CN114171140A - Method for regulating and controlling carbonation performance of alkali-activated slag cement based on product composition design - Google Patents

Method for regulating and controlling carbonation performance of alkali-activated slag cement based on product composition design Download PDF

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CN114171140A
CN114171140A CN202111312210.0A CN202111312210A CN114171140A CN 114171140 A CN114171140 A CN 114171140A CN 202111312210 A CN202111312210 A CN 202111312210A CN 114171140 A CN114171140 A CN 114171140A
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李静
殷素红
余其俊
余康锋
曹文湘
陈正
余波
陶冶
罗莫淞
杨幸霖
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South China University of Technology SCUT
Guangxi University
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Abstract

The invention discloses a method for regulating and controlling the carbonation performance of alkali-activated slag cement based on product composition design, which comprises the following steps of: (1) analyzing the composition of reaction products of alkali-activated slag cement prepared from raw materials with different chemical compositions, wherein the reaction products comprise the aluminum-silicon ratio of the products, the content of hydrotalcite-like compound and the content of hydrated calcium aluminate; (2) establishing a reaction product composition prediction model based on raw material chemical composition regulation and control; (3) carrying out an accelerated carbonation test, and measuring the carbonation depth of the alkali-activated slag cement with different reaction product compositions at different carbonation stages; (4) and establishing an alkali-activated slag cement carbonization depth prediction model based on the composition of the reaction product, thereby providing an alkali-activated slag cement carbonization performance regulation and control method based on product composition design, and finally achieving the purpose of macro performance regulation and control through micro composition design.

Description

Method for regulating and controlling carbonation performance of alkali-activated slag cement based on product composition design
Technical Field
The invention belongs to the technical field of civil and architectural engineering, and particularly relates to a method for regulating and controlling the carbonization performance of alkali-activated slag cement based on product composition design.
Background
The alkali-activated slag cement is a cementing material which is formed by mixing and stirring slag with latent hydraulicity and an alkali activator, and coagulating and hardening the slag through a series of physical and chemical reactions. Compared with common Portland cement, the high-strength high. However, alkali-activated slag cement has poor carbonization resistance, and carbonization causes the pH value of a pore solution of an alkali-activated slag system to be reduced, products to be decomposed and steel bars to be corroded, and finally causes the service life of an alkali-activated slag structure to be reduced. Therefore, the accurate regulation and control of the anti-carbonization performance of the alkali-activated slag cement is the key to the application and popularization of the alkali-activated slag cement.
The product composition is one of the main reasons for determining the anti-carbonation performance of cement-based materials. The improvement of the anti-carbonization performance of the cement-based structure is mainly realized by reducing the water-gel ratio to slow down the diffusion rate of carbon dioxide or macroscopically improving the thickness of a cement-based material protective layer, the method is single, the multi-scale relation between the composition of a material product and the carbonization performance is not considered, and the correlation relation between the composition of the product and the anti-carbonization performance is not established, so that the method for regulating and controlling the material performance is difficult to be provided from the microcosmic composition design level.
Disclosure of Invention
Aiming at the problems, the invention provides a method for regulating and controlling the carbonation performance of alkali-activated slag cement based on product composition design. The method comprises the steps of obtaining an alkali-activated slag cement hardened body with similar pore structure and different product compositions by controlling the chemical composition of a powdery precursor and keeping the composition and the doping amount of an exciting agent unchanged, and further analyzing the relationship between the chemical composition of raw materials and the composition of a reaction product; carrying out an accelerated carbonization test, and determining the carbonization depth of the hardened body at different carbonization times so as to obtain the relationship between the composition of a reaction product and the carbonization performance; finally, the relationship among the chemical composition of the raw materials, the composition of the reaction product of the alkali-activated slag cement and the carbonization performance is established, and the method for regulating and controlling the carbonization performance of the alkali-activated slag cement based on the product composition design is provided, so that the aim of regulating and controlling the carbonization resistance of the alkali-activated slag cement based on the microcosmic composition is fulfilled.
In order to achieve the above object, the present invention provides a method for controlling carbonation performance of alkali-activated slag cement based on product composition design, which specifically comprises the following steps:
1. preparing alkali-activated slag cement by adopting raw materials with different chemical compositions;
2. quantitatively analyzing the main product composition in the alkali-activated slag cement, including the aluminum-silicon ratio of the product, the content of hydrotalcite-like compound and the content of hydrated calcium aluminate;
3. establishing a prediction model of the aluminum-silicon ratio, the hydrotalcite-like compound content and the hydrated calcium aluminate content of the alkali-activated slag cement reaction product composition based on the chemical composition of the raw materials, so as to determine the relationship between the raw material composition and the reaction product composition;
4. carrying out an alkali-activated slag cement accelerated carbonization experiment, measuring the carbonization depth of alkali-activated slag cement at different carbonization stages, and testing the carbonization depth of alkali-activated slag cement at different stages consisting of different raw materials according to GBJ82-85 'test method for long-term performance and durability of ordinary concrete';
5. the method comprises the steps of analyzing the relation between the composition of the reaction product of the alkali-activated slag cement and the carbonization depth, thereby providing a carbonization depth prediction model based on the composition of the reaction product of the alkali-activated slag cement, establishing the relation among the chemical composition of the raw material, the composition of the reaction product of the alkali-activated slag cement and the carbonization performance, and finally providing a method for regulating and controlling the carbonization performance of the alkali-activated slag cement based on the product composition design, so as to realize the purpose of regulating and controlling the macroscopic performance through the microscopic composition design.
The method for establishing the alkali-activated slag cement reaction product composition prediction model based on the chemical composition of the raw material so as to determine the relationship between the raw material composition and the reaction product composition comprises the following specific steps:
(1) selecting the content of silicon dioxide, the content of aluminum oxide, the content of magnesium oxide and the content of calcium oxide in the raw materials as independent variables, and respectively recording the independent variables as
Figure RE-GDA0003490429020000025
Figure RE-GDA0003490429020000026
RMgO、RCaOThe product Al/Si ratio (A/S), hydrotalcite-like compound content (MAH) and calcium aluminate hydrate Content (CAH) are respectively marked as RA/S、RMAH、RCAH；
(2) Combining the independent variable and the dependent variable selected in the step (1) to respectively establish the following unknown parameters a1～c3R of (A) to (B)A/S、RMAH、 RCAHAnd (3) prediction model:
Figure RE-GDA0003490429020000021
(3) based on the principle of least square method, substituting different raw material chemical compositions and product compositions into a prediction model to solve unknown parameters, comprising the following steps:
the established prediction models are uniformly recorded as follows:
Y＝aZ1+bZ2+c
based on RA/S、RMAH、RCAHThe number m of data sets lists the correspondingNormal equation:
Figure RE-GDA0003490429020000022
substituting chemical composition parameters of raw materials and composition data of reaction products into normal equation to solve unknown parameters a1～c3。
(4) A obtained by calculation in (3)1～c3Substituting the prediction model into the established prediction model to respectively obtain a prediction model of the aluminum-silicon ratio (A/S), the hydrotalcite-like compound content (MAH) and the calcium aluminate hydrate Content (CAH) of the product;
(5) according to the prediction model obtained in the step (4), the predicted values of the aluminum-silicon ratio (A/S), the hydrotalcite-like compound content (MAH) and the calcium aluminate hydrate Content (CAH) of the product can be calculated according to the chemical composition of the raw materials;
(6) and (5) comparing and analyzing the predicted values and the measured values of the aluminum-silicon ratio (A/S), the hydrotalcite-like compound content (MAH) and the calcium aluminate hydrate Content (CAH) of the product in the step (5), and performing fitting regression, wherein the regression coefficient is preferably more than or equal to 0.90.
The method comprises the following steps of establishing a carbonization depth prediction model based on alkali-activated slag cement reaction product composition, establishing a relation among a raw material chemical composition, the alkali-activated slag cement reaction product composition and carbonization performance, and finally providing an alkali-activated slag cement carbonization performance regulation and control method based on product composition design, wherein the method comprises the following specific steps:
(1) selecting the aluminum-silicon ratio (A/S), hydrotalcite-like compound content (MAH), calcium aluminate hydrate Content (CAH) and age of a reaction product as independent variables, and respectively recording the independent variables as RA/S、RMAH、RCAHT, carbonization depth as a dependent variable, and is denoted as xc；
(2) Combining the independent variable and the dependent variable selected in the step (1), and establishing the following carbonization depth prediction model containing unknown parameters a-e:
Figure RE-GDA0003490429020000031
(3) based on the principle of a least square method, substituting product composition parameters and carbonization depth values of different ages into a carbonization depth prediction model to solve unknown parameters, and specifically comprising the following steps:
the established prediction model is developed and sorted to obtain:
Figure RE-GDA0003490429020000032
② order
Figure RE-GDA0003490429020000033
Obtaining:
xc＝aZ1+bZ2+cZ3+dZ4+e
thirdly, listing a corresponding normal equation based on the number m of the carbonization depth data sets:
Figure RE-GDA0003490429020000034
and fourthly, substituting the product composition parameters and the carbonization depth values of different ages into a normal equation to solve the unknown parameters a to e.
(4) Substituting the a-e obtained by calculation in the step (3) into the established prediction model to obtain a carbonization depth prediction model;
(5) calculating to obtain a carbonization depth predicted value according to the prediction model obtained in the step (4);
(6) and (5) comparing and analyzing the predicted value and the measured value of the carbonization depth in the step (5), and performing fitting regression, wherein the regression coefficient is preferably more than or equal to 0.90.
Compared with the prior art, the invention has the following beneficial effects:
the method clarifies the relationship between the composition of the alkali-activated slag cement product and the anti-carbonization performance, and establishes a carbonization depth prediction model based on the composition of the alkali-activated slag cement product, thereby achieving the purpose of regulating the anti-carbonization performance of the alkali-activated slag cement based on the composition of the product.
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FIG. 1 is a comparison graph of the measured value and the predicted value of the A/S product.
FIG. 2 is a comparison graph of the measured value and the predicted value of the MAH content.
FIG. 3 is a comparison graph of measured and predicted CAH content.
Fig. 4 is a comparison graph of measured and predicted values of the carbonization depth.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following embodiments are further described in detail.
Example 1
In this embodiment, the method for designing and controlling the carbonation performance of alkali-activated slag cement based on the product composition includes the following steps:
the method comprises the following steps: the alkali-activated slag cement is prepared from raw materials with different chemical compositions, and the preparation method specifically comprises the following steps:
(1) weighing sodium hydroxide and water with certain mass according to the raw material mixing ratio shown in the table 1, mixing, stirring, dissolving and preparing the required alkaline activator solution, and standing for later use;
(2) according to the raw material mixing ratio shown in the table 1, powder precursors with different chemical compositions are prepared for standby;
(3) according to a GB/T17671-1999 cement mortar strength test method, the powdery precursor, the alkaline activator and the sand are mixed to prepare the alkali-activated slag cement with different raw material compositions.
TABLE 1 raw material mixing ratio
Figure RE-GDA0003490429020000041
Figure RE-GDA0003490429020000051
Step two: the main product composition in the alkali-activated slag cement is quantitatively analyzed, and the method specifically comprises the following steps of analyzing the aluminum-silicon ratio of the product, the content of hydrotalcite-like compound and the content of hydrated calcium aluminate:
the results of the composition test of the alkali-activated slag cement products of different raw material compositions are shown in table 2.
TABLE 2 composition of alkali-activated slag cement products of different raw material compositions
Figure RE-GDA0003490429020000052
Step three: establishing a prediction model of the aluminum-silicon ratio, the hydrotalcite-like compound content and the hydrated calcium aluminate content of the alkali-activated slag cement reaction product composition based on the chemical composition of the raw materials so as to determine the relationship between the raw material composition and the reaction product composition, and the specific steps comprise:
(1) selecting the content of silicon dioxide, the content of aluminum oxide, the content of magnesium oxide and the content of calcium oxide in the raw materials as independent variables, and respectively recording the independent variables as
Figure RE-GDA0003490429020000053
Figure RE-GDA0003490429020000054
RMgO、RCaOThe Al/Si ratio (A/S), hydrotalcite-like compound content (MAH), and calcium aluminate hydrate Content (CAH) are respectively marked as RA/S、RMAH、RCAH；
(2) Combining the independent variable and the dependent variable selected in the step (1) to respectively establish the following unknown parameters a1～c3R of (A) to (B)A/S、RMAH、 RCAHAnd (3) prediction model:
Figure RE-GDA0003490429020000061
(3) based on the principle of least square method, substituting different raw material chemical compositions and product compositions into a prediction model to solve unknown parameters, comprising the following steps:
the established prediction models are uniformly recorded as follows:
Y＝aZ1+bZ2+c
based on RA/S、RMAH、RCAHThe 7 sets of data in (c) list the corresponding normal equations:
Figure RE-GDA0003490429020000062
substituting the data in the table 3 into the normal equation in the table II to solve the unknown parameter a1～c3Obtaining:
Figure RE-GDA0003490429020000063
(4) a obtained by calculation in (3)1～c3Substituting into the established prediction model to obtain:
Figure RE-GDA0003490429020000064
(5) according to the prediction model obtained in the step (4), the predicted values of the aluminum-silicon ratio, the hydrotalcite-like compound content and the hydrated calcium aluminate content of the product are obtained through calculation, and are shown in a table 3
TABLE 3 chemical composition of raw materials and Al/Si ratio, hydrotalcite-like compound content and hydrated calcium aluminate content of the product
Figure RE-GDA0003490429020000065
(6) Comparing and analyzing the measured values and the predicted values of the aluminum-silicon ratio, the hydrotalcite-like compound content and the hydrated calcium aluminate content of the product in the step (5), and obtaining R through linear fitting according to the chart in figures 1-320.998, 0.976 and 0.992 respectively, which shows that the accuracy of the established model is higher.
The model establishes the relation between the chemical composition of the raw materials and the aluminum-silicon ratio, the hydrotalcite-like compound content and the hydrated calcium aluminate content of the product. The established model shows that the content of magnesium oxide in the raw materials has a remarkable influence on the generation amount of hydrotalcite-like compound, and the content of aluminum oxide has a remarkable influence on the generation amount of hydrated calcium aluminate.
Step four: carrying out an alkali-activated slag cement accelerated carbonization experiment, and measuring the carbonization depth of the alkali-activated slag cement at different carbonization ages:
the results of the alkali-activated slag cement carbonation depth test using raw materials of different chemical compositions are shown in table 4.
TABLE 4 carbonation depth of alkali-activated slag cements prepared from raw materials of different chemical compositions
Figure RE-GDA0003490429020000071
Step five: analyzing the relation between the composition and the carbonization depth of the reaction product of the alkali-activated slag cement, thereby providing a carbonization depth prediction model based on the composition of the reaction product of the alkali-activated slag cement, establishing the relation among the chemical composition of the raw material, the composition and the carbonization performance of the reaction product of the alkali-activated slag cement, and finally providing a method for regulating and controlling the carbonization performance of the alkali-activated slag cement based on the composition design of the product, so as to realize the purpose of regulating and controlling the macroscopic performance through the design of the microscopic composition, and the method comprises the following specific steps:
(1) selecting the aluminum-silicon ratio (A/S), hydrotalcite-like compound content (MAH), calcium aluminate hydrate Content (CAH) and age of a reaction product as independent variables, and respectively recording the independent variables as RA/S、RMAH、RCAHT, carbonization depth as a dependent variable, and is denoted as xc；
(2) Combining the independent variable and the dependent variable selected in the step (1), and establishing the following carbonization depth prediction model containing unknown parameters a-e:
Figure RE-GDA0003490429020000072
(3) based on the principle of least square method, substituting the raw material composition parameters and the carbonization depth values of different ages of alkali-activated slag cement into a carbonization depth prediction model to solve unknown parameters, and the method specifically comprises the following steps: :
the established prediction model is developed and sorted to obtain:
Figure RE-GDA0003490429020000073
② order
Figure RE-GDA0003490429020000081
Obtaining:
xc＝aZ1+bZ2+cZ3+dZ4+e
listing a corresponding normal equation based on 28 sets of carbonization depth data:
Figure RE-GDA0003490429020000082
substituting the data in the table 5 into a normal equation in the third step, and solving unknown parameters a-e to obtain:
a＝-3.41,b＝-0.02,c＝0.31,d＝-0.86,e＝-0.23
(4) substituting the a-e obtained by calculation in the step (3) into the established prediction model to obtain:
Figure RE-GDA0003490429020000083
the model establishes the relation among the aluminum-silicon ratio (A/S), the hydrotalcite-like compound content (M-A-H), the hydrated calcium aluminate content (C-A-H) and the age and the carbonization depth of the reaction product, thereby realizing the regulation and control of macroscopic performance (carbonization resistance) through the composition design of the product.
(5) Calculating to obtain a predicted value of the carbonization depth according to the prediction model obtained in the step (4), and referring to Table 5
TABLE 5 carbonization depths of different ages with different product compositions
Figure RE-GDA0003490429020000084
Figure RE-GDA0003490429020000091
(6) And (5) comparing and analyzing the predicted value and the measured value of the carbonation depth in the step (5), see fig. 4, and obtaining R through linear fitting2The matching degree of the predicted value and the measured value is high, the accuracy of the model is high, the connection accuracy of the composition of the established alkali-activated slag cement product and the carbonization depth is high, and the macro performance (carbonization resistance) can be designed and controlled based on the composition of the micro product, so that the model has important significance.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not therefore to be construed as limiting the scope of the present invention, and all modifications and variations that are within the spirit and scope of the invention are therefore considered to be within the scope of the invention as defined by the appended claims.

Claims (3)

1. A method for regulating and controlling the carbonation performance of alkali-activated slag cement based on product composition design is characterized by comprising the following steps:
(1) preparing alkali-activated slag cement by adopting raw materials with different chemical compositions;
(2) quantitatively analyzing the main product composition in the alkali-activated slag cement, including the aluminum-silicon ratio of the product, the content of hydrotalcite-like compound and the content of hydrated calcium aluminate;
(3) establishing a prediction model of the aluminum-silicon ratio, the hydrotalcite-like compound content and the hydrated calcium aluminate content of the alkali-activated slag cement reaction product composition based on the chemical composition of the raw materials, so as to determine the relationship between the raw material composition and the reaction product composition;
(4) carrying out an alkali-activated slag cement accelerated carbonization experiment, and measuring the carbonization depth of the alkali-activated slag cement at different carbonization ages;
(5) the method comprises the steps of analyzing the relation between the composition of the reaction product of the alkali-activated slag cement and the carbonization depth, thereby providing a carbonization depth prediction model based on the composition of the reaction product of the alkali-activated slag cement, establishing the relation among the chemical composition of the raw material, the composition of the reaction product of the alkali-activated slag cement and the carbonization performance, and finally providing a method for regulating and controlling the carbonization performance of the alkali-activated slag cement based on the product composition design, so as to realize the purpose of regulating and controlling the macroscopic performance through the microscopic composition design.
2. The method for regulating and controlling carbonization performance of alkali-activated slag cement designed based on product composition as claimed in claim 1, wherein the establishing of a model for predicting the composition of reaction product of alkali-activated slag cement based on chemical composition of raw material to determine the relationship between the composition of raw material and the composition of reaction product comprises:
(1) selecting the content of silicon dioxide, the content of aluminum oxide, the content of magnesium oxide and the content of calcium oxide in the raw materials as independent variables, and respectively recording the independent variables as
Figure FDA0003342067610000011
RMgO、RCaOThe product Al/Si ratio (A/S), hydrotalcite-like compound content (MAH) and calcium aluminate hydrate Content (CAH) are respectively marked as RA/S、RMAH、RCAH；
(2) Combining the independent variable and the dependent variable selected in the step (1) to respectively establish the following unknown parameters a1～c3R of (A) to (B)A/S、RMAH、RCAHAnd (3) prediction model:
Figure FDA0003342067610000012
(3) based on the principle of least square method, substituting different raw material chemical compositions and product compositions into a prediction model to solve unknown parameters, comprising the following steps:
the established prediction models are uniformly recorded as follows:
Y＝aZ1+bZ2+c
based on RA/S、RMAH、RCAHThe number of data sets m lists the corresponding normal equation:
Figure FDA0003342067610000021
substituting chemical composition parameters of raw materials and composition data of reaction products into normal equation to solve unknown parameters a1～c3。
(4) A obtained by calculation in (3)1～c3Substituting the prediction model into the established prediction model to respectively obtain a prediction model of the aluminum-silicon ratio (A/S), the hydrotalcite-like compound content (MAH) and the calcium aluminate hydrate Content (CAH) of the product;
(5) according to the prediction model obtained in the step (4), the predicted values of the aluminum-silicon ratio (A/S), the hydrotalcite-like compound content (MAH) and the calcium aluminate hydrate Content (CAH) of the product can be calculated according to the chemical composition of the raw materials;
(6) and (5) comparing and analyzing the predicted values and the measured values of the aluminum-silicon ratio (A/S), the hydrotalcite-like compound content (MAH) and the calcium aluminate hydrate Content (CAH) of the product in the step (5), and performing fitting regression, wherein the regression coefficient is preferably more than or equal to 0.90.
3. The method for regulating and controlling the carbonation performance of alkali-activated slag cement according to claim 1, wherein the establishing of the model for predicting the carbonation depth based on the reaction product composition of alkali-activated slag cement, the establishing of the relationship among the chemical composition of the raw material, the reaction product composition of alkali-activated slag cement and the carbonation performance, and the final establishing of the method for regulating and controlling the carbonation performance of alkali-activated slag cement based on the product composition comprises the following steps:
(1) selecting the aluminum-silicon ratio (A/S), hydrotalcite-like compound content (MAH), calcium aluminate hydrate Content (CAH) and age of a reaction product as independent variables, and respectively recording the independent variables as RA/S、RMAH、RCAHT, carbonization depth as a dependent variable, and is denoted as xc；
(2) Combining the independent variable and the dependent variable selected in the step (1), and establishing the following carbonization depth prediction model containing unknown parameters a-e:
Figure FDA0003342067610000022
(3) based on the principle of a least square method, substituting product composition parameters and carbonization depth values of different ages into a carbonization depth prediction model to solve unknown parameters, and specifically comprising the following steps:
the established prediction model is developed and sorted to obtain:
Figure FDA0003342067610000023
② order
Figure FDA0003342067610000024
Obtaining:
xc＝aZ1+bZ2+cZ3+dZ4+e
thirdly, listing a corresponding normal equation based on the number m of the carbonization depth data sets:
Figure FDA0003342067610000031
and fourthly, substituting the product composition parameters and the carbonization depth values of different ages into a normal equation to solve the unknown parameters a to e.
(4) Substituting the a-e obtained by calculation in the step (3) into the established prediction model to obtain a carbonization depth prediction model;
(5) calculating to obtain a carbonization depth predicted value according to the prediction model obtained in the step (4);
(6) and (5) comparing and analyzing the predicted value and the measured value of the carbonization depth in the step (5), and performing fitting regression, wherein the regression coefficient is preferably more than or equal to 0.90.
CN202111312210.0A 2021-11-08 2021-11-08 Method for regulating and controlling carbonation performance of alkali-activated slag cement based on product composition design Pending CN114171140A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115650645A (en) * 2022-11-01 2023-01-31 中国建筑第六工程局有限公司 Fly ash-slag powder based geopolymer concrete mix proportion design method
CN115650645B (en) * 2022-11-01 2023-08-01 中国建筑第六工程局有限公司 Method for designing mixing ratio of fly ash-slag powder base polymer concrete
CN117342849A (en) * 2023-12-04 2024-01-05 北京慕湖外加剂有限公司 Concrete for tubular pile, compressive steaming-free prestressed concrete tubular pile and tubular pile preparation method
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