Theoretical and Experimental Studies in Nonlinear Mechanical Systems Under Harmonic and Stochastic Excitation.

Abstract

The stability and bifurcation behavior of mechanical systems parametrically excited by small periodic or stochastic perturbations is studied. The almost-sure stability is defined by the sign of the maximal Lyapunov exponent, the exponential growth rate of solutions to a linear stochastic system. A perturbative approach is employed to construct an asymptotic expansion for the maximal Lyapunov exponent of a four-dimensional gyroscopic dynamical system driven by a small intensity real noise. The perturbative technique developed is then applied to study the lateral vibration instability in rotating shafts subject to stochastic axial loads and stationary shafts in cross flow with randomly varying flow velocity. The local and global bifurcation behavior of nonlinear deterministic gyroscopic and conservative systems subject to periodic parametric excitation is also examined. Throughout this work, it is assumed that the dissipation, imperfections and amplitudes of parametric excitations are small. In this way, it is possible to treat these problems as weakly Hamiltonian systems. Most of the analysis presented here is based on the recent work of perturbed Hamiltonian systems. (P.T.O.)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1996
Accession Number
ADA310001

Entities

People

  • Monica M. Doyle
  • N. Sri Namachchivaya

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Asymptotic Series
  • Axial Loads
  • Computational Science
  • Differential Equations
  • Dynamic Response
  • Fokker Planck Equations
  • Formulas (Mathematics)
  • Four Dimensional
  • Geometry
  • Linear Systems
  • Mathematical Models
  • Measurement
  • Mechanics
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Partial Differential Equations
  • Resonant Frequency

Readers

  • Control Systems Engineering.
  • Mathematical Modeling and Probability Theory.
  • Wave Propagation and Nonlinear Chaotic Dynamics.