Validation of Simulated Chestband Data in Frontal and Lateral Loading Using a Human Body Finite Element Model

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

doi:10.1080/15389588.2013.799278

Cited by 29 publications

(10 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The GHBMC M50 v4.2 is preprogrammed with upper, middle, and lower chestbands that are each composed of 32 nodes (Hayes et al 2014). Chestbands were placed around the circumference of the chest approximately at the level of the fourth, sixth, and eight ribs.…”

Section: Simulation Validationmentioning

confidence: 99%

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

Schoell

Weaver

Vavalle

et al. 2015

Traffic Injury Prevention

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Simulation Validationmentioning

confidence: 99%

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

Schoell

Weaver

Vavalle

et al. 2015

Traffic Injury Prevention

Self Cite

View full text Add to dashboard Cite

show abstract

“…Whole body simulation configuration and occupant position are shown for the M50-O ( Figures 2B-G) with rigid impactors shown in gray. These simulations mimicked the experimental testing configurations of previously validated (Vavalle et al, 2013;Hayes et al, 2014) and published rigid hub (n = 8) ( Figures 2B-E) (Kroell et al, 1971;Viano, 1989;Hardy et al, 2001;Koh et al, 2005) and full body sled pulses (n = 6) ( Figures 2F,G) (Wismans et al, 1986;Forman et al, 2006). Due to the complexity of two full body testing configurations (Figure 2G), the model versions used for the original simulation development were used in this study (versions 4.5 and 1.8.4 of the M50-O and M50-OS, respectively), although no changes in the neck models were made for these later versions.…”

Section: Methodsmentioning

confidence: 74%

Comparison of Neck Injury Criteria Values Across Human Body Models of Varying Complexity

Johnson

Koya

Gayzik

2020

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

Due to the severity and frequency of cervical spine injuries, the neck injury criterion (Nij) was developed to provide a quantitative relationship between forces and moments of the upper neck with accompanied injury risk. The present study was undertaken to evaluate differences in calculated Nij for the Global Human Body Model Consortium's detailed and simplified average 50th percentile male models. The simplified model is a computationally light version of the more detailed model and therefore it is of interest to achieve similar Nij values between the two models. These models were compared in 15 match paired conditions of rigid head impact and a mixture of seven full body rigid hub and sled pulses, for 44 total simulations. Collectively, Nij values of the simplified model were found to exhibit a second-degree polynomial fit, allowing for a conversion to the prediction of the detailed model. Correlates were also derived for impact and inertial loading cases individually, for which the latter may be the subject of future work. The differences in Nij may be attributed to a variety of modeling approach differences related to neck muscles (attachment location and morphometric implementation), localization of head mass within the M50-OS, head geometry, and intervertebral joint space properties. With a primary focus on configurations in the anterior-posterior direction, there is a potential limitation in extensibility to lateral loading cases. In response to the relatively low Nij values exhibited, future work should evaluate the appropriateness of the established critical intercepts of Nij for computational human body models.

show abstract

“…Chest bands were modeled by tracking skin nodes on the THUMS thorax in locations comparable to experimental chest band location ( Fig. 2C) (Kuppa and Eppinger, 1998;Pintar et al, 1997;Haynes et al, 2014). The chest bands were analyzed by calculating the distance from a node on the front to a corresponding node on the back throughout the course of the simulations.…”

Section: Injury Metric Assessment In Thumsmentioning

confidence: 99%