Karimi Alireza, Rahmati Seyed Mohammadali, Razaghi Reza
a Department of Mechanical Engineering , Kyushu University , Fukuoka , Japan.
b Biomechanics Groups, Faculty of Biomedical Engineering , Amirkabir University of Technology , Tehran , Iran.
Comput Methods Biomech Biomed Engin. 2017 Sep;20(12):1350-1363. doi: 10.1080/10255842.2017.1362694. Epub 2017 Aug 16.
Understanding the mechanical properties of the human brain is deemed important as it may subject to various types of complex loadings during the Traumatic Brain Injury (TBI). Although many studies so far have been conducted to quantify the mechanical properties of the brain, there is a paucity of knowledge on the mechanical properties of the human brain tissue and the damage of its axon fibers under the various types of complex loadings during the Traumatic Brain Injury (TBI). Although many studies so far have been conducted to quantify the mechanical properties of the brain, there is a paucity of knowledge on the mechanical properties of the human brain tissue and the damage of its axon fibers under the frontal lobe of the human brain. The constrained nonlinear minimization method was employed to identify the brain coefficients according to the axial and transversal compressive data. The pseudo-elastic damage model data was also well compared with that of the experimental data and it not only up to the primary loading but also the discontinuous softening could well address the mechanical behavior of the brain tissue.
了解人类大脑的力学特性被认为很重要,因为在创伤性脑损伤(TBI)期间,大脑可能会受到各种类型的复杂载荷。尽管到目前为止已经进行了许多研究来量化大脑的力学特性,但对于创伤性脑损伤(TBI)期间各种类型的复杂载荷下人类脑组织的力学特性及其轴突纤维的损伤,仍缺乏了解。尽管到目前为止已经进行了许多研究来量化大脑的力学特性,但对于人类脑组织的力学特性及其大脑额叶下轴突纤维的损伤,仍缺乏了解。采用约束非线性最小化方法根据轴向和横向压缩数据确定大脑系数。伪弹性损伤模型数据也与实验数据进行了很好的比较,它不仅适用于初次加载,而且不连续软化能够很好地描述脑组织的力学行为。