Random vibration of a nonlinearly deformed beam by a new stochastic linearization technique

Author Type

Faculty

Co-Author Type 1

Faculty

Co-Author Type 2

Faculty

Co-Author Type 3

Outside Researcher

College

Engineering and Computer Science

Department

Ocean and Mechanical Engineering

Document Type

Conference Proceeding

Publication/Event/Conference Title

American Society of Mechanical Engineers Design Engineering Division Publication DE

Publication Status

Version of Record

Abstract

A new stochastic linearization technique is employed to investigate the large amplitude random vibrations of a simply-supported or a clamped beam on elastic foundation under a stochastic loading which is either (a) space-wise and time-wise white-noise or (b) space-wise uniformly distributed load and time-wise white noise. The new version of the stochastic linearization method is based on the requirement that mean square deviation of the strain energy of the nonlinearly deformed beam, and the strain energy of the equivalent beam in a linear state, should be minimal. As a result, the modal mean square displacements are expressed as solutions of a set of nonlinear algebraic equations. Results obtained by conventional equivalent linearization method and by the new technique are compared with the numerical results obtained from integration of the exact probability density function (when exact solution is available) or with the result of the Monte Carlo simulations (when the exact solution is unavailable). It is shown that the new stochastic linearization technique yields much more accurate estimate of the mean square displacement than the classical linearization method, which has attracted in the past interest of about 400 investigators in variety of nonlinear random vibration problems.

First Page

89

Last Page

97

Publication Date

12-1-1994

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