Lateral Impact Validation of a Geometrically Accurate Full Body Finite Element Model for Blunt Injury Prediction

Vavalle, Nicholas A.; Moreno, Daniel P.; Rhyne, Ashley C.; Stitzel, Joel D.; Gayzik, F. Scott

doi:10.1007/s10439-012-0684-3

Cited by 78 publications

(30 citation statements)

References 42 publications

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“…Several FE-HBMs have been developed in recent years (Iwamoto et al, 2002;Vezin and Verriest, 2005;Vavalle et al, 2013). One frequently used model is the Total HUman Model for Safety (THUMS) (Iwamoto et al, 2002;Shigeta et al, 2009).…”

Section: Introductionmentioning

confidence: 98%

Construction and evaluation of thoracic injury risk curves for a finite element human body model in frontal car crashes

Mendoza-Vazquez

Davidsson

Brolin

2015

Accident Analysis & Prevention

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Section: Introductionmentioning

confidence: 98%

Construction and evaluation of thoracic injury risk curves for a finite element human body model in frontal car crashes

Mendoza-Vazquez

Davidsson

Brolin

2015

Accident Analysis & Prevention

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“…The reference and FE model homologous landmarks were derived from the Global Human Body Models Consortium (GHBMC) v4.2 average male occupant model. The GHBMC is representative of a 50th percentile male (M50) and was based on medical images of a 26-YO individual (height, 174.9 cm; weight, 78.6 ± 0.77 kg; and body mass index [BMI], 25.7 ± 0.25; Gayzik et al 2011;Vavalle et al 2013). A simplified full-body model using the GHBMC M50 v4.2 was developed by combining the detailed thorax, detailed abdomen, rigid head, simplified neck, and rigid lower extremity.…”

Section: Geometric Changes With Agingmentioning

confidence: 99%

Age- and Sex-Specific Thorax Finite Element Model Development and Simulation

Schoell

Weaver

Vavalle

et al. 2015

Traffic Injury Prevention

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Objective:The shape, size, bone density, and cortical thickness of the thoracic skeleton vary significantly with age and sex, which can affect the injury tolerance, especially in at-risk populations such as the elderly. Computational modeling has emerged as a powerful and versatile tool to assess injury risk. However, current computational models only represent certain ages and sexes in the population. The purpose of this study was to morph an existing finite element (FE) model of the thorax to depict thorax morphology for males and females of ages 30 and 70 years old (YO) and to investigate the effect on injury risk.Methods: Age-and sex-specific FE models were developed using thin-plate spline interpolation. In order to execute the thin-plate spline interpolation, homologous landmarks on the reference, target, and FE model are required. An image segmentation and registration algorithm was used to collect homologous rib and sternum landmark data from males and females aged 0-100 years. The Generalized Procrustes Analysis was applied to the homologous landmark data to quantify age-and sex-specific isolated shape changes in the thorax. The Global Human Body Models Consortium (GHBMC) 50th percentile male occupant model was morphed to create age-and sex-specific thoracic shape change models (scaled to a 50th percentile male size). To evaluate the thoracic response, 2 loading cases (frontal hub impact and lateral impact) were simulated to assess the importance of geometric and material property changes with age and sex.Results: Due to the geometric and material property changes with age and sex, there were observed differences in the response of the thorax in both the frontal and lateral impacts. Material property changes alone had little to no effect on the maximum thoracic force or the maximum percent compression. With age, the thorax becomes stiffer due to superior rotation of the ribs, which can result in increased bone strain that can increase the risk of fracture. For the 70-YO models, the simulations predicted a higher number of rib fractures in comparison to the 30-YO models. The male models experienced more superior rotation of the ribs in comparison to the female models, which resulted in a higher number of rib fractures for the males.Conclusion: In this study, age-and sex-specific thoracic models were developed and the biomechanical response was studied using frontal and lateral impact simulations. The development of these age-and sex-specific FE models of the thorax will lead to an improved understanding of the complex relationship between thoracic geometry, age, sex, and injury risk.

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“…The F05 model is a development version. Overviews of the models can be found in their respective manuals and in publications (e.g., Vavalle et al 2013;Davis et al 2016). Both models are based on imaging data sets collected on human volunteers with dimensions close to the targeted percentiles (e.g., statures of 1750 mm and 1499 mm for the M50 and the F05, respectively).…”

Section: Models and Simulation Conditionsmentioning

confidence: 99%

An investigation of human body model morphing for the assessment of abdomen responses to impact against a population of test subjects

Beillas

Berthet²

2017

Traffic Injury Prevention

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Objective: Human body models have the potential to better describe the human anatomy and variability than dummies. However, data sets available to verify the human response to impact are typically limited in numbers, and they are not size or gender specific. The objective of this study was to investigate the use of model morphing methodologies within that context. Methods: In this study, a simple human model scaling methodology was developed to morph two detailed human models (Global Human Body Model Consortium models 50th male, M50, and 5th female, F05) to the dimensions of post mortem human surrogates (PMHS) used in published literature. The methodology was then successfully applied to 52 PMHS tested in 14 impact conditions loading the abdomen. The corresponding 104 simulations were compared to the responses of the PMHS and to the responses of the baseline models without scaling (28 simulations). The responses were analysed using the CORA method and peak values. Results:The results suggest that model scaling leads to an improvement of the predicted force and deflection but has more marginal effects on the predicted abdominal compressions. M50 and F05 models scaled to the same PMHS were also found to have similar external responses, but large differences were found between the two sets of models for the strain energy densities in the liver and the spleen for mid-abdomen impact simulations. These differences, which were attributed to the anatomical differences in the abdomen of the baseline models, highlight the importance of the selection of the impact condition for simulation studies, especially if the organ location is not known in the test. Conclusions: While the methodology could be further improved, it shows the feasibility of using model scaling methodologies to compare human models of different sizes and to evaluate scaling approaches within the context of human model validation.

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Lateral Impact Validation of a Geometrically Accurate Full Body Finite Element Model for Blunt Injury Prediction

Cited by 78 publications

References 42 publications

Construction and evaluation of thoracic injury risk curves for a finite element human body model in frontal car crashes

Construction and evaluation of thoracic injury risk curves for a finite element human body model in frontal car crashes

Age- and Sex-Specific Thorax Finite Element Model Development and Simulation

An investigation of human body model morphing for the assessment of abdomen responses to impact against a population of test subjects

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