CN103134830A - Ordinary clean cement paste early-age temperature conductivity coefficient prediction method based on multi-scale model - Google Patents

Abstract

The invention discloses an ordinary clean cement paste of early age temperature conductivity coefficient prediction method based on a multi-scale model. The ordinary clean cement paste early-age temperature conductivity coefficient prediction method based on the multi-scale model includes that heterogeneous and multi-scale division is conducted according to a micro-structure and composition of ordinary clean cement paste in an early age, a typical phase is contained at each scale, volume percentages of different ages and phases are calculated, and temperature conductivity coefficients of the clean cement paste in the early age are calculated and obtained through a generalized self-consistent method according to parameters of volume percentage of each phase, temperature conductivity coefficients and the like at each scale. Influences of clean cement paste early-age micro-structure formation and evolution, and performance of component materials on clean cement paste macroscopic temperature conductivity coefficients are considered, influence factors considered are comprehensive and reasonable, and the ordinary clean cement paste early-age temperature conductivity coefficient prediction method based on the multi-scale model is simple in form and convenient to use. The temperature conductivity coefficients of the clean cement paste in the early age with different water-cement ratios, different kinds of cement, and different curing temperatures can be predicted more correctly according to a prediction model built with the ordinary clean cement paste early-age temperature conductivity coefficient prediction method based on the multi-scale model.

Description

Only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model

Technical field

The present invention relates to a kind of Portland cement based on multiple dimensioned model and only starch thermal diffusivity Forecasting Methodology in length of time morning, belong to the cement-based material technical field.

Background technology

The question synthesis that the early stage cracking of cement-based material structure relates to and complexity have contained the every aspect of the early stage calorifics of cement-based material, mechanics and deformation performance.The researcher has carried out a large amount of experimental studies to the early stage macro property of cement-based material both at home and abroad, attempts to illustrate the early stage Cracking Mechanism of cement-based material, early stage performance variation law and technical parameter problems of value.Wherein early the length of time, thermal diffusivity was one of hot issue of being concerned about of researchist with the development and change process in the length of time to cement-based material, also to carry out the temperature controlled anticracking measure to formulate necessary important parameter, especially water conservancy project large volume cement-based material, huge volume makes its hydration heat that produces in hydration process in early days in time to shed, and the internal temperature field changes the thermal cracking that causes and makes engineering structure lose efficacy and endurance issues becomes increasingly conspicuous.Thermal diffusivity is subject to various countries scholar's attention as the important thermal physical property parameter of cement-based material Study on Temperature Field, its accuracy affects directly that the temperature field calculates.At present generally thermal diffusivity is taken as definite value after the cement-based material sclerosis in research, studies show that the cement-based material thermal diffusivity is along with change the length of time but have now, consider singularity and the widespread use of cement-based material thermal diffusivity, research early water cement-based material thermal diffusivity has great importance.Simultaneously, although there are some researches show, hardening cement base material thermal diffusivity and coefficient of heat conductivity satisfy linear relationship, but studies show that simultaneously, cement-based material density, specific heat are changing with the length of time, curing temperature in early days, thus the length of time morning thermal diffusivity, coefficient of heat conductivity do not strictly observe linear relationship.Simultaneously from cement-based material heat transmission essence, coefficient of heat conductivity relatively, thermal diffusivity more can be expressed its heat conductivility.The cement-based material thermal diffusivity is along with the change of its match ratio etc. and change, and change along with the development in the length of time, and experimental measurement is more difficult, existing achievement in research is mainly in the measurement of the cement-based material thermal diffusivity of hardening phase, the systematic study of shortage to the cement-based material thermal diffusivity, due to reasons such as starting material, match ratio, environmental baseline, testing apparatus and method of testing and testing crew operative techniquies, the thermal parameters discreteness that provides is larger simultaneously.

The overall performance of compound substance depends on performance, geometric shape and the topological structure of composition material.Cement paste is the non-homogeneous composite material of very complex, and its component is various, the solid, liquid, gas three-phase coexistence, and disorder distribution, the range scale of these species distribution is wide, and from the nanometer to the micron, millimeter has a distribution, and it forms structure and at hydration process, larger variation occurs.Multi-dimension analogy method can be considered the composition material feature on different scale, realization is from the material property simulation of microcosmic-thin sight the-macroscopic view, set up the relation between material constituent performance, micromechanism and macro property, and fundamentally explain the change mechanism of material macro property, this is for promoting that investigation of materials is significant.

Summary of the invention

Technical matters to be solved by this invention is to overcome the prior art deficiency, provide a kind of Portland cement based on multiple dimensioned model only to starch thermal diffusivity Forecasting Methodology in length of time morning, essential attribute according to starting material component and hydrated product, based on cement paste micromechanism formation and evolution process, adopt multiple dimensioned and homogenization method prediction thermal diffusivity with the development of age change procedure, thereby provide thermal diffusivity parameter accurately for the early stage mechanics of cement-based material, deformation performance research and Numerical Simulation Analysis.

Portland cement based on multiple dimensioned model of the present invention is starched thermal diffusivity Forecasting Methodology in length of time morning only, comprises the following steps:

Steps A, the clean slurry of Portland cement is divided into different scale according to microstructure, each yardstick comprises different typical phases;

Step B, obtain each volumn concentration of each phase in each yardstick constantly in length of time early;

Step C, from smallest dimension, adopt upwards progressively homogenising and generalized self-consistent method, calculate t in length of time early Portland cement thermal diffusivity of only starching each yardstick constantly; Wherein, homogenising adopts compound in twos mode, and is specific as follows:

Get two kinds respectively as matrix be mingled with and carry out compoundly from the phase that participates in homogenising, and calculate the thermal diffusivity of its compound phase that is combined into; Respectively as matrix be mingled with and carry out compoundly, and calculate the thermal diffusivity of its compound phase that is combined into above-mentioned compound phase and other a kind of phase that participates in homogenising; The rest may be inferred, all completes compoundly until participate in the phase of homogenising, and the thermal diffusivity of the compound phase that obtains at last is the thermal diffusivity of the phase after homogenising; Wherein, the thermal diffusivity of the compound phase of two kinds of phases is calculated according to following formula:

${\mathrm{\α}}_{\mathrm{eff}}\left(t\right)={\mathrm{\α}}_m\left(t\right)[1+\frac{3v_e\left(t\right)}{v_m\left(t\right)+\frac{3{\mathrm{\α}}_m\left(t\right)}{{\mathrm{\α}}_e\left(t\right)-{\mathrm{\α}}_m\left(t\right)}}],$

In formula, α _eff(t) be the thermal diffusivity of compound phase, α _m(t), v _m(t) be respectively thermal diffusivity and the volumn concentration of matrix, α _e(t), v _e(t) be respectively thermal diffusivity and the volumn concentration that is mingled with;

The thermal diffusivity of the out to out after homogenising is Portland cement and only starches early t in length of time thermal diffusivity constantly;

Step D, to length of time morning each constantly, respectively repeat steps C, obtain Portland cement and only starch early each thermal diffusivity constantly in the length of time.

As preferred version of the present invention, described in steps A, partition of the scale is specific as follows: be divided into three scales from low to high: yardstick I, yardstick II, yardstick III; The yardstick I comprises not hydrated cement groups of grains phase of these four kinds of tricalcium silicates, dicalcium silicate, tetra calcium aluminoferrite, tricalcium aluminate, and calcium hydroxide, hydrated calcium silicate, Fu Tiexiang, these four kinds of hydrated product group phases of other hydrated product; The yardstick II comprises the not hydrated cement particle after yardstick I homogenising, and the hydrated product after yardstick I homogenising; The yardstick III comprises the cement slurry solid phase after yardstick II homogenising, and capillary water and pore space.

Compared to existing technology, the present invention has following beneficial effect:

The present invention is based on the cement-based material thermal diffusivity with the essential characteristic of development of age, it is the essential attribute of composition material component and hydrated product, and micromechanism is with the development and change in the length of time, set up Portland cement and only starch thermal diffusivity forecast model in length of time morning, thereby cement paste micromechanism and macro property are set up contact, and cement-based material macro property influence factor is many from having solved in essence, the discrete large problem of test figure.By the inventive method, can more conveniently obtain arbitrarily the early thermal diffusivity of the moment in length of time cement paste, and not need not carry out Real-Time Monitoring by a cover proving installation.

Description of drawings

Fig. 1 is that Portland cement is starched the partition of the scale schematic diagram only;

Effective thermal diffusivity model schematic diagram of Fig. 2 heat transfer medium;

Fig. 3 water cement ratio is 0.35, and the concrete paste specimen thermal diffusivity that curing temperature is 20 ℃ is with the development of age curve.

Embodiment

Below in conjunction with accompanying drawing, technical scheme of the present invention is elaborated:

The present invention is based on Microstructure of Cement-based Material and form and with development, Portland cement to be starched only that early the length of time, the thermal diffusivity Changing Pattern was studied, by the cement paste micromechanism with forms the phase essential attribute and set up Portland cement and only starch thermal diffusivity multi-scale prediction model in length of time morning.

Cement-based material life period, the intrinsic multiple dimensioned characteristic in space, for example high and low density hydrated calcium silicate is at nanoscale, and the hydrated products such as calcium hydroxide, hydrated cement particle, large pore be not at micro-meter scale, cement paste is at mm-scale.Multi-scale method considers that the space across features such as the mechanics of materials of yardstick, distortion, is important method and the technology of finding the solution the complicated mechanics problems of various materials.Wherein, homogenization theory has advantages of that as a kind of effective multiscale simulation method theory is rigorous, be easy to Numerical Implementation material macro equivalent performance, is the important method of composite Materials Design, performance prediction and structure optimization.At hydrated calcium silicate, calcium hydroxide, not on the large mineral component yardstick of hydrated cement particle four, their thermal diffusivity is the build-in attribute of these phases, with conditional independences such as water cement ratio, the length of times, just distribution and the content of these basic phases that change are therefore the cement paste thermal diffusivity is with changing the length of time.Adopt multiple dimensioned and homogenization method, in conjunction with cement paste Microstructure Development in length of time morning, can be from predicting in essence its early length of time property development and variation.

The inventive method specifically comprises the following steps:

Steps A, the clean slurry of Portland cement is divided into different scale according to microstructure, each yardstick comprises different typical phases.

Can adopt different partition of the scale modes according to actual conditions when carrying out partition of the scale, the preferred following partition of the scale mode (as shown in Figure 1) of the present invention: be divided into three scales from low to high: yardstick I, yardstick II, yardstick III; The yardstick I comprises not hydrated cement groups of grains phase of these four kinds of tricalcium silicates, dicalcium silicate, tetra calcium aluminoferrite, tricalcium aluminate, and calcium hydroxide, hydrated calcium silicate, Fu Tiexiang, these four kinds of hydrated product group phases of other hydrated product; The yardstick II comprises the not hydrated cement particle after yardstick I homogenising, and the hydrated product after yardstick I homogenising; The yardstick III comprises the cement slurry solid phase after yardstick II homogenising, and capillary water and pore space.Adopt this kind partition of the scale method, tricalcium silicate, dicalcium silicate, tetra calcium aluminoferrite, tricalcium aluminate, calcium hydroxide, hydrated calcium silicate, Fu Tie equate that the thermal diffusivity of basic phase can adopt existing experimental data or back analysis value, is convenient to subsequent treatment.

Step B, obtain each volumn concentration of each phase in each yardstick constantly in length of time early.

in each yardstick, the volumn concentration of each phase can (for example be obtained by test, the environmental scanning electronic microscope test), perhaps by Jennings-Tennis model (Jennings H.M., Tennis P.D.Model for the Developing Micros tructure in Portland Cement Pastes[J] .Journal of the American Ceramic Society, 1994, 7 (12): 3161-3172.) or HYMOSTRUC model (van Breugel K.Simulation of hydratio n and formation of structure in hardening cement-based materials, PhD thesis, Delft U niversity of Technology, Delft, 1991.) or CEMHYD3D model (A Three-Dimensional Ce ment Hydration and Microstructure Development Modeling Package, Version3.0, Nati onal Institute of Standards and Technology, 2005.) calculate.

Step C, from smallest dimension, adopt upwards progressively homogenising and generalized self-consistent method, calculate t in length of time early Portland cement thermal diffusivity of only starching each yardstick constantly; Wherein, homogenising adopts compound in twos mode, and is specific as follows:

Get two kinds respectively as matrix be mingled with and carry out compoundly from the phase that participates in homogenising, and calculate the thermal diffusivity of its compound phase that is combined into; Respectively as matrix be mingled with and carry out compoundly, and calculate the thermal diffusivity of its compound phase that is combined into above-mentioned compound phase and other a kind of phase that participates in homogenising; The rest may be inferred, all completes compoundly until participate in the phase of homogenising, and the thermal diffusivity of the compound phase that obtains at last is the thermal diffusivity of the phase after homogenising; Wherein, the thermal diffusivity of the compound phase of two kinds of phases is calculated according to following formula:

${\mathrm{\α}}_{\mathrm{eff}}\left(t\right)={\mathrm{\α}}_m\left(t\right)[1+\frac{3v_e\left(t\right)}{v_m\left(t\right)+\frac{3{\mathrm{\α}}_m\left(t\right)}{{\mathrm{\α}}_e\left(t\right)-{\mathrm{\α}}_m\left(t\right)}}],$

In formula, α _eff(t) be the thermal diffusivity of compound phase, α _m(t), v _m(t) be respectively thermal diffusivity and the volumn concentration of matrix, α _e(t), v _e(t) be respectively thermal diffusivity and the volumn concentration that is mingled with; The thermal diffusivity of the out to out after homogenising is Portland cement and only starches early t in length of time thermal diffusivity constantly.

The concrete derivation of above-mentioned formula is as follows:

According to the definition of continuous medium Micromechanics compound substance effective performance, the thermal diffusivity of material and thermograde tensor, heat flow density are relevant.For isotropic material heterogeneous, the thermal diffusivity of homogenising can be expressed as formula (1):

${\mathrm{\α}}_{\mathrm{eff}}=\frac{k_{\mathrm{eff}}}{\mathrm{\ρc}}=\frac{\stackrel{\→}{q}}{\stackrel{\→}{H}\mathrm{\ρc}}---\left(1\right)$

In formula, α _effBe the thermal diffusivity of material homogenization, k _effBe the coefficient of heat conductivity of material homogenization,

Be the heat flow density tensor,

Be the thermograde tensor, ρ is cement slurry density, and c is the grout specific heat capacity.

According to matrix shown in Figure 2-being mingled with system carries out homogenization, need to obtain be mingled with, substrate temperature field distribution function T _e, T _m

Temperature governing equation is:

${\▿}^2{T}_e=00\≤r\≤a$

${\▿}^2{T}_m=0a\≤r\≤b$

${\▿}^2{T}_{\mathrm{eff}}=0b\≤r\≤\∞---\left(2\right)$

The temperature boundary condition is:

$T_e=T_m-\frac{k_m}{C}{\left(\frac{\∂T_m}{\∂r}\right)}_{r=a}$ At border r=a

$k_m{\left(\frac{\∂T_m}{\∂r}\right)}_{r=a}=k_e{\left(\frac{\∂T_e}{\∂r}\right)}_{r=a}$ In border r=a (3)

T _eff=T _mAt border r=b

$k_m{\left(\frac{\∂T_m}{\∂r}\right)}_{r=b}=k_{\mathrm{eff}}{\left(\frac{\∂T_{\mathrm{eff}}}{\∂r}\right)}_{r=b}$ At border r=b $\stackrel{\→}{q}=\stackrel{\→}{r}\cos \left(\mathrm{\θ}\right)$ In border r → ∞ (4)

In formula, k _effFor treating differentiate temperature coefficient,

Be heat flow density, C be mingled with and matrix between heat transfer coefficient.

Try to achieve temperature field function T by formula (2), (3), (4) _e, T _mAfter, the substitution following formula:

$\stackrel{\→}{H}=-\▿(T_e+T_m)---\left(5\right)$

And then will

Substitution formula (1) can get the constantly thermal diffusivity after two kinds of phase homogenising of cement paste yardstick of t:

${\mathrm{\α}}_{\mathrm{eff}}\left(t\right)={\mathrm{\α}}_m\left(t\right)[1+\frac{3v_e\left(t\right)-\left(\frac{{\mathrm{\α}}_m\left(t\right)}{\mathrm{Ca}}\right)\frac{3v_e\left(t\right)\•{\mathrm{\α}}_e\left(t\right)}{{\mathrm{\α}}_e\left(t\right)-{\mathrm{\α}}_m\left(t\right)}}{v_m\left(t\right)+\frac{3{\mathrm{\α}}_m\left(t\right)}{{\mathrm{\α}}_e\left(t\right)-{\mathrm{\α}}_m\left(t\right)}+\frac{{\mathrm{\α}}_m\left(t\right)}{\mathrm{Ca}}\frac{(2+v_e\left(t\right)){\mathrm{\α}}_e\left(t\right)}{{\mathrm{\α}}_e\left(t\right)-{\mathrm{\α}}_m\left(t\right)}}---\left(6\right)$

Further, do not consider matrix-be mingled with thermal resistance effect, namely get C for infinitely great, formula (6) can be reduced to:

${\mathrm{\α}}_{\mathrm{eff}}\left(t\right)={\mathrm{\α}}_m\left(t\right)[1+\frac{3v_e\left(t\right)}{v_m\left(t\right)+\frac{3{\mathrm{\α}}_m\left(t\right)}{{\mathrm{\α}}_e\left(t\right)-{\mathrm{\α}}_m\left(t\right)}}]---\left(7\right)$

When carrying out compound in twos homogenising, the compound order of each phase and matrix and the selection that is mingled with can be set according to actual conditions.In this embodiment, in the yardstick I, the homogenising of hydrated cement particle is not specifically in accordance with the following methods: take tetra calcium aluminoferrite as matrix, tricalcium aluminate for be mingled with carry out compound for the first time; As being mingled with, as matrix carry out for the second time compound with dicalcium silicate with the compound phase after compound for the first time; As being mingled with, carry out compoundly for the third time with the compound phase after compound for the second time as matrix with tricalcium silicate, namely obtain the thermal diffusivity of the not hydrated cement Particle Phase after homogenising.

In the yardstick I, the homogenising of hydrated product specifically in accordance with the following methods: for being mingled with, it is compound for the first time that Fu Tiexiang is that matrix carries out with other hydrated products; As being mingled with, as matrix carry out for the second time compound with hydrated calcium silicate with the compound phase after compound for the first time; As matrix, carry out compoundly for the third time with calcium hydroxide as being mingled with the compound phase after compound for the second time, namely obtain the thermal diffusivity of the hydrated product phase after homogenising.

In the yardstick II, the homogenising of cement slurry solid phase is specifically in accordance with the following methods: with the not hydrated cement Particle Phase after yardstick I homogenising for being mingled with, hydrated product after the yardstick I homogenising carries out compoundly as matrix mutually, namely obtains the thermal diffusivity of the cement slurry solid phase after homogenising.

The homogenising of yardstick III is specifically in accordance with the following methods: the cement slurry solid phase after the yardstick II homogenising is as matrix, with capillary water for be mingled with carry out compound; Then with resulting compound phase as matrix, carry out compoundly with the pore space as being mingled with, namely obtain the thermal diffusivity of the cement slurry after homogenising.

The thermal diffusivity of yardstick III after homogenising is Portland cement and only starches early t in length of time thermal diffusivity constantly.Step D, to length of time morning each constantly, respectively repeat steps C, obtain Portland cement and only starch early each thermal diffusivity constantly in the length of time, and can and then draw the thermal diffusivity of cement slurry with developing curve the length of time according to result of calculation.

Adopt different match ratios, the cement paste mixture of variety classes cement, repeating step B ~ step D obtains under this curing temperature the different mixture ratio thermal diffusivity with developing curve the length of time; Obtain the percent by volume of each phase of cement slurry under different curing by step 2, can obtain different mixture ratio cement slurry thermal diffusivity progress curve under different curing.

In order to verify the effect of the inventive method, utilize the inventive method to predict and draw out to adopt that P.O52.5 cement, water cement ratio are 0.35, curing temperature is that the Portland cement of 20.0 ℃ is starched thermal diffusivity only with developing curve the length of time, and be analyzed with the trial value of actual measurement.Test situation is specific as follows:

1, profile test

1.1 test starting material

The cement south of the River-little wild field board P.O52.5 portland cement, main oxides component concentration such as table 1.

Table 1 cement main oxides component concentration

1.2 testing program

Sample dimensions is 150mm * 150mm * 300mm, and the grout match ratio of employing sees Table 2.Build and completely rapidly test specimen is moved into that standard curing is indoor carries out maintenance afterwards, and by measured the thermal diffusivity value of a grout every 1.5 hours.

Each material usage in table 2 grout

The thermal diffusivity data of the basic phase that adopts when adopting the inventive method to carry out the thermal diffusivity prediction see Table 3.

Thermal diffusivity value (the m of each phase of table 3 ²/ h)

1.3 test data analyzer

Adopt Origin software to data analysis and drawing.

2, interpretation of result

Water cement ratio is 0.35 grout thermal diffusivity with the rule of development of age as shown in Figure 3, can find out that thermal diffusivity had an ever-reduced process before the 10 hours length of time, present the trend of quick increase after reaching minimum value, until approximately entered the stable development stage in 30 hours the length of time, the thermal diffusivity mean value after sclerosis is 0.0023m ²/ h.

Be that 0.35 grout is under the standard curing condition with water cement ratio, model with thermal diffusivity measured value checking this patent, as can be seen from Figure 3, has the good goodness of fit between the data of prediction curve and actual measurement, related coefficient has reached 0.9126, illustrates that forecast model of the present invention can characterize the rule of development of the early stage thermal diffusivity of grout with the length of time preferably.

The present invention has built cement paste thermal diffusivity multi-scale prediction model in length of time morning according to cement, hydrated product essential attribute and cement paste micromechanism formation and development rule, thereby set up the contact between material microstructure and macro property, this is that prior art is difficult to realize.

Claims (7)

1. only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model, it is characterized in that, comprise the following steps:

Steps A, the clean slurry of Portland cement is divided into different scale according to microstructure, each yardstick comprises different typical phases;

Step B, obtain each volumn concentration of each phase in each yardstick constantly in length of time early;

Step C, from smallest dimension, adopt upwards progressively homogenising and generalized self-consistent method, calculate t in length of time early Portland cement thermal diffusivity of only starching each yardstick constantly; Wherein, homogenising adopts compound in twos mode, and is specific as follows:

Get two kinds respectively as matrix be mingled with and carry out compoundly from the phase that participates in homogenising, and calculate the thermal diffusivity of its compound phase that is combined into; Respectively as matrix be mingled with and carry out compoundly, and calculate the thermal diffusivity of its compound phase that is combined into above-mentioned compound phase and other a kind of phase that participates in homogenising; The rest may be inferred, all completes compoundly until participate in the phase of homogenising, and the thermal diffusivity of the compound phase that obtains at last is the thermal diffusivity of the phase after homogenising; Wherein, the thermal diffusivity of the compound phase of two kinds of phases is calculated according to following formula:

${\mathrm{\α}}_{\mathrm{eff}}\left(t\right)={\mathrm{\α}}_m\left(t\right)[1+\frac{3v_e\left(t\right)}{v_m\left(t\right)+\frac{3{\mathrm{\α}}_m\left(t\right)}{{\mathrm{\α}}_e\left(t\right)-{\mathrm{\α}}_m\left(t\right)}}],$

In formula, α _eff(t) be the thermal diffusivity of compound phase, α _m(t), v _m(t) be respectively thermal diffusivity and the volumn concentration of matrix, α _e(t), v _e(t) be respectively thermal diffusivity and the volumn concentration that is mingled with;

The thermal diffusivity of the out to out after homogenising is Portland cement and only starches early t in length of time thermal diffusivity constantly;

Step D, to length of time morning each constantly, respectively repeat steps C, obtain Portland cement and only starch early each thermal diffusivity constantly in the length of time.

2. only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model as claimed in claim 1, it is characterized in that, described in steps A, partition of the scale is specific as follows: be divided into three scales from low to high: yardstick I, yardstick II, yardstick III; The yardstick I comprises not hydrated cement groups of grains phase of these four kinds of tricalcium silicates, dicalcium silicate, tetra calcium aluminoferrite, tricalcium aluminate, and calcium hydroxide, hydrated calcium silicate, Fu Tiexiang, these four kinds of hydrated product group phases of other hydrated product; Yardstick II comprises the not hydrated cement particle after yardstick I homogenising, and the hydrated product after yardstick I homogenising; Yardstick III comprises the cement slurry solid phase after yardstick II homogenising, and capillary water and pore space.

3. only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model as claimed in claim 2, it is characterized in that, in the yardstick I, the homogenising of hydrated cement particle is not specifically in accordance with the following methods: take tetra calcium aluminoferrite as matrix, tricalcium aluminate for be mingled with carry out compound for the first time; As being mingled with, as matrix carry out for the second time compound with dicalcium silicate with the compound phase after compound for the first time; As being mingled with, carry out compoundly for the third time with the compound phase after compound for the second time as matrix with tricalcium silicate, namely obtain the thermal diffusivity of the not hydrated cement Particle Phase after homogenising.

4. only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model as claimed in claim 2, it is characterized in that, in the yardstick I, the homogenising of hydrated product specifically in accordance with the following methods: for being mingled with, it is compound for the first time that Fu Tiexiang is that matrix carries out with other hydrated products; As being mingled with, as matrix carry out for the second time compound with hydrated calcium silicate with the compound phase after compound for the first time; As matrix, carry out compoundly for the third time with calcium hydroxide as being mingled with the compound phase after compound for the second time, namely obtain the thermal diffusivity of the hydrated product phase after homogenising.

5. only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model as claimed in claim 2, it is characterized in that, in yardstick II, the homogenising of cement slurry solid phase is specifically in accordance with the following methods: with the not hydrated cement Particle Phase after yardstick I homogenising for being mingled with, hydrated product after the yardstick I homogenising carries out compoundly as matrix mutually, namely obtains the thermal diffusivity of the cement slurry solid phase after homogenising.

6. only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model as claimed in claim 2, it is characterized in that, the homogenising of yardstick III is specifically in accordance with the following methods: the cement slurry solid phase after the yardstick II homogenising is as matrix, with capillary water for be mingled with carry out compound; Then with resulting compound phase as matrix, carry out compoundly with the pore space as being mingled with, namely obtain the thermal diffusivity of the cement slurry after homogenising.

7. only starch thermal diffusivity Forecasting Methodology in length of time morning based on the Portland cement of multiple dimensioned model as claimed in claim 1, it is characterized in that, in described each moment in length of time different scale, the volumn concentration of each phase is obtained by test, perhaps calculated by the HYMOSTRUC model, perhaps calculated by the Jennings-Tennis model, perhaps calculated by the CEMHYD3D model.

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