Repositioning the Knee Joint in Human Body FE Models Using a Graphics-Based Technique

Jani, Dhaval; Chawla, Anoop; Mukherjee, Sudipto; Goyal, Rahul; Vusirikala, Nataraju; Jayaraman, Suresh Kumaar

doi:10.1080/15389588.2012.664669

Cited by 3 publications

(1 citation statement)

References 43 publications

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“…Using the Vicon kinematics data extracted at the time of the impact (t = 0), subject-specific pre-impact postures of the model were created rather than using an average posture ( Figure A1, see online supplement). Care was taken to match the (1) pelvis orientation, (2) knee position (Jani et al 2012), (3) spine curvature (Poulard, Subit, et al 2015), and (4) shrugged posture of the shoulders due to the manner in which the PMHS were supported in the tests (Forman et al 2015a). For step (5), gravity was applied to settle the model on the ground and then step (6) included positioning the arm after binding the arms together.…”

Section: Thums Pfem Scaling and Positioningmentioning

confidence: 99%

Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck

Kim

Bollapragada

et al. 2017

Traffic Injury Prevention

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(2017) Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck, Traffic Injury Prevention, 18:sup1, S148-S154, DOI: 10.1080DOI: 10. /15389588.2017 Objective: The goal of this study was to evaluate the biofidelity of the Total Human Model for Safety (THUMS; Ver. 4.01) pedestrian finite element models (PFEM) in a whole-body pedestrian impact condition using a well-characterized generic pedestrian buck model. Methods:The biofidelity of THUMS PFEM was evaluated with respect to data from 3 full-scale postmortem human subject (PMHS) pedestrian impact tests, in which a pedestrian buck laterally struck the subjects using a pedestrian buck at 40 km/h. The pedestrian model was scaled to match the anthropometry of the target subjects and then positioned to match the pre-impact postures of the target subjects based on the 3-dimensional motion tracking data obtained during the experiments. An objective rating method was employed to quantitatively evaluate the correlation between the responses of the models and the PMHS.Injuries in the models were predicted both probabilistically and deterministically using empirical injury risk functions and strain measures, respectively, and compared with those of the target PMHS. Conclusions: Based on the data considered, the THUMS PFEM was considered to be biofidelic for this pedestrian impact condition and vehicle. Given the capability of the model to reproduce biomechanical responses, it shows potential as a valuable tool for developing novel pedestrian safety systems.

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Section: Thums Pfem Scaling and Positioningmentioning

confidence: 99%

Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck

Kim

Bollapragada

et al. 2017

Traffic Injury Prevention

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Quantifying the Importance of Active Muscle Repositioning a Finite Element Neck Model in Flexion Using Kinematic, Kinetic, and Tissue-Level Responses

Hadagali,

Fischer,

Callaghan

et al. 2023

Ann Biomed Eng

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Enhancing the Biofidelity of an Upper Cervical Spine Finite Element Model Within the Physiologic Range of Motion and Its Effect on the Full Ligamentous Neck Model Response

Hadagali

Cronin

2022

Journal of Biomechanical Engineering

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Contemporary finite element neck models are developed in a neutral posture; however, evaluation of injury risk for out-of-position impacts requires neck model repositioning to non-neutral postures, with much of the motion occurring in the upper cervical spine (UCS). Current neck models demonstrate a limitation in predicting the intervertebral motions within the UCS within the range of motion (ROM), while recent studies have highlighted the importance of including the tissue strains resulting from repositioning FE neck models to predict injury risk. In the current study, the ligamentous cervical spine from a contemporary neck model (GHBMC M50 v4.5) was evaluated in flexion, extension and axial rotation by applying moments from 0 to 1.5 Nm in 0.5 Nm increments, as reported in experimental studies and corresponding to the physiologic loading of the UCS. Enhancements to the UCS model were identified, including the C0-C1 joint-space and alar ligament orientation. Following geometric enhancements, an analysis was undertaken to determine the UCS ligament laxities, using a sensitivity study followed by an optimization study. The ligament laxities were optimized to UCS-level experimental data from the literature. The mean percent difference between UCS model response and experimental data improved from 55% to 23% with enhancements. The enhanced UCS model was integrated with a ligamentous cervical spine (LS) model and assessed with independent experimental data. The mean percent difference between the LS model and the experimental data improved from 46% to 35% with the integration of the enhanced UCS model.

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Repositioning the Knee Joint in Human Body FE Models Using a Graphics-Based Technique

Cited by 3 publications

References 43 publications

Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck

Evaluation of biofidelity of THUMS pedestrian model under a whole-body impact conditions with a generic sedan buck

Quantifying the Importance of Active Muscle Repositioning a Finite Element Neck Model in Flexion Using Kinematic, Kinetic, and Tissue-Level Responses

Enhancing the Biofidelity of an Upper Cervical Spine Finite Element Model Within the Physiologic Range of Motion and Its Effect on the Full Ligamentous Neck Model Response

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