Aeromechanics and Aeroelasticity of Future Air Vehicle Platforms

Abstract

Establish improved experimentally validated modeling tools and methodologies that can be used to understand the physics of aeroelastic stability and design in next generation rotorcraft platform configurations for FVL platforms. This involves the development of an experimental capability, (TRAST), which will be used to generate novel experimental data. This data will be used to increase fundamental understanding of the whirl flutter instability, which currently limits the high speed performance of tiltrotor rotorcraft. This effort will inform FVL requirement definition and technology maturation. This effort also establishes low noise rotor concepts and investigates the intersection of artificial intelligence and classical mechanics to enable novel mechanics and new approaches in structural dynamics for FVL applications to enable higher Operating Tempo (OPTEMPO) operations.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2021
Source ID
a3e71b2d5937daee554f051df0359efa

Tags

Fields of Study

  • Engineering
  • Physics

Readers

  • Aerospace Engineering
  • Computational Fluid Dynamics (CFD)
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy

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