Air Vehicle Integration and Technology Research (AVIATR). Delivery Order 0013: Nonlinear, Low-Order/Reduced-Order Modeling Applications and Demonstration

Abstract

Dynamic response analysis tools used by the aerospace industry rely heavily on linear modal frequency response finite element methods. These linear methods are straight forward to use even in the analysis of a complex structural component that require a large number of degrees-of-freedom to model. However, this approach is not suitable for predicting the response of highly loaded thermal/acoustic aircraft structures that may respond in a nonlinear geometric manner. This type of problem requires a nonlinear transient analysis. The nonlinear analysis of a complex structural component is computationally prohibitive, especially for random acoustic response prediction which requires long duration time simulations. To overcome these computational deficiencies, nonlinear reduced order modeling (NLROM) methods have been developed. The objective of this effort is to further refine the NLROM methodology and validate it in the design and lab testing of a representative aircraft structural component. The final product of this program is a validated method and the quantified benefits of using the NLROM methodology.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2011
Accession Number
ADA558713

Entities

People

  • Dale M. Pitt
  • Michael J. Thomas
  • Nicholas Gurtowski
  • Salvatore L. Liguore

Organizations

  • Boeing

Tags

Communities of Interest

  • Air Platforms
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aerospace Industry
  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Central Processing Units
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Computers
  • Finite Element Analysis
  • Information Science
  • Measurement
  • Resonant Frequency
  • Structural Components
  • Test And Evaluation
  • Test Facilities

Fields of Study

  • Physics

Readers

  • Aerospace Engineering
  • Computational Modeling and Simulation
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Space