CN113742816B - Alkali-activated bagasse ash/slag low-carbon mortar mixing proportion design method based on strength regulation and control - Google Patents

Alkali-activated bagasse ash/slag low-carbon mortar mixing proportion design method based on strength regulation and control Download PDF

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CN113742816B
CN113742816B CN202110894529.2A CN202110894529A CN113742816B CN 113742816 B CN113742816 B CN 113742816B CN 202110894529 A CN202110894529 A CN 202110894529A CN 113742816 B CN113742816 B CN 113742816B
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strength
low
mortar
carbon
bagasse ash
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CN113742816A (en
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李静
余康锋
陶冶
陈正
余波
吴昌杰
陈犇
农喻媚
柯璐
庄恩德
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Guangxi University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • 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
    • C04B28/006Compositions 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 mineral polymers, e.g. geopolymers of the Davidovits type
    • 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
    • C04B7/00Hydraulic cements
    • C04B7/14Cements containing slag
    • 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
    • C04B7/00Hydraulic cements
    • C04B7/24Cements from oil shales, residues or waste other than slag
    • C04B7/28Cements from oil shales, residues or waste other than slag from combustion residues, e.g. ashes or slags from waste incineration
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • 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
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P40/00Technologies relating to the processing of minerals
    • Y02P40/10Production of cement, e.g. improving or optimising the production methods; Cement grinding
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W30/00Technologies for solid waste management
    • Y02W30/50Reuse, recycling or recovery technologies
    • Y02W30/91Use of waste materials as fillers for mortars or concrete

Abstract

An alkali-activated bagasse ash/slag low-carbon mortar mixing proportion design method based on intensity regulation comprises the following steps: (1) Preparing alkali-activated bagasse ash/slag low-carbon mortar composed of different raw materials; (2) Testing the strength of the low-carbon mortar with different raw material compositions; (3) Establishing a low-carbon mortar strength prediction model based on raw material parameters; (4) And calculating raw material parameters based on the strength design requirement, and determining the mixing ratio of the low-carbon mortar. The invention can greatly improve the utilization rate of bagasse ash, realize the recycling utilization of solid waste, avoid calcination treatment and cement blending, and remarkably reduce the carbon dioxide emission. Meanwhile, a model for predicting the strength of mortar and the strength of the precursor, the quantity of sodium oxide substances, the ratio of silicon dioxide to the quantity of sodium oxide substances in an alkaline excitant, the water-gel ratio and the age is established, wherein the precursor is prepared by homogenizing bagasse ash and slag, and the model provides reference and prediction for engineering practical application.

Description

Alkali-activated bagasse ash/slag low-carbon mortar mixing proportion design method based on strength regulation and control
Technical Field
The invention belongs to the technical field of building materials, and particularly relates to an alkali-activated bagasse ash/slag low-carbon mortar mixing proportion design method based on strength regulation.
Background
Guangxi is the main area for planting sugarcane, the yield of the sugarcane accounts for 68% of the whole country, bagasse ash is used as an industrial byproduct, the annual stacking amount of the bagasse ash is up to 900 ten thousand tons, the air quality and the soil environment are seriously influenced, and a proper method is needed to be found and utilized.
The preparation of building materials from bagasse ash is an effective method for disposing and utilizing solid waste. Chinese patent 201910643837.0 discloses a preparation method of bagasse ash mortar, which comprises the steps of mixing, stirring, pouring, vibrating and preparing a bagasse ash mortar product by 10-20 parts of pretreated bagasse ash, 100-300 parts of sand, 30-55 parts of water, 100 parts of cement and 0-2 parts of water reducer, and further curing by standard curing to obtain the bagasse ash mortar. Chinese patent 202011314377.6 discloses a concrete with high content of fly ash and a preparation method thereof, wherein 10-20 parts of pretreated bagasse ash, 100 parts of cement, 100-250 parts of sand, 150-300 parts of broken stone, 30-55 parts of water and 0.5-2 parts of water reducer are mixed, stirred, poured and vibrated to prepare a bagasse ash concrete product, and the two methods can improve the strength and durability of the material. However, the bagasse ash used in the method is less, only accounts for 9-17% of the cementing material, the aim of efficiently recycling the bagasse ash is difficult to achieve, and the bagasse ash is used in combination with Portland cement, and the problems of carbon emission amplification, high energy consumption and the like exist in the production process.
In addition, bagasse ashes produced in different areas and factories have different chemical compositions, phase compositions and reactivity, and the traditional design of the bagasse ash mortar mixing ratio does not consider the differences of the physical and chemical properties of raw materials, so that the proposed mixing ratio does not have universality, and mortar meeting the performance requirements is difficult to produce according to the local actual conditions. Therefore, it is necessary to provide a bagasse ash mortar mix proportion design method with universality, which fundamentally realizes and guides the production and application of the same type of mortar.
Disclosure of Invention
Aiming at the problems, the invention provides a design method for the mixing ratio of alkali-activated bagasse ash/slag low-carbon mortar based on intensity regulation. The method establishes the alkali-activated bagasse ash/slag low-carbon mortar strength prediction model based on raw material parameters, has good universality, and can be used for solving the problem of difficult mix proportion design caused by large regional difference of raw materials. Meanwhile, the alkali-activated bagasse ash/slag low-carbon mortar provided by the invention can fully and resourcefully utilize bagasse ash, changes waste into valuable, does not need high-temperature calcination in the preparation process, has low energy consumption and low carbon dioxide emission, and is beneficial to realizing the 'carbon peak, carbon neutralization' strategic targets.
In order to achieve the above object, the technical scheme of the present invention is as follows: the design method for the mixing ratio of the alkali-activated bagasse ash/slag low-carbon mortar based on intensity regulation comprises the following steps:
step 1: preparing alkali-activated bagasse ash/slag low-carbon mortar composed of different raw materials;
step 2: testing the strength of the low-carbon mortar with different raw material compositions;
step 3: establishing a low-carbon mortar strength prediction model based on raw material parameters;
step 4: and calculating raw material parameters based on the strength design requirement, and determining the mixing ratio of the low-carbon mortar.
The preparation of the alkali-activated bagasse ash/slag low-carbon mortar with different raw material compositions in the step 1 comprises the following steps: preparing a precursor; preparing an alkaline excitant; mixing the precursor, the exciting agent and sand. The method comprises the following specific steps:
(1) Preparing a precursor: respectively weighing a certain amount of ground bagasse ash and slag, wherein the mass part of the bagasse ash is 225-450 parts, the mass part of the slag is 0-225 parts, and placing the bagasse ash and the slag in a container A, and uniformly mixing to obtain a required precursor;
(2) Preparing an alkaline excitant: the alkaline excitant is prepared by mixing, stirring and dissolving industrial sodium silicate solution, sodium hydroxide particles and water, and the prepared alkaline excitant comprises 18-45 parts by weight of sodium oxide, 0-44 parts by weight of silicon dioxide and 202-247 parts by weight of water;
(3) Mixing the precursor, the exciting agent and sand: and (3) pouring 252-314 parts by mass of the alkaline excitant prepared in the step (2) and 1350 parts by mass of standard sand into the container A in the step (1), and uniformly stirring to obtain the alkali-excited bagasse ash/slag low-carbon mortar finished product.
Step 2, testing the strength of the alkali-activated bagasse ash/slag low-carbon mortar with different raw material compositions:
the strength performance of the prepared alkali-activated bagasse ash/slag low-carbon mortar was tested with reference to GB/T17671-1999 cement mortar strength test method (ISO method).
The step 3 of establishing a low-carbon mortar strength prediction model based on raw material parameters comprises the following steps:
(1) The proportion of bagasse ash in the precursor, the amount of sodium oxide substances, the ratio of the amount of silicon dioxide to the amount of sodium oxide substances in the excitant, the water gel ratio and the age are selected as independent variables, and are respectively marked as gamma and R N 、n S/N W/B, T, the compressive strength is taken as a dependent variable and is marked as Y;
(2) Establishing a nonlinear intensity prediction model containing unknown parameters a-f based on the independent variables and the dependent variables selected in the step (1):
(3) Based on the least square method principle, substituting raw material composition parameters and strength values of different ages of low-carbon mortar into a strength prediction model to solve unknown parameters, wherein the method specifically comprises the following steps:
(1) unfolding and sorting the established prediction model to obtain:
(2) order the
The method comprises the following steps:
Y=aZ 1 +bZ 2 +cZ 3 +dZ 4 +eZ 5 +f;
(3) the corresponding normal equation is listed based on the compressive strength dataset number m:
(4) substituting the compressive strength data into the normal equation in the step (3) to solve the unknown parameters a-f.
(4) Substituting a-f calculated in the step (3) into the established prediction model to obtain an intensity prediction model;
(5) Calculating to obtain a compressive strength predicted value according to the strength predicted model obtained in the step (4);
(6) And (5) comparing the compressive strength predicted value with the actual measured value in the analysis step (5), and carrying out fitting regression, wherein the regression coefficient is preferably more than or equal to 0.90.
And 4, calculating raw material parameters based on the strength design requirement, and determining the mixing ratio of the low-carbon mortar comprises the following steps:
(1) The strength design requirement value Y and the required relevant parameters (the proportion gamma of bagasse ash to precursor and the quantity R of sodium oxide substances N Ratio n of the amount of silica to sodium oxide material in the activator S/N Ratio of water to gelSelected from age T) to the established intensity prediction model:
(2) Inverse solution to obtain raw material parameter general solution meeting strength design requirement
(3) And determining a group of special solutions as the low-carbon mortar mixing ratio based on the economic index and engineering reality.
The invention has the following beneficial effects:
(1) The method establishes a strength prediction model of the alkali-activated bagasse ash/slag low-carbon mortar based on raw material parameters, and has better universality.
(2) The alkali-activated bagasse ash/slag low-carbon mortar material improves the utilization rate of the bagasse ash, is not doped with cement, can effectively reduce carbon emission, reduces resource consumption, achieves the aim of low carbon and environmental protection, and improves the mechanical property of the mortar, and the highest 28d compressive strength of the prepared alkali-activated bagasse ash/slag low-carbon mortar is 68.9MPa.
Drawings
FIG. 1 is a graph showing the comparison of the measured and predicted compressive strength values of alkali-activated bagasse ash/slag low-carbon mortar.
FIG. 2 is a graph showing the amount R of sodium oxide material in the activator for alkali-activated bagasse ash/slag low-carbon mortar having a design value of compressive strength of 40MPa N Ratio to the amount of silica to sodium oxide species in the activator n S/N Is a functional relationship diagram of (a).
Detailed Description
In order to enable those skilled in the art to better understand the technical scheme of the present invention, the technical scheme of the present invention will be described in further detail with reference to examples.
Example 1
The invention relates to an intensity control-based alkali-activated bagasse ash/slag low-carbon mortar mixing proportion design method, which comprises the following steps:
step one: preparing alkali-activated bagasse ash/slag low-carbon mortar with different raw material compositions:
1. according to the raw material mixing ratio shown in Table 1, firstly, bagasse ash and slag with corresponding mass are weighed and placed in a mixer to be uniformly mixed to prepare a required precursor;
2. according to the raw material mixing ratio shown in Table 1, industrial water glass, sodium hydroxide and water with corresponding mass are weighed, mixed, stirred and dissolved to prepare the needed alkaline excitant solution, and the alkaline excitant solution is stood for standby;
3. referring to GB/T17671-1999 cement mortar strength test method, mixing the precursor, the alkali-activated agent and the mortar to prepare the alkali-activated bagasse ash/slag low-carbon mortar.
TABLE 1 raw material mix ratio
Step two: and (3) testing the strength of the alkali-activated bagasse ash/slag low-carbon mortar with different raw material compositions:
performance tests were performed on the performance of the prepared alkali-activated bagasse ash/slag low-carbon mortar by referring to GB/T17671-1999 cement mortar strength test method (ISO method), and compressive strengths at different ages were tested respectively, as shown in Table 2
Table 2 test set of compressive strength test values
The detection result shows that the alkali-activated bagasse ash/slag low-carbon mortar prepared by the invention can greatly improve the utilization rate of bagasse ash and can meet the requirements on mechanical properties.
Step three: the method for establishing the low-carbon mortar strength prediction model based on the raw material parameters comprises the following specific steps:
(1) The proportion of bagasse ash in the precursor, the amount of sodium oxide substances, the ratio of the amount of silicon dioxide to the amount of sodium oxide substances in the excitant, the water gel ratio and the age are selected as independent variables, and are respectively marked as gamma and R N 、n S/N W/B, T, compressive strength as a dependent variable, noted Y, as shown in Table 3;
TABLE 3 compressive strength at different blend ratios
(2) Combining the independent variable and the dependent variable selected in the step (1), and establishing the following nonlinear intensity prediction model containing unknown parameters a-f:
(3) Combining the compressive strength data of different mix ratios and different ages shown in the table 3, adopting a least square method to fit, and solving unknown parameters in a prediction model, wherein the steps are as follows:
(1) unfolding and sorting the established prediction model to obtain:
(2) order the
The method comprises the following steps:
Y=aZ 1 +bZ 2 +cZ 3 +dZ 4 +eZ 5 +f;
(3) the compressive strength measured data are 22 groups, and when the amount of sodium oxide substances in the excitant is 0, the compressive strength of the mortar is 0MPa; when the age is 0d, the compressive strength of the mortar is 0MPa. Four sets of data, 12-28, 13-28, 1-0, 3-0, were added as supplements (see Table 3), for a total of 26 sets, so the normal equations are as follows:
(4) substituting the compressive strength data into the normal equation in the step (3), and solving the unknown parameters a-f to obtain:
a=-21.87,b=16.50,c=-5.05,d=-38.49,e=34.28,f=0.33;
(4) Substituting a-f calculated in the step (3) into the established prediction model to obtain:
(5) Calculating to obtain a compressive strength predicted value according to the predicted model obtained in the step (4), wherein the compressive strength predicted value is shown in a table 3;
(6) Comparing the predicted and measured compressive strength values in analysis (5), see FIG. 1, R obtained by linear fitting 2 =0.93, which indicates that the degree of agreement between the predicted and measured values is higher, and the accuracy of the model is higher.
Step four: based on the strength design requirement, raw material parameters are calculated, and the low-carbon mortar mixing ratio is determined, wherein the concrete steps comprise:
taking a compressive strength design value Y of 40MPa as an example, setting bagasse ash to occupy a precursor proportion gamma of 0.5, a water-gel ratio W/B of 0.5 and an age T of 28d, and substituting the obtained product into a prediction model to obtain the quantity R of sodium oxide substances in the required excitant N Ratio to the amount of silica to sodium oxide species in the activator n S/N Is the relation of (a), namely:
the above formula is arranged to obtain:
by R N On the ordinate, n S/N And (3) drawing a function diagram representing the correlation between the two on the abscissa, and referring to fig. 2. Based on experience, n S/N 1-2, the excitation effect is good, and the strength development is facilitated; based on economic index, R N And n S/N The smaller the value of (c) is, the better the economic benefit is represented. Based on engineering practice and economic index, sodium oxide of 0.18mol and the ratio of silicon dioxide to sodium oxide in the activator of 1.5 can be selected.
In conclusion, the design method of the alkali-activated bagasse ash/slag low-carbon mortar mixing ratio based on the intensity regulation and control can establish an intensity prediction model with high accuracy according to raw material parameters, so that the problem of poor universality of the same mixing ratio caused by large raw material difference is solved, and the design method of the mixing ratio is provided for the production and the manufacture of the bagasse ash mortar. The mixing proportion design method not only has universality, but also can select the mixing proportion meeting the performance requirement based on economic indexes and engineering practice.
The foregoing description of the preferred embodiments of the present invention is not intended to limit the scope of the invention, but rather to limit the scope of the invention.

Claims (1)

1. The design method of the alkali-activated bagasse ash/slag low-carbon mortar mixing ratio based on intensity regulation is characterized by comprising the following steps of:
step 1: preparing alkali-activated bagasse ash/slag low-carbon mortar composed of different raw materials;
the preparation of the alkali-activated bagasse ash/slag low-carbon mortar with different raw material compositions comprises the following steps: preparing a precursor; preparing an alkaline excitant; mixing the precursor, the exciting agent and the sand, wherein the method comprises the following specific steps of:
(1) Preparing a precursor: respectively weighing a certain amount of ground bagasse ash and slag, wherein the mass part of the bagasse ash is 225-450 parts, the mass part of the slag is 0-225 parts, and placing the bagasse ash and the slag in a container A, and uniformly mixing to obtain a required precursor;
(2) Preparing an alkaline excitant: the alkaline excitant is prepared by mixing, stirring and dissolving industrial sodium silicate solution, sodium hydroxide particles and water, and the prepared alkaline excitant comprises 18-45 parts by weight of sodium oxide, 0-44 parts by weight of silicon dioxide and 202-247 parts by weight of water;
(3) Mixing the precursor, the exciting agent and sand: pouring 252-314 parts by weight of the alkaline excitant prepared in the step (2) and 1350 parts by weight of standard sand into the container A in the step (1), and uniformly stirring to obtain an alkali-excited bagasse ash/slag low-carbon mortar finished product;
step 2: testing the strength of the low-carbon mortar with different raw material compositions;
step 3: establishing a low-carbon mortar strength prediction model based on raw material parameters;
the method for establishing the low-carbon mortar strength prediction model based on the raw material parameters comprises the following steps:
(1) The proportion of bagasse ash in the precursor, the amount of sodium oxide substances, the ratio of the amount of silicon dioxide to the amount of sodium oxide substances in the excitant, the water gel ratio and the age are selected as independent variables, and are respectively marked as gamma and R N 、n S/N W/B, T, the compressive strength is taken as a dependent variable and is marked as Y;
(2) Establishing a nonlinear intensity prediction model containing unknown parameters a-f based on the independent variables and the dependent variables selected in the step (1):
(3) Based on the least square method principle, substituting raw material composition parameters and strength values of different ages of low-carbon mortar into a strength prediction model to solve unknown parameters, wherein the method specifically comprises the following steps:
(1) unfolding and sorting the established prediction model to obtain:
(2) order the
The method comprises the following steps:
Y=aZ 1 +bZ 2 +cZ 3 +dZ 4 +eZ 5 +f;
(3) the corresponding normal equation is listed based on the compressive strength dataset number m:
(4) substituting the compressive strength data into the normal equation in the step (3), solving the unknown parameters a-f,
(4) Substituting a-f calculated in the step (3) into the established prediction model to obtain an intensity prediction model;
(5) Calculating to obtain a compressive strength predicted value according to the strength predicted model obtained in the step (4);
(6) Comparing and analyzing the compressive strength predicted value and the actual measured value in the step (5), and carrying out fitting regression, wherein the regression coefficient is more than or equal to 0.90;
step 4: calculating raw material parameters based on the strength design requirement, and determining the mixing ratio of the low-carbon mortar;
the method for determining the low-carbon mortar mixing ratio comprises the following steps:
(1) The strength design requirement value Y and the required related parameters comprise the proportion gamma of bagasse ash to precursor and the quantity R of sodium oxide substances N Ratio n of the amount of silica to sodium oxide material in the activator S/N Ratio of water to gelSelecting and substituting the intensity prediction model into the established intensity prediction model in the age T:
(2) Inverse solution to obtain raw material parameter general solution meeting strength design requirement
(3) And determining a group of special solutions as the low-carbon mortar mixing ratio based on the economic index and engineering reality.
CN202110894529.2A 2021-08-05 2021-08-05 Alkali-activated bagasse ash/slag low-carbon mortar mixing proportion design method based on strength regulation and control Active CN113742816B (en)

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