摘要
目的提供软组织超弹性材料参数并探讨优化方法,为有限元分析(finite element analysis,FEA)冲击研究中软组织显式求解的准确模拟提供参考。方法测定6具足底软组织标本抗压性能,以实验数据计算FEA材料参数,利用泊松比对材料参数进行优化。设置与体外实验相同工况的FEA模型进行模拟。利用实验及文献报道数据对模拟结果进行验证。结果软组织体外实验中力-位移曲线呈指数增长。FEA模拟与实验结果相比,压缩率≤45%时,结果相一致;在压缩率>45%时,材料泊松比愈接近0.5,FEA模拟的准确性越高。泊松比为0.497时,FEA模拟与体外实验结果有较强线性相关关系(R2=0.9923)。结论本研究中材料参数模拟效果良好。在较低压缩率下,计算结果与体外实验的结果相一致;在较高压缩率下,提高材料泊松比可增加FEA模拟准确性。
Objective To obtain an optimized method of providing hyperelastic parameters of soft tissue,and to promote the simulation accuracy in explicit solution of finite element analysis（FEA） on soft tissue impact test.Methods Compressive properties of soft tissue from six fresh planta were measured.The experimental data were used to calculate the FEA material properties,which were then optimized by Poisson＇s ratio.With the same loading and boundary conditions as the experiment,the FEA model was conducted for simulation.The simulation results were verified by both the experimental data and literature data.Results The force-displacement curve of soft tissue presented an exponential growth trend in the in vitro biomechanical experiment.When the compression ratio was under 45%,the FEA simulation result was consistent with the experimental data.When the compression ratio was above 45%,the closer the Poisson＇s ratio up to 0.5,the higher the accuracy of FEA simulation result.However,there was a strong linear correlation between the FEA simulation results and experimental data（R2=0.9923） when the Poisson＇s ratio was 0.497.Conclusions The simulation result of material parameters in FEA model is preferable in this study.With a lower compression ratio,the simulation results from FEA model are in consistency with the experimental data.Increasing the Poisson＇s ratio can promote the simulation accuracy of the FEA model when the compression ratio is high.
出处
《医用生物力学》
EI
CAS
CSCD
北大核心
2012年第1期27-31,共5页
Journal of Medical Biomechanics
基金
广东省科技攻关项目(2006A36001003)
关键词
软组织
超弹性
材料参数
抗压性能
有限元分析
Soft tissue
Hyperelasticity
Material parameters
Compressive properties
Finite element analysis
