Ultimately, the natural frequency values for the
femur indicated very similar results to current literature (for
the first two bending modes). Kim et al. reported a natural
frequency of approximately 23 Hz for normal mouse femur
sample using experimental methods [7]. This indicates the
validity of the computational model and approach for this
study. Zhang et al. showed that joint loading applied at
difference frequencies resulted in different levels of bone
growth [3]. Furthermore, these researchers presented a range
of optimal loading frequencies that coincide with results
shown in this study. By using the model in this study and the
preliminary results, future studies can be done by applying
frequency dependent loads that target frequencies close to the
natural frequencies of the bone sample. This will serve as an
experimental verification of our results. Although the analyses
show promising results, there are several limitations that need
to be addressed in order to express a more accurate set of
studies. The first important limitation is the isotropic behavior
and the uniform density across the sample, as real bone is an
anisotropic material. Another key assumption being made is
that the model consists solely of bone. In reality, bone consists
of various mesynchymal tissue, interstitial fluids, minerals,
fibrous tissue and other bone cells. However, these new
parameter inputs would provide interesting results that may
move us closer to bone conditions in vivo. Finally, in order to
verify our results, experimentation on numerous samples that
present statically significant values would be required. This
presents an opportunity for future research where experimental
results can be compared to the computational model presented
in this study.
Ultimately, the natural frequency values for thefemur indicated very similar results to current literature (forthe first two bending modes). Kim et al. reported a naturalfrequency of approximately 23 Hz for normal mouse femursample using experimental methods [7]. This indicates thevalidity of the computational model and approach for thisstudy. Zhang et al. showed that joint loading applied atdifference frequencies resulted in different levels of bonegrowth [3]. Furthermore, these researchers presented a rangeof optimal loading frequencies that coincide with resultsshown in this study. By using the model in this study and thepreliminary results, future studies can be done by applyingfrequency dependent loads that target frequencies close to thenatural frequencies of the bone sample. This will serve as anexperimental verification of our results. Although the analysesshow promising results, there are several limitations that needto be addressed in order to express a more accurate set ofstudies. The first important limitation is the isotropic behaviorand the uniform density across the sample, as real bone is ananisotropic material. Another key assumption being made isthat the model consists solely of bone. In reality, bone consistsof various mesynchymal tissue, interstitial fluids, minerals,fibrous tissue and other bone cells. However, these newparameter inputs would provide interesting results that maymove us closer to bone conditions in vivo. Finally, in order toverify our results, experimentation on numerous samples thatpresent statically significant values would be required. Thispresents an opportunity for future research where experimentalresults can be compared to the computational model presentedin this study.
การแปล กรุณารอสักครู่..
