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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Format: | Article |
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Springer
2021-08-01
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Series: | SN Applied Sciences |
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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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institution | Directory Open Access Journal |
issn | 2523-3963 2523-3971 |
language | English |
last_indexed | 2024-12-22T10:58:17Z |
publishDate | 2021-08-01 |
publisher | Springer |
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series | SN Applied Sciences |
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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