Predicting Head Flail Response to Impact Acceleration Using Historical Human Volunteer Data and a Velocity-Based Linear Regression Approach

Abstract

Models used for predicting head flail response were developed using an existing collection of human research volunteer (HRV) test data from the Naval Biodynamics Laboratory collection within the Biodynamics Data Resource (BDR) of the US Army Aeromedical Research Laboratory. Verification and validation were completed for the response models for frontal, axial, and lateral impact directions. The response models were verified to accurately predict the HRV response used to develop the model. The response models were validated to accurately predict the anteroposterior (AP), lateral, and vertical displacements for BDR HRV tests with similar boundary conditions but different input parameters than those of the BDR HRV tests used to develop the response model. The response models were not shown to be valid for predicting subject responses to higher sled acceleration levels and velocity changes found in literature. The primary reason for this is the differences in initial and boundary conditions between the NBDL dataset and the datasets from literature.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2023
Accession Number
AD1197243

Entities

People

  • Alicia M. Abraczinskas
  • Allison M. Robinette
  • Ardyn V. Olszko
  • Frederick T. Brozoski
  • Kimberly B. Vasquez
  • Shannon M. Mcgovern
  • Valeta C. Chancey

Organizations

  • United States Army Aeromedical Research Lab

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Accidents
  • Aircraft Design
  • Aircrafts
  • Biomedical Research
  • Body Regions
  • Boundaries
  • Databases
  • Department Of Defense
  • Experimental Data
  • Governments
  • Impact Acceleration
  • Institutional Review Board
  • Sled Tests
  • Standards
  • Technical Information Centers
  • Transportation
  • United States
  • Validation
  • Verification
  • Verification Tests

Readers

  • Computational Modeling and Simulation
  • Educational Psychology
  • Explosive Engineering.