Development of a Framework for Model-Based Analysis, Uncertainty Quantification, and Robust Control Design of Nonlinear Smart Composite Systems

Abstract

This program focused on the development of a synergistic framework for model-based analysis ---model calibration, sensitivity analysis (SA), uncertainty quantification (UQ), validation and verification (V&V), and robust control design --- for a range of nonlinear and hysteretic smart composite systems. A major component of the program focused on the development of this framework in the context of hysteretic macro-fiber composite (MFC) and shape memory alloy (SMA) models. The goal was to develop a theoretical and numerical framework and initial infrastructure to facilitate modeling, design and control for aerospace, aeronautic, industrial, automotive and biomedical systems utilizing smart materials.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 04, 2015
Accession Number
ADA623113

Entities

People

  • Ralph C. Smith

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Alloys
  • Bayesian Networks
  • Calibration
  • Composite Materials
  • Computational Science
  • Differential Equations
  • Electronic Mail
  • Equations
  • Ferroelectric Materials
  • Intelligent Systems
  • Materials
  • Monte Carlo Method
  • Partial Differential Equations
  • Shape Memory Alloys

Readers

  • Computational Modeling and Simulation
  • Defense Technology Research and Development.
  • Materials Science and Engineering.

Technology Areas

  • Biotechnology
  • Space