TY - GEN
T1 - The development of nonlinear viscoelastic model for the application of soft tissue identification
AU - Liu, Hongbin
AU - Noonan, David P.
AU - Zweiri, Yahya H.
AU - Althoefer, Kaspar A.
AU - Seneviratne, Lakmal D.
PY - 2007
Y1 - 2007
N2 - This paper proposes a novel nonlinear viseoelastic soft tissue model generated from ex vivo experimental results on ovine liver using a force sensitive probe. In order to study the bio-mechanics of soft tissue, static indentation tests were applied on ovine liver. An empirical constitutive equation was extracted from the examined data. A mechanical model combining linear viscoelasticity with a nonlinear function of strain-stress is proposed. The developed model has been evaluated both statically and dynamically with different strain rates - i.e. where the velocity of indentation is varied. By comparing simulation results and measured experimental data, it has been concluded that the proposed model is robust for modelling both static and dynamic indentation conditions. The effect of changing boundary conditions on the parameters in the proposed model has been studied by choosing test sites with different underlying tissue thicknesses. The results indicate that for small strain, the effect of the thickness condition is reasonable to be neglected.
AB - This paper proposes a novel nonlinear viseoelastic soft tissue model generated from ex vivo experimental results on ovine liver using a force sensitive probe. In order to study the bio-mechanics of soft tissue, static indentation tests were applied on ovine liver. An empirical constitutive equation was extracted from the examined data. A mechanical model combining linear viscoelasticity with a nonlinear function of strain-stress is proposed. The developed model has been evaluated both statically and dynamically with different strain rates - i.e. where the velocity of indentation is varied. By comparing simulation results and measured experimental data, it has been concluded that the proposed model is robust for modelling both static and dynamic indentation conditions. The effect of changing boundary conditions on the parameters in the proposed model has been studied by choosing test sites with different underlying tissue thicknesses. The results indicate that for small strain, the effect of the thickness condition is reasonable to be neglected.
UR - http://www.scopus.com/inward/record.url?scp=51349093421&partnerID=8YFLogxK
U2 - 10.1109/IROS.2007.4399336
DO - 10.1109/IROS.2007.4399336
M3 - Conference contribution
AN - SCOPUS:51349093421
SN - 1424409128
SN - 9781424409129
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 208
EP - 213
BT - Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007
T2 - 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2007
Y2 - 29 October 2007 through 2 November 2007
ER -