论文标题
在动态应变速率下张力中脑组织的机械表征
Mechanical characterization of brain tissue in tension at dynamic strain rates
论文作者
论文摘要
高负荷速度下脑组织的机械表征对于建模创伤性脑损伤(TBI)至关重要。在严重的影响条件下,脑组织会经历压缩,张力和剪切。有限的实验数据可用于在动态应变速率下扩展大脑组织。在这项研究中,开发了高率张力装置(HRTD),以在应变速率<90/s时获得脑组织的动态特性。进行了体外拉伸试验,以30、60和90/s的应变速率获得脑组织的性质,最高30%。脑组织随着应变率的增加而表现出更硬的反应,表明超弹性模型不足。具体而言,在30%应变时的拉伸工程应力为3.1 +/- 0.49 kPa,4.3 +/- 0.86 kPa,6.5 +/- 0.76 kPa(平均+/- SD),分别为30、60和90/s。还以不同的应变幅度(10-60%应变)进行张力中的力弛豫测试,平均上升时间为24 ms,这些时间用于得出时间依赖参数。使用实验数据的一项Ogden,Fung和Gent模型从实验数据中获取材料参数。使用一项Ogden模型进行了数值模拟,以分析高达30%菌株的脑组织的超弹性行为。这项研究中获得的材料参数将有助于开发生物脑的人脑有限元模型,随后可以用来预测影响条件下的脑损伤以及用于法医研究的重建和仿真工具。
Mechanical characterization of brain tissue at high loading velocities is crucial for modeling Traumatic Brain Injury (TBI). During severe impact conditions, brain tissue experiences compression, tension and shear. Limited experimental data is available for brain tissue in extension at dynamic strain rates. In this research, a High Rate Tension Device (HRTD) was developed to obtain dynamic properties of brain tissue in extension at strain rates of < 90/s. In vitro tensile tests were performed to obtain properties of brain tissue at strain rates of 30, 60 and 90/s up to 30% strain. The brain tissue showed a stiffer response with increasing strain rates, showing that hyperelastic models are not adequate. Specifically, the tensile engineering stress at 30% strain was 3.1 +/- 0.49 kPa, 4.3 +/- 0.86 kPa, 6.5 +/- 0.76 kPa (mean +/- SD) at strain rates of 30, 60 and 90/s, respectively. Force relaxation tests in tension were also conducted at different strain magnitudes (10-60% strain) with the average rise time of 24 ms, which were used to derive time dependent parameters. One-term Ogden, Fung and Gent models were used to obtain material parameters from the experimental data. Numerical simulations were performed using a one-term Ogden model to analyze hyperelastic behavior of brain tissue up to 30% strain. The material parameters obtained in this study will help to develop biofidelic human brain finite element models, which can subsequently be used to predict brain injuries under impact conditions and as a reconstruction and simulation tool for forensic investigations.