Mobility Research for Future Vehicles: A Methodology to Create a Unified Trade-Off Environment for Advanced Aerospace Vehicle

Abstract

The development and implementation of advanced aerospace vehicles is an endeavor that can potentially affect long term aviation operations and future system capabilities for several decades. Selecting the best vehicle configuration(s) requires a thorough understanding of the capabilities and life-cycle considerations required by the end user, the vehicles full spectrum operations, as well as technologies impacting both operational needs and system performance. The fundamental goal of the proposed effort involves using the Aerospace Systems Design Laboratory (ASDL) established expertise in the fields of decision support and advanced vehicle modeling and simulation (M and S) to develop an innovative trade-off environment for advanced vehicle concepts exploration.

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Document Details

Document Type
Technical Report
Publication Date
Nov 15, 2016
Accession Number
AD1049678

Entities

People

  • Ada Odey
  • Andrew N. Smith
  • Bruce Ahn
  • Daniel Bavaro
  • Dimitri Mavris
  • Etienne D. Bouchard
  • Kyle Collins
  • Ryan Armstrong

Organizations

  • Aerospace Systems Design Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Algorithms
  • Artificial Intelligence
  • Artificial Neural Networks
  • Ceramic Matrix Composites
  • Composite Materials
  • Computational Science
  • Delphi Method
  • Department Of Defense
  • Environment
  • Failure Mode And Effect Analysis
  • Genetic Algorithms
  • Heuristic Methods
  • Industrial Engineering
  • Literature Surveys
  • Machine Learning
  • Maintenance
  • Management Personnel
  • Natural Language Processing
  • Neural Networks
  • Reliability
  • Systems Engineering

Readers

  • Joint Military Operations and Doctrine.
  • Military Science and Technology Research and Modernization.
  • Software Engineering

Technology Areas

  • Space