Further Validation of the Head in the Ford Human Body FE Model

2011 ◽  
Author(s):  
Raed E. El-Jawahri ◽  
Tony R. Laituri ◽  
Jesse Ruan
Keyword(s):  
Test Data ◽  
Human Body ◽  
Impact Test ◽  
Human Subjects ◽  
Nasal Bone ◽  
Head Model ◽  
Fe Model ◽  
Human Body Model ◽  
Head Injury Criterion ◽  
Pendulum Impact

The head in the Ford human body model (FHBM) was previously validated against impact test data involving post mortem human subjects (PMHS). The objective of the current study was to further validate the head model against more PMHS tests. The data included the following published tests: rigid bar impact to the forehead, zygoma, and maxilla (2.5–4.2 m/s), lateral pendulum impact (5.7 m/s), and front pendulum impact to the frontal bone, nasal bone, and maxilla (2.2 m/s). The responses from the model were compared to available published cadaveric response corridors and to various cadaveric responses. When compared to the cadaveric response corridors, the responses from the model were within those corridors. In addition, the model responses demonstrated acceptable fidelity with respect to the test data. The head injury criterion (HIC15), strain, and stress values from the model were also reported.

scholarly journals Brain Injury Differences in Frontal Impact Crash Using Different Simulation Strategies

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Dao Li ◽  
Chunsheng Ma ◽  
Ming Shen ◽  
Peiyu Li ◽  
Jinhuan Zhang
Keyword(s):  
Brain Injury ◽  
Human Body ◽  
Human Head ◽  
Von Mises Stress ◽  
Head Model ◽  
Fe Model ◽  
Human Body Model ◽  
Body Model ◽  
Cumulative Strain ◽  
The Brain

In the real world crashes, brain injury is one of the leading causes of deaths. Using isolated human head finite element (FE) model to study the brain injury patterns and metrics has been a simplified methodology widely adopted, since it costs significantly lower computation resources than a whole human body model does. However, the degree of precision of this simplification remains questionable. This study compared these two kinds of methods: (1) using a whole human body model carried on the sled model and (2) using an isolated head model with prescribed head motions, to study the brain injury. The distribution of the von Mises stress (VMS), maximum principal strain (MPS), and cumulative strain damage measure (CSDM) was used to compare the two methods. The results showed that the VMS of brain mainly concentrated at the lower cerebrum and occipitotemporal region close to the cerebellum. The isolated head modelling strategy predicted higher levels of MPS and CSDM 5%, while the difference is small in CSDM 10% comparison. It suggests that isolated head model may not equivalently reflect the strain levels below the 10% compared to the whole human body model.

DEVELOPMENT OF A BELTED OCCUPANT FE MODEL FOR PREDICTION OF CHEST INJURY RISK BASED ON STRESS AND STRAIN ANALYSIS

2017 ◽  
Vol 17 (03) ◽  
pp. 1750060
Author(s):  
SEN XIAO ◽  
JIKUANG YANG ◽  
JING HUANG ◽  
JEFF R. CRANDALL
Keyword(s):  
Human Body ◽  
Injury Risk ◽  
Human Subjects ◽  
Strain Analysis ◽  
Element Model ◽  
Chest Injury ◽  
Stress And Strain ◽  
Fe Model ◽  
Human Body Model ◽  
Virtual Design

This study aims to investigate the chest injury in terms of chest deflections and rib fracture risks based on the stress/strain analysis via a belted occupant finite element model (BOM). The BOM was established using a human body model from the Global Human Body Models Consortium (GHBMC) and the model was validated against a frontal sled test with a Post-Mortem Human Subjects (PMHS). The bio-fidelity of the belted occupant model was then evaluated according to measured data from experimental test regarding detailed torso kinematics and seatbelt forces. The BOM was then used for prediction of the chest injury via calculated injury related parameters from simulations, including stress and strain distributions on the whole ribcage, which could not be fully measured in PMHS test. A study of chest injury risk was conducted with the validated model. Special concern is given to the injuries on rib fractures and chest deflections which have been correlated to the calculated stresses and strains. The results demonstrate that the validation can sufficiently meet the reconstruction of the test and the chest injury outcomes obtained from the simulation can fit the experiment, particularly the fracture risk of the rib 6 to the rib 11 on the chest along the seatbelt path. The current study provides a reference for virtual design and improvement of the chest injury investigation to better prevent chest injuries.

Modeling and Reconstruction of Multi-Fidelity Traumatic Head Injury due to Blunt Impact

2017 ◽  
Author(s):  
X. Gary Tan ◽  
Amit Bagchi
Keyword(s):  
Brain Injury ◽  
Human Body ◽  
Computational Models ◽  
Head Model ◽  
High Fidelity ◽  
Human Body Model ◽  
Body Model ◽  
Blunt Impact ◽  
Real Scenario ◽  
The Brain

Traumatic brain injury (TBI) is one of the most common injuries to service members in recent conflicts. Computational models can offer insights in understanding the underlying mechanism of brain injury, which lead to the crucial development of effective personal protective equipment designed to prevent or mitigate the TBI. Historically many computational models were developed for the brain injury study. However, these models use relatively coarse mesh with a less detailed head anatomy. Many models consider the head only and thus cannot properly model the real scenario, i.e., accidental fall, blunt impact or blast loading. A whole-body finite element model can represent the real scenario but is very expensive to use. By combining the high-fidelity human head model with an articulated human body model, we developed the computational multi-fidelity human models to investigate the blunt- and blast-related TBI efficiently. A high-fidelity computational head model was generated from the high resolution image data to accurately reproduce the complex musculoskeletal and tissue structure of the head. The fast-running articulated human body model is based on the multi-body dynamics and was used to reconstruct the accidental falls. By utilizing the kinematics and force and moment at the joint of the articulated human body model, we can realistically simulate the blunt impact and assess the brain injury using the high-fidelity head model.

Personificación de Modelos de Elementos Finitos de Cuerpo Humano

2019 ◽  
Vol 7 ◽  
Author(s):  
Ana Piqueras Lorente ◽  
Johan Iraeus ◽  
Francisco José López Valdés ◽  
Ana Isabel Lorente Corellanos ◽  
Óscar Juste Lorente ◽  
...  
Keyword(s):  
Human Body ◽  
Human Subject ◽  
Human Subjects ◽  
Initial Position ◽  
Anatomical Landmarks ◽  
Post Mortem ◽  
Human Body Model ◽  
Body Model ◽  
Measured Position ◽  
Oblique Impacts

The goal of this study was to quantify the effect of improving the geometry of a human body model on the accuracy of the predicted kinematics for 4 post-mortem human subject sled tests. Three modifications to the computational human body model THUMS were carried out to evaluate if subject personification can increase the agreement between predicted and measured kinematics of post-mortem human subjects in full frontal and nearside oblique impacts. The modifications consisted of: adjusting the human body model mass to the actual subject mass, morphing it to the actual anthropometry of each subject and finally adjustment of the model initial position to the measured position in selected post-mortem human subject tests. A quantitative assessment of the agreement between predicted and measured response was carried out by means of CORA analysis by comparing the displacement of selected anatomical landmarks (head CoG, T1 and T8 vertebre and H-Point). For all three scenarios, the more similar the human body model was to the anthropometry and posture of the sled tested post-mortem human subject, the more similar the predictions were to the measured responses of the post-mortem human subject, resulting in higher CORA score.

Numerical Simulation of Helmeted Headform Drop Test Based on the EN1078 Standard

2014 ◽  
Vol 644-650 ◽  
pp. 798-802 ◽  
Author(s):  
Ching Yu Hsu ◽  
Tso Liang Teng ◽  
Cho Chung Liang ◽  
Wu Chang Kuo ◽  
Chien Jong Shih ◽  
...  
Keyword(s):  
Finite Element ◽  
Impact Test ◽  
Focal Point ◽  
Time History ◽  
Fe Model ◽  
Test Model ◽  
Bicycle Helmet ◽  
Design Problems ◽  
Head Injury Criterion ◽  
History Of

The shock absorption test of the EN1078 standard is the focal point of this study. These performances are to setup a shock absorbing system for commercially available helmet, to measure the key parameters when an instrumented helmeted headform drops onto anvils. In this test, the helmet quality is assessed by measuring the acceleration time history of a headform during a helmeted headform impact. Helmet quality is expressed in terms of the injury parameters: maximum resultant linear headform acceleration of the headform's center of gravity and Head Injury Criterion (HIC). Besides, the present study performs to develop and validates a finite element of helmeted headform impact test. The FE model obtains by the scanned shapes of a bicycle helmet. The headform and anvil design in accordance with EN 960: 2006 and the EN1078 specification, respectively. This study performs finite element analyses of helmet impact tests using LS-DYNA software. The results of the present method fit the experimental results well, implying that the numerical method is a practical approach to helmet design problems. Furthermore, the helmet test model proposed here has potential for guiding the future development of helmet technologies.

Development and Validation of a 50th Percentile Male Pedestrian FE Model

2010 ◽  
Author(s):  
Raed E. El-Jawahri ◽  
Jesse S. Ruan ◽  
Stephen W. Rouhana ◽  
Saeed D. Barbat
Keyword(s):  
Test Data ◽  
Human Subjects ◽  
Bending Test ◽  
Human Model ◽  
Fe Model ◽  
Component Level ◽  
Three Point Bending ◽  
Pedestrian Impact ◽  
The Individual ◽  
Development And Validation

The objective of this study was to develop and validate a finite element (FE) human model that represents a 50th percentile adult pedestrian male. The geometry of the previously developed and well validated Ford Human Body (FHB) model was modified to change the posture from driving to standing. The femur, tibia, and fibula were validated against published test data of human bone specimens in different dynamic loading scenarios. The leg model was validated against dynamic, three-point bending test data of human legs from Post Mortem Human Subjects (PMHS). The kinematics and dynamics of the full pedestrian model was validated against PMHS car-pedestrian impact test data under different levels of severity. The model responses were compared with the corresponding published generalized response corridors. In all the component level and full body model simulations the responses from the model correlated well with both the generalized response corridors and the responses from the individual cadavers.

scholarly journals A New Approach and Analysis of Modeling the Human Body in RFID-Enabled Body-Centric Wireless Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Karoliina Koski ◽  
Toni Björninen ◽  
Lauri Sydänheimo ◽  
Leena Ukkonen ◽  
Yahya Rahmat-Samii
Keyword(s):  
Human Body ◽  
Human Subjects ◽  
Impedance Matching ◽  
Wireless Systems ◽  
Human Model ◽  
Communication Link ◽  
Uhf Rfid ◽  
Human Body Model ◽  
Design And Optimization ◽  
Wide Range

Body-centric wireless systems demand wearable sensor and tag antennas that have robust impedance matching and provide enough gain for a reliable wireless communication link. In this paper, we discuss a novel and practical technique for the modeling of the human body in UHF RFID body-centric wireless systems. What makes this technique different is that we base the human model on measured far-field response from a reference tag attached to the human body. Hereby, the human body model accounts for the encountered human body effects on the tag performance. The on-body measurements are fast, which allows establishing a catalog of human body models for different tag locations and human subjects. Such catalog would provide a ready simulation model for a wide range of wireless body-centric applications in order to initiate a functional design. Our results demonstrate that the suggested modeling technique can be used in the design and optimization of wearable antennas for different real-case body-centric scenarios.

Sign in / Sign up

Export Citation Format

Share Document