Novel Discretization Schemes for the Numerical Simulation of Membrane Dynamics

Abstract

Motivated by the demands of simulating flapping wings of Micro Air Vehicles, novel numerical methods were developed and evaluated for the dynamic simulation of membranes. For linear membranes, a mixed-form time-continuous Galerkin method was employed using trilinear space-time elements, and the entire space-time domain was discretized and solved simultaneously. For geometrically nonlinear membranes, the model incorporated two new schemes that were independently developed and evaluated. Time marching was performed using quintic Hermite polynomials uniquely determined by end-point jerk constraints. The single-step, implicit scheme was significantly more accurate than the most common Newmark schemes. For a simple harmonic oscillator, the scheme was found to be symplectic, frequency-preserving, and conditionally stable. Time step size was limited by accuracy requirements rather than stability. The spatial discretization scheme employed a staggered grid, grouping of nonlinear terms, and polygon shape functions in a strong-form point collocation formulation. Validation against existing experimental data showed the method to be accurate until hyperelastic effects dominate.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 13, 2012
Accession Number
ADA564655

Entities

People

  • Kyle F. Kolsti

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Computational Fluid Dynamics
  • Computational Science
  • Difference Equations
  • Differential Equations
  • Finite Element Analysis
  • Fluid Dynamics
  • Geometry
  • Linear Systems
  • Mechanics
  • Micro Air Vehicles
  • Modulus Of Elasticity
  • Partial Differential Equations
  • Physics Laboratories
  • Reliability
  • Structural Engineering

Readers

  • Control Systems Engineering.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Underwater engineering and Marine Technology.

Technology Areas

  • Space