Analysis of the Articulated Total Body (ATB) and Mathematical Dynamics Model (MADYMO) Software Suites for Modeling Anthropomorphic Test Devices (ATDs) in Blast Environments

Abstract

The U.S. Army Research Laboratory s Survivability/Lethality Analysis Directorate (ARL/SLAD) is developing a modeling proficiency for ground vehicle systems exposed to under-body blast (UBB) threats with predictive crew casualty analysis capabilities to support live-fire test and evaluation (LFT&E). This report details a comprehensive comparison of two software suites used for modeling anthropomorphic test devices (ATDs) in blast environments conducted to down-select to one for future modeling efforts. After extensive use of both software suites to model laboratory and live-fire experiments with ATDs, it is clear that the mathematical dynamics model (MADYMO) software suite offers many advantages over articulated total body (ATB). These advantages include reduced model setup time and pre-processing, increased amount of model features, increased level of temporal and special resolution, a larger user community, and thorough commercial software support. From these results, the logical path forward for the under-body blast methodology (UBM) program is to use the MADYMO software suite for modeling ATD response to blast loading.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2013
Accession Number
ADA585572

Entities

People

  • Neeraj Shukla

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force Research Laboratories
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computer-Aided Design
  • Computers
  • Experimental Data
  • Graphical User Interface
  • Ground Vehicles
  • Measurement
  • Military Research
  • Operating Systems
  • Seat Belts
  • Test And Evaluation
  • Vehicles
  • Xml

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  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Sensor Fusion and Tracking Systems.