Abstract
The adaptive quasi-linear (AQLV) model is able to
accurately predict the visco-elastic behavior of porcine
liver tissue for ramp and hold experiments at multiple
strain levels [1]. Since several closed loop solutions
exist analytically for the AQLV model [2] it can
potentially predict the stress response of different
loading scenarios, like triangular and sine wave
excitation. Further, the model should compensate for
differences in strain rate between calibration and
prediction. However, this assumption will only be valid
if the AQLV model parameters, calibrated on ramp-hold
experiments, are indeed material properties,
independent of the loading scenario. Goal of the current
study was to use experimental strain data from different
loading scenarios to predict stress with the AQLV model
and to compare the output to experimental stresses.
accurately predict the visco-elastic behavior of porcine
liver tissue for ramp and hold experiments at multiple
strain levels [1]. Since several closed loop solutions
exist analytically for the AQLV model [2] it can
potentially predict the stress response of different
loading scenarios, like triangular and sine wave
excitation. Further, the model should compensate for
differences in strain rate between calibration and
prediction. However, this assumption will only be valid
if the AQLV model parameters, calibrated on ramp-hold
experiments, are indeed material properties,
independent of the loading scenario. Goal of the current
study was to use experimental strain data from different
loading scenarios to predict stress with the AQLV model
and to compare the output to experimental stresses.
| Original language | English |
|---|---|
| Publication status | Published - 2022 |