Identification of the visco-hyperelastic properties of brain white matter based on the combination of inverse method and experiment
Identification of the visco-hyperelastic properties of brain white matter based on the combination of inverse method and experiment
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基于反演法与实验相结合的脑白质粘超弹特性识别
DOI：
10.1007/s11517-018-1944-7
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发表时间：
2019-01
影响因子：
3.2
通讯作者：
Shan Kezhen
中科院分区：
文献类型：
--
作者：
Liu Qiming;Liu Jie;Guan Fengjiao;Han Xu;Cao Lixiong;Shan Kezhen
为了充分了解脑损伤机制并制定有效的保护方法，首先需要准确的脑组织本构模型。一般将脑组织视为一种粘弹性材料，简单地用于脑损伤的模拟。事实上，脑组织具有粘超弹性的行为。因此，本文提出了一种有效的计算逆方法，通过压缩实验确定脑白质粘超弹本构模型的材料参数。首先，借助3D手持扫描仪，获得脑白质标本的3D几何形状，从而可以建立特定标本的精确模拟模型。然后，采用全局敏感性分析来评估材料参数的重要性，并进一步确定可以识别的参数。随后，基于遗传算法，可以通过最小化实验响应和模拟响应之间的匹配误差来识别脑白质的最佳材料参数。最后，通过对其他特定试件的实验和仿真结果进行比较，以及仿真结果与参考文献中的材料参数的比较，论证了脑白质本构模型参数的准确性和可靠性。图文摘要确定脑白质特定试件材料参数的计算反演技术的主流程图。概括：将计算反演方法与特定试件的无侧限单轴压缩实验相结合，提出了一种有效的识别方法，可以准确确定超弹和粘弹的材料参数。本文中的脑白质参数。
To fully understand the brain injury mechanism and develop effective protective approaches, an accurate constitutive model of brain tissue is firstly required. Generally, the brain tissue is regarded as a kind of viscoelastic material and is simply used in the simulation of brain injury. In fact, the brain tissue has the behavior of the visco-hyperelastic property. Therefore, this paper presents an effective computational inverse method to determine the material parameters of visco-hyperelastic constitutive model of brain white matter through compression experiments. First, with the help of 3D hand scanner, 3D geometries of brain white matter specimens are obtained to make it possible to establish the accurate simulation models of the specific specimens. Then, the global sensitivity analysis is adopted to evaluate the importance of the material parameters and further determine the parameters which may be identified. Subsequently, based on the genetic algorithm, the optimal material parameters of brain white matter can be identified by minimizing the match error between the experimental and simulated responses. Finally, by comparing the experiment and simulation results on the other specific specimen, and the simulation results with the material parameters from the references, respectively, the accuracy and reliability of the constitutive model parameters of brain white matter are demonstrated.Graphical abstractThe main flowchart of the computational inverse technique for determining the material parameters of specimen-specific on brain white matter.Generalization: Combining the computational inverse method and unconfined uniaxial compression experiment of the specific specimen, an effective identification method is presented to accurately determine the hyperelastic and viscoelastic parameters of brain white matter in this paper.
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DOI：
10.1088/1757-899x/250/1/012049
发表时间：
2017-10
期刊：
IOP Conference Series: Materials Science and Engineering
影响因子：
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影响因子：
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