Biomechanical differences between children and adults are anatomically obvious and physiologically evident. Nevertheless, scaling laws have been used between child and adult mechanical properties in biomechanical injury studies. These laws may or may not be valid depending on the aging properties of the tissue being studied. Detailed adult human body finite element models have been developed in recent years, but not for children. Therefore, the objective of this study is to develop an industry-first, full-body digital human finite element (FE) model of a six-year old child aimed at helping improve vehicle safety for children and also validating the scaling laws between child and adult mechanical properties.The child digital model was developed based on CT scan images from a living six-year old child++. Model geometry was extracted from the CT scans through image analysis. Finite element (FE) mesh for different parts of the body was created from the geometric data obtained in the CT scan image analysis process. While the CT scans were taken with the subject supine, the model in this study is in a standing position, representing a pedestrian posture. Biomechanical properties of each component in the model were obtained from the literature. The model includes a detailed anatomical representation of human organs for a six-year old child, from head to toe. Predicted model responses are compared with test data found in the literature. Forces, displacements for the neck, chest, and abdomen; pressures for the brain are output for injury reference analysis. The analysis of the FE model was performed by using LS-DYNA software. Although the geometric accuracy of the six-year child FE model has been ensured by extracting data from living CT scan images, the mechanical property data used in the model and the impact response used for model comparison can only be considered tentative; since these data are sparse in literature.


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    Titel :

    Development of a Six-Year Old Digital Human Body Model for Vehicle Safety Analysis


    Beteiligte:
    Ruan, Jesse (Autor:in) / Rouhana, Stephen (Autor:in) / Barbat, Saeed (Autor:in)


    Erscheinungsdatum :

    2012


    Format / Umfang :

    16 Seiten





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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