title: Development of a finite element head model for the study of impact head injury.
abstract: This study is aimed at developing a high quality, validated finite element (FE) human head model for traumatic brain injuries (TBI) prediction and prevention during vehicle collisions. The geometry of the FE model was based on computed tomography (CT) and magnetic resonance imaging (MRI) scans of a volunteer close to the anthropometry of a 50th percentile male. The material and structural properties were selected based on a synthesis of current knowledge of the constitutive models for each tissue. The cerebrospinal fluid (CSF) was simulated explicitly as a hydrostatic fluid by using a surface-based fluid modeling method. The model was validated in the loading condition observed in frontal impact vehicle collision. These validations include the intracranial pressure (ICP), brain motion, impact force and intracranial acceleration response, maximum von Mises stress in the brain, and maximum principal stress in the skull. Overall results obtained in the validation indicated improved biofidelity relative to previous FE models, and the change in the maximum von Mises in the brain is mainly caused by the improvement of the CSF simulation. The model may be used for improving the current injury criteria of the brain and anthropometric test devices.
authors.affiliation: College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China ; Department of Mechanical Engineering, National University of Singapore, Singapore 117576.
authors.forename: Bin
authors.initials: B
authors.lastname: Yang
authors.affiliation: Department of Mechanical Engineering, National University of Singapore, Singapore 117576.
authors.forename: Kwong-Ming
authors.initials: KM
authors.lastname: Tse
authors.affiliation: College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Chen
authors.affiliation: Department of Mechanical Engineering, National University of Singapore, Singapore 117576.
authors.forename: Long-Bin
authors.initials: LB
authors.lastname: Tan
authors.affiliation: College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.
authors.forename: Qing-Qian
authors.initials: QQ
authors.lastname: Zheng
authors.affiliation: College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.
authors.forename: Hui-Min
authors.initials: HM
authors.lastname: Yang
authors.affiliation: College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.
authors.forename: Min
authors.initials: M
authors.lastname: Hu
authors.affiliation: College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Pan
authors.affiliation: Department of Mechanical Engineering, National University of Singapore, Singapore 117576.
authors.forename: Heow-Pueh
authors.initials: HP
authors.lastname: Lee
mesh_terms: D000063:Accidents, Traffic; D001930:Brain Injuries / Q000000981:diagnostic imaging* / Q000503:physiopathology; D020342:Finite Element Analysis; D006801:Humans; D008279:Magnetic Resonance Imaging; D008953:Models, Anatomic; D011859:Radiography; D012886:Skull / Q000000981:diagnostic imaging / Q000293:injuries* / Q000503:physiopathology