Literature DB >> 26100464

A phenomenological contact model: Understanding the graft-tunnel interaction in anterior cruciate ligament reconstructive surgery.

Shahab Salehghaffari1, Yasin Y Dhaher2.   

Abstract

In this paper, we sought to expand the fidelity of a validated model of the anterior cruciate ligament reconstruction (ACL-R) procedure by incorporating a stick-slip contact model with linear pressure-overclosure relationship at the interface. The suggested model is characterized by three unknown parameters, friction coefficient, shear stress softening and contact stiffness. In the absence of any isolated experiments exploring the graft-tunnel interactions during an aggregate joint load, the calibration data used in this study are derived from a reported biomechanical study. A Bayesian calibration procedure was employed to find the unknown probability distribution function (PDF) of these contact parameters. Initially, the response surface approximations of the predicted graft forces from laxity test simulations was adopted to estimate the likelihood of noisy experimental data reported in the literature. Then, the wide domain of contact parameters was sampled sequentially based on the Marcov Chain Monte Carlo (MCMC) method with acceptance-rejection criteria to search for population of samples in significantly narrower domain of unknown parameters that are associated with the highest occurrence likelihood of noisy experimental data. Our simulations with calibrated contact parameters indicate that pre-tensioning applied at 30° of flexion leads to larger graft force after the joint is fully extended compared to the graft force when the same pre-tensioning force is applied at full extension. Moreover, regardless of the pre-tensioning force, the graft-tunnel contact pressure is larger when the fixation of the graft is performed at full extension, increasing with the pre-tensioning force.
Copyright © 2015. Published by Elsevier Ltd.

Keywords:  Bayesian calibration; Epistemic uncertainty; Experimental errors; Finite element model; Multivariate Gaussian distribution; Surgical variability

Mesh:

Year:  2015        PMID: 26100464     DOI: 10.1016/j.jbiomech.2015.04.034

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  2 in total

1.  Open Knee(s): A Free and Open Source Library of Specimen-Specific Models and Related Digital Assets for Finite Element Analysis of the Knee Joint.

Authors:  Snehal Chokhandre; Ariel Schwartz; Ellen Klonowski; Benjamin Landis; Ahmet Erdemir
Journal:  Ann Biomed Eng       Date:  2022-09-14       Impact factor: 4.219

2.  Tibiofemoral joint contact area and stress after single-bundle anterior cruciate ligament reconstruction with transtibial versus anteromedial portal drilling techniques.

Authors:  Chunhui Liu; Yingpeng Wang; Zhongli Li; Ji Li; Hao Zhang; Yangmu Fu; Kuan Zhang
Journal:  J Orthop Surg Res       Date:  2018-10-04       Impact factor: 2.359

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.