CN114890739A - Filling body and mechanical property prediction method thereof - Google Patents

Filling body and mechanical property prediction method thereof Download PDF

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Publication number
CN114890739A
CN114890739A CN202210503640.9A CN202210503640A CN114890739A CN 114890739 A CN114890739 A CN 114890739A CN 202210503640 A CN202210503640 A CN 202210503640A CN 114890739 A CN114890739 A CN 114890739A
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filling body
slag
filling
curing
tensile strength
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吴生海
陈波
张蓓
许茜
吴志强
姚亚锋
刘洋
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Nantong Vocational College
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Nantong Vocational College
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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
    • 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
    • C04B14/00—Use of inorganic materials as fillers, e.g. pigments, for mortars, concrete or artificial stone; Treatment of inorganic materials specially adapted to enhance their filling properties in mortars, concrete or artificial stone
    • C04B14/38—Fibrous materials; Whiskers
    • C04B14/42—Glass
    • 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
    • C04B16/00—Use of organic materials as fillers, e.g. pigments, for mortars, concrete or artificial stone; Treatment of organic materials specially adapted to enhance their filling properties in mortars, concrete or artificial stone
    • C04B16/04—Macromolecular compounds
    • C04B16/06—Macromolecular compounds fibrous
    • C04B16/0616—Macromolecular compounds fibrous from polymers obtained by reactions only involving carbon-to-carbon unsaturated bonds
    • C04B16/0625—Polyalkenes, e.g. polyethylene
    • C04B16/0633—Polypropylene
    • 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
    • C04B18/00—Use of agglomerated or waste materials or refuse as fillers for mortars, concrete or artificial stone; Treatment of agglomerated or waste materials or refuse, specially adapted to enhance their filling properties in mortars, concrete or artificial stone
    • C04B18/04—Waste materials; Refuse
    • C04B18/12—Waste materials; Refuse from quarries, mining or the like
    • 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
    • C04B18/00—Use of agglomerated or waste materials or refuse as fillers for mortars, concrete or artificial stone; Treatment of agglomerated or waste materials or refuse, specially adapted to enhance their filling properties in mortars, concrete or artificial stone
    • C04B18/04—Waste materials; Refuse
    • C04B18/14—Waste materials; Refuse from metallurgical processes
    • C04B18/141—Slags
    • 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
    • G01N1/36—Embedding or analogous mounting of samples
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/38—Concrete; Lime; Mortar; Gypsum; Bricks; Ceramics; Glass
    • G01N33/383—Concrete or cement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • 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
    • C04B2111/00—Mortars, concrete or artificial stone or mixtures to prepare them, characterised by specific function, property or use
    • C04B2111/00017—Aspects relating to the protection of the environment
    • 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
    • C04B2111/00—Mortars, concrete or artificial stone or mixtures to prepare them, characterised by specific function, property or use
    • C04B2111/00474—Uses not provided for elsewhere in C04B2111/00
    • C04B2111/00724—Uses not provided for elsewhere in C04B2111/00 in mining operations, e.g. for backfilling; in making tunnels or galleries
    • C—CHEMISTRY; METALLURGY
    • C04—CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
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    • C04B2111/00—Mortars, concrete or artificial stone or mixtures to prepare them, characterised by specific function, property or use
    • C04B2111/70—Grouts, e.g. injection mixtures for cables for prestressed concrete
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    • C04—CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
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    • C04B2201/00—Mortars, concrete or artificial stone characterised by specific physical values
    • C04B2201/50—Mortars, concrete or artificial stone characterised by specific physical values for the mechanical strength
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N1/00—Sampling; Preparing specimens for investigation
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    • G01N1/36—Embedding or analogous mounting of samples
    • G01N2001/366—Moulds; Demoulding
    • G—PHYSICS
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Abstract

The invention provides a filling body, which comprises the following components in percentage by mass: lime and sand: 60 to 80 percent; slag: 0 to 20 percent; polypropylene fiber and glass fiber blend: 0 to 5 percent. The invention also provides a mechanical property prediction method of the filling body, which comprises the steps of designing a three-factor four-level orthogonal experiment of the contents of the polypropylene fiber, the glass fiber and the slag, and testing the slump, the compressive strength and the splitting tensile strength of the filling body; preparing a plurality of filling body samples, scraping the surfaces, demolding after 20-32h, and then placing the filling body samples in a curing box for curing, wherein the curing temperature is 18-26 ℃, and the curing humidity is 85-96%; uniaxial compressive strength and split tensile tests were performed on the pack. The regression model of the compression resistance, the tensile strength and the slump built based on the experimental data can well predict the compression resistance, the tensile strength and the slump of the filling, and can also provide certain technical guidance for parameter design of the mine filling.

Description

Filling body and mechanical property prediction method thereof
Technical Field
The invention belongs to the technical field of engineering materials, and particularly relates to a filling body and a mechanical property prediction method thereof.
Background
At present, the exploitation of deep well mining resources is influenced by factors such as high ground stress, high well temperature, exploitation disturbance and the like, the stability of underground surrounding rock mass is poor, and how to efficiently and safely recover the deep well mining resources becomes the most concerned problem of many mining enterprises at home and abroad. The filling mining method is widely applied as an efficient stoping method which can better ensure the safety of underground ore body resources. Therefore, the mechanical properties of the filling body become a very important issue for many mine science and technology workers in China. The cemented filling body commonly used in engineering is mainly prepared by mixing aggregate, cement and water, and the mechanical property of the cemented filling body is influenced by a plurality of factors, such as admixture, aggregate gradation, cementing material content and the like. Aiming at the cemented filling body, various scholars develop the research on the mechanical property and relevant influence factors, and the obtained research results solve a plurality of practical engineering problems.
The cementing filling body commonly used in the engineering at present is mainly prepared by mixing aggregate, cement and water, and has higher price and lower mechanical property, particularly tensile property.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a filling body and a mechanical property prediction method thereof, wherein active industrial waste slag is adopted to replace part of cement, and quantitative polypropylene fiber and glass fiber are added, so that the mechanical property and the working property of the filling body are improved, the resource recycling is realized, and the market price is reduced. The regression model of the compression resistance, the tensile strength and the slump built based on the experimental data can well predict the compression resistance, the tensile strength and the slump of the filling, and can also provide certain technical guidance for parameter design of the mine filling.
In order to solve the technical problem, an embodiment of the present invention provides a filling body, where the filling body includes the following components by mass:
lime and sand: 60 to 80 percent;
slag: 0 to 20 percent;
polypropylene fiber and glass fiber blend: 0 to 5 percent.
The mortar is a mixture of tailings and cement, and the mass ratio of the tailings to the cement is 1: 2-5.
Preferably, the cement is composite portland cement.
Preferably, the polypropylene fiber has a length of 3-6mm and a tensile strength UCS>350MPa, modulus of elasticity E>3.5GPa and a density of 0.88-0.97g/m 3 And the elongation is 28 percent.
The length of the glass fiber is 3-9mm, and the tensile strength UCS>350MPa, modulus of elasticity E>4.8GPa and a density of 0.83-0.95g/m 3 And elongation 33%.
The invention provides a mechanical property prediction method of a filling body, which comprises the following steps:
s1, designing a three-factor four-level orthogonal experiment of the contents of polypropylene fibers, glass fibers and slag, and carrying out slump test, compressive strength test and splitting tensile strength test of the filling body;
s2, mixing the lime sand, the mixture of polypropylene fibers and glass fibers, slag and water according to different proportions to prepare a plurality of samples, filling slurry into a cylindrical plastic mold with the diameter of 50mm, the height of 100mm and the height of 50mm, scraping the surface after the slurry is initially set, demolding after 20-32h, and then placing the filling sample into a curing box for curing, wherein the curing temperature is 18-26 ℃, and the curing humidity is 85-96%;
s3, performing uniaxial compressive strength and splitting tensile test on the filling body after the curing age reaches the specified days;
s4, analyzing the influence of the slag, the polypropylene fiber and the glass fiber mixture on the flowability of the filling body by using a slump measuring method.
The maintenance ages in step S3 include 3d, 7d, and 28 d.
In step S3, the method for performing uniaxial compressive strength and split tensile test on the filling body includes: establishing a multi-factor nonlinear regression model considering factor interaction, wherein the expression of the model is shown as the formula (1):
Figure BDA0003635198370000031
wherein y represents the tensile strength of the filler, MPa, respectively; compressive strength, MPa; slump, cm; x is the number of 1 Polypropylene fiber,%; x is the number of 2 Glass fiber,%; x is the number of 3 Slag mixing amount,%; b k Is the regression coefficient of the model, where k ═ (1,2,3, …, 10).
Further, aiming at the compression-resistant and tensile-resistant data of the filling body at 3d, 7d and 28d, a multi-factor regression model is constructed by utilizing the self-defined model plate function of SPSS software, and the regression coefficient b of the regression equation is solved according to orthogonal test data k 。
The technical scheme of the invention has the following beneficial effects:
1. the invention provides a filling body and a mechanical property prediction method thereof, wherein data obtained by an orthogonal test is brought into a regression model by combining an established regression model of compression strength, tensile strength and slump of the filling body, the maximum error between the predicted values and the measured values of the compression strength of 3d, 7d and 28d of the filling body is 1.0-6.0%, the error between the tensile strength of 28d of the filling body is 4.0-7.5%, and the error between the slump of filling slurry is 5.0-8.5%, which indicates that the established model can accurately predict the flow property of the slurry. Therefore, the measured values and the predicted values of slump, compressive strength and tensile strength are combined to show that the prediction model has better precision, and certain guidance can be provided for the practical design of field engineering.
2. The filling body prepared by the invention has low price which is 10-15% lower than the market price, and good mechanical properties such as fluidity, compressive strength, tensile strength and the like, and accords with the concept of green and safe mining.
Drawings
FIG. 1 is a data curve diagram of measured and predicted values of compressive and tensile strengths of a filling body according to the present invention;
FIG. 2 is a graph showing the measured and predicted slump values of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is made with reference to the accompanying drawings and specific embodiments.
The invention provides a filling body, which comprises the following components in percentage by mass:
ash and sand: 60 to 80 percent;
the mortar is a mixture of tailings and cement, the mass ratio of the tailings to the cement is 1:2-5, and preferably the mass ratio of the tailings to the cement is 1: 4.
Slag: 0 to 20 percent;
polypropylene fiber and glass fiber blend: 0 to 5 percent.
The slag is added in a mode of replacing part of cement with equal mass.
Preferably, the graded tailing slurry used in the invention is taken from a certain domestic metal mine, and is dried in the sun and then bagged for later use. The type of the selected cement is composite Portland cement P.C32.5.
The length of the polypropylene fiber is 3-6mm, and the tensile strength UCS>350MPa, modulus of elasticity E>3.5GPa and a density of 0.88-0.97g/m 3 And the elongation is 28 percent.
The length of the glass fiber is 3-9mm, and the tensile strength UCS>350MPa, modulus of elasticity E>4.8GPa and a density of 0.83-0.95g/m 3 And elongation 33%.
The invention provides a mechanical property prediction method of a filling body, which comprises the following steps:
s1, designing a three-factor four-level orthogonal experiment of the contents of polypropylene fibers, glass fibers and slag, and carrying out slump test, compressive strength test and splitting tensile strength test of the filling body;
s2, mixing the lime sand, the mixture of the polypropylene fiber and the glass fiber, the slag and the water according to different proportions to prepare a plurality of samples, scraping the surfaces, demolding after 20-32h, and then placing the filler samples into a curing box for curing, wherein the curing temperature is 18-26 ℃, and the curing humidity is 85-96%;
s3, performing uniaxial compressive strength and splitting tensile test on the filling body after the curing age reaches the specified days;
s4, analyzing the influence of the slag, the polypropylene fiber and the glass fiber mixture on the fluidity of the filler by using slump test.
The maintenance ages in step S3 include 3d, 7d, and 28 d.
In step S3, the method of performing uniaxial compressive strength and split tensile test on the filling body is: establishing a multi-factor nonlinear regression model considering factor interaction, wherein the expression of the model is shown as the formula (1):
Figure BDA0003635198370000061
wherein y represents the tensile strength of the filler, MPa, respectively; compressive strength, MPa; slump, cm; x is the number of 1 Polypropylene fiber,%; x is the number of 2 Glass fiber,%; x is the number of 3 Slag mixing amount,%; b k Regression system as modelAnd (d) wherein k is (1,2,3, …, 10).
Aiming at the compression-resistant and tensile-resistant data of the filling body at 3d, 7d and 28d, a multi-factor regression model is constructed by utilizing the self-defined model plate function of SPSS software, and the regression coefficient b of the regression equation is solved according to orthogonal test data k 。
The technical scheme of the invention is further illustrated by the following specific examples.
In order to research the influence of the content of the polypropylene fiber, the glass fiber and the slag on the mechanical property of the filling body, a three-factor four-level orthogonal experiment of the content of the polypropylene fiber, the content of the glass fiber and the content of the slag is designed, and slump test, compressive strength test and splitting tensile strength test of the filling body of the polypropylene fiber-glass fiber/slag are carried out. The test factors and levels are three-factor four levels, the three factors are respectively polypropylene fiber (A), glass fiber (B) and slag (C), and the specific values of the levels of the factors are shown in the specification of 1.
Table 1:
Figure BDA0003635198370000062
Figure BDA0003635198370000071
tailings, cement, fiber, slag and water were mixed according to different proportions shown in table 1 to prepare samples. The surface was gently scraped off and after 24 hours a release treatment was carried out. And placing the filling body sample in a curing box for curing, wherein the curing temperature is 20 ℃ and the humidity is 93%. After the curing age reaches the specified 3d, 7d and 28d, the uniaxial compression strength test and the splitting tensile test are carried out on the filling body by referring to the standard of the test method of the mechanical property of the common concrete (GB/T50081-2002).
Slump test: the influence of fiber and slag on the fluidity of the tailings cemented filling was analyzed, and the slump test was originally developed for fluidity determination by a standard slump instrument which is a conical cylinder 30cm in height with an upper diameter of 10cm and a bottom diameter of 20 cm. Filling the filling body for three times, uniformly impacting 25 parts of the filling body along the barrel wall from outside to inside after each filling, tamping and leveling; and pulling up the barrel, wherein the concrete generates a slump phenomenon due to self weight, and the slump of the filling body is obtained by subtracting the height of the highest point of the slump concrete from the height (300mm) of the barrel.
And (3) testing the compressive strength and the tensile strength: adopt diameter 50mm, highly be 100 mm's cylinder sample to carry out the test of tailings cemented filling body unipolar compressive strength, and the unipolar tensile strength test of the filling body adopts the diameter to be 50mm, highly is 50 mm's cylinder sample to carry out the test of unipolar splitting tensile strength. The testing equipment adopts an WEW-600D type microcomputer screen display hydraulic universal testing machine, the maximum load is 600kN, the precision is +/-1 percent, the resolution is 0.1kN, and uniaxial compression and tensile strength tests are carried out on the fiber reinforced filling body sample. And (3) slightly polishing the test piece by using sand paper before loading to ensure that the upper surface and the lower surface of the tailing cemented filling body are smooth and flat, adopting displacement control in a single-shaft compression and tensile test loading mode, testing 3 test blocks in each maintenance age period, and taking the average value of the test blocks as compression and tensile strength test data.
When the prepared polypropylene fiber-glass fiber/slag pack reached the design age, tests for compressive strength (UCS) and Tensile Strength (TS) were performed, wherein the samples of group S-1 indicated that no fiber and slag were added, and the results of the performance test thereof are shown in table 2.
Table 2:
Figure BDA0003635198370000081
the comparison of the detection results shows that:
1. the slump of the filling body is continuously reduced along with the increase of the contents of the polypropylene fiber, the glass fiber and the slag, and the slump of the tailing filling slurry is influenced by the three factors to the extent that the slump is larger than the mixing amount of the polypropylene fiber, the glass fiber and the slag.
2. In different curing ages, the influence of the mixing amount of the polypropylene fiber, the glass fiber and the slag on the compressive strength of the filling body is inconsistent. When the curing age is 3d, the influence degree of the three factors on the compressive strength of the tailing cemented filling body is polypropylene fiber, glass fiber and slag; at the curing ages of 7d and 28d, the three factors influence the compressive strength of the tailing cemented filling body to the extent that the slag mixing amount is larger than that of glass fiber and that of polypropylene fiber.
3. The tensile strength of the filling body added with the polypropylene fiber, the glass fiber and the slag is obviously higher than that of the filling body without the fiber and the slag, which shows that the tensile strength of the filling body can be effectively improved by adding a certain amount of the fiber and the slag, but the improvement of the tensile strength of the filling body by the slag is not obvious by adding the polypropylene and the glass fiber.
The results of orthogonal tests show that the mixing amount of the polypropylene fiber, the glass fiber and the slag can affect the compression strength, the tensile strength and the slump of the polypropylene fiber-glass fiber/slag filling body to different degrees.
In order to accurately analyze the influence of the mixing amount of the polypropylene fiber, the glass fiber and the slag on the compression strength and the tensile strength of the filling body, the invention establishes a multi-factor nonlinear regression model considering the interaction of factors, and the expression of the model is shown as the formula (1):
Figure BDA0003635198370000091
in the formula: y represents the tensile strength of the filling body, MPa; compressive strength, MPa; slump, cm; x is the number of 1 Polypropylene fiber,%; x is the number of 2 Glass fiber,%; x is the number of 3 Slag mixing amount,%; b k Is the regression coefficient of the model, where k ═ (1,2,3, …, 10).
Aiming at the compression resistance and tensile resistance data of the polypropylene fiber-glass fiber/slag filling body at 3d, 7d and 28d, a multi-factor regression model is constructed by utilizing the self-defined model plate function of SPSS software, and the regression coefficient of an equation is solved according to orthogonal test data, so that the compression resistance, tensile strength and slump regression model of the cemented filling body is shown as formulas (2) to (6):
3d compressive strength regression model of polypropylene fiber-glass fiber/slag filling body:
Figure BDA0003635198370000101
regression model of 7d compressive strength of polypropylene fiber-glass fiber/slag filling body:
Figure BDA0003635198370000102
regression model for compressive strength of polypropylene fiber-glass fiber/slag pack 28 d:
Figure BDA0003635198370000103
regression model of tensile strength of polypropylene fiber-glass fiber/slag pack 28 d:
Figure BDA0003635198370000104
slump regression model of polypropylene fiber-glass fiber/slag filling slurry:
Figure BDA0003635198370000105
the data obtained by the orthogonal test are brought into the regression model by combining the established regression model of the compression strength, the tensile strength and the slump of the polypropylene fiber-glass fiber/slag filling body, and the predicted values and the measured values of the compression strength and the tensile strength of the polypropylene fiber-glass fiber/slag filling body are obtained as shown in table 3. Wherein, the measured values of compression resistance, tensile strength and slump of the filling body are shown in table 2, and the predicted values are obtained by respectively substituting the contents of polypropylene fiber (A%), glass fiber (B%) and slag (C%) in table 2 into regression model formulas (2) - (6).
Table 3:
Figure BDA0003635198370000111
the predicted value and the actual value of the compressive strength and the tensile strength of the polypropylene fiber-glass fiber/slag filling are shown in fig. 1 (wherein, fig. 1a is a 3d compressive strength curve, fig. 1b is a 7d compressive strength curve, fig. 1c is a 28d compressive strength curve, and fig. 1d is a 28d tensile strength curve), and the predicted value and the actual value of the slump are shown in fig. 2.
The change rule of the measured value and the predicted value can be seen as follows: the maximum error between the predicted values and the measured values of the compressive strength of the 3d, 7d and 28d of the filling bodies is 1.0-6.0%, the error between the tensile strength of the 28d of the filling bodies is 4.0-7.5%, and the error between the slump of the filling slurry is 5.0-8.5%, which shows that the constructed model can accurately predict the flow performance of the slurry. Therefore, the measured values and the predicted values of slump, compressive strength and tensile strength are combined to show that the prediction model has better precision, and certain guidance can be provided for the practical design of field engineering.
The filling body prepared by the invention adopts the active industrial waste slag to replace part of cement, and quantitative polypropylene fiber and glass fiber are added, so that the mechanical property and the working property of the filling body are improved, the resource reutilization is realized, and the market price is reduced. The filling body prepared by the invention has low price and good mechanical properties such as fluidity, compressive strength, tensile strength and the like, and accords with the concept of green and safe mining. And establishing a strength model of the polypropylene fiber-glass fiber/slag filling body under the multi-factor coupling effect, analyzing the influence rule of each influence factor on the compression strength and the tensile strength of the filling body, and providing a certain guidance for parameter design of the mine filling material.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (9)

1. The filling body is characterized by comprising the following components in percentage by mass:
lime and sand: 60 to 80 percent;
slag: 0 to 20 percent;
polypropylene fiber and glass fiber blend: 0 to 5 percent.
2. The filling body of claim 1, wherein the mortar is a mixture of tailings and cement, and the mass ratio of the tailings to the cement is 1: 2-5.
3. The filling body according to claim 2, wherein the cement is a composite portland cement.
4. The filling body of claim 1, wherein the polypropylene fibers have a length of 3-6mm and a tensile strength UCS>350MPa, modulus of elasticity E>3.5GPa and a density of 0.88-0.97g/m 3 And the elongation is 28 percent.
5. The filling body of claim 1, wherein the glass fibers have a length of 3-9mm and a tensile strength UCS>350MPa, modulus of elasticity E>4.8GPa and a density of 0.83-0.95g/m 3 And elongation 33%.
6. A method for predicting the mechanical properties of a filling body according to claim 1, comprising the steps of:
s1, designing a three-factor four-level orthogonal experiment of the contents of polypropylene fibers, glass fibers and slag, and carrying out slump test, compressive strength test and splitting tensile strength test of the filling body;
s2, mixing the lime sand, the mixture of polypropylene fibers and glass fibers, slag and water according to different proportions to prepare a plurality of samples, filling slurry into a cylindrical plastic mold with the diameter of 50mm, the height of 100mm and the height of 50mm, scraping the surface after the slurry is initially set, demolding after 20-32h, and then placing the filling sample into a curing box for curing, wherein the curing temperature is 18-26 ℃, and the curing humidity is 85-96%;
s3, performing uniaxial compressive strength and splitting tensile test on the filling body after the curing age reaches the specified days;
s4, analyzing the influence of the slag, the polypropylene fiber and the glass fiber mixture on the fluidity of the filler by using slump test.
7. The method for predicting mechanical properties of a filling body according to claim 6, wherein the curing age in step S3 includes 3d, 7d and 28 d.
8. A method for predicting mechanical properties of a filling body according to claim 6, wherein in step S3, the method for performing uniaxial compressive strength and split tensile tests on the filling body comprises: establishing a multi-factor nonlinear regression model considering factor interaction, wherein the expression of the model is shown as the formula (1):
Figure FDA0003635198360000021
wherein y represents the tensile strength of the filler, MPa, respectively; compressive strength, MPa; slump, cm; x is the number of 1 Polypropylene fiber,%; x is the number of 2 Glass fiber,%; x is the number of 3 Slag mixing amount,%; b k Is the regression coefficient of the model, where k ═ (1,2,3, …, 10).
9. The method for predicting the mechanical properties of the filling body according to claim 8, wherein a multi-factor regression model is constructed by using the self-defined model plate function of SPSS software for the compression-resistant and tensile-resistant data of the filling body at 3d, 7d and 28d, and the regression coefficient b of the regression equation is solved according to orthogonal test data k 。
CN202210503640.9A 2022-05-10 2022-05-10 Filling body and mechanical property prediction method thereof Pending CN114890739A (en)

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