On prediction of the compressive strength and failure patterns of human vertebrae using a quasi-brittle continuum damage finite element model.


Journal

Acta of bioengineering and biomechanics
ISSN: 1509-409X
Titre abrégé: Acta Bioeng Biomech
Pays: Poland
ID NLM: 101194794

Informations de publication

Date de publication:
2019
Historique:
entrez: 20 11 2019
pubmed: 20 11 2019
medline: 3 4 2020
Statut: ppublish

Résumé

Damage of bone structures is mainly conditioned by bone quality related to the bone strength. The purpose of this work was to present a simple and reliable numerical treatment of a quasi-brittle damage constitutive model coupled with two different elastic modulus and to compare the numerical results with the experimental ones. To achieve this goal, a QCT based finite element model was developed within the framework of CDM (Continuum Damage Mechanics) and implemented in the FE code (ABAQUS). It described the propagation of brittle cracks which will help to predict the ultimate load fracture of a human vertebra by reproducing the experimental failure under quasi-static compressive loading paths of nineteen cadaveric lumbar vertebral bodies. The numerical computations delivered by the proposed method showed a better agreement with the available experimental results when bone volume fraction related Young's modulus (E(BV/TV)) is used instead of density related Young's modulus (E(ρ)). Also, the study showed that the maximum relative error (%) in failure was 8.47% when E(BV/TV) is used, whereas the highest relative error (%) was 68.56% when E(ρ) is adopted. Finally, a mesh sensitivity analysis revealed that the element size has a weak incidence on the computed load magnitude. The numerical results provided by the proposed quasi-brittle damage model combined with E(BV/TV) are a reliable tool for the vertebrae fracture prediction.

Identifiants

pubmed: 31741469
pii: 101194794

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

143-151

Auteurs

Zahira Nakhli (Z)

Laboratoire de Recherche Matériaux Mesures et Application (MMA), University of Carthage, National Institute of Sciences and Technology (INSAT), Tunis, Tunisia.

Fafa Ben Hatira (FB)

Laboratoire de Recherche Matériaux Mesures et Application (MMA), University of Carthage, National Institute of Sciences and Technology (INSAT), Tunis, Tunisia.

Martine Pithioux (M)

Aix Marseille University, (ISM) Institute of Movement Sciences, Marseille, France.

Patrick Chabrand (P)

Aix Marseille University, (ISM) Institute of Movement Sciences, Marseille, France.

Khemais Saanouni (K)

ICD/LASMIS, Université de Technologie de Troyes, Troyes, France.

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Classifications MeSH