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TEAM BLAST Ani ,  Beaudoin TEAM BLAST Ani ,  Beaudoin

TEAM BLAST Ani , Beaudoin - PowerPoint Presentation

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TEAM BLAST Ani , Beaudoin - PPT Presentation

Green Henricks Jones Kennedy Mawhinney Peluso Reilly Schwartz Shapiro Yanushevsky Blast Localization and Sensing Technology Image Courtesy of Stanislav Klabik MOTIVATION ID: 639413

blast pressure brain data pressure blast data brain strain physical model 2010 tissue external internal correlate balachandran head phase

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Slide1

TEAM BLAST

Ani

, Beaudoin, Green, Henricks, Jones, Kennedy, Mawhinney, Peluso, Reilly, Schwartz, Shapiro, Yanushevsky

Blast Localization and Sensing Technology

Image Courtesy of:

Stanislav

KlabikSlide2

MOTIVATION10-20% of soldiers in Iraq and Afghanistan have sustained TBI, primarily from IED detonations. (Ortega 2011)

New Kevlar armor and helmets cannot protect against closed head injuries produced by blasts. (Okie 2005)

59% of people who endure a blast suffer from TBI. (Okie 2005) Slide3

Mechanism of Blast-Related TBIBlast waves are high-energy pressure waves. (

Scheve)Blast waves can transfer energy to the head, causing

strain and acceleration of brain tissue. (Scheve)

Image: Needham 2010 Slide4

LITERATURE REVIEWExisting ModelsModels have been produced that correlate blast magnitude and direction with internal brain stresses.

(Chafi 2010) (Balachandran 2010)

Brain tissue is viscoelastic, which behaves differently than typical elastic materials. (Balachandran 2010)

Existing Hardware

Current helmets used by the U.S. army implement pressure sensors to record impact

direction

,

magnitude

,

duration

, and

local pressure

.

(BAE Systems)

Blast location can be determined via

localization algorithms

.

(

Ash 2010)Slide5

Literature Review: HeadformScalpSkin: two-piece polydimethysiloxane

(PDMS)SkullBone

: polyurethane (one piece cast)BrainNeural and glial cells: waterWhite and Grey MatterSilicone gelTo give viscoelastic propertiesCerebrospinal FluidWater

Is 99% water in realityGives  wanted dampening property

Image and information :

Hossain

2010Slide6

PROBLEMCurrent research does not correlate the external effects of a blast on the skull to

internal effects on the brain.We would like to link local

pressure measured by helmet-mounted pressure sensors to strain, pressure, and acceleration in the brain.Slide7

RESEARCH QUESTIONWhat is the relationship between the pressure measurements over the surface of the skull and the

pressure, strain rate and acceleration of brain tissue in a blast wave injury? What is the relationship between direction of the blast

and the pressure measurements over the surface of the skull?Slide8

HYPOTHESISDifferent dynamic pressure distributions measured over the surface of the skull can be correlated with specific strain rates, pressures, and accelerations in brain tissue during a blast event.Slide9

METHODOLOGYPhysical ExperimentComputer Model

Create blast wave with a pressure chamberCreate a headform that reflects physical properties of a human headRecord dynamic pressures at the surface of the head

Simulate point blast loading on a human head with a finite element modelOutput pressures, strain rates, and accelerations in brain tissue

Data Analysis

Correlate external dynamic pressure with internal variablesSlide10

Phase I: Preliminary ResearchPhysical ExperimentComputer Model

Preliminary data acquisition with microphones Determine the signal resolution required to measure blastEstablish maximum external pressure produced by pressure chamber

Learn how to use ANSYS modeling softwareAnalyze effects of model properties on simulationSkinSkull DensitySlide11

Phase I: Blast Localization & Model VerificationPhysical Experiment

Computer ModelConstruction of headform

Build data acquisition circuitsIntegrate sensors and helmet for experimentsLocalize blast using sensor readingsWith helmetWith helmet and headformRun ANSYS simulations corresponding to the physical experimentsCorrelate the exterior pressures from the physical and computer modelsRectify the discrepancies between dataSlide12

Phase II: Data CollectionPhysical ExperimentComputer Model

Distances: 1.0m and 1.5mOrientations: 90°180°270°

Run simulations corresponding to each physical experimentConvert output to the proper format for correlationSlide13

Phase iii: Data AnalysisCorrelate physical and computer modelsPressure from physical modelP

ressures, strain rates and accelerations from computer modelDetermine which external locations best predict the internal factors

Moore et. al 2009Slide14

Physical ExperimentHeadformData Acquisition

Scalp

Insignificant effects on pressure distributionSkullRapid prototyped polyurethaneDensity: 1.17-1.18 g/cm3Brain & CSFSiligard ® 527 A&B Silicone gelSupportTripod mounted head and helmet

SensorsCondenser MicrophonesPiezoelectricData acquisition

NI

9223 DAQ

Signal conditioning

4-Channel

1 MS/s

sample rate

Data recording

LABVIEW softwareSlide15

AnSYS ModelingFinite Element Model2D mesh and structural properties provided by Dr.

Balachandran (UMD)3D mesh provided by David Moore (MIT)

Load the model with a point blast Output pressure, strain rate, and acceleration in brain tissue

Moore et. al 2009B. Balachandran and M. F.

Valdez 2010Slide16

Data ANALYSIS Space-time Correlation2 functions, f (t1) and g(t2), are correlated over a range of time differences

Δt with the highest value of R indicates the closest relationship, establishes time delay

 Slide17

Data ANALYSISPreliminary AnalysisPrimary Analysis

Verify model: correlate pressure readings from simulation to the physical experiment

Localize blast origin: correlate sensor readings to each other

 

Establish correlation between external and internal variables

External: pressure from readings of sensors

Internal: acceleration, strain rate, and pressure from simulation

 Slide18

IMPLICATIONSBetter understanding of blast related injuries

More effective treatment of TBI victimsFurther research

Helmet designHelmet monitoring systemsMore extensive modelsSlide19

Timeline

Begin Preliminary Research

Collect Necessary MaterialsPrepare for ExperimentationPhase 1 - Blast Localization and Model VerificationPhase 2 - Data CollectionBegin Phase 3 - Data Analysis

Finish experimentationDraft Literature Review and Thesis

Write Final Literature Review and Thesis Draft

Finish Thesis

Present at Thesis Conference

Spring 2012

Fall 2012

Spring 2013

Fall 2013

Spring 2014Slide20

A special thanks to:

Dr. Miao Yu, our awesome mentor

Dr. Balakumar Balachandran, our expertNedelina Tchangalova, our librarian

Dr. WallaceDr. ThomasHeather CreekGemstone StaffAny questions or comments?