The Evaluation of Design and Employment Alternative for the LVA: A Modelling Strategy

Abstract

This thesis presents a modelling strategy for the evaluation of complex combat systems during their conceptual design phase. It proposes the use of a relatively simple auxiliary model in conjunction with a high-resolution combat simulation. The simple model is used to enhance the analyst's ability in investigating the full range of possible effects of decisions regarding various design and employment alternatives, while the complex model is implemented to validate certain tentative hypotheses formed from the auxiliary model results. This general methodology is illustrated by considering a specific system of current interest to the U.S. Marine Corps, the LVA (Landing Vehicle Assault). A simplified auxiliary model is developed which is initially applied to an evaluation of several tactical employment alternatives. The distance offshore at which the craft initiates transition and the interarrival time between incoming waves are examined in detail. The model is additionally implemented to derive the interrelationships of the LVA design parameters with the vulnerability of that system to the attrition effects of two representative defensive direct-fire weapon systems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA061345

Entities

People

  • David L. Chadwick

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Amphibious Operations
  • Amphibious Vehicles
  • Anti-Tank Missiles
  • Attrition
  • Case Studies
  • Combat Effectiveness
  • Combat Simulations
  • Design Criteria
  • Engineering
  • Fire Support
  • High Resolution
  • Hit Probabilities
  • Marine Corps
  • Operations Research
  • Scale Models
  • Simulations
  • Weapon Systems

Readers

  • Computational Fluid Dynamics (CFD)
  • Military Science
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.