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Exponential Elastic Model and Its Application in Real-Time Simulation

机译:指数弹性模型及其在实时仿真中的应用

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摘要

The development of accurate material models and computational methods are two fundamental components in building a real-time realistic surgery simulator. In this paper, we use a least-squares method to calibrate an exponential model of pig liver based on the assumption of incompressible material under a uniaxial testing mode. With the obtained parameters, the stress-strain curves generated from the least-squares approach are compared to those from the corresponding model built in ABAQUS and to experimental data, resulting in mean deviations of 1.9% and 4.8%, respectively. Furthermore we demonstrate equivalence between the parameters of the exponential material model and those of linear or other nonlinear models under small strains. Finally, we incorporate this calibrated exponential model into a nonlinear finite element framework to simulate the behavior of liver during an interventional procedure, and achieve real-time performance through use of an interpolation approach.
机译:准确的材料模型和计算方法的开发是构建实时逼真的手术模拟器的两个基本组成部分。在本文中,我们使用最小二乘法在单轴测试模式下基于不可压缩材料的假设来校准猪肝的指数模型。使用获得的参数,将最小二乘法生成的应力-应变曲线与ABAQUS中建立的相应模型的应力-应变曲线进行比较,并与实验数据进行比较,得出平均偏差分别为1.9%和4.8%。此外,我们证明了在小应变下指数材料模型的参数与线性或其他非线性模型的参数之间的等效性。最后,我们将此校准的指数模型合并到非线性有限元框架中,以模拟介入过程中肝脏的行为,并通过使用插值方法实现实时性能。

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