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Example of multi-scale model calculation

To better illustrate how to use the analytical parts of the multi-scale model, an example calculation will be done that makes use of the formulas in the previous section. All data will be taken from recent work [60]. We will take a simple mortar, with an aggregate volume fraction of 50%. The sieve analysis for the aggregates is given in Table 1.


Table 1: Sieve analysis used for aggregates in mortar.
Diameter Range (µm) Fraction of Total Volume (ci )
1180-600 0.0228
600-300 0.749
300-150 0.2193
150-75 0.0089

The overall w/c ratio is 0.4. The cement particle size distribution is such that the median diameter is 12 µm, so that the ITZ is taken to have the same thickness [60]. Table 2 shows the model cement particle size distribution, taken from the real cement PSD [60].


Table 2: Model particle size and volume fractions for cement used.
Diameter (µm) Fraction of Cement Volume
3 0.19
5 0.082
7 0.088
9 0.065
15 0.182
25 0.193
35 0.110
45 0.09

Using the sieve analysis in Table 1, and the equations given in the previous sections, one can easily calculate the value of VITZ to be 0.0945 (using Assumption 1 and A = 0). A numerical point counting method applied to the same problem gave VITZ = 0.0918, so the analytical result differs from the numerical result by only 3%. Given that the aggregate volume fraction is 0.5, that implies that the ratio of ITZ to bulk cement paste is VITZ/V bulk = 0.233, which is similar to that for Fig. 16.

One can then construct a 220 x 220 x 130 pixel unit cell, with a 2 pixel wide flat aggregate. The scale is one µm per pixel length, similar to that shown in Fig. 16. There are two ITZ regions, each 12 pixels thick, and a bulk region that is 130-2-24 = 102 pixels long. The ratio of ITZ to bulk cement paste volume in this cell is then (220 · 220 · 24) / (220 · 220 · 102) = 0.235. One then uses the model cement PSD in Table 2 and builds up a w/c = 0.4 cement paste in the unit cell. The porosity ratio, and therefore the diffusivity ratio, are determined as a function of degree of hydration.


Next: Effect of hydration Up: Using a sieve analysis Previous: Averages over the volume