Table 1:
Quality of constitutive parameter fits for all samples and microstructure-inclusion strategies (see Figure 3). We scaled the goodness of fit from 1.0 (worst fit among the strategies) to 10.0 (best fit among the strategies). The last two columns display the best and worst Normalized Mean Square Error (NMSE) among the strategies. A higher NMSE value implies a better fit with an upper limit of NMSE=1
| Strategy | NMSE | |||||
|---|---|---|---|---|---|---|
| Sample | 1 | 2 | 3 | 4 | min | max |
| 1 | 1.0 | 3.2 | 10.0 | 9.3 | 0.913 | 0.932 |
| 2 | 1.0 | 10.0 | 8.4 | 5.8 | 0.852 | 0.901 |
| 3 | 6.1 | 4.6 | 10.0 | 1.0 | 0.858 | 0.868 |
| 4 | 10.0 | 9.9 | 1.0 | 3.0 | 0.636 | 0.734 |
| 5 | 10.0 | 9.6 | 9.1 | 1.0 | 0.713 | 0.761 |
| 6 | 1.0 | 1.2 | 10.0 | 1.3 | 0.750 | 0.765 |
| 7 | 1.0 | 9.3 | 4.9 | 10.0 | 0.692 | 0.781 |
| 8 | 7.1 | 10.0 | 1.0 | 4.7 | 0.642 | 0.683 |
| 9 | 1.0 | 4.1 | 3.5 | 10.0 | 0.569 | 0.582 |
| 10 | 1.0 | 6.0 | 8.7 | 10.0 | 0.799 | 0.893 |
| 11 | 10.0 | 9.8 | 1.5 | 1.0 | 0.813 | 0.835 |
| Mean | 4.5 | 7.1 | 6.2 | 5.2 | ||
| SE | 1.3 | 1.0 | 1.2 | 1.2 | ||