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Multiscale modeling of femur fracture
Author(s) -
Fish Jacob,
Hu Nan
Publication year - 2016
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.5450
Subject(s) - homogenization (climate) , hounsfield scale , anisotropy , finite element method , femur , quantitative computed tomography , cortical bone , orientation (vector space) , tomography , bone density , biomedical engineering , computer science , materials science , biological system , mathematics , structural engineering , geology , physics , geometry , osteoporosis , computed tomography , anatomy , engineering , optics , medicine , biodiversity , ecology , paleontology , endocrinology , biology , radiology
Summary We present two multiscale approaches for fracture analysis of full scale femur. The two approaches are the reduced order homogenization (ROH) previously developed by the first author and his associates and a novel accelerated ROH (AROH). The AROH is based on utilizing ROH calibrated to limited experimental data as a training tool to calibrate a simpler, single‐scale anisotropic damage model. For bone tissue orientation, we take advantage of so‐called Wolff's law, which states that bone tissue orientation is well correlated with principal strain direction in a stance position. The meso‐phase properties are identified by minimizing error between the overall cortical and trabecular bone properties resulting from the quantitative computed tomography (QCT) scans and those predicted by the two‐scale homogenization. The overall elastic and inelastic properties of the cortical and trabecular bone microstructure are derived from bone density that can be estimated from the Hounsfield units, which represent the measured grey levels in the QCT scans. For model validation, we conduct ROH and AROH simulations of full scale finite element model of femur created from the QCT and compare the simulation results with available experimental data. Copyright © 2016 John Wiley & Sons, Ltd.