title: Comparisons of node-based and element-based approaches of assigning bone material properties onto subject-specific finite element models.
abstract: Subject-specific finite element (FE) models can be generated from computed tomography (CT) datasets of a bone. A key step is assigning material properties automatically onto finite element models, which remains a great challenge. This paper proposes a node-based assignment approach and also compares it with the element-based approach in the literature. Both approaches were implemented using ABAQUS. The assignment procedure is divided into two steps: generating the data file of the image intensity of a bone in a MATLAB program and reading the data file into ABAQUS via user subroutines. The node-based approach assigns the material properties to each node of the finite element mesh, while the element-based approach assigns the material properties directly to each integration point of an element. Both approaches are independent from the type of elements. A number of FE meshes are tested and both give accurate solutions; comparatively the node-based approach involves less programming effort. The node-based approach is also independent from the type of analyses; it has been tested on the nonlinear analysis of a Sawbone femur. The node-based approach substantially improves the level of automation of the assignment procedure of bone material properties. It is the simplest and most powerful approach that is applicable to many types of analyses and elements.
authors.affiliation: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China. Electronic address: gongfa.chen@gdut.edu.cn.
authors.forename: G
authors.initials: G
authors.lastname: Chen
authors.affiliation: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China.
authors.forename: F Y
authors.initials: FY
authors.lastname: Wu
authors.affiliation: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China.
authors.forename: Z C
authors.initials: ZC
authors.lastname: Liu
authors.affiliation: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China.
authors.forename: K
authors.initials: K
authors.lastname: Yang
authors.affiliation: Institute of High Performance Computing, A(*)STAR, Singapore.
authors.forename: F
authors.initials: F
authors.lastname: Cui
mesh_terms: D001842:Bone and Bones / Q000000981:diagnostic imaging* / Q000502:physiology*; D020342:Finite Element Analysis; D016014:Linear Models; D008954:Models, Biological; D017711:Nonlinear Dynamics; D010363:Pattern Recognition, Automated; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods*
keywords: Bone; Computed tomography; Element-based approaches; Finite element models; Material assignment; Node-based approaches