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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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Journal ArticleDOI

Generalized Linear Random Vibration Analysis Using Autocovariance Orthogonal Decomposition

TL;DR: In this paper, two algorithms, Karhunen-Loeve expansion method and collocation technique for non-stationary and non-Gaussian forcing processes (narrow- or broadband, but not white noise) for linear dynamic systems are developed.
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Sequential parametric identification and response of hysteretic oscillators with random excitation

TL;DR: In this article, a two-stage linear estimation method or a one-stage method based on a sequential non-linear filter is proposed for estimating the parameters in a differential model of a curvilinear class of hysteretic forces.
Journal ArticleDOI

Coupled dynamics of deepwater structures – issues and challenges

TL;DR: A brief overview of coupled analysis techniques employing both time-domain and frequency-domain approaches, focusing on the basic modelling issues and challenges, is provided in this article, where the authors propose a compact but sufficiently accurate dynamic models of line structures.
Journal ArticleDOI

Stochastic optimal control of flexible aircraft taxiing at constant or variable velocity

TL;DR: A nonlinear stochastic dynamics model is established in this article, considering the aircraft body pitch movement and elastic vibration excited by the random runway, and the equivalent linearization method is adopted to ensure the model linearity near the balance point.
Proceedings ArticleDOI

Entropy-Based Space Object Data Association Using an Adaptive Gaussian Sum Filter

TL;DR: An approach to improve the statistical validity of orbital estimates and uncertainties as well as a method of associating measurements with the correct resident space objects and classifying events in near realtime is shown.