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Predictive equations were applied to the subjects to compute predicted strength values.
Predictive equations were applied to the patients' data to compute predicted strength values and z-scores for each function and each side.
The results show the effective thermal conductivity predictions to be relatively independent of packing and size distribution while predicted strength and stiffness properties show a greater dependence on packing and size distribution, particularly for high particle-to-matrix stiffness ratios.
The predicted strength was higher than the actual column strength.
Table 7 Comparison between the predicted strength and test data.
The predicted strength above 15 days of hydration time seems to underestimate the measured value.
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The result of the measured and predicted strengths is given in Fig. 10.
Figure 8 shows the predicted strengths and the measured ones of the oilwell cement as a function of hydration time.
Good correlation between the predicted strengths and available experimental data has been found.
Comparison of the predicted strengths with the tests strengths shows that the proposed method offers improved accuracy and reduced scatter.
The test strengths were compared with the predicted strengths using the current specifications for cold-formed steel structures.
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