| 注册
首页|期刊导航|生物医学工程研究|基于表观压缩实验与有限元分析相结合的骨微观力学性能参数预测方法的研究

基于表观压缩实验与有限元分析相结合的骨微观力学性能参数预测方法的研究

范若寻 刘杰 甘树坤 张敏

生物医学工程研究2018,Vol.37Issue(2):195-199,5.
生物医学工程研究2018,Vol.37Issue(2):195-199,5.DOI:10.19529/j.cnki.1672-6278.2018.02.16

基于表观压缩实验与有限元分析相结合的骨微观力学性能参数预测方法的研究

Method on the prediction of bone micro-level mechanical parameter combining apparent compressive experiment and finite element analysis

范若寻 1刘杰 2甘树坤 1张敏1

作者信息

  • 1. 吉林化工学院汽车工程学院,吉林132102
  • 2. 吉林大学机械科学与工程学院,长春130025
  • 折叠

摘要

Abstract

Bone apparent mechanical parameters are used to evaluate bone quality;however, bone micro-level mechanical pa-rameters cannot serve as evaluation criteria because of the difficulty in measurement.In order to investigate bone quality at micro-lev-el, a method in predicting bone micro-level mechanical parameter was provided in this study.Rat femoral cortical bone was used as research example to predict its micro-level failure strain.The rat femoral cortical bone finite element models were primarily estab-lished based on the computed tomography;then, finite element analyses were performed to simulate the failure processes under com-pressive load, which simulated the boundary and loading conditions of the apparent compressive experiment;meanwhile, micro-level failure strains were back-calculated by fitting the experimental apparent stress-strain curves.The analysis results showed that the mi-cro-level failure strains in the four rats at the age of 7 months were in the range of 4.53%~4.75%.This method can predict bone micro-level mechanical parameter in an accurate way based on the verification with experiments.

关键词

表观力学性能/微观力学性能/压缩实验/有限元分析/反演/皮质骨

Key words

Apparent mechanical properties/Micro-level mechanical properties/Compressive experiment/Finite element analy-sis/Back-calculate/Cortical bone

分类

医药卫生

引用本文复制引用

范若寻,刘杰,甘树坤,张敏..基于表观压缩实验与有限元分析相结合的骨微观力学性能参数预测方法的研究[J].生物医学工程研究,2018,37(2):195-199,5.

基金项目

国家自然科学基金资助项目(11702110) (11702110)

吉林省教育厅科学技术项目(JJKH20180560KJ). (JJKH20180560KJ)

生物医学工程研究

OACSTPCD

1672-6278

访问量0
|
下载量0
段落导航相关论文