Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation

Abstract The finite elements method allied with the computerized axial tomography (CT) is a mathematical modeling technique that allows constructing computational models for bone specimens from CT data. The objective of this work was to compare the experimental biomechanical behavior by three-point...

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Main Authors: Sebastián Irarrázaval, Jorge Andrés Ramos-Grez, Luis Ignacio Pérez, Pablo Besa, Angélica Ibáñez
Format: Article
Language:English
Published: Springer 2021-08-01
Series:SN Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-021-04760-9
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author Sebastián Irarrázaval
Jorge Andrés Ramos-Grez
Luis Ignacio Pérez
Pablo Besa
Angélica Ibáñez
author_facet Sebastián Irarrázaval
Jorge Andrés Ramos-Grez
Luis Ignacio Pérez
Pablo Besa
Angélica Ibáñez
author_sort Sebastián Irarrázaval
collection DOAJ
description Abstract The finite elements method allied with the computerized axial tomography (CT) is a mathematical modeling technique that allows constructing computational models for bone specimens from CT data. The objective of this work was to compare the experimental biomechanical behavior by three-point bending tests of porcine femur specimens with different types of computational models generated through the finite elements’ method and a multiple density materials assignation scheme. Using five femur specimens, 25 scenarios were created with differing quantities of materials. This latter was applied to computational models and in bone specimens subjected to failure. Among the three main highlights found, first, the results evidenced high precision in predicting experimental reaction force versus displacement in the models with larger number of assigned materials, with maximal results being an R 2 of 0.99 and a minimum root-mean-square error of 3.29%. Secondly, measured and computed elastic stiffness values follow same trend with regard to specimen mass, and the latter underestimates stiffness values a 6% in average. Third and final highlight, this model can precisely and non-invasively assess bone tissue mechanical resistance based on subject-specific CT data, particularly if specimen deformation values at fracture are considered as part of the assessment procedure.
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spelling doaj.art-2c4c3b1ede184352851f771e978d84ad2022-12-21T18:28:34ZengSpringerSN Applied Sciences2523-39632523-39712021-08-013911310.1007/s42452-021-04760-9Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluationSebastián Irarrázaval0Jorge Andrés Ramos-Grez1Luis Ignacio Pérez2Pablo Besa3Angélica Ibáñez4Orthopaedics Surgery Division, School of Medicine, Pontificia Universidad Católica de ChileDepartment of Mechanical and Metallurgical Engineering, School of Engineering, Pontificia Universidad Católica de ChileDepartment of Mechanical and Metallurgical Engineering, School of Engineering, Pontificia Universidad Católica de ChileOrthopaedics Surgery Division, School of Medicine, Pontificia Universidad Católica de ChileOrthopaedics Surgery Division, School of Medicine, Pontificia Universidad Católica de ChileAbstract The finite elements method allied with the computerized axial tomography (CT) is a mathematical modeling technique that allows constructing computational models for bone specimens from CT data. The objective of this work was to compare the experimental biomechanical behavior by three-point bending tests of porcine femur specimens with different types of computational models generated through the finite elements’ method and a multiple density materials assignation scheme. Using five femur specimens, 25 scenarios were created with differing quantities of materials. This latter was applied to computational models and in bone specimens subjected to failure. Among the three main highlights found, first, the results evidenced high precision in predicting experimental reaction force versus displacement in the models with larger number of assigned materials, with maximal results being an R 2 of 0.99 and a minimum root-mean-square error of 3.29%. Secondly, measured and computed elastic stiffness values follow same trend with regard to specimen mass, and the latter underestimates stiffness values a 6% in average. Third and final highlight, this model can precisely and non-invasively assess bone tissue mechanical resistance based on subject-specific CT data, particularly if specimen deformation values at fracture are considered as part of the assessment procedure.https://doi.org/10.1007/s42452-021-04760-9Finite element analysisAnimal modelSubject-specific modelingBiomechanical behavior of bone
spellingShingle Sebastián Irarrázaval
Jorge Andrés Ramos-Grez
Luis Ignacio Pérez
Pablo Besa
Angélica Ibáñez
Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation
SN Applied Sciences
Finite element analysis
Animal model
Subject-specific modeling
Biomechanical behavior of bone
title Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation
title_full Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation
title_fullStr Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation
title_full_unstemmed Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation
title_short Finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation
title_sort finite element modeling of multiple density materials of bone specimens for biomechanical behavior evaluation
topic Finite element analysis
Animal model
Subject-specific modeling
Biomechanical behavior of bone
url https://doi.org/10.1007/s42452-021-04760-9
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