CN111170707A - Filling slurry optimization method for mining waste rock by downward layered filling method - Google Patents

Filling slurry optimization method for mining waste rock by downward layered filling method Download PDF

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CN111170707A
CN111170707A CN202010088730.7A CN202010088730A CN111170707A CN 111170707 A CN111170707 A CN 111170707A CN 202010088730 A CN202010088730 A CN 202010088730A CN 111170707 A CN111170707 A CN 111170707A
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filling
slurry
strength
waste
cemented
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郭斌
路燕泽
杨晓炳
温震江
李胜辉
尹升华
陈彦亭
胡亚军
高谦
涂光富
杨楠
曾莉
李聪
聂合霞
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University of Science and Technology Beijing USTB
Hebei Iron and Steel Group Mining Co Ltd
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University of Science and Technology Beijing USTB
Hebei Iron and Steel Group Mining Co Ltd
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    • CCHEMISTRY; METALLURGY
    • C04CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
    • C04BLIME, MAGNESIA; SLAG; CEMENTS; COMPOSITIONS THEREOF, e.g. MORTARS, CONCRETE OR LIKE BUILDING MATERIALS; ARTIFICIAL STONE; CERAMICS; REFRACTORIES; TREATMENT OF NATURAL STONE
    • C04B28/00Compositions of mortars, concrete or artificial stone, containing inorganic binders or the reaction product of an inorganic and an organic binder, e.g. polycarboxylate cements
    • C04B28/14Compositions 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
    • C04B28/142Compositions 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 containing synthetic or waste calcium sulfate cements
    • C04B28/143Compositions 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 containing synthetic or waste calcium sulfate cements the synthetic calcium sulfate being phosphogypsum
    • CCHEMISTRY; METALLURGY
    • C04CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
    • C04BLIME, MAGNESIA; SLAG; CEMENTS; COMPOSITIONS THEREOF, e.g. MORTARS, CONCRETE OR LIKE BUILDING MATERIALS; ARTIFICIAL STONE; CERAMICS; REFRACTORIES; TREATMENT OF NATURAL STONE
    • C04B2111/00Mortars, concrete or artificial stone or mixtures to prepare them, characterised by specific function, property or use
    • C04B2111/00017Aspects relating to the protection of the environment
    • CCHEMISTRY; METALLURGY
    • C04CEMENTS; CONCRETE; ARTIFICIAL STONE; CERAMICS; REFRACTORIES
    • C04BLIME, MAGNESIA; SLAG; CEMENTS; COMPOSITIONS THEREOF, e.g. MORTARS, CONCRETE OR LIKE BUILDING MATERIALS; ARTIFICIAL STONE; CERAMICS; REFRACTORIES; TREATMENT OF NATURAL STONE
    • C04B2201/00Mortars, concrete or artificial stone characterised by specific physical values
    • C04B2201/50Mortars, concrete or artificial stone characterised by specific physical values for the mechanical strength

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  • Engineering & Computer Science (AREA)
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  • Chemical Kinetics & Catalysis (AREA)
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  • Structural Engineering (AREA)
  • Organic Chemistry (AREA)
  • Consolidation Of Soil By Introduction Of Solidifying Substances Into Soil (AREA)

Abstract

The invention discloses a filling slurry optimization method for using waste rocks to mining by a downward stratified filling method, which takes waste rock coarse aggregate and rod frosting as mixed aggregate; designing mixed filling aggregates with different proportions of barren rocks and rod-milled sands and test schemes of different mortar ratios and slurry concentrations of the mixed filling aggregates to obtain test results of strength of a cemented filling body and fluidity and stability of filling slurry; performing stepwise regression analysis on the test data by using a quadratic polynomial, and establishing a relation function between the utilization rate of the waste rocks and the mortar ratio, the slurry concentration, the strength of a filling body and the fluidity and the stability of the slurry; establishing a filling material cost model; determining the design index of the cemented filling body; establishing a filling material multi-objective optimization model; and solving the target optimization model to obtain the optimization design. The method not only meets the requirements of filling mining on the strength of the cemented filling body and the fluidity and the stability of slurry, but also has the lowest cost of filling materials and the highest utilization rate of waste rocks.

Description

Filling slurry optimization method for mining waste rock by downward layered filling method
Technical Field
The invention belongs to the technical field of filling mining, and particularly relates to a filling slurry optimization method for mining waste rocks by a downward layered filling method.
Background
With the rapid development of national economy and the continuous development of resources, resources with high grade and good conditions are gradually exhausted, and more difficult-to-mine ore bodies with deep burial depth, large ground pressure, rich water and the like are faced to be exploited. For safe, environment-friendly and green mining, a filling mining method is the primary choice. Particularly for complex and difficult-to-mine ore bodies of weak broken surrounding rocks, safety operation can be realized only by protecting under a filling body false roof, so that a downward layered filling mining method is the only option. The stoping process of the filling mining method is complex, the production capacity is low, and the mining cost is high. In order to improve the production capacity, the requirement on the early strength of the filling body is high, the mining economic benefit is poorer, and enterprises face huge pressure.
Pack aggregates are another important factor affecting pack mining costs. In order to meet the early strength requirements of cemented packings for down-cut-and-fill mining, high-consistency slurry cemented packings have to be carried out with artificial rod ground aggregates, which results in high pack mining costs. The exploration of low-cost filling aggregate for replacing or partially rod-milled sand aggregate is one of the ways for reducing the filling mining cost. Mining is accompanied by the production of a large amount of waste rock, which is difficult to utilize in most mines. The waste rock coarse aggregate is used for replacing or partially replacing rod frosting for mining by a downward layered filling method, so that the filling mining cost can be reduced, and the waste rock can be recycled. However, the barren rock-rod sand aggregate not only affects the strength of the pack, but also changes the fluidity and stability of the pack slurry. Especially, the potential layering segregation of the coarse aggregate filling slurry causes pipe blockage and pipe explosion. Therefore, the optimization of the design of the mixed coarse aggregate filling slurry and the preparation of the anti-segregation filling slurry are key technologies for the application of the waste rock in filling mining.
Chinese patent application CN103130475A discloses a cementitious filling slurry for gravity flow transportation of coarse aggregate pipelines, discloses a mixture ratio of mixed coarse aggregate filling slurry with mung bean stones replacing part of bars ground, but does not relate to the strength of mixed aggregate filling and the pipeline transportation characteristics of slurry. CN108661703A discloses a method and a system for filling coarse-grained tailing paste, and discloses a system and a process for filling mixed filling slurry of barren rock coarse aggregate and mineral dressing tailing, and the influence of the barren rock coarse aggregate ratio on the strength of a cemented filling body and the pipeline transportation characteristic of the slurry is not considered. CN107117888A discloses a mixed aggregate filling slurry proportioning decision method for mining, which takes the cost of filling materials as an optimization target and takes the strength of a filling body and the fluidity and stability of filling slurry as constraint conditions to carry out optimization decision of mixed coarse aggregate filling slurry; but the influence of the waste rock utilization rate on the strength and the pipe transmission characteristics is not considered, and the waste rock utilization rate is not maximized. CN110143787A discloses a design method for the components and the proportion of a low-cost barren rock cemented filling material, which comprises the steps of gradually optimizing barren rock gradation, sand doping amount, cemented material components and proportion and cemented material content after the slump of filling slurry is fixed, determining the components and the proportion of the barren rock cemented filling material, and calculating to obtain the lowest cemented material content value according to the strength of the mine to the barren rock cemented filling body by utilizing a cemented material content and strength relation fitting formula; the method for optimizing the proportion of the mixed aggregate does not comprehensively consider the strength of the filling body and the fluidity and the stability of the slurry, and the overall optimized proportion of the waste rock slurry is difficult to obtain by adopting a trial and error optimization method. CN106746946B discloses an optimized filling material proportioning method, which is based on NSGA-II algorithm, and performs optimization search on the filling material proportioning to limit the value range of the filling material proportioning; setting the population scale, calculating algebra, cross probability, mutation probability and other genetic parameters; setting a pre-configured strength value of a filling body, and preferably searching to obtain a non-dominated solution set containing a plurality of groups of solutions; finally, selecting a group of solutions which meet the strength requirement of a mining method on the filling body and meet the mine conveying condition and have the lowest cost as filling material proportioning parameters by combining mine conveying conditions; therefore, the method carries out the waste rock coarse aggregate proportioning design under the condition of determining the strength of the filling body, and fails to consider the segregation of the filling slurry to carry out optimization decision on the waste rock utilization rate.
In conclusion, the method has the advantages that the waste rock is recycled, the requirements on strength of a filling body and fluidity and stability of filling slurry are necessary conditions, the waste rock utilization rate is improved, the filling mining cost is reduced, and the method is a sufficient condition for improving the economic benefit and the environmental protection benefit of filling mining.
Disclosure of Invention
The invention aims to provide a filling slurry optimization method for mining waste rocks by a downward stratified filling method, which has a good product effect.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: (1) waste stones are used as coarse aggregates, rod grinding is used as mixed aggregates, and particle size analysis and characteristic value calculation are carried out on the waste stones and the rod grinding sand;
(2) designing mixed filling aggregates with different proportions of barren rocks and rod-milled sand, and test schemes of different mortar ratios and slurry concentrations of the mixed filling aggregates; testing parameters of the strength of the cemented filling body and the fluidity and stability of the filling slurry according to the test scheme to obtain test results of the strength of the cemented filling body and the fluidity and stability of the filling slurry;
(3) according to the strength of the cemented filling body and the fluidity and stability test results of the filling slurry, a quadratic polynomial is adopted to carry out stepwise regression analysis on the test data, and a relation function between the utilization rate of the waste rock and the mortar ratio, the slurry concentration, the strength of the filling body and the fluidity and stability of the slurry is established: phi ═ f1(x2,x3,…,x9) (ii) a The relationship function between the strength of the cemented filling bodies 3d and 7d and the utilization rate of the waste rock, the glue-sand ratio and the slurry concentration is as follows: r3d=f2(x1,x2,x3)、R7d=f3(x1,x2,x3) (ii) a Slump, expansion and consistency of the filling slurry are respectively in relation with the utilization rate of the waste rocks, the glue-sand ratio and the slurry concentration: t isd=f4(x1,x2,x3)、Kd=f5(x1,x2,x3)、Cd=f6(x1,x2,x3) (ii) a The stratification degree and the bleeding rate of the filling slurry, and the relationship function among the utilization rate of the waste rocks, the glue-sand ratio and the slurry concentration: fd=f7(x1,x2,x3) And ML=f8(x1,x2,x3);
In the above formula: phi represents the waste rock utilization rate; f. of1(X) represents a waste rock utilization model; r3d、R7dRespectively representing the strength, f, of the fillers 3d, 7d2(X)、f3(X) represents the strength models of the fillers 3d, 7d, respectively; t isd、Kd、CdRespectively representing slump, spread and consistency of the filling slurry, f4(X)、f5(X)、f6(X) represents a slump, a spread and a consistency model of the filling slurry, respectively; fd、MLRespectively representing the degree of delamination and bleeding rate of the filling slurry, f7(X)、f8(X) model representing degree of stratification and bleeding rate of filling slurry, respectively;X=﹛x1,x2,…,xnTRepresents a filling slurry design variable;
(4) according to the cost of the cementing material and the mixed filling aggregate, the utilization rate of the waste rock and the rubber-sand ratio, a filling material cost model is established as follows: cT=∑cizi=f9(Z);
In the formula: cTRepresents the cost of the filling material; c. CiZ represents the unit price of the i-th filling materialiRepresents the dosage of the i-th filling material; f. of9(Z) represents a fill material cost model;
(5) determining design indexes of the 3d and 7d cemented filling bodies, the slump, the expansion degree and the consistency of filling slurry and the stratification and the bleeding rate according to the stoping requirement of a downward stratified filling mining method;
(6) the method comprises the following steps of taking the maximum utilization rate of waste rocks and the minimum cost of filling materials as optimization targets, taking the strength of cemented filling bodies 3d and 7d, and the slump, the expansion degree, the consistency, the stratification degree and the bleeding rate of filling slurry as design indexes as constraint conditions, and establishing a multi-objective optimization model of the filling materials as follows: filling material optimization objective function: max (phi-C)T)=Max[f1(x1,x2,…,x9)-f9(Z)](3);
Constraint conditions of the strength of the filling body: f. of2(X)≥[R3d]、f3(X)≥[R7d](4);
Constraint conditions of slurry fluidity: f. of4(X)≥[Td]、f5(X)≥[Kd]、f6(X)≥[Cd](5);
Constraint conditions of slurry stability: f. of7(X)≤[Fd]、f8(X)≤[ML](6);
In the formula: [ R ]3d]、[R7d]Respectively representing the design strength of the cemented filling bodies 3d, 7 d; [ T ]d]、[Kd]、[Cd]Respectively representing slump, expansion and consistency design indexes of the filling slurry; [ F ]d]、[ML]Respectively representing the design indexes of the layering degree and the bleeding rate of the filling slurry;
(7) and (4) solving the target optimization model established in the step (6) to obtain the optimization design of the waste rock and the filling slurry for the downward stratified filling mining.
In the step (1), the particle size of the waste stone is-12 mm, and the particle size of the rod grinding is-5 mm.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in: according to the method, the utilization rate of the waste rock and the cost of the filling material are taken as optimization targets, the strength of a filling body and the fluidity and stability of the filling slurry are taken as constraint conditions, a multi-objective optimization model of the filling slurry is established for optimization design, and therefore the optimal design of the filling slurry with the highest utilization rate of the waste rock and the lowest filling cost is obtained, the waste rock and the phosphogypsum can be utilized at low cost and high value in filling mining, and greater economic and environmental benefits can be obtained. The obtained mixed filling slurry solves the problems of low early strength and unstable volume of a cemented filling body, and avoids the risk of potential pipe plugging and pipe explosion accidents due to layered segregation of the filling slurry; the strength of the cemented filling body, the fluidity and the stability of slurry meet the requirements of filling mining, and the filling material has the lowest cost and the highest utilization rate of waste rocks.
Drawings
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
FIG. 1 is a particle size grading distribution curve of phosphogypsum in the example of the present invention;
FIG. 2 is a microstructure of the micro surface topography of the phosphogypsum in an embodiment of the invention;
FIG. 3 is an XRD pattern of phosphogypsum in the examples of the present invention;
FIG. 4 shows a micro surface topography of calcined lime according to an embodiment of the present invention;
FIG. 5 is a particle size grading curve of-12 mm waste rock coarse aggregate in the example of the present invention;
FIG. 6 is a graph showing a particle size distribution curve of a coarse aggregate of 5mm rod-milled sand in the example of the present invention;
FIG. 7 is a graph showing the particle size grading of mixed aggregates of different proportions in accordance with an embodiment of the present invention.
Detailed Description
The filling slurry optimization method for the mining of the barren rock by the downward layered filling method adopts a barren rock-rod mill sand mixed aggregate filling slurry optimization method to carry out mixed filling slurry optimization design. The filling slurry optimization method adopts the following steps.
(1) Crushing the tunneling waste rocks into coarse aggregates with the particle size of-12 mm and the water content of less than or equal to 8 wt% by adopting a jaw crusher; and (4) carrying out particle size analysis and distribution characteristic value calculation on the waste stone coarse aggregate.
(2) And (2) carrying out different tests on the strength of the cemented filling body of the waste stone-rod mill sand mixture ratio, the cement-sand ratio and the slurry concentration and testing the fluidity and stability parameters of the filling slurry according to the waste stone and rod mill sand aggregate in the step (1) and the early-strength phosphogypsum-based cementing material, thereby obtaining the test results on the strength of the filling body of the waste stone-rod mill sand mixed aggregate filling slurry and the fluidity and stability of the slurry.
(3) According to the strength and slurry characteristic test result of the waste rock-rod grinding sand mixed aggregate filling body in the step (2), performing stepwise regression analysis on test data by using a quadratic polynomial, and thus establishing a waste rock utilization rate model, a cemented filling body strength and filling slurry fluidity and stability model:
waste rock utilization rate model: phi ═ f1(x2,x3,…,x9);
Bond strength model: r3d=f2(x1,x2,x3)、R7d=f3(x1,x2,x3);
Slurry fluidity model: t isd=f4(x1,x2,x3)、Kd=f5(x1,x2,x3)、Cd=f6(x1,x2,x3);
Slurry stability model: fd=f7(x1,x2,x3)、ML=f8(x1,x2,x3);
Wherein phi represents barren rockThe utilization rate, namely the percentage of the waste rock in the mixed aggregate; f. of1(X) represents a waste rock utilization model; r3dRepresenting the 3d strength, R, of the filling7dRepresenting the strength, f, of the filling body 7d2(X) 3d Strength model of a filling Material, f3(X) represents the packing 7d strength model; t isdSlump of the filling slurry, KdRepresenting degree of spread of filling slurry, CdRepresenting the consistency of the filling slurry, f4(X) slump model of filling slurry, f5(X) a model representing the degree of spreading of the filling slurry, f6(X) represents a consistency model of the fill slurry; fdDegree of delamination, M, representing filling slurryLRepresenting the bleeding rate of the filling slurry, f7(X) model representing degree of delamination of filling slurry, f8(X) represents a bleeding rate model of the fill slurry; x ═ X1,x2,…,xnTRepresenting the fill slurry design variables.
(4) Establishing a mixed filling slurry multi-objective optimization model according to the model of the waste rock utilization rate, the strength of the cemented filling body and the fluidity and stability of the slurry in the step (3):
filling material multi-objective optimization function: max (phi-C)T)=Max[f1(x1,x2,…,x9)-f9(Z)];
Constraint conditions of the strength of the filling body: f. of2(X)≥[R3d]、f3(X)≥[R7d];
Constraint conditions of slurry fluidity: f. of4(X)≥[Td]、f5(X)≥[Kd]、f6(X)≥[Cd];
Constraint conditions of slurry stability: f. of7(X)≤[Fd]、f8(X)≤[ML];
Wherein [ R ]3d]Representing the 3d design strength of the cemented filling body, [ R ]7d]Representing the designed strength of the cemented filling body 7 d; [ T ]d]Represents a slump design index of the filling slurry, [ K ]d]Design index representing degree of expansion of filling slurry, [ C ]d]Representing a design index of the consistency of the filling slurry; [ F ]d]A design index representing the degree of stratification of the filling slurry, [ M ]L]Representing a design index of bleeding rate of the filling slurry.
(5) And (5) solving the multi-objective optimization model for the waste rock-rod mill sand mixed aggregate phosphogypsum-based cementing material filling material proportion in the step (4), thereby obtaining the optimal design scheme of the mixed filling material with highest waste rock utilization and lowest filling material cost.
(6) The early-strength phosphogypsum-based cementing material in the step (2) is prepared by optimizing low-quality phosphogypsum solid waste as a main component, and the optimization steps are as follows:
firstly, drying and crushing the phosphogypsum to obtain the phosphogypsum with the specific surface area more than or equal to 200m2/kg, water content less than or equal to 3wt percent. And (4) carrying out particle size analysis and distribution characteristic value calculation on the phosphogypsum. Quicklime, NaOH and mirabilite are selected as excitant materials, and rod-milled sand with the diameter of-5 mm is adopted as a mixture of waste stone aggregates. Grinding quicklime powder into powder with surface area more than or equal to 350m2/kg, water content less than or equal to 3wt percent.
And (II) designing an orthogonal test scheme for proportioning of the ardealite-based gelling material composite exciting agent by adopting a-5 mm rod-milled sand aggregate according to the ardealite and exciting agent material in the step (I).
(III) preparing filling slurry and filling body test blocks according to the exciting agent material, the filling aggregate and the orthogonal test scheme in the step (II). And then carrying out a strength test and an expansion rate test on the cemented filling body according to a cement mortar strength test method (ISO method) B/T17671-1999, thereby obtaining test results of the strength and the expansion rate of the cemented filling body test block with different excitant proportions.
(IV) aiming at the strength test result of the cemented test block in the step (III), performing stepwise regression analysis on the test data by using a quadratic polynomial, thereby establishing early strength and later submission expansion rate models of the cemented filling body, wherein the early strength and the later submission expansion rate models are respectively as follows:
R3d=F1(Y);
V28d=F2(Y);
wherein R is3dRepresents the strength of the filling body 3 d; v28dRepresents 28d Filler bulkingThe expansion rate; y ═ Y1,y2,…,ynTRepresents an activator variable of the phosphogypsum-based gelling material; f1(Y) represents a cemented pack 3d strength model; f2(Y) represents a 28d pack expansion model.
(V) according to the cemented filling body 3d strength and filling body 28d volume expansion rate model in the step (IV), establishing an early-strength phosphogypsum-based cementing material activator proportioning optimization model by taking the cemented filling body 3d strength as an optimization target and the filling body 28d volume expansion rate as a constraint condition:
optimizing the target: MaxR3d=MaxF1(Y);
Constraint conditions are as follows: v28d=F2(Y)≤[V28d]。
And (VI) solving the proportioning optimization model of the early-strength phosphogypsum-based cementing material in the step (V) to obtain the optimal formula of the exciting agent with the maximum 3d strength of the cemented filling body and the filling body expansion rate smaller than an allowable value.
Example (b): the method for optimizing the filling slurry of the barren rock for mining by the downward stratified filling method is specifically described as follows.
1. The activator of the early-strength phosphogypsum-based cementing material is optimized by the following steps:
(1) drying and grinding the low-quality phosphogypsum solid waste, and performing physical and chemical analysis and particle size test. The analysis result of the mineral components of the phosphogypsum is shown in table 1, the grain size grading distribution curve is shown in figure 1, the microcosmic surface morphology structure of the phosphogypsum is shown in figure 2, and the XRD spectrum of the phosphogypsum is shown in figure 3.
Table 1: analysis result of mineral component in phosphogypsum solid waste
Figure BDA0002382977560000091
(2) Grinding and particle size testing are carried out on the quicklime excitant to obtain the quicklime particle size distribution characteristic value as follows: d10=2.17μm,d30=4.60μm,d60=6.53μm,d50=5.86μm,d9017.04 μm. The particle size distribution curvature coefficient of the quicklime powder is 1.49,the nonuniformity index was 3.01. The micro surface topography of the quicklime is shown in figure 4.
(3) Quick lime, NaOH and mirabilite are selected as exciting agents to excite the activity of the phosphogypsum to prepare the phosphogypsum-based gelling material. The weight ratio of the phosphogypsum powder to the exciting agent in the material of the packing is as follows: 30-45% of phosphogypsum powder, 4.5-6% of quicklime, 0.5-2.0% of NaOH, 1.5-3.0% of mirabilite and the balance of filling aggregate. The filling aggregate is ground by a rod with the thickness of-5 mm and the weight ratio of glue to sand is 1:4, and the filling material is added with water to prepare slurry with the concentration of 82%. The slurry was subjected to a strength test and a volume expansion test of the cemented filling body, and the test results were obtained as shown in Table 2.
Table 2: strength and expansion rate test results of the Filler
Figure BDA0002382977560000101
Figure BDA0002382977560000111
(4) According to the testing results of the strength and the volume expansion rate of the phosphogypsum cementing material cemented filling body, a quadratic polynomial is adopted to carry out stepwise regression analysis on the test data, and a regression model of the 3d strength and the 28d filling body expansion rate of the cemented filling body is established:
R3d=0.297-2.58x3-0.00431x1x2+0.667x1x3+0.0465x3x4
V28d=23.1-37.1x1+2.6x2+16.8x4+4.3x1x1-0.02x2x2+1.87x3x3-0.10x1x2-0.1x1x3-1.3x1x4-0.3x2x4
wherein R is3dRepresents the 3d strength of the cemented filling body, MPa; v28dRepresents 28d pack expansion,%; x is the number of1Represents the quicklime proportion,%; x is the number of2Representing the proportion of the phosphogypsum,%;x3represents the NaOH ratio,%; x is the number of4Represents the mirabilite proportion in percent.
(5) According to the 3d strength and 28d filling body expansion rate model of the cemented filling body, the allowable value of the filling body expansion rate is determined to be 8% by means of experience, and the model for optimizing the proportioning of the activator of the early-strength phosphogypsum cementing material is established as follows:
optimizing the target: MaxR3d=Max(0.297-2.58x3-0.00431x1x2+0.667x1x3+0.0465x3x4);
Constraint conditions are as follows: v28d≤[V28d]=23.1-37.1x1+2.6x2+16.8x4+4.3x1x1-0.02x2x2+1.87x3x3-0.10x1x2-0.1x1x3-1.3x1x4-0.3x2x4≤8%。
(6) Solving an optimization model of the activator proportion of the early-strength phosphogypsum-based cementing material to obtain the proportion of the cementing material in the cemented filling material as follows: 6.0 wt% of quicklime, 30.0 wt% of phosphogypsum, 2.0 wt% of NaOH and 2.0 wt% of mirabilite.
(7) According to the proportion of the phosphogypsum-based gelling material and the material cost: the cost of quicklime is 320 yuan/t, the cost of phosphogypsum is 40 yuan/t, the cost of NaOH is 2100 yuan/t, the cost of mirabilite is 550 yuan/t, and the cost of slag micro powder is 140 yuan/t, so that the cost of the early-strength phosphogypsum-based cementing material is 168.2 yuan/ton.
2. The optimization of the waste stone-rod mill filling slurry adopts the following steps:
(1) the mine excavation waste rock is crushed into-12 mm coarse aggregate by a jaw crusher, the chemical component analysis result of the waste rock is shown in table 3, and the particle size distribution accumulation curve of the waste rock coarse aggregate is shown in fig. 5. The particle size distribution curve of the-5 mm rod-milled sand aggregate is shown in FIG. 6, and the particle size distribution characteristic values are shown in Table 4. The particle size distribution curve of the mixed aggregate of the waste stone and the rod mill sand aggregate in different proportions is shown in a figure 7, and the particle size characteristic value of the mixed aggregate is shown in a table 5.
Table 3: analysis result of chemical composition of coarse aggregate of broken waste rock in mine
Chemical composition SiO2 Al2O3 CaO MgO Fe2O3 S Fe Ni
Content/wt% 36.31 3.39 3.86 28.15 0 0.67 9.51 0.198
Table 4: analysis result of characteristic value of aggregate grade of-5 mm rod mill sand
Numbering d10/μm d30/μm d50/μm d60/μm d90/μm dav/μm Cu Cc
1 78.92 193.40 302.44 499.17 1939.21 1148.53 6.33 0.95
2 75.99 182.53 413.49 662.30 2264.05 821.67 8.72 0.66
Table 5: result of calculating particle size distribution characteristic value of mixed aggregate with different proportions of waste stone and rod mill sand
Figure BDA0002382977560000121
Figure BDA0002382977560000131
(2) For the mixed filling aggregate of the barren rock-rod grinding sand with different proportions, the strength test of the cemented filling body with different mortar ratios and slurry concentrations and the fluidity and stability characteristic test of the filling slurry are carried out, and the test results are obtained and shown in table 6. In the cemented filling body, the waste rock accounts for 10-40 wt% of the mixed filling aggregate, the ratio (mass) of the rubber to the sand is 0.17-0.25, and the slurry concentration is 78-82 wt%.
Table 6: test results of strength and expansion rate of cemented filling body
Figure BDA0002382977560000132
Figure BDA0002382977560000141
(3) For the test results of the strength of the filling body and the fluidity and stability of the slurry shown in table 6, a quadratic polynomial is adopted to perform stepwise regression analysis, and thus models of the utilization rate of the waste rock, the strength of the cemented filling body, the fluidity and stability of the filling slurry are established as follows:
① waste rock utilization rate model of filling material:
φ=f1(X)=61.85+1.182x3x3+5.29x8x8-80.8x1x3+68.94x1x4-0.18x3x6-6.2x3x8+2.88x3x9-0.24x4x6+8.54x4x8-1.82x8x9
cement filling body 3d strength model:
R3d=f2(X)=178.56+0.14x1-51.94x2-4.56x3-0.00081x1x1-32.36x2x2+0.029x3x3-0.021x1x2-0.0016x1x3+1.00x2x3
③ the cemented filling body 7d strength model:
R7d=f3(X)=2.35-0.18x1-160.31x2-0.0024x1x1+1.24x1x2+2.07x2x3
④ slump model of slurry:
Td=f4(X)=29.55+0.52x1+0.0017x1x1-0.146x1x2-0.0075x1x3
filling the extension degree model of the slurry:
Kd=f5(X)=330.3+1084.6x2x2-0.022x3x3-0.0058x1x3-7.11x2x3
sixthly, filling a consistency model of the slurry:
Cd=f
6(X)=269.06+0.022x1-199.58x2-5.78x3-0.00058x1x1+159.03x2x2+0.033x3x3+1.58x2x3
seventhly, a layering degree model of the filling slurry:
Fd=f7(X)=98.34-16.1x2-2.2x3-0.00089x1x1+32.6x2x2+0.012x3x3+0.00065x1x3
⑧ bleeding rate model of the filling slurry:
ML=f8(X)=48.03+0.64x1-14.7x2-0.42x3-0.0030x1x1-0.0069x1x3
⑨, according to the fact that the cost of the mine-12 mm waste rock aggregate is 19 yuan/t, the cost of the 5mm rod grinding sand is 47 yuan/t, and the cost of the phosphogypsum-based cementing material is 168.2 yuan/ton, establishing a filling cementing material cost model:
CT=f9(Z)=33.27-0.41x1+554.6x2-983.3x2x2+0.24x1x2
(7) establishing a waste stone-rod mill sand mixed aggregate filling slurry proportioning optimization model:
according to the strength requirement of a cemented filling body of a downward layered filling mining method and the filling multiple line of a mine stope being less than 4, and according to the mining design strength and the self-flow conveying and stability of filling slurry, determining the design indexes of the strength of the filling body and the fluidity and stability of the filling slurry as follows: [ R ]3d]=1.5MPa、[R7d]=2.5MPa、[Td]=25cm、[Kd]=55cm、[Cd]=12cm、[Fd]=3cm、[ML]=10%。
Optimizing an objective function:
Max(φ-CT)=Max[f1(x1,x2,…,x9)-f9(Z)]=Max(61.85+1.182x3x3+5.29x8x8-80.8x1x3+68.94x1x4-0.18x3x6-6.2x3x8+2.88x3x9-0.24x4x6+8.54x4x8-1.82x8x9-33.27+0.41x1-554.6x2+983.3x2x2-0.24x1x2);
and (3) strength constraint conditions of the cemented filling body:
R3d=f2(X)=178.56+0.14x1-51.94x2-4.56x3-0.00081x1x1-32.36x2x2+0.029x3x3-0.021x1x2-0.0016x1x3+1.00x2x3≥1.5;
R7d=f3(X)=2.35-0.18x1-160.31x2-0.0024x1x1+1.24x1x2+2.07x2x3≥2.5;
constraint conditions for fluidity of filling slurry:
Td=f4(X)=29.55+0.52x1+0.0017x1x1-0.146x1x2-0.0075x1x3≥25;
Kd=f5(X)=330.3+1084.6x2x2-0.022x3x3-0.0058x1x3-7.11x2x3≥55;
Cd=f6(X)=269.06+0.022x1-199.58x2-5.78x3-0.00058x1x1+159.03x2x2+0.033x3x3+1.58x2x3≥12;
stability constraint of the filling slurry:
Fd=f7(X)=98.3-16.1x2-2.2x3-0.00089x1x1+32.6x2x2+0.012x3x3+0.00065x1x3≤3;
ML=f8(X)=48.03+0.64x1-14.7x2-0.42x3-0.0030x1x1-0.0069x1x3≤10。
(8) solving the established waste stone-rod mill sand mixed aggregate filling slurry ratio optimization model, thereby obtaining the mixed filling slurry optimal ratio as follows: 39.1 percent of waste stone utilization rate, 1:6 of slurry mortar-rubber-sand ratio, 78.2 percent of slurry mass concentration, and mixed filling of waste stone and rod mill sandThe filling material cost of the filling slurry is 84.8 yuan/m3

Claims (2)

1. A filling slurry optimization method for mining waste rocks by a downward stratified filling method is characterized by comprising the following steps: (1) taking waste stone coarse aggregate and rod mill sand as mixed aggregate, and performing particle size analysis and characteristic value calculation on the waste stone and the rod mill sand;
(2) designing mixed filling aggregates with different proportions of barren rocks and rod-milled sand, and test schemes of different mortar ratios and slurry concentrations of the mixed filling aggregates; testing parameters of the strength of the cemented filling body and the fluidity and stability of the filling slurry according to the test scheme to obtain test results of the strength of the cemented filling body and the fluidity and stability of the filling slurry;
(3) according to the strength of the cemented filling body and the fluidity and stability test results of the filling slurry, a quadratic polynomial is adopted to carry out stepwise regression analysis on the test data, and a relation function between the utilization rate of the waste rock and the mortar ratio, the slurry concentration, the strength of the filling body and the fluidity and stability of the slurry is established: phi = ƒ1(x2,x3,…,x9) (ii) a The relationship function between the strength of the cemented filling bodies 3d and 7d and the utilization rate of the waste rock, the glue-sand ratio and the slurry concentration is as follows: r3d2(x1,x2,x3)、R7d3(x1,x2,x3) (ii) a Slump, expansion and consistency of the filling slurry are respectively in relation with the utilization rate of the waste rocks, the glue-sand ratio and the slurry concentration: t isd4(x1,x2,x3)、Kd5(x1,x2,x3)、Cd6(x1,x2,x3) (ii) a The stratification degree and the bleeding rate of the filling slurry, and the relationship function among the utilization rate of the waste rocks, the glue-sand ratio and the slurry concentration: fd7(x1,x2,x3) And ML8(x1,x2,x3);
In the above formula: phi represents the waste rock utilization rate; ƒ1(X) represents a waste rock utilization model; r3d、R7dRespectively representing the strength of the filling bodies 3d and 7d, ƒ2(X)、ƒ3(X) represents the strength models of the fillers 3d, 7d, respectively; t isd、Kd、CdRepresenting slump, spread and consistency of the filling slurry, respectively, ƒ4(X)、ƒ5(X)、ƒ6(X) represents a slump, a spread and a consistency model of the filling slurry, respectively; fd、MLRespectively representing the degree of delamination and bleeding of the fill slurry, ƒ7(X)、ƒ8(X) represents a degree of stratification and a bleeding rate model of the filling slurry, respectively; x = (X)1,x2,…,xnTRepresents a filling slurry design variable;
(4) according to the cost of the cementing material and the mixed filling aggregate, the utilization rate of the waste rock and the rubber-sand ratio, a filling material cost model is established as follows: cT=∑cizi9(Z);
In the formula: cTRepresents the cost of the filling material; c. CiZ represents the unit price of the i-th filling materialiRepresents the dosage of the i-th filling material; ƒ9(Z) represents a fill material cost model;
(5) determining design indexes of 3d and 7d design strength of cemented filling bodies, slump, expansion degree and consistency of filling slurry and stratification and bleeding rate according to the safety mining requirement of a downward stratified filling mining method;
(6) the method comprises the following steps of taking the maximum utilization rate of waste rocks and the minimum cost of filling materials as optimization targets, taking the strength of cemented filling bodies 3d and 7d, and the slump, the expansion degree, the consistency, the stratification degree and the bleeding rate of filling slurry as design indexes as constraint conditions, and establishing a multi-objective optimization model of the filling materials as follows:
filling material optimization objective function: max (phi-C)T)=Max[ƒ1(x1,x2,…,x9)-ƒ9(Z)];
Constraint conditions of the strength of the filling body: ƒ2(X)≥[R3d]、ƒ3(X)≥[R7d];
Restriction of slurry flowabilityConditions are as follows: ƒ4(X)≥[Td]、ƒ5(X)≥[Kd]、ƒ6(X)≥[Cd];
Constraint conditions of slurry stability: ƒ7(X)≤[Fd]、ƒ8(X)≤[ML];
In the formula: [ R ]3d]、[R7d]Respectively representing the design strength of the cemented filling bodies 3d, 7 d; [ T ]d]、[Kd]、[Cd]Respectively representing slump, expansion and consistency design indexes of the filling slurry; [ F ]d]、[ML]Respectively representing the design indexes of the layering degree and the bleeding rate of the filling slurry;
(7) and (4) solving the target optimization model established in the step (6) to obtain the filling slurry optimization design for the downward layered filling method mining.
2. The method of optimizing a fill slurry for downward stratified fill mining of barren rock according to claim 1, wherein: in the step (1), the particle size of the waste stone is-12 mm, and the particle size of the rod grinding is-5 mm.
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