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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

Traditional and emerging techniques for practical random vibration analyses

P.D. Spanos
- 01 Jan 2014 - 
TL;DR: In this paper, the authors focus on available tools for conducting random vibration analyses for practical engineering problems, focusing on traditional techniques such as statistical linearization, and Monte Carlo simulation, and emerging techniques, such as wavelets, as a tool for signal and response localization; and fractional calculus, for capturing non-local behavior.

The joint response-excitation pdf evolution equation. numerical solutions for the long-time, stead-state response of a half oscillator

TL;DR: In this paper, the response-excitation Probability density function (REPDF) is derived by finite dimensional projection of a Functional Differential Equation for the joint, responseexcitation characteristic functional.
Journal ArticleDOI

Cyclostationary gaussian and non-gaussian linearization on analyzing double-well nonlinear oscillators

TL;DR: In this article, the first order and second order bistable Duffing oscillators are selected as typical models for analyzing the stochastic characteristics of double-well nonlinear oscillators excited by sinusoidal force and Gaussian white noise.
Journal ArticleDOI

Closure Schemes for Nonlinear Bistable Systems Subjected to Correlated Noise: Applications to Energy Harvesting from Water Waves

TL;DR: Lee et al. as discussed by the authors proposed a nonlinear energy harvesting from broad-band Vibrational sources by mimicking Turbulent Energy Transfer Mechanisms (TETM) by using an EITM.