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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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Parameter Analysis of the Differential Model of Hysteresis

TL;DR: The extended Bouc-Wen differential model is one of the most widely accepted phenomenological models of hysteresis in mechanics and it is routinely used in the characterization of nonlinear damping and in system identification.
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Dynamically orthogonal field equations for continuous stochastic dynamical systems

TL;DR: In this article, a decomposition of the solution field into a mean and stochastic dynamical component is derived from the original SPDE, using nothing more than a dynamically orthogonal condition on the representation of a solution.
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Parametric time-domain methods for non-stationary random vibration modelling and analysis — A critical survey and comparison

TL;DR: A critical survey and comparison ofparametric time-domain methods for non-stationary random vibration modelling and analysis based upon a single vibration signal realization confirms the advantages and high performance characteristics of parametric methods.
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Design Optimization of Quarter-car Models with Passive and Semi-active Suspensions under Random Road Excitation:

TL;DR: In this article, a methodology is presented for optimizing the suspension damping and stiffness parameters of nonlinear quarter-car models subjected to random road excitation, and a critical comparison is performed between the results obtained for vehicles with passive linear or bilinear suspension dampers and those obtained for cars with semi-active shock absorbers.
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The geometry of random vibrations and solutions by FORM and SORM

TL;DR: In this article, the geometry of random vibration problems in the space of standard normal random variables obtained from discretization of the input process is investigated and an approximate method for their solution is presented.