Prabhu Rajkumar, Whittington Wilburn R, Patnaik Sourav S, Mao Yuxiong, Begonia Mark T, Williams Lakiesha N, Liao Jun, Horstemeyer M F
Department of Agricultural and Biological Engineering, Mississippi State University;
Center for Advanced Vehicular Systems, Mississippi State University.
J Vis Exp. 2015 May 18(99):e51545. doi: 10.3791/51545.
This study offers a combined experimental and finite element (FE) simulation approach for examining the mechanical behavior of soft biomaterials (e.g. brain, liver, tendon, fat, etc.) when exposed to high strain rates. This study utilized a Split-Hopkinson Pressure Bar (SHPB) to generate strain rates of 100-1,500 sec(-1). The SHPB employed a striker bar consisting of a viscoelastic material (polycarbonate). A sample of the biomaterial was obtained shortly postmortem and prepared for SHPB testing. The specimen was interposed between the incident and transmitted bars, and the pneumatic components of the SHPB were activated to drive the striker bar toward the incident bar. The resulting impact generated a compressive stress wave (i.e. incident wave) that traveled through the incident bar. When the compressive stress wave reached the end of the incident bar, a portion continued forward through the sample and transmitted bar (i.e. transmitted wave) while another portion reversed through the incident bar as a tensile wave (i.e. reflected wave). These waves were measured using strain gages mounted on the incident and transmitted bars. The true stress-strain behavior of the sample was determined from equations based on wave propagation and dynamic force equilibrium. The experimental stress-strain response was three dimensional in nature because the specimen bulged. As such, the hydrostatic stress (first invariant) was used to generate the stress-strain response. In order to extract the uniaxial (one-dimensional) mechanical response of the tissue, an iterative coupled optimization was performed using experimental results and Finite Element Analysis (FEA), which contained an Internal State Variable (ISV) material model used for the tissue. The ISV material model used in the FE simulations of the experimental setup was iteratively calibrated (i.e. optimized) to the experimental data such that the experiment and FEA strain gage values and first invariant of stresses were in good agreement.
本研究提供了一种结合实验和有限元(FE)模拟的方法,用于研究软生物材料(如脑、肝、肌腱、脂肪等)在高应变率下的力学行为。本研究利用分离式霍普金森压杆(SHPB)产生100 - 1500秒^(-1)的应变率。SHPB采用了由粘弹性材料(聚碳酸酯)制成的撞杆。在生物材料死后不久获取样本并准备进行SHPB测试。将试样置于入射杆和透射杆之间,激活SHPB的气动部件,使撞杆朝着入射杆驱动。由此产生的冲击产生一个压缩应力波(即入射波),该波穿过入射杆。当压缩应力波到达入射杆末端时,一部分继续向前穿过样本和透射杆(即透射波),而另一部分作为拉伸波(即反射波)反向穿过入射杆。使用安装在入射杆和透射杆上的应变片测量这些波。根据基于波传播和动态力平衡的方程确定样本的真实应力 - 应变行为。由于试样鼓起,实验应力 - 应变响应本质上是三维的。因此,使用静水应力(第一不变量)来生成应力 - 应变响应。为了提取组织的单轴(一维)力学响应,使用实验结果和有限元分析(FEA)进行迭代耦合优化,FEA包含用于组织的内部状态变量(ISV)材料模型。对实验装置的有限元模拟中使用的ISV材料模型进行迭代校准(即优化),使其与实验数据相符,以便实验和有限元分析的应变片值以及应力的第一不变量能够良好吻合。