Figure 3
From: A machine learning approach to predict in vivo skin growth
Graph of the displacement normal to the surface of the skin for a node 5 mm away from the impact, generated by the FE simulation. Note, the baseline waveform is shown alongside the 0 days of growth and 3.5 days of growth waveforms. This set of 3 waveforms is collected for each of the 1000 virtual subjects. Neo-Hookean material with a shear modulus \(\mu = 0.058335\) MPa, a density \(\rho = 1120\,\text {kg}\,\text {m}^{-3}\), a growth rate \(k = 1.2\,\text {day}^{-1}\) and a natural pre-stretch \(\theta _{\text {nat}} = 1.125\) (12.5% extension).
