Suppr超能文献

适用于手术过程有限元分析的脑组织本构模型。

Constitutive model of brain tissue suitable for finite element analysis of surgical procedures.

作者信息

Miller K

机构信息

Department of Mechanical and Materials Engineering, The University of Western Australia, Nedlands/Perth WA, Australia.

出版信息

J Biomech. 1999 May;32(5):531-7. doi: 10.1016/s0021-9290(99)00010-x.

Abstract

Realistic finite element modelling and simulation of neurosurgical procedures present a formidable challenge. Appropriate, finite deformation, constitutive model of brain tissue is a prerequisite for such development. In this paper, a large deformation, linear, viscoelastic model, suitable for direct use with commercially available finite element software packages such as ABAQUS is constructed. The proposed constitutive equation is of polynomial form with time-dependent coefficients. The model requires four material constants to be identified. The material constants were evaluated based on unconfined compression experiment results. The analytical as well as numerical solutions to the unconfined compression problem are presented. The agreement between the proposed theoretical model and the experiment is good for compression levels reaching 30% and for loading velocities varying over five orders of magnitude. The numerical solution using the finite element method matched the analytical solution very closely.

摘要

神经外科手术的逼真有限元建模与模拟面临着巨大挑战。合适的脑组织有限变形本构模型是实现此类发展的先决条件。本文构建了一个大变形、线性、粘弹性模型,适用于直接与诸如ABAQUS等商业有限元软件包配合使用。所提出的本构方程为具有与时间相关系数的多项式形式。该模型需要确定四个材料常数。基于无侧限压缩实验结果对材料常数进行了评估。给出了无侧限压缩问题的解析解和数值解。对于压缩水平达到30%以及加载速度在五个数量级范围内变化的情况,所提出的理论模型与实验之间的吻合度良好。使用有限元方法的数值解与解析解非常接近。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验