Fundamental Advances in Inverse Mechanics Towards Self-Aware and Intrinsically Adaptable Structural Systems

Abstract

The objective of this project was to advance computational methods for solving inverse problems related to smart morphable structures that can evaluate their current environment and then adapt accordingly to optimize performance with minimal energy expense. An efficient and accurate computational framework was established for the optimal design of morphing structures comprised of active smart materials through locally controllable actuation and activation.

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Document Details

Document Type
Technical Report
Publication Date
Nov 30, 2014
Accession Number
AD1013215

Entities

People

  • John C. Brigham

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Boundary Value Problems
  • Computational Science
  • Equations
  • Evolutionary Algorithms
  • Finite Element Analysis
  • Genetic Algorithms
  • Heat Transfer
  • Inverse Problems
  • Mechanics
  • Modulus Of Elasticity
  • Multiobjective Optimization
  • Optimization
  • Physics
  • Supervised Machine Learning
  • Two Dimensional

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.
  • Systems Analysis and Design