Ground Vehicle Safety Optimization Considering Blastworthiness and the Risks of High Weight and Fuel Consumption

Abstract

Occupant safety is a top priority of military vehicle designers. Recent trends have shifted safety emphasis from the threats of ballistics and missiles toward those of underbody explosives. For example, the MRAP vehicle is increasingly replacing the HMMWV, but it is much heavier and consumes twice as much fuel as its predecessor. Recent reports have shown that fuel consumption directly impacts personnel safety; a significant percentage of fuel convoys that supply current field operations experience casualties en route. While heavier vehicles tend to fare better for safety in blast situations, they contribute to casualties elsewhere by requiring more fuel convoys. This study develops an optimization framework that uses physics-based simulations of vehicle blast events and empirical fuel consumption data to calculate and minimize combined total expected injuries from blast events and fuel convoys. Results are presented by means of two parametric studies, and the utility of the framework is discussed in a dynamic context and for evaluating casualty-reduction strategies.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2011
Accession Number
ADA547440

Entities

People

  • Michael Kokkolaras
  • Panos Papalambros
  • Steven Hoffenson
  • Sudhakar Arepally

Organizations

  • United States Army Tank Automotive Research, Development and Engineering Center

Tags

Communities of Interest

  • Counter IED
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Casualties
  • Engineering
  • Environment
  • Explosive Devices
  • Explosives
  • Fuel Consumption
  • Ground Vehicles
  • Improvised Explosive Devices
  • Materials
  • Military Operations
  • Military Vehicles
  • Nanocomposites
  • National Security
  • Nato
  • Simulations
  • Standards
  • Vehicles

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Modeling and Simulation
  • Energy Conservation and Renewable Energy Engineering.