The mechanical behavior modeling of human soft biological tissues is a key issue for a large number of medical applications, such as surgery simulation, surgery planning, diagnosis, etc. To develop a biomechanical model of human soft tissues under large deformation for surgery simulation, the adaptive quasi-linear viscoelastic (AQLV) model was proposed and applied in human forearm soft tissues by indentation tests. An incremental ramp-and-hold test was carried out to calibrate the model parameters. To verify the predictive ability of the AQLV model, the incremental ramp-and-hold test, a single large amplitude ramp-and-hold test and a sinusoidal cyclic test at large strain amplitude were adopted in this study. Results showed that the AQLV model could predict the test results under the three kinds of load conditions. It is concluded that the AQLV model is feasible to describe the nonlinear viscoelastic properties of in vivo soft tissues under large deformation. It is promising that this model can be selected as one of the soft tissues models in the software design for surgery simulation or diagnosis.
在手术仿真、手术规划、医学诊断等众多医学应用中，人体软组织力学特性建模都是一个关键问题。为了开发手术仿真中人体软组织大变形生物力学模型，本文介绍了自适应准线性粘弹性（AQLV）模型，对人体前臂软组织进行了印压试验，采用增量斜坡保持试验得到模型参数，通过增量斜坡保持试验、大应变斜坡保持试验和大应变正弦循环加载试验来检验该模型的预测能力。本文研究结果表明，AQLV 模型能够较好地预测这三种加载工况下的试验数据。因此，本研究的结论认为，该 AQLV 模型对在体软组织在大应变时的非线性粘弹性的描述具有一定的实用性和可参照性，有望作为手术仿真或医学诊断中软组织模型的选择之一。.
Keywords: adaptive quasi-linear viscoelastic model; deformable model; in vivo soft tissues; nonlinear viscoelasticity; surgery simulation.