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Journal ArticleDOI

Response of linear systems to quadratic gaussian excitations

Mircea Grigoriu
- 01 Jun 1986 - 
- Vol. 112, Iss: 6, pp 523-535
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TLDR
The proposed methodology is applied to estimate structural response to wind loads and the mean failure rate of systems subjected to bivariate Gaussian stress processes.
Abstract
Probability density functions, mean crossing rates, and other descriptors are developed for the response of linear systems to squares of Gaussian excitations. The analysis is based on discrete approximations of the spectrum of the Gaussian excitation. Accordingly, the response can be expressed as a finite quadratic form in Gaussian variables, whose characteristic function has a closed form. The characteristic function can be inverted by Fast Fourier Transform algorithms to find the first order probability of the response. Several approximations are applied to determine crossing and peak characteristics of the response. The proposed methodology is applied to estimate structural response to wind loads and the mean failure rate of systems subjected to bivariate Gaussian stress processes.

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Citations
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On the cumulant-neglect closure method in stochastic dynamics

TL;DR: In this paper, an algorithm was developed and presented for the efficient and automated generation of the moment equations for dynamical systems with an arbitrary number of states and closed at an arbitrary level (limited only by available computational resources).
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Emerging issues and new frameworks for wind loading on structures in mixed climates

TL;DR: In this paper, a general discussion on some emerging issues and new frameworks for wind loading on structures in mixed climates is provided, including the use of the response spectrum technique, not only as a potentially efficient tool for calculating the structural response to thunderstorms, but also as a mean for revisiting the whole wind-excited response in a more general and comprehensive framework.
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Modeling and analysis of quadratic term in the wind effects on structures

TL;DR: In this paper, the contribution of the quadratic drag term containing the square of the fluctuating velocity component has been considered in analyses of wind-excited structures, and a technique to model the contributions of this term to the system response extremes is presented.
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Crossing rate statistics of quadratic transformations of Gaussian processes

TL;DR: In this paper, the authors developed a numerical procedure for calculating the average crossing rates of a stochastic process that can be expressed as a sum of a linear and a nonlinear, quadratic transformation of a Gaussian process.
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Non-Gaussian along-wind response analysis in time and frequency domains

TL;DR: In this paper, the power spectral density of the wind force was used to estimate the peak value distribution of a steel lattice broadcasting antenna, and the comparison with suited time domain analyses of the response allowed to evaluate the reliability of the spectral methods.
References
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Book

Continuous univariate distributions

TL;DR: Continuous Distributions (General) Normal Distributions Lognormal Distributions Inverse Gaussian (Wald) Distributions Cauchy Distribution Gamma Distributions Chi-Square Distributions Including Chi and Rayleigh Exponential Distributions Pareto Distributions Weibull Distributions Abbreviations Indexes
Journal ArticleDOI

Mathematical analysis of random noise

TL;DR: In this paper, the authors used the representations of the noise currents given in Section 2.8 to derive some statistical properties of I(t) and its zeros and maxima.
Journal ArticleDOI

Topics in the Theory of Random Noise

Book

An introduction to the theory of random signals and noise

TL;DR: The aim of this book is to clarify the role of noise in the development of linear and nonlinear systems and to provide a procedure forormalising the noise generated by these systems.
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