CN114169567A - Cement clinker performance prediction method - Google Patents

Cement clinker performance prediction method Download PDF

Info

Publication number
CN114169567A
CN114169567A CN202111265869.5A CN202111265869A CN114169567A CN 114169567 A CN114169567 A CN 114169567A CN 202111265869 A CN202111265869 A CN 202111265869A CN 114169567 A CN114169567 A CN 114169567A
Authority
CN
China
Prior art keywords
mgo
cement clinker
cao
clinker
performance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111265869.5A
Other languages
Chinese (zh)
Inventor
李方忠
郭自刚
王晓英
孔令强
陈宏�
王立彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bbmg Cement Co ltd
Original Assignee
Bbmg Cement Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bbmg Cement Co ltd filed Critical Bbmg Cement Co ltd
Priority to CN202111265869.5A priority Critical patent/CN114169567A/en
Publication of CN114169567A publication Critical patent/CN114169567A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • 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
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Computational Mathematics (AREA)
  • Marketing (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Manufacturing & Machinery (AREA)
  • Software Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Algebra (AREA)
  • Primary Health Care (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

The application discloses a cement clinker performance prediction method, which belongs to the technical field of cement materials, and adopts the technical scheme that (1) a representative cement clinker sample is selected, and the physical and chemical performance tests and analysis of the cement clinker are carried out according to the current national standard to obtain the chemical component analysis data and the basic physical performance actual measurement performance data of the cement clinker; (2) determining influence factors influencing the basic physical properties of the cement clinker, and calculating corresponding data in the influence factors of the basic physical properties of the representative cement clinker sample; (3) establishing a matrix equation; (31) establishing an independent variable matrix x; (32) establishing a dependent variable matrix y; (33) establishing a coefficient matrix: solving a coefficient matrix of (n +1) rows and columns including n influencing factors and a constant term; (5) the cement clinker performance prediction calculation formula is as follows: y = a1x1+a2x2……anxn+ b, so as to achieve the basic physical properties enabling a rapid prediction of the cement clinker.

Description

Cement clinker performance prediction method
Technical Field
The application relates to the technical field of cement, in particular to a cement clinker performance prediction method.
Background
The cement clinker is prepared by using limestone, clay and iron raw materials as main raw materials, grinding the raw materials into raw materials according to a certain proportion, calcining the raw materials and cooling the raw materials to obtain the cement clinker, and under the condition that the calcining temperature, the calcining atmosphere and the clinker cooling basically meet the normal requirements of clinker production, the main factors influencing the clinker strength are chemical components, mineral components and quantity of the clinker and the mutual proportion of the chemical components, and the mutual proportion of the clinker chemical components and the chemical components determines the internal conditions (the quantity of a liquid phase, the solid-liquid ratio, the liquid phase viscosity, the liquid phase PH value and the liquid phase surface tension) of the cement solid phase reaction, and also determines the quantity, the structure, the weight, the like of the like, Size, etc., and ultimately react on various properties of the cement clinker.
The existing evaluation of the performance of cement clinker (particularly the strength of the cement clinker) has certain hysteresis, the strength of the cement clinker needs to obtain the strength of 3 days and 28 days and the like after the cement clinker is ground to a specified specific surface area according to a method specified in GB175, and is molded into a cement mortar test block and cured to a specified age and broken, and a rapid curing method is also provided, wherein the cement mortar test block is rapidly cured by a rapid curing box so as to predict the strength of 3 days and 28 days of cement, and the strength of the cement clinker can be known in advance by the latter method compared with the former method for 3 days and 28 days.
Disclosure of Invention
The application provides a cement clinker performance prediction method, which determines the influence factors of the effective components in the cement clinker on products including main minerals of the cement clinker in the solid-phase reaction process of the cement clinker through reasonable combination, thereby achieving the purpose of rapidly predicting the basic physical performance of the cement clinker.
The technical scheme adopted by the cement clinker performance prediction method provided by the application is as follows:
a cement clinker performance prediction method comprises the following steps:
(1) selecting a representative cement clinker sample, and testing and analyzing the physical and chemical properties of the cement clinker according to the current national standard to obtain chemical component analysis data and basic physical property actual measurement performance data of the cement clinker;
(2) determining influence factors influencing the basic physical properties of the cement clinker, and calculating corresponding data in the influence factors of the basic physical properties of the representative cement clinker sample;
(3) establishing a matrix equation
(31) Establishing an independent variable matrix: selecting n +1 representative cement clinker samples and data of influence factors influencing basic physical properties of cement clinker in each sample, corresponding the clinker samples in rows, corresponding the data of the influence factors and constant terms in the samples in columns, establishing the data of the n influence factors and an (n +1) × (n +1) independent variable matrix including one constant term, wherein the constant term is 1;
(32) establishing a dependent variable matrix: establishing a dependent variable matrix of (n +1) rows and columns according to the row corresponding to the clinker sample and the basic physical properties of the cement clinker;
(33) establishing a coefficient matrix: solving the coefficient matrixes of (n +1) rows and one column including n influencing factors and one constant term by using a matrix equation, wherein the data of each row in the coefficient matrixes of (n +1) rows and one column is the quantized data of each column of influencing factors and one constant term in each row in the (n +1) x (n +1) independent variable matrix;
(4) defining each column in the dependent variable matrix of the (n +1) rows and the (n +1) columns as y; defining each column independent variable factor in independent variable matrix of (n +1) × (n +1) as x1、x2、x3……xn(ii) a Defining the coefficient matrix of the (n +1) rows and the columns as a by rows1、a2、a3……anDefining a constant term as b;
(5) the cement clinker performance prediction calculation formula is as follows:
y=a1x1+a2x2+a3x3+……anxn+b。
preferably, the influencing factors influencing the basic physical properties of the cement clinker in the step (2) are CaO and SiO2、Al2O3、Fe2O3、K2O、Na2O、SO3、Cl-、MgO、f-CaO、R2O、C3S、C3A、C2S、C4AF、CaO/SiO2、(CaO+SiO2)/(Al2O3+Fe2O3+MgO)、(CaO+SiO2)/(Al2O3+Fe2O3)、(Al2O3+Fe2O3)/MgO、Al2O3/Fe2O3、SO3/R2O、SO3/K2O、SO3/Na2O、K2O/Na2O、SO3/MgO、SO3/(Al2O3+Fe2O3+MgO)、K2O/(Al2O3+Fe2O3+MgO)、Na2O/(Al2O3+Fe2O3+MgO)、Cl-/Na2O、S-MgO、f-MgO、KH、KH-、N、P;
Wherein CaO/SiO2、(CaO+SiO2)/(Al2O3+Fe2O3+MgO)、(CaO+SiO2)/(Al2O3+Fe2O3)、(Al2O3+Fe2O3)/MgO、Al2O3/Fe2O3、SO3/R2O、SO3/K2O、SO3/Na2O、K2O/Na2O、SO3/MgO、SO3/(Al2O3+Fe2O3+MgO)、K2O/(Al2O3+Fe2O3+MgO)、Na2O/(Al2O3+Fe2O3+MgO)、Cl-/Na2O is the molar ratio;
CaO、SiO2、Al2O3、Fe2O3、K2O、Na2O、SO3、Cl-MgO and f-CaO represent the mass percentage content of the raw materials in clinker, and the specific content is directly measured according to the method specified in GB 176;
KH、KH-n, P, indicating clinker rate values, calculated from the chemical composition, wherein:
KH=(CaO-1.65*Al2O3-0.35*Fe2O3)/(2.8*SiO2)
KH-=(CaO-f-CaO-1.65*Al2O3-0.35*Fe2O3)/(2.8*SiO2)
N=CaO/(Al2O3+Fe2O3)
P=Al2O3/Fe2O3
preferably, said C3S、C3A、C2S、C4AF is the four main minerals of clinker, the content of which is calculated by the following formula:
C3S=3.8*(3*KH--2)*CaO
C2S=8.6*(1-KH)*CaO
C3A=2.65*(Al2O3-0.64*Fe2O3)
C4AF=3.04*Fe2O3
preferably, the S-MgO is a mass percentage content of MgO solid-dissolved in four main minerals in clinker, and the calculation formula is as follows: S-MgO ═ 0.015 ═ C3S+0.007*C2S+0.02*C3A+0.045*C4And AF, if the mass percentage of the S-MgO is larger than that of the MgO, the mass percentage of the S-MgO is the mass percentage of the MgO.
Preferably, the f-MgO calculation formula is MgO-MgO (S-MgO).
Preferably, said R is2O is the mass percentage content of the clinker basic oxide in the clinker, whichThe calculation formula is R2O=Na2O+0.658K2O。
Preferably, the cement clinker properties include one of 3-day strength, 28-day strength, setting time, heat of hydration, grinding time.
Preferably, when the independent variable matrix is established, the independent variable matrix of (n +2) × (n +2) containing the data of the n influencing factors and two columns of constant items is established, and the two columns of constant items are sequentially crossed in rows and are set as 0 or 1.
In summary, the present application has the following beneficial effects:
1. a representative cement clinker sample is selected, and physical and chemical performance tests and analysis of the cement clinker are carried out according to the current national standard, so that chemical component analysis data and basic physical performance actual measurement performance data of the cement clinker are obtained. Scientifically, thinly and definitely determining factors influencing the basic physical performance of the cement clinker according to the chemical component analysis data of the cement clinker and a certain method, calculating data corresponding to each influencing factor of the basic physical performance of a representative cement clinker sample, and establishing a (n +1) row-column dependent variable matrix according to the actually measured data of the clinker performance; establishing an (n +1) × (n +1) independent variable matrix composed of data containing n influencing factors and a constant term; and solving a column coefficient matrix of (n +1) rows including n influencing factors and a constant term by using a matrix equation. The result of the coefficient matrix is the quantification of the influence of each influence factor on the performance of the cement clinker, and the influence factors are selected and the quantified influence relationship of the influence factors on the performance of the cement clinker is obtained, so that the performance of the cement clinker can be rapidly predicted.
2. Under the condition that the calcination temperature, the calcination atmosphere and the fuel cooling of a cement production system can basically meet the factory requirements of clinker production, the performance of the cement clinker such as 3-day strength, 28-day strength, setting time, hydration heat, grinding time and the like can be predicted by adopting the prediction method of the cement clinker performance.
3. The last two columns in the matrix of the cement strength factor are set as constant items, the constant items in the two columns are sequentially set to be 0 or 1 in a crossed mode according to rows, and the inverse matrix of the whole matrix equation is effectively guaranteed not to be 0.
Detailed Description
The present application will be described in further detail with reference to examples.
And (3) predicting the performance of the cement clinker on the premise that the cement calcination temperature, the calcination atmosphere and the clinker cooling condition meet normal requirements.
A cement clinker performance prediction method comprises the following steps:
(1) selecting a representative cement clinker sample, and testing and analyzing the physical and chemical properties of the cement clinker according to the current national standard to obtain chemical component analysis data and basic physical property actual measurement performance data of the cement clinker;
(2) determining influence factors influencing the basic physical properties of the cement clinker, and then calculating the content of each influence factor influencing the basic physical properties;
the factors influencing the performance of the cement clinker include: CaO, SiO2、Al2O3、Fe2O3、K2O、Na2O、SO3、Cl-、MgO、f-CaO、R2O、C3S、C3A、C2S、C4AF、CaO/SiO2、(CaO+SiO2)/(Al2O3+Fe2O3+MgO)、(CaO+SiO2)/(Al2O3+Fe2O3)、(Al2O3+Fe2O3)/MgO、Al2O3/Fe2O3、SO3/R2O、SO3/K2O、SO3/Na2O、K2O/Na2O、SO3/MgO、SO3/(Al2O3+Fe2O3+MgO)、K2O/(Al2O3+Fe2O3+MgO)、Na2O/(Al2O3+Fe2O3+MgO)、Cl-/Na2O、S-MgO、f-MgO、KH、KH-、N、P;
Wherein, the content of each influencing factor influencing the basic physical property is calculated in the following way:
(1)CaO、SiO2、Al2O3、Fe2O3、K2O、Na2O、SO3、Cl-MgO and f-CaO represent the mass percentage content of the raw materials in clinker, and the specific content is directly measured according to the method specified in GB 176;
(2)R2o is the mass percentage content of the clinker basic oxide in the clinker, and the calculation formula is R2O=Na2O+0.658K2O;
(3)C3S、C3A、C2S、C4AF is the four main minerals of clinker, the content of which is calculated by the following formula:
C3S=3.8*(3*KH--2)*CaO
C2S=8.6*(1-KH)*CaO
C3A=2.65*(Al2O3-0.64*Fe2O3)
C4AF=3.04*Fe2O3
(4)CaO/SiO2、(CaO+SiO2)/(Al2O3+Fe2O3+MgO)、(CaO+SiO2)/(Al2O3+Fe2O3)、(Al2O3+Fe2O3)/MgO、Al2O3/Fe2O3、SO3/R2O、SO3/K2O、SO3/Na2O、K2O/Na2O、SO3/MgO、SO3/(Al2O3+Fe2O3+MgO)、K2O/(Al2O3+Fe2O3+MgO)、Na2O/(Al2O3+Fe2O3+MgO)、Cl-/Na2o is the molar ratio;
namely CaO/SiO2Has a molar ratio of (CaO/56)/(SiO)2/60);
(CaO+SiO2)/(Al2O3+Fe2O3+ MgO) in a molar ratio of (CaO/56+ SiO2/60)/(Al2O3/102+Fe2O3/160+MgO/40);
(CaO+SiO2)/(Al2O3+Fe2O3) Has a molar ratio of (CaO/56+ SiO)2/60)/(Al2O3/102+Fe2O3/160);
(Al2O3+Fe2O3) A molar ratio of (Al)/MgO of2O3/102+Fe2O3/160)/(MgO/40);
Al2O3/Fe2O3Has a molar ratio of (Al)2O3/102)/(Fe2O3/160);
SO3/K2The molar ratio of O is (SO)3/80)/(K2O/39);
SO3/Na2The molar ratio of O is (SO)3/80)/(Na2O/62);
K2O/Na2The molar ratio of O is (K)2O/39)/(Na2O/62);
SO3The molar ratio of/MgO is (SO)3/80)/(MgO/40);
SO3/(Al2O3+Fe2O3+ MgO) in a molar ratio of (SO)3/80)/(Al2O3/102+Fe2O3/160+MgO/40);
K2O/(Al2O3+Fe2O3+ MgO) in a molar ratio of (K)2O/39)/(Al2O3/102+Fe2O3/160+MgO/40);
Na2O/(Al2O3+Fe2O3+ MgO) in a molar ratio of (Na)2O/62)/(Al2O3/102+Fe2O3/160+MgO/40);
Cl-/Na2The molar ratio of O is (Cl)-/35.5)/(Na2O/62);
(5) S-MgO is clinkerThe mass percentage of MgO dissolved in four main minerals is as follows: S-MgO ═ 0.015 ═ C3S+0.007*C2S+0.02*C3A+0.045*C4AF, if the mass percentage of the S-MgO is larger than that of the MgO, the mass percentage of the S-MgO is the mass percentage of the MgO;
(6) the calculation formula of f-MgO is MgO- (S-MgO);
(7)KH、KH-n, P, indicating clinker rate values, calculated from the chemical composition, wherein:
KH=(CaO-1.65*Al2O3-0.35*Fe2O3)/(2.8*SiO2)
KH-=(CaO-f-CaO-1.65*Al2O3-0.35*Fe2O3)/(2.8*SiO2)
N=CaO/(Al2O3+Fe2O3)
P=Al2O3/Fe2O3
(3) establishing a matrix equation
(31) Establishing an independent variable matrix: selecting n +1 representative cement clinker samples and the data of the influence factors, corresponding the clinker samples in rows, corresponding the data of the influence factors in the samples in columns and constant items, establishing the data of the n influence factors and an independent variable matrix of (n +1) × (n +1) including one constant item, wherein the constant item is 1;
(32) establishing a dependent variable matrix: establishing a dependent variable matrix of (n +1) rows and columns according to the row corresponding to the clinker sample and the basic physical properties of the cement clinker;
(33) establishing a coefficient matrix: solving the coefficient matrixes of (n +1) rows and one column including n influencing factors and one constant term by using a matrix equation, wherein the data of each row in the coefficient matrixes of (n +1) rows and one column is the quantized data of each column of influencing factors and one constant term in each row in the (n +1) x (n +1) independent variable matrix;
(4) defining each column in the dependent variable matrix of the (n +1) rows and the (n +1) columns as y; defining each column independent variable factor in independent variable matrix of (n +1) × (n +1) as x1、x2、x3……xn(ii) a Defining the coefficient matrix of the (n +1) rows and the columns as a by rows1、a2、a3……anDefining a constant term as b;
(5) the cement clinker performance prediction calculation formula is as follows:
y=a1x1+a2x2+a3x3+……anxn+b。
predictive performance testing
Example 1
The 3-day compressive strength of the clinker can be predicted by selecting the components in the chemical analysis of the cement clinker in the tables 1-2 of the application and selecting the factors which are more critical to the performance influence of the cement clinker, for example, selecting C in the application3S、C2S、C3A、C4AF、K2O、Na2O、SO3、Cl-、MgO、f-CaO、SO3/R2O、SO3A total of 12 influencing factors of/MgO, which are sequentially defined as X1……X12A constant term is defined as b, wherein C3S、C2S、C3A、C4AF、SO3/R2O、SO3The values of/MgO were obtained by calculation and are not shown in the table below. And (3) establishing a corresponding matrix equation by adopting 14 samples in the 60 representative clinker samples, wherein the last two columns in the matrix equation are respectively constant terms which are arranged in a 0 or 1 crossed mode, namely the sum of the constant terms in each row is 1. A group of representative solutions including the influence factors and constant terms of the 3-day compressive strength of the clinker are obtained by solving a matrix equation, and the results are shown in a table 1-1.
TABLE 1-1 Clinker 3-day compressive strength influencing factor coefficient
Influencing factor Influencing factor Coefficient of influence
C3S X1 0.47191
C2S X2 0.05428
C3A X3 0.89698
C4AF X4 0.11976
K2O X5 7.54588
Na2O X6 6.99240
SO3 X7 -5.68075
Cl- X8 -37.76594
MgO X9 0.09180
f-CaO X10 1.03669
SO3/R2O X11 8.51521
SO3/MgO X12 -14.44483
Constant term b -13.95882
According to the data in the table 1-1, a mathematical model for predicting the 3-day compressive strength of the clinker is established:
y=0.47191×C3S+0.05428×C2S+0.89698×C3A+0.11976×C4AF+7.54588×K2O+6.99240×Na2O-5.68075×SO3-37.76594×Cl-+0.09180×MgO+1.03669×f-CaO+8.51521×(SO3/R2O)-14.44483×(SO3/MgO)-13.95882
in the formula: predicted value of 3-day compressive strength of y-cement clinker
The chemical analysis and compressive strength measured values of representative clinker are shown in tables 1-2
TABLE 1-2 chemical analysis of Cement Clinker and actual measurement of 3 days/28 days compressive Strength
Figure BDA0003326909700000071
Figure BDA0003326909700000081
The results of the predicted value of the 3-day compressive strength prediction mathematical model of the cement clinker and the measured value of the 3-day compressive strength of the cement clinker are shown in tables 1-3.
TABLE 1-3 measured and predicted values of 3-day compressive strength of cement clinker
Figure BDA0003326909700000082
Figure BDA0003326909700000091
Example 2
Predicting the 28-day compressive strength of clinker, selecting C3S、C2S、C3A、C4AF、K2O、Na2O、SO3、Cl-、MgO、f-CaO、SO3/R2O、SO3A total of 12 influencing factors of/MgO, which are sequentially defined as X1……X12And defining the constant term as b, and establishing a corresponding matrix equation by adopting 14 samples in 60 representative clinker samples, wherein the last two columns in the matrix equation are respectively constant terms which are arranged in a cross way of 0 or 1, namely the sum of the constant terms in each row is 1. A representative set of solutions including the 28-day compressive strength influencing factors and constant terms of the clinker are obtained by solving a matrix equation, and the results are shown in a table 2-1.
TABLE 2-1 coefficients of 28-day compressive strength influencing factors of clinker
Influencing factor Influencing factor Coefficient of influence
C3S X1 0.48809
C2S X2 0.32763
C3A X3 -1.05485
C4AF X4 -1.32973
K2O X5 -10.18937
Na2O X6 -12.57664
SO3 X7 0.55301
Cl- X8 -70.80866
MgO X9 0.03265
f-CaO X10 -0.47889
SO3/R2O X11 -5.00343
SO3/MgO X12 9.03298
Constant term b 58.37156
According to the data in the table 2-1, a mathematical model for predicting the 28-day compressive strength of the clinker is established:
y=0.48809×C3S+0.32763×C2S-1.05485×C3A-1.32973×C4AF-10.18937×K2O-12.57664×Na2O+0.55301×SO3-70.80866×Cl-+0.03265×MgO-0.47889×f-CaO-5.00343×(SO3/R2O)+9.03298×(SO3/MgO)+58.37156
in the formula: y-predicted value of 28-day compressive strength of cement clinker;
the results of the predicted value of the 28-day compressive strength prediction mathematical model of the cement clinker and the measured value of the 28-day compressive strength of the cement clinker are shown in Table 2-2.
TABLE 2-2 measured and predicted values of 28-day compressive strength of cement clinker
Figure BDA0003326909700000101
Figure BDA0003326909700000111
As can be seen from tables 1-3 and 2-2 of the application, the relative error values of the predicted compressive strength and the actually measured compressive strength of the cement clinker for 3 days and 28 days are both less than 3.1 percent, the tolerance with the laboratory compressive strength detection is less than or equal to +/-5 percent, and the prediction deviation of the method is less than the tolerance, which shows that the method can be used for predicting the compressive strength of the cement clinker for 3 days and 28 days, and the precision is high.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the application; any result or application obtained by adopting 4 or more than 4 cement clinker performance influencing factors according to the structure, shape and principle of the application is covered in the protection scope of the application.

Claims (8)

1. A cement clinker performance prediction method is characterized by comprising the following steps:
(1) selecting a representative cement clinker sample, and testing and analyzing the physical and chemical properties of the cement clinker according to the current national standard to obtain chemical component analysis data and basic physical property actual measurement performance data of the cement clinker;
(2) determining influence factors influencing the basic physical properties of the cement clinker, and calculating corresponding data in the influence factors of the basic physical properties of the representative cement clinker sample;
(3) establishing a matrix equation
(31) Establishing an independent variable matrix: selecting n +1 representative cement clinker samples and data of influence factors influencing basic physical properties of cement clinker in each sample, corresponding the clinker samples in rows, corresponding the data of the influence factors and constant terms in the samples in columns, establishing the data of the n influence factors and an (n +1) × (n +1) independent variable matrix including one constant term, wherein the constant term is 1;
(32) establishing a dependent variable matrix: establishing a dependent variable matrix of (n +1) rows and columns according to the row corresponding to the clinker sample and the basic physical properties of the cement clinker;
(33) establishing a coefficient matrix: solving the coefficient matrixes of (n +1) rows and one column including n influencing factors and one constant term by using a matrix equation, wherein the data of each row in the coefficient matrixes of (n +1) rows and one column is the quantized data of each column of influencing factors and one constant term in each row in the (n +1) x (n +1) independent variable matrix;
(4) defining each column in the dependent variable matrix of the (n +1) rows and the (n +1) columns as y; defining each column independent variable factor in independent variable matrix of (n +1) × (n +1) as x1、x2、x3……xn(ii) a Defining the coefficient matrix of the (n +1) rows and the columns as a by rows1、a2、a3……anDefining a constant term as b;
(5) the basic physical property prediction calculation formula of the cement clinker is as follows:
y=a1x1+a2x2+a3x3+……anxn+b。
2. the method of claim 1, wherein the step of predicting the performance of the cement clinker comprises the steps of: the factors influencing the basic physical properties of the cement clinker in the step (2) comprise CaO and SiO2、Al2O3、Fe2O3、K2O、Na2O、SO3、Cl-、MgO、f-CaO、R2O、C3S、C3A、C2S、C4AF、CaO/SiO2、(CaO+SiO2)/(Al2O3+Fe2O3+MgO)、(CaO+SiO2)/(Al2O3+Fe2O3)、(Al2O3+Fe2O3)/MgO、Al2O3/Fe2O3、SO3/ R2O、SO3/K2O、SO3/Na2O、K2O/Na2O、SO3/MgO 、SO3/(Al2O3+Fe2O3+MgO)、K2O /(Al2O3+Fe2O3+MgO)、Na2O /(Al2O3+Fe2O3+MgO)、Cl-/ Na2O、S-MgO、f-MgO、KH、KH-、N、P;
Wherein CaO/SiO2、(CaO+SiO2)/(Al2O3+Fe2O3+MgO)、(CaO+SiO2)/(Al2O3+Fe2O3)、(Al2O3+Fe2O3)/MgO、Al2O3/Fe2O3、SO3/R2O、SO3/ K2O、SO3/Na2O、K2O/Na2O、SO3/MgO 、SO3/(Al2O3+Fe2O3+MgO)、K2O /(Al2O3+Fe2O3+MgO)、Na2O /(Al2O3+Fe2O3+MgO)、Cl-/ Na2O is the molar ratio;
CaO、SiO2、Al2O3、Fe2O3、K2O、Na2O、SO3、Cl-MgO and f-CaO represent the mass percentage content of the raw materials in clinker, and the specific content is directly measured according to the method specified in GB 176;
KH、KH-n, P denotes clinker ratio values, calculated from the chemical composition, where
KH=(CaO-1.65*Al2O3-0.35*Fe2O3)/(2.8*SiO2
KH-=(CaO-f-CaO-1.65*Al2O3-0.35*Fe2O3)/(2.8*SiO2
N=CaO/(Al2O3+Fe2O3)
P=Al2O3/Fe2O3
3. A method of predicting cement clinker performance as set forth in claim 2, wherein: said C is3S、C3A、C2S、C4AF is the four main minerals of clinker, the content of which is calculated by the following formula:
C3S=3.8*(3*KH--2)*CaO
C2S= 8.6*(1-KH)*CaO
C3A= 2.65*(Al2O3-0.64*Fe2O3)
C4AF=3.04*Fe2O3
4. a method of predicting cement clinker performance as set forth in claim 3, wherein: the S-MgO is the mass percentage content of MgO which is dissolved in four main minerals in the clinker, and the calculation formula is as follows: S-MgO =0.015 × C3S+0.007*C2S+0.02*C3A+0.045*C4And AF, if the mass percentage of the S-MgO is larger than that of the MgO, the mass percentage of the S-MgO is the mass percentage of the MgO.
5. A method of predicting cement clinker performance as set forth in claim 4, wherein: the calculation formula of the f-MgO is MgO- (S-MgO).
6. A method of predicting cement clinker performance as set forth in claim 2, wherein: the R is2O is the mass percentage content of the clinker basic oxide in the clinker, and the calculation formula is R2O=Na2O+0.658K2O。
7. The method of claim 1, wherein the step of predicting the performance of the cement clinker comprises the steps of: the cement clinker performance comprises one of 3-day strength, 28-day strength, setting time, hydration heat and grinding time.
8. The method of claim 1, wherein the step of predicting the performance of the cement clinker comprises the steps of: when the independent variable matrix is established, the data of n influencing factors are established, the independent variable matrix of (n +2) × (n +2) comprises two columns of constant items, and the two columns of constant items are sequentially crossed and set to be 0 or 1 according to rows.
CN202111265869.5A 2021-10-28 2021-10-28 Cement clinker performance prediction method Pending CN114169567A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111265869.5A CN114169567A (en) 2021-10-28 2021-10-28 Cement clinker performance prediction method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111265869.5A CN114169567A (en) 2021-10-28 2021-10-28 Cement clinker performance prediction method

Publications (1)

Publication Number Publication Date
CN114169567A true CN114169567A (en) 2022-03-11

Family

ID=80477583

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111265869.5A Pending CN114169567A (en) 2021-10-28 2021-10-28 Cement clinker performance prediction method

Country Status (1)

Country Link
CN (1) CN114169567A (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6009419A (en) * 1991-11-29 1999-12-28 Schlumberger Technology Corporatin Method for predicting cement properties
CN106203705A (en) * 2016-07-12 2016-12-07 高雪清 Go out to grind 28 days Prediction of compressive strength methods of cement
CN110705920A (en) * 2019-11-04 2020-01-17 江苏海事职业技术学院 Method for predicting cement strength by using multi-hidden-layer BP network under big data environment
CN110929936A (en) * 2019-11-25 2020-03-27 华润水泥技术研发(广西)有限公司 Cement clinker performance prediction method
CN113033923A (en) * 2021-04-30 2021-06-25 中国建筑材料科学研究总院有限公司 Method, device and system for predicting, evaluating and optimizing performance of cement clinker

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6009419A (en) * 1991-11-29 1999-12-28 Schlumberger Technology Corporatin Method for predicting cement properties
CN106203705A (en) * 2016-07-12 2016-12-07 高雪清 Go out to grind 28 days Prediction of compressive strength methods of cement
CN110705920A (en) * 2019-11-04 2020-01-17 江苏海事职业技术学院 Method for predicting cement strength by using multi-hidden-layer BP network under big data environment
CN110929936A (en) * 2019-11-25 2020-03-27 华润水泥技术研发(广西)有限公司 Cement clinker performance prediction method
CN113033923A (en) * 2021-04-30 2021-06-25 中国建筑材料科学研究总院有限公司 Method, device and system for predicting, evaluating and optimizing performance of cement clinker

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘明亮;李玉平;: "用Excel定量分析影响水泥熟料质量的因素", 水泥, no. 10, 10 October 2007 (2007-10-10) *
吴蓁等: "《建筑工程材料制备工艺》", 31 March 2021, 同济大学出版社, pages: 42 - 45 *
张千祥;谢瑾秋;吕云鹏;杨晓伟;关鹏;: "基于回归分析的工业废渣水泥标准养护28天抗压强度预测", 西南民族大学学报(自然科学版), no. 06, 25 November 2013 (2013-11-25) *
马文波;王艳;白武中;: "根据熟料化学成分用Excel回归分析预测熟料28d抗压强度", 水泥, no. 04, 10 April 2007 (2007-04-10), pages 54 - 55 *

Similar Documents

Publication Publication Date Title
He et al. Mechanical properties, drying shrinkage, and creep of concrete containing lithium slag
Yoon et al. Statistical evaluation of the mechanical properties of high-volume class F fly ash concretes
Güneyisi et al. Optimization of concrete mixture with hybrid blends of metakaolin and fly ash using response surface method
Sarıdemir Effect of silica fume and ground pumice on compressive strength and modulus of elasticity of high strength concrete
Wallah Drying shrinkage of heat-cured fly ash-based geopolymer concrete
CN101929930B (en) Method for rapidly predicting 28-day colloidal mortar compression strength of cement
Yousuf et al. The use of particle packing models (PPMs) to design structural low cement concrete as an alternative for construction industry
Wang et al. Experimental investigation on the compressive strength and shrinkage of concrete with pre-wetted lightweight aggregates
Islam et al. A new approach to evaluate alkali-silica reactivity using loss in concrete stiffness
Kangwa et al. Influence of rice husk ash density on the workability and strength of structural concrete
Ferretti Dimensional analysis and calibration of a power model for compressive strength of solid-clay-brick masonry
Allard et al. Isothermal Strength Development Models of Ultra-High-Performance Concrete.
Usman et al. Acid resistance of palm oil fuel ash and metakaolin ternary blend cement mortar
Zhang et al. Autogenous shrinkage of fly ash and ground granulated blast furnace slag concrete
Medeiros et al. Residual mechanical properties of hollow concrete blocks with different aggregate types after exposure to high temperatures
JP2017142140A (en) Fly ash activity index prediction method, and method for producing fly ash mixed cement
Adamtsevich et al. Research on the effect of prehydration of Portland cement stored in normal conditions
Reddy et al. Experimental and numerical modeling of creep in different types of concrete
CN114169567A (en) Cement clinker performance prediction method
Abou Houraira et al. Effect of accelerated aging by temperature and moisture variation cycles on the durability of concrete
CN115034079B (en) Method for determining safety of concrete structure containing steel slag aggregate
Ulukaya et al. Assessment of pozzolanicity of clay bricks fired at different temperatures for use in repair mortar
Kavanaugh Creep Behavior of Self-Consolidating Concrete
CN115019909A (en) Method for predicting compressive strength of alkali-activated slag concrete
Wang et al. Effect of concrete stress states on carbonation depth of concrete

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination