TY - CONF
T1 - Adaptive quasi-linear model – universal material parameters of liver tissue for different load cases?
T2 - 27th Congress of the European Society of Biomechanics, 26.-29.06.2022, Porto, Portugal
AU - Frank, Martin
AU - Aryeetey, Othniel J.
AU - Estermann, Sarah-Jane
AU - Pahr, Dieter H.
PY - 2022
Y1 - 2022
N2 - The adaptive quasi-linear (AQLV) model is able toaccurately predict the visco-elastic behavior of porcineliver tissue for ramp and hold experiments at multiplestrain levels [1]. Since several closed loop solutionsexist analytically for the AQLV model [2] it canpotentially predict the stress response of differentloading scenarios, like triangular and sine waveexcitation. Further, the model should compensate fordifferences in strain rate between calibration andprediction. However, this assumption will only be validif the AQLV model parameters, calibrated on ramp-holdexperiments, are indeed material properties,independent of the loading scenario. Goal of the currentstudy was to use experimental strain data from differentloading scenarios to predict stress with the AQLV modeland to compare the output to experimental stresses.
AB - The adaptive quasi-linear (AQLV) model is able toaccurately predict the visco-elastic behavior of porcineliver tissue for ramp and hold experiments at multiplestrain levels [1]. Since several closed loop solutionsexist analytically for the AQLV model [2] it canpotentially predict the stress response of differentloading scenarios, like triangular and sine waveexcitation. Further, the model should compensate fordifferences in strain rate between calibration andprediction. However, this assumption will only be validif the AQLV model parameters, calibrated on ramp-holdexperiments, are indeed material properties,independent of the loading scenario. Goal of the currentstudy was to use experimental strain data from differentloading scenarios to predict stress with the AQLV modeland to compare the output to experimental stresses.
M3 - Oral presentation at a conference
ER -