scholarly journals Numerical Analysis of EOD Helmet under Blast Load Events Using Human Head Model

2020 ◽  
Vol 10 (22) ◽  
pp. 8227
Author(s):  
Borja Valverde-Marcos ◽  
Ignacio Rubio ◽  
Jacobo Antona-Makoshi ◽  
Anoop Chawla ◽  
José Antonio Loya ◽  
...  
Keyword(s):  
Brain Injury ◽  
Numerical Analysis ◽  
Mechanical Response ◽  
Scientific Literature ◽  
Human Head ◽  
Head Model ◽  
Explosive Ordnance Disposal ◽  
Low Probability ◽  
Blast Loadings ◽  
Blast Performance

Brain injury resulting from improved explosives devices (IEDs) is identified as a challenge for force securities to improve protection equipment. This paper focuses on the mechanical response of explosive ordnance disposal (EOD) helmet under different blast loadings. Limited published studies on this type of helmet are available in the scientific literature. The results obtained show the blast performance of the EOD helmet because a decrease in the maximum values in the measured damage parameters is found. Therefore, an EOD helmet minimizes the risks of the severity of injuries on the user showing a low probability of injury.

Biomechanical Assessment of the Bridging Vein Rupture of Blast-Induced Traumatic Brain Injury Using the Finite Element Human Head Model

2012 ◽  
Author(s):  
Chenzhi Wang ◽  
Jae Bum Pahk ◽  
Carey D. Balaban ◽  
Joseph Muthu ◽  
David A. Vorp ◽  
...  
Keyword(s):  
Shock Wave ◽  
Traumatic Brain Injury ◽  
Finite Element ◽  
Brain Injury ◽  
Mechanical Response ◽  
Human Head ◽  
Head Model ◽  
Fe Model ◽  
Bridging Vein ◽  
Human Head Model

The incidence of the blast-induced traumatic brain injury (bTBI) among American troops in battle environments is dramatically high in recent years. Shock wave, a production of detonation, is a brief and acute overpressure wave that travels supersonically with a magnitude which can be several times higher than atmospheric pressure. Primary bTBI means that human exposure to shock wave itself without any other impact of solid objects can still result in the impairment of cerebral tissues. The mechanism of this type of brain injury is different from that of the conventional TBI, and has not been fully understood. So far, it is believed that the shock wave transmitted through skull and into cerebral tissues may induce specific injury patterns. This study is trying to develop a methodology to numerically investigate the mechanism of the blast-induced subdural hematoma (bSDH), which is caused by bridging vein rupture. The effort of this study can be divided to three major parts: first, a finite element (FE) model of human head is developed from the magnetic resonance imaging (MRI) of a real human head to contain skull, CSF and brain. Numerically simulated shock waves transmits through the human head model whose mechanical responses are recorded; second, in order to obtain the mechanical properties of human bridging vein, an standard inflation test of blood vessels is conducted on a real human bridging vein sample gained from autopsy. Material parameters are found by fitting the experimental data to an anisotropic hyperelastic constitutive model for blood vessel (Gerhard A. Holzapfel 2000); third, The bridging vein rupture in bTBI is evaluated by the finite element analysis of a separate human bridging vein model under the external loadings in terms of the internal pressure and relative skull-brain motion which are extracted from the mechanical response of the subarachnoid space of the head in the blast-head simulation of the first part.

Recent Advances in Brain Injury Research: A New Human Head Model Development and Validation

2001 ◽  
Author(s):  
Liying Zhang ◽  
King H. Yang ◽  
Ramesh Dwarampudi ◽  
Kiyoshi Omori ◽  
Tieliang Li ◽  
...  
Keyword(s):  
Brain Injury ◽  
Model Development ◽  
Human Head ◽  
Head Model ◽  
Recent Advances ◽  
Human Head Model ◽  
Injury Research ◽  
Development And Validation

scholarly journals A Biomechanical Evaluation of a Novel Airbag Bicycle Helmet Concept for Traumatic Brain Injury Mitigation

2021 ◽  
Vol 8 (11) ◽  
pp. 173
Author(s):  
Kwong Ming Tse ◽  
Daniel Holder
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Injury Risk ◽  
Synergetic Effect ◽  
Human Head ◽  
Head Model ◽  
Bicycle Helmet ◽  
Impact Simulations ◽  
The Impact ◽  
Helmet Design

In this study, a novel expandable bicycle helmet, which integrates an airbag system into the conventional helmet design, was proposed to explore the potential synergetic effect of an expandable airbag and a standard commuter-type EPS helmet. The traumatic brain injury mitigation performance of the proposed expandable helmet was evaluated against that of a typical traditional bicycle helmet. A series of dynamic impact simulations on both a helmeted headform and a representative human head with different configurations were carried out in accordance with the widely recognised international bicycle helmet test standards. The impact simulations were initially performed on a ballast headform for validation and benchmarking purposes, while the subsequent ones on a biofidelic human head model were used for assessing any potential intracranial injury. It was found that the proposed expandable helmet performed admirably better when compared to a conventional helmet design—showing improvements in impact energy attenuation, as well as kinematic and biometric injury risk reduction. More importantly, this expandable helmet concept, integrating the airbag system in the conventional design, offers adequate protection to the cyclist in the unlikely case of airbag deployment failure.

Computational Modeling of Blunt Impact to Head and Correlation of Biomechanical Measures With Medical Images

2018 ◽  
Author(s):  
X. Gary Tan ◽  
Maria M. D’Souza ◽  
Subhash Khushu ◽  
Raj K. Gupta ◽  
Virginia G. DeGiorgi ◽  
...  
Keyword(s):  
Brain Injury ◽  
High Resolution ◽  
Computational Modeling ◽  
Diffusion Tensor ◽  
Medical Images ◽  
Human Head ◽  
Biological Tissues ◽  
Brain Morphology ◽  
Head Model ◽  
Human Head Model

Mild traumatic brain injury (TBI) is a very common injury to service members in recent conflicts. Computational models can offer insights in understanding the underlying mechanism of brain injury, which can aid in the development of effective personal protective equipment. This paper attempts to correlate simulation results with clinical data from advanced techniques such as magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), MR spectroscopy and susceptibility weighted imaging (SWI), to identify TBI related subtle alterations in brain morphology, function and metabolism. High-resolution image data were obtained from the MRI scan of a young adult male, from a concussive head injury caused by a road traffic accident. The falling accident of human was modeled by combing high-resolution human head model with an articulated human body model. This mixed, multi-fidelity computational modeling approach can efficiently investigate such accident-related TBI. A high-fidelity computational head model was used to accurately reproduce the complex structures of the head. For most soft materials, the hyper-viscoelastic model was used to captures the strain rate dependence and finite strain nonlinearity. Stiffer materials, such as bony structure were simulated using an elasto-plastic material model to capture the permanent deformation. We used the enhanced linear tetrahedral elements to remove the parasitic locking problem in modeling such incompressible biological tissues. The bio-fidelity of human head model was validated from human cadaver tests. The accidental fall was reconstructed using such multi-fidelity models. The localized large deformation in the head was simulated and compared with the MRI images. The shear stress and shear strain were used to correlate with the post-accident medical images with respect to the injury location and severity in the brain. The correspondence between model results and MRI findings further validates the human head models and enhances our understanding of the mechanism, extent and impact of TBI.

Intracranial pressure–based validation and analysis of traumatic brain injury using a new three-dimensional finite element human head model

2019 ◽  
Vol 234 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Tanu Khanuja ◽  
Harikrishnan Narayanan Unni
Keyword(s):  
Finite Element ◽  
Brain Injury ◽  
Intracranial Pressure ◽  
Brain Injuries ◽  
Three Dimensional ◽  
Human Head ◽  
Von Mises Stress ◽  
Head Model ◽  
Injury Mechanisms ◽  
Von Mises

Traumatic brain injuries are life-threatening injuries that can lead to long-term incapacitation and death. Over the years, numerous finite element human head models have been developed to understand the injury mechanisms of traumatic brain injuries. Many of these models are erroneous and used ellipsoidal or spherical geometries to represent brain. This work is focused on the development of high-quality, comprehensive three-dimensional finite element human head model with accurate representation of cerebral sulci and gyri structures in order to study traumatic brain injury mechanisms. Present geometry, predicated on magnetic resonance imaging data consist of three rudimentary components, that is, skull, cerebrospinal fluid with the ventricular system, and the soft tissues comprising the cerebrum, cerebellum, and brain stem. The brain is modeled as a hyperviscoelastic material. Meshed model with 10 nodes modified tetrahedral type element (C3D10M) is validated against two cadaver-based impact experiments by comparing the intracranial pressures at different locations of the head. Our results indicate a better agreement with cadaver results, specifically for the case of frontal and parietal intracranial pressure values. Existing literature focuses mostly on intracranial pressure validation, while the effects of von Mises stress on brain injury are not analyzed in detail. In this work, a detailed interpretation of neurological damage resulting from impact injury is performed by analyzing von Mises stress and intracranial pressure distribution across numerous segments of the brain. A reasonably good correlation with experimental data signifies the robustness of the model for predicting injury mechanisms based on clinical predictions of injury tolerance criteria.

Mechanical Response of the Brain Under Blast: The Effect of Blast Direction and the Head Protection

2016 ◽  
Author(s):  
Hesam Sarvghad-Moghaddam ◽  
Asghar Rezaei ◽  
Ashkan Eslaminejad ◽  
Mariusz Ziejewski ◽  
Ghodrat Karami
Keyword(s):  
Brain Injury ◽  
Mechanical Response ◽  
Experimental Studies ◽  
Human Head ◽  
Blast Waves ◽  
Arbitrary Lagrangian Eulerian ◽  
Explosion Pressure ◽  
Head Protection ◽  
Coupling Algorithm ◽  
The Brain

Blast-induced traumatic brain injury (bTBI), is defined as a type of acquired brain injury that occurs upon the interaction of the human head with blast-generated high-pressure shockwaves. Lack of experimental studies due to moral issues, have motivated the researchers to employ computational methods to study the bTBI mechanisms. Accordingly, a nonlinear finite element (FE) analysis was employed to study the interaction of both unprotected and protected head models with explosion pressure waves. The head was exposed to the incoming shockwaves from front, back, and side directions. The main goal was to examine the effects of head protection tools and the direction of blast waves on the tissue and kinematical responses of the brain. Generation, propagation, and interactions of blast waves with the head were modeled using an arbitrary Lagrangian-Eulerian (ALE) method and a fluid-structure interaction (FSI) coupling algorithm. The FE simulations were performed using Ls-Dyna, a transient, nonlinear FE code. Side blast predicted the highest mechanical responses for the brain. Moreover, the protection assemblies showed to significantly alter the blast flow mechanics. Use of faceshield was also observed to be highly effective in the front blast due to hindering of shockwaves.

Simulation of Blast Induced Traumatic Brain Injury using Finite Element Method

2021 ◽  
Vol 13 (2) ◽  
Author(s):  
G. Krishnaveni ◽  
D. Dominic Xavier ◽  
R. Sarathkumar ◽  
G. Kavitha ◽  
M. Senbagan
Keyword(s):  
Traumatic Brain Injury ◽  
Finite Element ◽  
Brain Injury ◽  
Blast Wave ◽  
Ambient Pressure ◽  
Memory Loss ◽  
Human Head ◽  
Head Model ◽  
Stress Concentrations ◽  
The Brain

Because of increase in threat from militant groups and during war exposure to blast wave from improvised explosive devices, Traumatic Brain Injury (TBI), a signature injury is on rise worldwide. During blast, the biological system is exposed to a sudden blast over pressure which is several times higher than the ambient pressure causing the damage in the brain. The severity of TBI due to air blast may vary from brief change in mental status or consciousness (termed as mild) to extended period of unconsciousness or memory loss after injuries (termed as severe). The blast wave induced impact on head propagates as shock wave with the broad spectrum of frequencies and stress concentrations in the brain. The primary blast TBI is directly induced by pressure differentials across the skull/fluid/soft tissue interfaces and is further reinforced by the reflected stress waves within the cranial cavity, leading to stress concentrations in certain regions of the brain. In this paper, an attempt has been made to study the behaviour of a human brain model subjected to blast wave based on finite element model using LSDYNA code. The parts of a typical human head such as skull, scalp, CSF, brain are modelled using finite element with properties assumed based on available literature. The model is subjected to blast from frontal lobe, occipital lobe, temporal lobe of the brain. The interaction of the blast wave with the head and subsequent transformation of various forms of shock energy internally have been demonstrated in the human head model. The brain internal pressure levels and the shear stress distribution in the various lobes of the brain such as frontal, parietal, temporal and occipital are determined and presented.

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.

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