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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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Maximum roll angle estimation of a ship in confused sea waves via a quasi-deterministic approach

TL;DR: In this paper, the authors considered the problem of estimating the maximum roll motion of a ship in confused sea waves, where the ship motion was described by a nonlinear differential equation including quadratic damping and cubic restoring force.
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Statistical correlation of fractional oscillator response by complex spectral moments and state variable expansion

TL;DR: A new method to obtain the correlation function by exact complex spectral moments by using the Mellin transform is shown, which provides an analytical expression of the response variance of the fractional oscillator.
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Hydrofoil vibration induced by a random flow: a stochastic perturbation approach

TL;DR: In this article, an elastic lifting hydrofoil in a randomly perturbed flow is considered, where the phenomenon of hydroelastic-induced vibrations is controlled by a stochastic differential operator.
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A Volterra Series Approach to the Approximation of Stochastic Nonlinear Dynamics

TL;DR: In this article, a response approximation method for stochastically excited, nonlinear, dynamic systems is presented, where the output of the nonlinear system is approximated by a finite-order Volterra series.
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Response of a vibro-impact Duffing system with a randomly varying damping term

TL;DR: In this paper, a solution procedure for the probability density function (PDF) solution of a vibro-impact Duffing system with a randomly varying damping term was proposed, which considers the one-sided barrier located at the equilibrium of the system.