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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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Adaptive split/merge-based Gaussian mixture model approach for uncertainty propagation

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Non-linear dynamics of a stochastically excited beam system with impact

TL;DR: It is shown that including more modes to the model causes its response to differ significantly from that of a single-degree-of-freedom model, which can be used to accurately predict the stochastic response characteristics of the original, continuous, non-linear system.

Identification and initial characterization of sources of uncertainty affecting the performance of future trajectory management automation systems

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Non-linear stochastic dynamics of systems with random properties: A spectral approach combined with statistical linearization

TL;DR: In this paper, the random properties of a random linear system are described by a Karhunen-Loeve-expansion, and for the response of a linear system with random properties subjected to a stochastic loading a spectral approach introducing Hermitian polynomials for the random response quantities is used according to a proposal of Ghanem and Spanos.