Evaluation of finite element human body models in lateral padded pendulum impacts to the shoulder

2010 ◽  
Vol 15 (2) ◽  
pp. 125-142 ◽  
Author(s):  
Daniel Lanner ◽  
Peter Halldin ◽  
Johan Iraeus ◽  
Kristian Holmqvist ◽  
Krystoffer Mroz ◽  
...  
Keyword(s):  
Finite Element ◽  
Human Body ◽  
Human Body Models

Pelvic Injury Survival Analysis for a Finite Element Human Body Model Using Multiple Data Sets

2018 ◽  
Author(s):  
Caitlin M. Weaver ◽  
Anna N. Miller ◽  
Joel D. Stitzel
Keyword(s):  
Finite Element ◽  
Pelvic Fracture ◽  
Human Body ◽  
Roc Curve ◽  
Predictive Power ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Multiple Data Sets ◽  
Human Body Models

Finite element (FE) computational human body models (HBMs) have gained popularity over the past several decades as human surrogates for use in blunt injury research. FE HBMs are critical for the analysis of local injury mechanisms. These metrics are challenging to measure experimentally and demonstrate an important advantage of HBMs. The objective of this study is to evaluate the injury risk predictive power of localized metrics to predict the risk of pelvic fracture in a FE HBM. The Global Human Body Models Consortium (GHBMC) 50th percentile detailed male model (v4.3) was used for this study. Cross-sectional and cortical bone surface instrumentation was implemented in the GHBMC pelvis. Lateral impact FE simulations were performed using input data from tests performed on post mortem human subjects (PMHS). Predictive power of the FE force and strain outputs on localized fracture risk was evaluated using the receiver operator characteristic (ROC) curve analysis. The ROC curve analysis showed moderate predictive power for the superior pubic ramus and sacrum. Additionally, cross-sectional force was compared to a range of percentile outputs of maximum principal, minimum principal, and effective cortical element strains. From this analysis it was determined that cross-sectional force was the best predictor of localized pelvic fracture.

A Nonlinear Viscoelastic Model for Adipose Tissue Representing Tissue Response at a Wide Range of Strain Rates and High Strain Levels

2018 ◽  
Vol 140 (4) ◽  
Author(s):  
Hosein Naseri ◽  
Håkan Johansson ◽  
Karin Brolin
Keyword(s):  
Finite Element ◽  
Adipose Tissue ◽  
Human Body ◽  
Viscoelastic Model ◽  
Tissue Response ◽  
Strain Rates ◽  
Nonlinear Viscoelastic ◽  
Wide Range ◽  
Human Body Models ◽  
Nonlinear Viscoelastic Model

Finite element human body models (FEHBMs) are nowadays commonly used to simulate pre- and in-crash occupant response in order to develop advanced safety systems. In this study, a biofidelic model for adipose tissue is developed for this application. It is a nonlinear viscoelastic model based on the Reese et al.'s formulation. The model is formulated in a large strain framework and applied for finite element (FE) simulation of two types of experiments: rheological experiments and ramped-displacement experiments. The adipose tissue behavior in both experiments is represented well by this model. It indicates the capability of the model to be used in large deformation and wide range of strain rates for application in human body models.

Evaluation of finite element human body models for use in a standardized protocol for pedestrian safety assessment

2019 ◽  
Vol 20 (sup2) ◽  
pp. S32-S36 ◽  
Author(s):  
William Decker ◽  
Bharath Koya ◽  
Wansoo Pak ◽  
Costin D. Untaroiu ◽  
F. Scott Gayzik
Keyword(s):  
Finite Element ◽  
Human Body ◽  
Safety Assessment ◽  
Pedestrian Safety ◽  
Standardized Protocol ◽  
Human Body Models

A Method to Use Kriging With Large Sets of Control Points to Morph Finite Element Models of the Human Body

2020 ◽  
Vol 143 (2) ◽  
Author(s):  
Tomáš Janák ◽  
Yoann Lafon ◽  
Philippe Petit ◽  
Philippe Beillas
Keyword(s):  
Body Mass Index ◽  
Finite Element ◽  
Body Mass ◽  
Human Body ◽  
Surface Model ◽  
Control Points ◽  
Large Sets ◽  
Spatial Subdivision ◽  
Male Model ◽  
Human Body Models

Abstract As developing finite element (FE) human body models for automotive impact is a time-consuming process, morphing using interpolation methods such as kriging has often been used to rapidly generate models of different shapes and sizes. Kriging can be computationally expensive when many control points (CPs) are used, i.e., for very detailed target geometry (e.g., shape of bones and skin). It can also lead to element quality issues (up to inverted elements) preventing the use of the morphed models for finite element simulation. This paper presents a workflow combining iterative subsampling and spatial subdivision methodology that effectively reduces the computational costs and allows for the generation of usable models through kriging with hundreds of thousands of control points. As subdivision introduces discontinuities in the interpolation function that can cause distortion of elements on the boundaries of individual subdivision areas, algorithms for smoothing the interpolation over those boundaries are proposed and compared. Those techniques and their combinations were tested and evaluated in a scenario of mass change on the detailed 50th percentile male model of the global human body models consortium (GHBMC): the model, which has body mass index (BMI) 25.34, was morphed toward a statistical surface model of a person with body mass index 20, 22.7 and 35. 234 777 control points were used to successfully morph the model in less than 15 min on an office PC. Open source implementation is provided.

scholarly journals Towards overcoming the bottleneck of optimizing control parameters in finite element active human body models

PAMM ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Oleksandr V. Martynenko ◽  
Katrin Stollenmaier ◽  
Carola A. Endler ◽  
Fabian T. Neininger ◽  
Syn Schmitt ◽  
...  
Keyword(s):  
Finite Element ◽  
Human Body ◽  
Control Parameters ◽  
Human Body Models ◽  
Optimizing Control

Application of a Standard Quantitative Comparison Method to Assess a Full Body Finite Element Model in Frontal Impact

2013 ◽  
Author(s):  
Nicholas A. Vavalle ◽  
Daniel P. Moreno ◽  
Joel D. Stitzel ◽  
F. Scott Gayzik
Keyword(s):  
Finite Element ◽  
Human Body ◽  
Quantitative Methods ◽  
Mission Statement ◽  
Element Model ◽  
Comparison Method ◽  
Injury Biomechanics ◽  
Rigorous Approach ◽  
Time Histories ◽  
Human Body Models

Advanced human body finite element models (FEMs) are gaining popularity in the study of injury biomechanics [1, 2]. FEMs must be validated to ensure that model outputs correspond to experimentally-observed phenomena. During the validation process researchers often qualitatively compare the model response to a laboratory experiment. However, a more rigorous approach is to use quantitative methods. Often, these methods attempt to parse the error contributions of phase, magnitude, and a shape factor. The purpose of this study is to apply one such method for validation quantification, called the enhanced error assessment of response time histories (EEARTH), to a model that was recently developed. The EEARTH method is anticipated to be part of the forthcoming ISO standard (ISO/TC 22/SC 10/WG 4) on comparing model outcomes to experimental data. The subject of this study is the Global Human Body Models Consortium (GHBMC) 50 th percentile male seated model (M50). The mission statement of the consortium is to develop a set of biofidelic computational human body models to aid in the study injury biomechanics and safety system enhancement.

scholarly journals A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Guibing Li ◽  
Zheng Tan ◽  
Xiaojiang Lv ◽  
Lihai Ren
Keyword(s):  
Finite Element ◽  
Human Body ◽  
Head Injuries ◽  
Computing Time ◽  
Upper Body ◽  
Vehicle Crashes ◽  
Lateral Impact ◽  
Computationally Efficient ◽  
Pedestrian Impact ◽  
Human Body Models

Head injuries are often fatal or of sufficient severity to pedestrians in vehicle crashes. Finite element (FE) simulation provides an effective approach to understand pedestrian head injury mechanisms in vehicle crashes. However, studies of pedestrian head safety considering full human body response and a broad range of impact scenarios are still scarce due to the long computing time of the current FE human body models in expensive simulations. Therefore, the purpose of this study is to develop and validate a computationally efficient FE pedestrian model for future studies of pedestrian head safety. Firstly, a FE pedestrian model with a relatively small number of elements (432,694 elements) was developed in the current study. This pedestrian model was then validated at both segment and full body levels against cadaver test data. The simulation results suggest that the responses of the knee, pelvis, thorax, and shoulder in the pedestrian model are generally within the boundaries of cadaver test corridors under lateral impact loading. The upper body (head, T1, and T8) trajectories show good agreements with the cadaver data in vehicle-to-pedestrian impact configuration. Overall, the FE pedestrian model developed in the current study could be useful as a valuable tool for a pedestrian head safety study.

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