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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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A computational procedure to estimate the stochastic dynamic response of large non-linear FE-models

TL;DR: An efficient procedure is suggested to determine the minimal number of Karhunen–Loeve vectors necessary to assure a sufficiently accurate representation and has no limitation w.r.t. the size of the model in terms of degrees of freedom (DOFs) or the number of non-linear elements.
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Stochastic optimal control of wind-excited tall buildings using semi-active MR-TLCDs

TL;DR: In this article, a semi-active control of tall building structures incorporating nonlinear MR-TLCDs under random wind excitation is studied by means of the statistical linearization method and the optimal linear quadratic (LQ) control strategy.
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Optimal performance-based design of non-linear stochastic dynamical RC structures subject to stationary wind excitation

TL;DR: In this paper, a statistical linearization technique with time-variant reliability analysis concepts is used to formulate a total expected life-cycle cost optimization problem for nonlinear/hysteretic stochastic dynamical systems.
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Analysis of multi-degree of freedom strongly non-linear mechanical systems with random input. Part I : Non-linear modes and stochastic averaging

TL;DR: In this paper, the displacement and velocity vector responses of multi-degree of freedom nonlinear systems are expanded as a series of nonlinear modes, in which the mean term, frequencies and mode shapes depend on the modal amplitudes.