(3) posteriority failure probability is calculated.
On the basis of using subset simulation method estimation space variation Soil Parameters posterior probability density function before this, structure
Side slope failed areas is built, side slope posteriority failure probability is calculated using subset simulation method again.
(4) place information content analysis.
The information that understanding slope stability can be provided by comparing the test data obtained by different layout scheme of boreholes
Size is measured to determine optimal bore position and the best spacing of wells etc..Information magnitude is bigger, indicates to pass through certain layout scheme of boreholes
The information content that the test data of middle acquisition can provide understanding slope stability is bigger, i.e., between designed bore position and drilling
Away from more reasonable, vice versa.
Specific implementation example of the invention is as follows.
1, certain does not drain saturation a height of 10 m in cohesive slope slope, and it is 20 kN/m by soil body bulk density that slope angle, which is 26.6 °,3It is regarded as
Constant.Side slope horizontal distance takes 60 m, and elevation takes -20 m~0.
2, as follows to above-mentioned side slope layout scheme of boreholes design procedure according to the present invention.
(1) Soil Parameters Nonstationary random field model is constructed.
Based on the place prior information collected, side slope surface undrained shear strength, which is modeled as priori mean value, is
The lognormal stochastic variable that 14.67 kPa and priori standard difference are 4.034 kPa；It will reflect that soil strength is increased with buried depth
Rate (trend component) is modeled as the lognormal stochastic variable that priori mean value is 0.3 and priori standard difference is 0.09；By the soil body
Shear strength parameter wave component is modeled as the steady normal state random field that priori mean value is 0 and priori standard difference is 0.24, by existing
The horizontal and vertical fluctuation range of Soil Parameters that field vane shear test obtains takes 38 m and 3.8 m respectively.Divide side slope with
Airport unit grid, it is respectively that the quadrangle of 2.0 m and 0.5 m and triangle mix that subdivision, which is 910 horizontal and vertical sizes, altogether
Close unit.The steady normal state random field of Soil Parameters wave component is simulated using Karhunen-Loeve series expansion method again,
Soil Parameters Nonstationary random field implementation value is calculated on the basis of this.
(2) spatial variability Soil Parameters statistical nature more new model is established.
From the drilling in CPT1 ..., CPT14 at selection different location and any two drilling group with different spacing
It closes, Nonstationary random field implementation value is multiplied with consideration measurement and the probabilistic overall error implementation value of analog-converted and is generated from certain
The virtual field test data of the multiple groups obtained in a little drillings, wherein it is 1.0 that overall error, which is modeled as median, standard deviation is certain
The logarithm normal distribution of one constant.Likelihood function needed for establishing Bayesian analysis accordingly defines a new failed areas, will
Complicated Bayesian updating problem is converted to a structural reliability problem of equal value.
(3) Soil Parameters posterior probability density function and side slope posteriority failure probability are estimated.
Soil Parameters posterior probability density function and side slope posteriority failure probability are estimated using subset simulation method, wherein often
Layer number of samples is 1000, conditional probability 0.1.
(4) place information content analysis result.
According to the side slope posteriority failure probability of acquisition, place information content desired value is calculated using Monte Carlo simulation.Information
Amount desired value is bigger, indicates the field test data obtained from a certain bore position to understanding formation characteristics and stability of slope performance
The information content of offer is bigger.By calculated result it is found that when bore position on the left of side slope by tapering on the right side of side slope, information content
Desired value first increases and reduces afterwards, reaches maximum value at top of the slope neighbouring position, minimum value is reduced on the right side of toe.Thus it can push away
It is optimal bore position that slope surface, which is surveyed, close to top of the slope region.Equally, it is obtained by comparing from the drilling combination of any two of different spacing
The information content desired value that the test data taken calculates can obtain the horizontal fluctuation range that the optimal spacing of wells is about half times
(19 m).
Claims (3)
1. a kind of slight slope layout scheme of boreholes design method, it is characterized in that according to the following steps:
(1) Soil Parameters Nonstationary random field model is constructed:
Soil Parameters prior information: mean value, standard deviation, probability distribution, fluctuation range is collected, side slope random field grid is divided, is produced
The Nonstationary random field implementation value that raw Soil Parameters are gradually increased with side slope buried depth, and random field implementation value is successively assigned to side slope
Model；
(2) random arrangement is representative drills and simulates virtual field test data:
According to geotechnical investigation specification and side slope grade, and with a series of bore positions and the spacing of wells on side slope surface with
Machine arranges some representative drillings, for each representative drilling, is taken out at random based on Soil Parameters prior information using Quasi
The virtual field test data that sample technical modelling is obtained from drilling；
(3) spatial variability Soil Parameters statistical nature more new model is established:
Based on virtual field test data, establish and consider measurement and the probabilistic likelihood function of model conversion, and determine with
The related constant of likelihood function defines a new failed areas, and the hair of place message event is calculated using subset simulation method
Raw probability therefrom obtains failure sample, combines corresponding space further according to these different representative drillings of failure sample estimation and becomes
Different Soil Parameters posterior probability density function；
(4) side slope posteriority failure probability is calculated:
On the basis of using subset simulation method estimation space variation Soil Parameters posterior probability density function before this, side is constructed
Slope failed areas calculates different representative drillings using subset simulation method again and combines corresponding side slope posteriority failure probability；
(5) place information content analysis:
Based on Soil Parameters posterior probability density function and side slope posteriority failure probability, by using place information content desired value come
Reflect that information slope reliability in place updates the influence with information content analysis, therefrom determines optimal representative drilling combination pair
The bore position and the spacing of wells answered, and then design goes out optimal side slope layout scheme of boreholes.
2. a kind of slight slope layout scheme of boreholes design method according to claim 1, it is characterized in that utilizing above-mentioned analysis mould
When type calculates drilling arrangement: being non-stationary lognormal random field, soil body bulk density by soil shear strength parameter simulation
It is considered as constant；Described place prior information from engineering experience, engineering analogy, survey in the data such as report and pertinent literature and obtain
?.
3. a kind of slight slope layout scheme of boreholes design method according to claim 1, it is characterized in that different from specific place
The field test data collected in drilling is used to update Soil Parameters statistical nature, steady to Soil Parameters probability distribution and side slope
Influence Soil Parameters posterior probability density function and side slope posteriority failure probability by estimation qualitatively to embody, posterior probability
Density function discreteness is smaller, and side slope posteriority failure probability is lower, shows the more reasonable of drilling arrangement.
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| CN111080020A (en) * | 2019-12-23 | 2020-04-28 | 中山大学 | Robustness evaluation method and device for drilling arrangement scheme |
| CN111080020B (en) * | 2019-12-23 | 2023-03-31 | 中山大学 | Robustness evaluation method and device for drilling arrangement scheme |
| CN112241594A (en) * | 2020-10-22 | 2021-01-19 | 同济大学 | Rapid optimization method for side slope exploration drilling arrangement scheme |
| CN112241594B (en) * | 2020-10-22 | 2022-06-07 | 同济大学 | Rapid optimization method for side slope exploration drilling arrangement scheme |
| US11530609B2 (en) | 2021-04-06 | 2022-12-20 | Saudi Arabian Oil Company | Well placing using bayesian network expert system |
| CN114417708A (en) * | 2021-12-27 | 2022-04-29 | 武汉大学 | Slope monitoring design optimization method |
| CN114417708B (en) * | 2021-12-27 | 2024-04-16 | 武汉大学 | Slope monitoring design optimization method |
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