Table 2: Parameter sensitivities qualitatively determined by multiple forward FEM simulations (1st row) and inverse ANN training results (quantified by from (9), 2nd row) with individual strain data normalization and single parameter training as shown in Figure 6(d) for . Good training results have been obtained for the sensitive parameters, whereas nonsensitive parameters could not be satisfactorily trained. Both qualitative and quantitative sensitivity analyses have been made easy with a real-time monitoring tool of the software.


SensitivityHighestHighestHighLowestLowLowestHighest
0.9990.9990.9670.1640.4050.0500.998