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利用插值响应面法计算软骨双相材料特性的新资源。

New resource for the computation of cartilage biphasic material properties with the interpolant response surface method.

作者信息

Keenan Kathryn E, Kourtis Lampros C, Besier Thor F, Lindsey Derek P, Gold Garry E, Delp Scott L, Beaupre Gary S

机构信息

VA Rehabilitation Research and Development Center, Palo Alto, CA, USA.

出版信息

Comput Methods Biomech Biomed Engin. 2009 Aug;12(4):415-22. doi: 10.1080/10255840802654319.

DOI:10.1080/10255840802654319
PMID:19675978
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2858459/
Abstract

Cartilage material properties are important for understanding joint function and diseases, but can be challenging to obtain. Three biphasic material properties (aggregate modulus, Poisson's ratio and permeability) can be determined using an analytical or finite element model combined with optimisation to find the material properties values that best reproduce an experimental creep curve. The purpose of this study was to develop an easy-to-use resource to determine biphasic cartilage material properties. A Cartilage Interpolant Response Surface was generated from interpolation of finite element simulations of creep indentation tests. Creep indentation tests were performed on five sites across a tibial plateau. A least-squares residual search of the Cartilage Interpolant Response Surface resulted in a best-fit curve for each experimental condition with corresponding material properties. These sites provided a representative range of aggregate moduli (0.48-1.58 MPa), Poisson's ratio (0.00-0.05) and permeability (1.7 x 10(- 15)-5.4 x 10(- 15) m(4)/N s) values found in human cartilage. The resource is freely available from https://simtk.org/home/va-squish.

摘要

软骨材料特性对于理解关节功能和疾病很重要,但获取起来可能具有挑战性。可以使用分析模型或有限元模型结合优化方法来确定三种双相材料特性(聚集模量、泊松比和渗透率),以找到最能重现实验蠕变曲线的材料特性值。本研究的目的是开发一种易于使用的资源来确定双相软骨材料特性。通过对蠕变压痕试验的有限元模拟进行插值生成了软骨插值响应面。在胫骨平台的五个部位进行了蠕变压痕试验。对软骨插值响应面进行最小二乘残差搜索,得到了每个实验条件下具有相应材料特性的最佳拟合曲线。这些部位提供了在人体软骨中发现的聚集模量(0.48 - 1.58兆帕)、泊松比(0.00 - 0.05)和渗透率(1.7×10⁻¹⁵ - 5.4×10⁻¹⁵立方米⁴/牛顿·秒)值的代表性范围。该资源可从https://simtk.org/home/va - squish免费获取。

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