An Examination of Statistical Impact Acceleration Injury Prediction Models Based on -Gx Accelerator Data from Subhuman Primates

Abstract

This report considers the application of an impact acceleration injury prediction model to observed data from a set of twenty-eight -G sub x accelerator runs involving subhuman primates (Rhesus monkeys) with securely restrained torso and unrestrained head. The data was collected by the Naval Aerospace Medical Research Laboratory (NAMRL) Detachment as part of its research effort on acceleration impact injury prevention. Using a common data base, two different models were constructed, one based on sled profile variables and the other based on head dynamic response variables. Although the latter model provided a reasonable fit given the small size of the data set, the other model (based on sled profile variables) resulted in a much better fit. Possible explanations for this seemingly anomalous result are listed and additional accelerator runs are suggested.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1978
Accession Number
ADA057276

Entities

People

  • Dennis E. Smith

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Angular Acceleration
  • Biomedical Research
  • Computer Programs
  • Computers
  • Construction
  • Data Sets
  • Databases
  • Dynamic Response
  • Fatalities
  • Impact Acceleration
  • Injury Prevention
  • Military Research
  • Monkeys
  • Operations Research
  • Probability
  • Rhesus Monkeys
  • Statistics

Readers

  • Business Analytics
  • Explosive Engineering.
  • Systems Analysis and Design

Technology Areas

  • Space