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Random vibration and statistical linearization

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TLDR
In this paper, a comprehensive account of statistical linearization with related techniques allowing the solution of a very wide variety of practical non-linear random vibration problems is given, and the principal value of these methods is that they are readily generalized to deal with complex mechanical and structural systems and complex types of excitation such as earthquakes.
Abstract
Interest in the study of random vibration problems using the concepts of stochastic process theory has grown rapidly due to the need to design structures and machinery which can operate reliably when subjected to random loads, for example winds and earthquakes. This is the first comprehensive account of statistical linearization - powerful and versatile methods with related techniques allowing the solution of a very wide variety of practical non-linear random vibration problems. The principal value of these methods is that unlike other analytical methods, they are readily generalized to deal with complex mechanical and structural systems and complex types of excitation such as earthquakes.

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Proceedings ArticleDOI

Disturbance rejection in control systems with saturating actuators

TL;DR: In this paper, the disturbance rejection problem in control systems with saturating actuators was addressed by using the method of stochastic linearization. But the disturbance is assumed to be white noise and the performance measure considered is the output variance.
Journal ArticleDOI

Wavelet-Galerkin approach for power spectrum determination of nonlinear oscillators

TL;DR: In this article, a wavelet-Galerkin method based solution for nonlinear differential equation of motion is presented, where wavelet coefficients of response are solved from a set of nonlinear algebra equations obtained via the wavelet Galerkin approach.
Journal ArticleDOI

Spectral Approach to Equivalent Statistical Quadratization and Cubicization Methods for Nonlinear Oscillators

TL;DR: In this article, a technique based on statistical quadratization and cubicization is proposed to determine the stationary response of a nonlinear system with a polynomial nonlinearity of either quadratic or cubic order, which can be solved by the Volterra series method.
Journal ArticleDOI

Stochastic averaging of quasi-non-integrable Hamiltonian systems under fractional Gaussian noise excitation

TL;DR: A stochastic averaging method for quasi-non-integrable Hamiltonian systems under excitation of fractional Gaussian noise (fGn) with Hurst index $$1/2

Harmonic wavelet-based statistical linearization of the Bouc-Wen hysteretic model

TL;DR: In this paper, a harmonic wavelet-based statistical linearization method is developed for determining the Evolutionary Power Spectrum (EPS) of the response of a single-degree-of-freedom Bouc-Wen hysteretic oscillator subject to random excitation.