TY - JOUR

T1 - Using regression models to determine the poroelastic properties of cartilage

AU - Chung, Chen Yuan

AU - Mansour, Joseph M.

N1 - Funding Information:
This work was funded by the National Institutes of Health (Grant number P01 AR053622 ). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

PY - 2013/7/26

Y1 - 2013/7/26

N2 - The feasibility of determining biphasic material properties using regression models was investigated. A transversely isotropic poroelastic finite element model of stress relaxation was developed and validated against known results. This model was then used to simulate load intensity for a wide range of material properties. Linear regression equations for load intensity as a function of the five independent material properties were then developed for nine time points (131, 205, 304, 390, 500, 619, 700, 800, and 1000. s) during relaxation. These equations illustrate the effect of individual material property on the stress in the time history. The equations at the first four time points, as well as one at a later time (five equations) could be solved for the five unknown material properties given computed values of the load intensity. Results showed that four of the five material properties could be estimated from the regression equations to within 9% of the values used in simulation if time points up to 1000. s are included in the set of equations. However, reasonable estimates of the out of plane Poisson's ratio could not be found. Although all regression equations depended on permeability, suggesting that true equilibrium was not realized at 1000. s of simulation, it was possible to estimate material properties to within 10% of the expected values using equations that included data up to 800. s. This suggests that credible estimates of most material properties can be obtained from tests that are not run to equilibrium, which is typically several thousand seconds.

AB - The feasibility of determining biphasic material properties using regression models was investigated. A transversely isotropic poroelastic finite element model of stress relaxation was developed and validated against known results. This model was then used to simulate load intensity for a wide range of material properties. Linear regression equations for load intensity as a function of the five independent material properties were then developed for nine time points (131, 205, 304, 390, 500, 619, 700, 800, and 1000. s) during relaxation. These equations illustrate the effect of individual material property on the stress in the time history. The equations at the first four time points, as well as one at a later time (five equations) could be solved for the five unknown material properties given computed values of the load intensity. Results showed that four of the five material properties could be estimated from the regression equations to within 9% of the values used in simulation if time points up to 1000. s are included in the set of equations. However, reasonable estimates of the out of plane Poisson's ratio could not be found. Although all regression equations depended on permeability, suggesting that true equilibrium was not realized at 1000. s of simulation, it was possible to estimate material properties to within 10% of the expected values using equations that included data up to 800. s. This suggests that credible estimates of most material properties can be obtained from tests that are not run to equilibrium, which is typically several thousand seconds.

KW - Linear regression

KW - Poroelasticity

KW - Stress relaxation

KW - Transversely isotropic

UR - http://www.scopus.com/inward/record.url?scp=84880040171&partnerID=8YFLogxK

U2 - 10.1016/j.jbiomech.2013.05.028

DO - 10.1016/j.jbiomech.2013.05.028

M3 - 期刊論文

C2 - 23796400

AN - SCOPUS:84880040171

SN - 0021-9290

VL - 46

SP - 1921

EP - 1927

JO - Journal of Biomechanics

JF - Journal of Biomechanics

IS - 11

ER -