TY - CONF
T1 - Fracture toughness determination of muscle tissue based on AQLV model derived viscous dissipated energy
T2 - 27th Congress of the European Society of Biomechanics, 26.-29.06.2022, Porto, Portugal
AU - Aryeetey, Othniel J.
AU - Frank, Martin
AU - Lorenz, Andrea
AU - Pahr, Dieter H.
PY - 2022
Y1 - 2022
N2 - An understanding of failure mechanisms in soft
biological tissue is vital in medical issues such as rupture
of foetal membranes and injuries to skin, muscle, and
tendon during sporting activities. Fracture toughness
determination in soft collagenous tissues (SCT) is often
modelled as an interchange between the work done to
overcome internal strain energy of the tissue (viscous
energy) and the irreversible work done to propagate a
defect (fracture energy). Conventionally, the viscous
energy is determined on unnotched samples
experimentally and after notching the fracture toughness
can be calculated, based on the increase in dissipated
energy. We hypothesized that the adaptive quasi-linear
viscoelastic (AQLV) model [1] is able to predict the
viscous energy of unnotched samples properly and
hence, enable reasonable fracture toughness
determination by modeling.
AB - An understanding of failure mechanisms in soft
biological tissue is vital in medical issues such as rupture
of foetal membranes and injuries to skin, muscle, and
tendon during sporting activities. Fracture toughness
determination in soft collagenous tissues (SCT) is often
modelled as an interchange between the work done to
overcome internal strain energy of the tissue (viscous
energy) and the irreversible work done to propagate a
defect (fracture energy). Conventionally, the viscous
energy is determined on unnotched samples
experimentally and after notching the fracture toughness
can be calculated, based on the increase in dissipated
energy. We hypothesized that the adaptive quasi-linear
viscoelastic (AQLV) model [1] is able to predict the
viscous energy of unnotched samples properly and
hence, enable reasonable fracture toughness
determination by modeling.
M3 - Oral presentation at a conference
ER -