Effect of geometry variation on the mechanical behavior of the proximal femur
File(s)Chizari3132019JAMMR52701.pdf (350.96 KB)
Published version
Author(s)
Borjali, Amirhossein
Mohseni, Mahdi
Van, Su Mei
Chizari, Mahmoud
Type
Journal Article
Abstract
The mechanical behavior of a proximal femur under a normal body weight loading was examined. The geometry of the proximal femur was created in a finite element model using 29 reference points measured on the CT scan images of a patient. Four additional sets of measurements were calculated using ± (1) and ± (2) the standard deviation of the original set and the result of models was compared. The stress distribution and the locations of critical normal and shear stress, as well as the effect of the femur geometry which may be most susceptible to failure were examined. The findings of this study demonstrate an inferior distribution of stress in the plus-standard deviation models and indicate less ability to bear weight. The minus-standard deviation models appear to be better suited to bearing weight and indicate a more even distribution of the stresses generated within the proximal femur.
Date Issued
2019-11-26
Date Acceptance
2019-11-20
Citation
Journal of Advances in Medicine and Medical Research, 2019, 31 (3)
ISSN
2456-8899
Publisher
Sciencedomain International
Journal / Book Title
Journal of Advances in Medicine and Medical Research
Volume
31
Issue
3
Copyright Statement
© 2019 Borjali et al.; This is an Open Access article distributed under the terms of the Creative Commons Attribution License
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited.
(http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited.
License URL
Identifier
http://dx.doi.org/10.9734/jammr/2019/v31i330287
Publication Status
Published
Article Number
JAMMR.52701
Date Publish Online
2019-11-26