CN117571427A - Preparation method and system of argillaceous sandstone similar material - Google Patents
Preparation method and system of argillaceous sandstone similar material Download PDFInfo
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- 239000004568 cement Substances 0.000 claims description 12
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- GUJOJGAPFQRJSV-UHFFFAOYSA-N dialuminum;dioxosilane;oxygen(2-);hydrate Chemical compound O.[O-2].[O-2].[O-2].[Al+3].[Al+3].O=[Si]=O.O=[Si]=O.O=[Si]=O.O=[Si]=O GUJOJGAPFQRJSV-UHFFFAOYSA-N 0.000 claims description 4
- 229910052901 montmorillonite Inorganic materials 0.000 claims description 4
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- 239000006004 Quartz sand Substances 0.000 claims description 3
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- 229910052622 kaolinite Inorganic materials 0.000 claims description 3
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
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- C—CHEMISTRY; METALLURGY
- C04—CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
- C04B—LIME, MAGNESIA; SLAG; CEMENTS; COMPOSITIONS THEREOF, e.g. MORTARS, CONCRETE OR LIKE BUILDING MATERIALS; ARTIFICIAL STONE; CERAMICS; REFRACTORIES; TREATMENT OF NATURAL STONE
- C04B28/00—Compositions of mortars, concrete or artificial stone, containing inorganic binders or the reaction product of an inorganic and an organic binder, e.g. polycarboxylate cements
- C04B28/02—Compositions of mortars, concrete or artificial stone, containing inorganic binders or the reaction product of an inorganic and an organic binder, e.g. polycarboxylate cements containing hydraulic cements other than calcium sulfates
- C04B28/04—Portland cements
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- C—CHEMISTRY; METALLURGY
- C04—CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
- C04B—LIME, MAGNESIA; SLAG; CEMENTS; COMPOSITIONS THEREOF, e.g. MORTARS, CONCRETE OR LIKE BUILDING MATERIALS; ARTIFICIAL STONE; CERAMICS; REFRACTORIES; TREATMENT OF NATURAL STONE
- C04B28/00—Compositions of mortars, concrete or artificial stone, containing inorganic binders or the reaction product of an inorganic and an organic binder, e.g. polycarboxylate cements
- C04B28/14—Compositions of mortars, concrete or artificial stone, containing inorganic binders or the reaction product of an inorganic and an organic binder, e.g. polycarboxylate cements containing calcium sulfate cements
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- E—FIXED CONSTRUCTIONS
- E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
- E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
- E02D33/00—Testing foundations or foundation structures
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Abstract
The application discloses a preparation method and a preparation system of a muddy sandstone similar material, and belongs to the technical field of preparation of muddy sandstone similar materials. According to the method, according to the components of the argillaceous sandstone, an orthogonal experimental design or a uniform experimental design method is adopted to design and determine a similar material mixing ratio test scheme, argillaceous sandstone similar material samples with different mixing ratios are manufactured, physical values are tested, an empirical function relation between the physical values and the components of a mixture of the argillaceous sandstone similar material and the sample is obtained through regression analysis, and then the preparation of the argillaceous sandstone similar material is carried out according to the physical values required by an indoor test. The method can prepare the argillaceous sandstone similar materials meeting the requirements of indoor simulation tests, reduce the test cost, and can be used for testing the side friction resistance of piles or anchor rods in argillaceous sandstone stratum.
Description
Technical Field
The application belongs to the technical field of preparation of argillaceous sandstone similar materials, and particularly relates to a preparation method and a system of argillaceous sandstone similar materials for indoor testing of pile or anchor rod side friction resistance in argillaceous sandstone strata.
Background
In the geotechnical engineering field, understanding the physical and mechanical properties of subsurface formations is critical to the design and construction of infrastructure. In order to truly simulate conditions in an actual formation, it is often necessary to use rock-like materials for in-house testing. These similar materials must be able to accurately simulate the physical and mechanical properties of the actual formation, including compressive strength, tensile strength, elastic modulus, density, etc. of the rock. For the argillaceous sandstone stratum, the specific mechanical property of the argillaceous sandstone stratum needs to be simulated so as to ensure the accuracy of the test, and a scientific basis is provided for the design of the field engineering pile or the anchor rod.
However, the preparation method of the muddy sandstone similar materials is relatively deficient at present, and the prepared similar materials are difficult to match with the properties.
Disclosure of Invention
The embodiment of the application aims to provide a preparation method and a system for a muddy sandstone similar material, which are characterized in that according to mineral composition components of undisturbed rock, a sample of the muddy sandstone similar material is prepared by adopting the rock similar material, an intelligent optimization algorithm is adopted to calculate and determine the optimal mixing ratio of the muddy sandstone similar material, regression analysis is carried out on the optimal mixing ratio of the muddy sandstone similar material to obtain an empirical function relation between each physical quantity and composition components of the mixture of the muddy sandstone similar material and the sample, finally, the optimal mixing ratio of the muddy sandstone similar material is calculated and determined based on the intelligent optimization algorithm, and then, the preparation of the similar material is carried out according to the physical quantity required by an indoor test, so that at least one technical problem related to the background technology can be solved.
In order to solve the technical problems, the application is realized as follows:
the embodiment of the application provides a preparation method of a muddy sandstone similar material, which comprises the following steps:
step S1, determining a target stratum, taking undisturbed rock samples from the target stratum, and testing original values of physical quantities of the undisturbed rock samples;
s2, according to the similarity ratio of the indoor simulation test, deriving the simulation value of each physical quantity in the simulation test by using a similarity theory;
s3, rock and ore identification is carried out on the undisturbed rock sample, the mineral components of the undisturbed rock sample are determined through analysis, and then the components of the argillaceous sandstone similar materials are determined;
s4, designing a mixing ratio test scheme of the muddy sandstone similar materials, preparing a mixture of the muddy sandstone similar materials, and testing the consistencies and the setting times of the mixtures with different mixing ratios;
step S5, whether the consistency meets the requirement is evaluated, if not, the step S4 is executed in a return mode; if yes, executing step S6;
s6, placing the mixture meeting the requirements into a mould to manufacture a sample, sealing and curing the manufactured sample for a period of time, and then testing each physical quantity value of the sample, and carrying out regression analysis to obtain an empirical function relation between each physical quantity and composition components of the mixture of the argillaceous sandstone similar material and the sample;
step S7, calculating and determining the optimal mixing ratio of the muddy sandstone similar materials based on an intelligent optimization algorithm;
and S8, calculating error values between each physical quantity test value of the sample prepared by the mixture under the optimal mixing ratio and each physical quantity analog value derived by using a similarity theory, and fine-tuning the mixing ratio of the argillaceous sandstone similar materials based on the calculated error values.
As one limitation of the present application, in step S1, the target formation is determined using the following method:
investigation of diameter of piles or anchors in actual engineeringAccording to the actual condition of the field engineering, determining a target stratum of which the side friction resistance of piles or anchor rods in the muddy sandstone stratum needs to be tested, and calculating the overburden stratum pressure +.>。
As one limitation of the present application, in step S1, the physical quantity comprises the dry density of the undisturbed rock sampleElastic modulus->Uniaxial compressive Strength->And tensile Strength->The method comprises the steps of carrying out a first treatment on the surface of the In the step S2, the physical quantity simulation value comprises the diameter value of the pile or the anchor rod in the indoor simulation test +.>The value of the overburden stratum pressure>Dry density take-offElastic modulus value->Single shaft compression strength valueTensile Strength value->Wherein->For a similar ratio of pile or anchor rod diameters,for overburden pressure similarity ratio, +.>Is the dry density similarity ratio, +.>Is the modulus of elasticity similarity>Is of similar ratio of uniaxial compressive strength>Is a tensile strength similarity ratio.
As one limitation of the present application, in step S3, the argillaceous sandstone-like material composition includes aggregate, binder, clay mineral, blending agent, and admixture, wherein:
the aggregate comprises coarse aggregate and fine aggregate;
the coarse aggregate is quartz sand;
the fine aggregate is one of barite powder and iron concentrate;
the cementing agent is one or two of cement and gypsum, wherein the cement is ordinary Portland cement;
the clay mineral is one of kaolinite and montmorillonite;
the blending agent is water;
the additive is one or two of glycerin and gypsum retarder.
As a limitation of the present application, in step S4, designing a mixing ratio test scheme of the muddy sandstone similar material according to an orthogonal test design or a uniform test design method includes:
determining the bone cement ratio, namely the ratio of the mass of the coarse aggregate and the fine aggregate to the mass of the cementing agent is 0.5-3.0;
determining the mass ratio of coarse aggregate to fine aggregate to be 0.4-3.0;
determining the mixing amount of clay mineral, namely, the mixing amount is 5-50% of the total mass ratio of solids;
determining the water-cement ratio, namely the mass ratio of water to cementing agent is 0.5-4;
the mixing amount of the additive is determined, namely, the glycerol accounts for 0.1 to 0.5 percent of the mass ratio of clay minerals, and the gypsum retarder accounts for 0 to 0.5 percent of the mass ratio of gypsum.
As a limitation of the present application, in step S4, the following method is used to prepare a mixture of the argillaceous sandstone-like materials:
sequentially weighing coarse aggregate, fine aggregate, cementing agent and clay mineral with corresponding weights, and placing in a stirring pot for dry stirring for 1.5-5 min;
then weighing water with corresponding weight, adding the water into a stirring pot for wet mixing for 1.5-5 min.
As a limitation of the present application, in step S6, the empirical functional relation is:
；
in the method, in the process of the invention,is the consistency of the mixture; />Is the clotting time; />WhereinIs made of a muddy sandstone similar material;sis the content (ratio) of the constituent components;and->As a polynomial function.
As a limitation of the present application, in step S7, the optimal blending ratio of the muddy sandstone similar materials is determined based on the calculation of the intelligent optimization algorithm, and specifically includes the following steps:
taking the consistency and the setting time of the muddy sandstone similar material mixture to meet the test operation requirement, and the physical quantity of the similar material sample to be equal to the simulation value of each physical quantity in the simulation test derived according to the similar theoretical analysis as constraint conditions, and constructing the following optimized mathematical model by using the test cost objective function:
；
in the method, in the process of the invention,is the total cost; />Is an objective function; />The price coefficient of the ith component obtained by conversion according to the market price;
an external point punishment function method is adopted to convert the optimized mathematical model into the following unconstrained optimized function form:
；
in the method, in the process of the invention,ras penalty factors, from small to large and approaching +.；rIs +.>WhereincTo increment the coefficients, we generally takec=5-10；
Solving by adopting an ant colony optimization search algorithm to obtain an optimal solutionI.e. the calculated optimal mixing ratio of the components of the argillaceous sandstone-like material is +.>。
As a limitation of the present application, in step S8, the error value is calculated by the following method:
according to the optimal mixing ratio of the components of the muddy sandstone similar materials obtained by optimization analysisThe mixture was formulated and tested for consistency>And clotting time->；
Preparing a sample and measuring the dry density of the sampleElastic modulus->Uniaxial compressive Strength->And tensile Strength->A value;
calculating error values between each physical quantity test value of a sample prepared by the mixture under the optimal mixing ratio and each physical quantity simulation value derived by using a similarity theory, namely:
dry density error:；
elastic modulus error:；
uniaxial compressive strength error:；
tensile strength error:。
the application also provides a preparation system of the argillaceous sandstone similar material for realizing the method, which comprises the following steps:
the physical quantity original value testing module is used for determining a target stratum, taking undisturbed rock samples from the target stratum and testing original values of various physical quantities;
the physical quantity analog value deriving module is used for deriving each physical quantity analog value in the simulation test by utilizing a similarity theory according to the similarity ratio of the indoor simulation test;
the similar material composition determining module is used for carrying out rock-ore identification on the undisturbed rock sample, analyzing and determining mineral compositions of the undisturbed rock sample, and then determining the composition of the argillaceous sandstone similar material;
the mixture testing module is used for designing a mixing ratio test scheme of the muddy sandstone similar materials, preparing the mixture of the muddy sandstone similar materials, and testing the consistencies and the setting time of the mixture with different mixing ratios;
a consistency assessment module for assessing whether a consistency meets a requirement;
the empirical function relation obtaining module is used for testing each physical quantity value of the sample, and obtaining an empirical function relation between each physical quantity and composition components of the mixture of the argillaceous sandstone similar material and the sample through regression analysis;
the optimal mix ratio calculation module is used for calculating and determining the optimal mix ratio of the muddy sandstone similar materials based on an intelligent optimization algorithm;
and the fine adjustment module is used for calculating error values between each physical quantity test value of the sample prepared by the mixture under the optimal mixing ratio and each physical quantity analog value derived by utilizing the similarity theory, and carrying out fine adjustment on the mixing ratio of the argillaceous sandstone similar materials based on the calculated error values.
The beneficial effects of this application embodiment lie in:
1. adopting an orthogonal test design or a uniform test design method to design a similar material mixing ratio test scheme, and taking whether the consistency and the setting time of the mixture meet the standard requirements or not as constraints to prepare a sample of the muddy sandstone similar material;
2. testing each physical quantity value of the sample, and obtaining an empirical function relation between each physical quantity value and each composition component (mixing ratio) by adopting a weighted regression analysis method based on the measured physical quantity values of the muddy sandstone similar material mixtures with different mixing ratios;
3. the test cost is taken as an objective function, an optimized mathematical model is constructed, and an intelligent algorithm is adopted to calculate and obtain the optimal mixing ratio of each component of the muddy sandstone similar material, so that the test cost is reduced;
4. through the design of the mixing proportion of the similar materials of the argillaceous sandstone, the relation between each component and the physical magnitude of the mixture can be obtained, and the similar materials of the argillaceous sandstone meeting the requirements of an indoor simulation test can be prepared based on a similarity theory, so that the device can be used for testing the side friction resistance of piles or anchor rods in the argillaceous sandstone stratum.
Drawings
For a clearer description of the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the description below are only some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art, wherein:
FIG. 1 is a flow chart of a method for preparing a muddy sandstone similar material according to an embodiment of the present application;
fig. 2 is a structural frame diagram of a preparation system for a muddy sandstone similar material provided in an embodiment of the present application.
In the figure, 1, a physical quantity original value testing module; 2. a physical quantity analog value deriving module; 3. a similar material composition determination module; 4. a mixture testing module; 5. a consistency assessment module; 6. obtaining a module by using an empirical function relation; 7. an optimal mix ratio calculation module; 8. and a fine tuning module.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms first, second and the like in the description and in the claims, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged, as appropriate, such that embodiments of the present application may be implemented in sequences other than those illustrated or described herein, and that the objects identified by "first," "second," etc. are generally of a type and not limited to the number of objects, e.g., the first object may be one or more. Furthermore, in the description and claims, "and/or" means at least one of the connected objects, and the character "/", generally means that the associated object is an "or" relationship.
Referring to fig. 1, an embodiment of the present application provides a method for preparing a argillaceous sandstone similar material, including the following steps:
step S1, determining a target stratum, taking undisturbed rock samples from the target stratum, and testing original values of physical quantities of the undisturbed rock samples;
s2, according to the similarity ratio of the indoor simulation test, deriving the simulation value of each physical quantity in the simulation test by using a similarity theory;
s3, rock and ore identification is carried out on the undisturbed rock sample, the mineral components of the undisturbed rock sample are determined through analysis, and then the components of the argillaceous sandstone similar materials are determined;
s4, designing a mixing ratio test scheme of the muddy sandstone similar materials, preparing a mixture of the muddy sandstone similar materials, and testing the consistencies and the setting times of the mixtures with different mixing ratios;
step S5, whether the consistency meets the requirement is evaluated, if not, the step S4 is executed in a return mode; if yes, executing step S6;
s6, placing the mixture meeting the requirements into a mould to manufacture a sample, sealing and curing the manufactured sample for a period of time, testing each physical quantity value of the sample, and carrying out regression analysis to obtain an empirical functional relation between each physical quantity and composition components of the mixture of the argillaceous sandstone similar material and the sample;
step S7, calculating and determining the optimal mixing ratio of the muddy sandstone similar materials based on an intelligent optimization algorithm;
and S8, calculating an error value between each physical quantity test value of the sample manufactured by the mixture under the optimal mixing ratio and each physical quantity analog value derived by using a similarity theory, fine-tuning the mixing ratio of the argillaceous and sandstone similar materials based on the calculated error value, and fine-tuning the mixing ratio of the argillaceous and sandstone similar materials based on the calculated error value until the error value between each physical quantity test value of the sample manufactured by the fine-tuned mixture and each physical quantity analog value derived by using the similarity theory meets the requirement.
In step S1, the original value of the physical quantity includes the dry density of the undisturbed rock sampleElastic modulus->Uniaxial compressive Strength->And tensile Strength->。
The target formation is determined using the following method:
investigation of diameter of piles or anchors in actual engineeringAccording to the actual condition of the field engineering, determining a target stratum of which the side friction resistance of piles or anchor rods in the muddy sandstone stratum needs to be tested, and calculating the overburden stratum pressure +.>。
In step S2, the physical quantity simulation value comprises the diameter value of the pile or the anchor rod in the indoor simulation testThe value of the overburden stratum pressure>Dry Density value->Elastic modulus value->The uniaxial compressive strength is taken as +.>Tensile strength valueWherein->For the diameter similarity ratio of piles or anchor rods +.>For overburden pressure similarity ratio, +.>Is the dry density similarity ratio, +.>Is the modulus of elasticity similarity>Is of similar ratio of uniaxial compressive strength>Is a tensile strength similarity ratio.
Further described, the diameter similarity ratio of the piles or the anchor rods is set as follows according to the requirements of the indoor simulation testAnd modulus of elasticity of the rubber is ∈>The method comprises the steps of carrying out a first treatment on the surface of the Then derives the similarity ratio of other physical quantities and +.>And->Is the relation of:、/>the method comprises the steps of carrying out a first treatment on the surface of the And further, the simulation values of the physical quantities in the indoor simulation test are derived as follows:、/>、/>、/>、、/>。
in step S3, rock-mineral identification (usually, polarization microscope identification, chemical analysis, X-ray analysis, differential thermal analysis, etc.) is performed on the field undisturbed rock sample, and the mineral composition of the undisturbed rock is determined by analysis; and determining the composition components of the rock similar material according to the main mineral components of the undisturbed rock and considering the similarity and the preparation easiness of the simulated material, wherein the composition components comprise coarse aggregate, fine aggregate, cementing agent, clay mineral, blending agent and additive.
In a specific embodiment, the coarse aggregate is quartz sand; the fine aggregate is one of barite powder and iron concentrate; the cementing agent is one or two of cement and gypsum, wherein the cement is ordinary Portland cement; the clay mineral is one of kaolinite and montmorillonite; the blending agent is water; the additive consists of one or two components of glycerin and gypsum retarder, and can play roles of dispersing, reducing water, retarding, improving crack resistance and the like.
In step S4, designing a mixing ratio test scheme of the argillaceous sandstone similar materials according to an orthogonal test design or a uniform test design method, including:
determining the bone cement ratio, namely the ratio of the mass of the coarse aggregate and the fine aggregate to the mass of the cementing agent is 0.5-3.0;
determining the mass ratio of coarse aggregate to fine aggregate to be 0.4-3.0;
determining the mixing amount of clay mineral, namely, the mixing amount is 5-50% of the total mass ratio of solids;
determining the water-cement ratio, namely the mass ratio of water to cementing agent is 0.5-4;
the mixing amount of the additive is determined, namely, the glycerol accounts for 0.1 to 0.5 percent of the mass ratio of clay minerals, and the gypsum retarder accounts for 0 to 0.5 percent of the mass ratio of gypsum.
In a uniform experimental design scheme, the argillaceous sandstone similar materials comprise quartz powder sand, iron fine powder, gypsum, clay minerals and gypsum retarder.
Because the gypsum is hardened too fast, the gypsum retarder is added according to the proportion of two thousandths of the mass of the gypsum, the gypsum hardening time is delayed, the gypsum is uniformly dispersed, and the convenience and the quality of sample preparation are improved.
The blend ratio uniformity design is shown in table 1 below.
Table 1 design scheme for uniform mixing ratio
In an orthogonal design, the argillaceous sandstone-like materials include quartz silt, barite powder, cement, montmorillonite, and glycerol, with glycerol being incorporated at 0.2% of the clay mineral mass.
The blend ratio orthogonal design is shown in table 2 below.
TABLE 2 mix orthogonal design scheme
Specifically, the following method is adopted to prepare a mixture of the muddy sandstone similar materials:
step 1, sequentially weighing iron fine powder, gypsum retarder, clay mineral and quartz powder sand with corresponding weights, and placing the iron fine powder, gypsum retarder, clay mineral and quartz powder sand in a stirring pot for dry stirring for 1.5-5 min;
it should be noted that the consistencies of the mixtures with different mix ratios were testedAnd clotting time->Wherein the consistency is->The test can be carried out according to a diving table method or a cone penetration method, and the test procedures JTG 3420-2020 of highway engineering cement and cement concrete are referred.
And 2, weighing water with corresponding weight, slowly adding the water into a stirring pot for wet mixing for 1.5-5min in three times.
The mixed mixture is poured into the mould for three times, the mould filled with the mixture is placed on a vibrating table for vibration every time, and the vibration can be stopped without bubbles on the surface of the mixture. After the last vibration is finished, scraping the surface of the material by a scraper, packaging the sample by a preservative film, and curing in a sealed environment.
And after the sample reaches a certain strength (the concrete material is 24 h), demolding is carried out, and then the sample is placed in a sealed environment for curing 14d.
After curing for 14d, a sample is obtained, and each physical value of the sample, namely the dry density of the similar material, is tested in a roomElastic modulus->Uniaxial compressive Strength->And tensile Strength->Wherein dry Density->The uniaxial compressive strength is measured according to the standard DZ/T0276.4 recommended method of geological mineral industry of the people's republic of China>And modulus of elasticity->Tensile Strength +.>Measured according to the DZ/T0276.21 recommended method.
In step S6, the consistencies of the argillaceous sandstone similar material mixtures are based on the measured different mix ratiosClotting time->And dry Density of the sample->Elastic modulus->Uniaxial compressive Strength->And tensile Strength->And obtaining the empirical functional relation between the values and the components (mixing ratio) of the muddy sandstone similar materials by adopting a weighted regression analysis method:
；
in the method, in the process of the invention,is the consistency of the mixture; />Is the clotting time; />WhereinIs made of a muddy sandstone similar material;sis the content (ratio) of the constituent components;and->As a polynomial function.
In step S7, the optimal mixing ratio of the muddy sandstone similar materials is calculated and determined based on an intelligent optimization algorithm, and the method specifically comprises the following steps:
taking the consistency and the setting time of the muddy sandstone similar material mixture to meet the test operation requirement, and the physical quantity of the similar material sample to be equal to the simulation value of each physical quantity in the simulation test derived according to the similar theoretical analysis as constraint conditions, and constructing the following optimized mathematical model by using the test cost objective function:
；
in the method, in the process of the invention,is the total cost; />Is an objective function; />The price coefficient of the ith component obtained by conversion according to the market price is i is a positive integer; other symbols are the same as before;
because the optimization mathematical model is a complex optimization problem containing both equality and inequality constraints, the optimization mathematical model is converted into the following unconstrained optimization function form by adopting an outer point penalty function method for solving the complex optimization problem:
；
in the method, in the process of the invention,ras penalty factors, from small to large and approaching +.；rIs +.>WhereincTo increment the coefficients, we generally takec=5-10；
Solving the optimization problem by adopting an ant colony optimization search algorithm to obtain an optimal solutionI.e. the calculated optimal mixing ratio of the components of the argillaceous sandstone-like material is +.>。
The ant colony optimization search algorithm comprises the following calculation steps:
step 1, initializing:
nc¬ number of iterations;m¬ ants;(smaller positive constant);
(external circulation);
step 2, for each antkIn the variableXRandomly generating a solution within a defined range of (2)And calculates the corresponding evaluation function value, i.e. objective function value +.>；
Currently best evaluation function value,/>Correspond to->A kind of electronic deviceX；
Step 3, placingThe method comprises the steps of carrying out a first treatment on the surface of the (internal circulation);
step 4. For each antk：
According to probability of transitionWill->Replaced by->，/>Wherein Q is the pheromone left by the unit ants;
in the neighborhood radiusFor->Local search, update->And->；
Step 5, placing；
Step 6, ifs<The preset times are less than or equal tonc(self-defining), then go to step 4;
step 7, for each antk：；/>；
And 8, step 8.；
Step 9.Countcount+1; if it is<ncStep 2 is carried out;
step 10. OutputAnd->；
For the followingmRandomly distributed ants, antsiTo antsjThe calculation method of the transition probability of (2) is as follows:
；/>
in the method, in the process of the invention,is antjThe number of pheromones in the neighborhood,j=1、2、…、m；/>、/>is a non-negative parameter, preferably；/>Wherein->And->Respectively ants of antsiAnd antjI.e. the objective function value.
In step S8, the error value is calculated by the following method:
according to the optimal mixing ratio of the components of the muddy sandstone similar materials obtained by optimization analysisAnd preparing a mixture according to step S4 and testing the consistency of the mixture>And clotting time->；
Preparing a sample and measuring the dry density of the sampleElastic modulus->Uniaxial compressive StrengthAnd tensile Strength->A value;
calculating error values between each physical quantity test value of a sample prepared by the mixture under the optimal mixing ratio and each physical quantity simulation value derived by using a similarity theory, namely:
dry density error:；
elastic modulus error:；
uniaxial compressive strength error:；
tensile strength error:。
referring to fig. 2 again, the embodiment of the application also provides a preparation system of the muddy sandstone similar material for implementing the method, which comprises a physical quantity original value test module 1, a physical quantity analog value deriving module 2, a similar material composition determining module 3, a mixture test module 4, a consistency evaluation module 5, an empirical function relation deriving module 6, an optimal blending ratio calculating module 7 and a fine tuning module 8.
And the physical quantity original value testing module 1 is used for determining a target stratum, taking an undisturbed rock sample from the target stratum and testing the original values of the physical quantities.
And the physical quantity analog value deriving module 2 is used for deriving each physical quantity analog value in the simulation test by utilizing the similarity theory according to the similarity ratio of the indoor simulation test.
And the similar material composition determining module 3 is used for carrying out rock-ore identification on the undisturbed rock sample, analyzing and determining mineral compositions of the undisturbed rock sample, and then determining the composition of the argillaceous sandstone similar material.
And the mixture testing module 4 is used for designing a mixing ratio test scheme of the muddy sandstone similar materials, preparing the mixture of the muddy sandstone similar materials, and testing the consistencies and the setting times of the mixtures with different mixing ratios.
A consistency assessment module 5 for assessing whether the consistency meets the requirements.
And the empirical functional relation obtaining module 6 is used for testing each physical quantity of the sample, and regression analysis is carried out to obtain the empirical functional relation between each physical quantity and the composition of the mixture of the argillaceous sandstone similar materials and the sample.
And the optimal matching ratio calculation module 7 is used for calculating and determining the optimal matching ratio of the muddy sandstone similar materials based on an intelligent optimization algorithm.
And a fine adjustment module 8 for calculating an error value between each physical quantity test value of the sample with an optimal blending ratio and each physical quantity analog value derived by using a similarity theory, and fine-adjusting the blending ratio of the muddy sandstone-like similar material based on the calculated error value.
The beneficial effects of this application embodiment lie in:
1. adopting an orthogonal test design or a uniform test design method to design a similar material mixing ratio test scheme, and taking whether the consistency and the setting time of the mixture meet the standard requirements or not as constraints to prepare a sample of the muddy sandstone similar material;
2. testing each physical quantity value of the sample, and obtaining an empirical function relation between each physical quantity value and each component (mixing ratio) by adopting a weighted regression analysis method based on the measured physical quantity values of the muddy sandstone similar material mixtures with different mixing ratios;
3. the test cost is taken as an objective function, an optimized mathematical model is constructed, and an intelligent algorithm is adopted to calculate and obtain the optimal mixing ratio of each component of the muddy sandstone similar material, so that the test cost is reduced;
4. through the design of the mixing proportion of the similar materials of the argillaceous sandstone, the relation between each component and the physical magnitude of the mixture can be obtained, and the similar materials of the argillaceous sandstone meeting the requirements of an indoor simulation test can be prepared based on a similarity theory, so that the device can be used for testing the side friction resistance of piles or anchor rods in the argillaceous sandstone stratum.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Furthermore, it should be noted that the scope of the methods and systems in the embodiments of the present application is not limited to performing the functions in the order shown or discussed, but may also include performing the functions in a substantially simultaneous manner or in an opposite order depending on the functions involved, e.g., the described methods may be performed in an order different from that described, and various steps may also be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those of ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are also within the protection of the present application.
Claims (10)
1. The preparation method of the argillaceous sandstone similar material is characterized by comprising the following steps of:
step S1, determining a target stratum, taking undisturbed rock samples from the target stratum, and testing original values of physical quantities of the undisturbed rock samples;
s2, according to the similarity ratio of the indoor simulation test, deriving the simulation value of each physical quantity in the simulation test by using a similarity theory;
s3, rock and ore identification is carried out on the undisturbed rock sample, the mineral components of the undisturbed rock sample are determined through analysis, and then the components of the argillaceous sandstone similar materials are determined;
s4, designing a mixing ratio test scheme of the muddy sandstone similar materials, preparing a mixture of the muddy sandstone similar materials, and testing the consistencies and the setting times of the mixtures with different mixing ratios;
step S5, whether the consistency meets the requirement is evaluated, if not, the step S4 is executed in a return mode; if yes, executing step S6;
s6, placing the mixture meeting the requirements into a mould to manufacture a sample, sealing and curing the manufactured sample for a period of time, and then testing each physical quantity value of the sample, and carrying out regression analysis to obtain an empirical function relation between each physical quantity and composition components of the mixture of the argillaceous sandstone similar material and the sample;
step S7, calculating and determining the optimal mixing ratio of the muddy sandstone similar materials based on an intelligent optimization algorithm;
and S8, calculating error values between each physical quantity test value of the sample prepared by the mixture under the optimal mixing ratio and each physical quantity analog value derived by using a similarity theory, and fine-tuning the mixing ratio of the argillaceous sandstone similar materials based on the calculated error values.
2. The method of claim 1, wherein in step S1, the target formation is determined using the following method:
investigation of diameter of piles or anchors in actual engineeringAccording to the actual condition of the field engineering, determining a target stratum of which the side friction resistance of piles or anchor rods in the muddy sandstone stratum needs to be tested, and calculating the overburden stratum pressure +.>。
3. The method according to claim 2, wherein in step S1, the original value of the physical quantity comprises the dry density of the undisturbed rock sampleElastic modulus->Uniaxial compressive Strength->And tensile Strength->The method comprises the steps of carrying out a first treatment on the surface of the In the step S2, the physical quantity simulation value comprises the diameter value of the pile or the anchor rod in the indoor simulation test +.>Overburden formation pressure take-offDry Density value->Elastic modulus value->The uniaxial compressive strength is taken as +.>Tensile Strength value->Wherein->For the diameter similarity ratio of piles or anchor rods +.>For overburden pressure similarity ratio, +.>Is the dry density similarity ratio, +.>Is the modulus of elasticity similarity>Is of similar ratio of uniaxial compressive strength>Is a tensile strength similarity ratio.
4. A method according to claim 3, wherein in step S3, the argillaceous sandstone-like material composition comprises aggregate, binder, clay mineral, blending agent, and admixture, wherein:
the aggregate comprises coarse aggregate and fine aggregate;
the coarse aggregate is quartz sand;
the fine aggregate is one of barite powder and iron concentrate;
the cementing agent is one or two of cement and gypsum, wherein the cement is ordinary Portland cement;
the clay mineral is one of kaolinite and montmorillonite;
the blending agent is water;
the additive is one or two of glycerin and gypsum retarder.
5. The method according to claim 4, wherein in step S4, the muddy sandstone-like material mix ratio test scheme is designed according to an orthogonal test design or a uniform test design method, comprising:
determining the bone cement ratio, namely the ratio of the mass of the coarse aggregate and the fine aggregate to the mass of the cementing agent is 0.5-3.0;
determining the mass ratio of coarse aggregate to fine aggregate to be 0.4-3.0;
determining the mixing amount of clay mineral, namely, the mixing amount is 5-50% of the total mass ratio of solids;
determining the water-cement ratio, namely the mass ratio of water to cementing agent is 0.5-4;
the mixing amount of the additive is determined, namely, the glycerol accounts for 0.1 to 0.5 percent of the mass ratio of clay minerals, and the gypsum retarder accounts for 0 to 0.5 percent of the mass ratio of gypsum.
6. The method according to claim 5, wherein in step S4, the following method is used to prepare the mixture of the argillaceous sandstone-like materials:
sequentially weighing coarse aggregate, fine aggregate, cementing agent and clay mineral with corresponding weights, and placing in a stirring pot for dry stirring for 1.5-5 min;
then weighing water with corresponding weight, adding the water into a stirring pot for wet mixing for 1.5-5 min.
7. The method according to claim 5 or 6, wherein in step S6, the empirical functional relation is:
；
in the method, in the process of the invention,is the consistency of the mixture; />Is the clotting time; />Wherein->Is made of a muddy sandstone similar material;sis the content of the constituent components; />Andas a polynomial function.
8. The method according to claim 7, wherein in step S7, the optimal blending ratio of the muddy sandstone similar materials is calculated and determined based on the intelligent optimization algorithm, and specifically comprises the following steps:
taking the consistency and the setting time of the muddy sandstone similar material mixture to meet the test operation requirement, and the physical quantity of the similar material sample to be equal to the simulation value of each physical quantity in the simulation test derived according to the similar theoretical analysis as constraint conditions, and constructing the following optimized mathematical model by using the test cost objective function:
；
in the method, in the process of the invention,is the total cost; />Is an objective function; />The price coefficient of the ith component obtained by conversion according to the market price;
an external point punishment function method is adopted to convert the optimized mathematical model into the following unconstrained optimized function form:
；
in the method, in the process of the invention,ras penalty factors, from small to large and approaching +.；rIs +.>WhereincTo increment the coefficient, takec=5-10；
Solving by adopting an ant colony optimization search algorithm to obtain an optimal solutionI.e. the calculated optimal mixing ratio of the components of the argillaceous sandstone-like material is +.>。
9. The method according to claim 8, characterized in that in step S8, the error value is calculated by the following method:
according to the optimal mixing ratio of the components of the muddy sandstone similar materials obtained by optimization analysisThe mixture was formulated and tested for consistency>And clotting time->；
Preparing a sample and measuring the dry density of the sampleElastic modulus->Uniaxial compressive Strength->And tensile Strength->A value;
calculating error values between each physical quantity test value of a sample prepared by the mixture under the optimal mixing ratio and each physical quantity simulation value derived by using a similarity theory, namely:
dry density error:；
elastic modulus error:；
uniaxial compressive strength error:；
tensile strength error:。
10. a muddy sandstone-like material preparation system for carrying out the method of any of claims 1 to 9, comprising:
the physical quantity original value testing module is used for determining a target stratum, taking undisturbed rock samples from the target stratum and testing original values of various physical quantities;
the physical quantity analog value deriving module is used for deriving each physical quantity analog value in the simulation test by utilizing a similarity theory according to the similarity ratio of the indoor simulation test;
the similar material composition determining module is used for carrying out rock-ore identification on the undisturbed rock sample, analyzing and determining mineral compositions of the undisturbed rock sample, and then determining the composition of the argillaceous sandstone similar material;
the mixture testing module is used for designing a mixing ratio test scheme of the muddy sandstone similar materials, preparing the mixture of the muddy sandstone similar materials, and testing the consistencies and the setting time of the mixture with different mixing ratios;
a consistency assessment module for assessing whether a consistency meets a requirement;
the empirical function relation obtaining module is used for testing each physical quantity value of the sample, and obtaining an empirical function relation between each physical quantity and composition components of the mixture of the argillaceous sandstone similar material and the sample through regression analysis;
the optimal mix ratio calculation module is used for calculating and determining the optimal mix ratio of the muddy sandstone similar materials based on an intelligent optimization algorithm;
and the fine adjustment module is used for calculating error values between each physical quantity test value of the sample prepared by the mixture under the optimal mixing ratio and each physical quantity analog value derived by utilizing the similarity theory, and carrying out fine adjustment on the mixing ratio of the argillaceous sandstone similar materials based on the calculated error values.
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