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Journal ArticleDOI

Digital simulation of random processes and its applications

Masanobu Shinozuka, +1 more
- 08 Nov 1972 - 
- Vol. 25, Iss: 1, pp 111-128
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TLDR
In this article, the authors presented an efficient method for digital simulation of general homogeneous processes as a series of cosine functions with weighted amplitudes, almost evenly spaced frequencies, and random phase angles.
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This article is published in Journal of Sound and Vibration.The article was published on 1972-11-08. It has received 1460 citations till now. The article focuses on the topics: Stochastic process & Random variable.

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Citations
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Combination of modal responses consistent with seismic input representation

TL;DR: In this paper, a simplified procedure for evaluation of correlation coefficients and peak factors consistent with the power spectral density of seismic excitation is proposed, based on an approximate analytic expression for direct evaluation of the energy spectral density consistent with any prefixed response spectrum.
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Miscible porous media displacements in the quarter five-spot configuration. Part 2. Effect of heterogeneities

TL;DR: In this article, Chen et al. employed numerical simulations to investigate the coupling between the viscous fingering instability and permeability heterogeneities for miscible displacements in quarter five-spot flows.
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Simulation of Stochastic Fields by Statistical Preconditioning

TL;DR: In this article, a new stochastic fields simulation technique that can realize prescribed means and covariances with a substantially smaller sample size than that of other existing methods is developed, utilizing the modal decomposition of the covariance matrix of the correlated random vector and the spectral representation of random processes.
Journal ArticleDOI

Simulation of pavement roughness and IRI based on power spectral density

TL;DR: The international roughness index (IRI) for evaluating pavement surface roughness is simulated using the power spectral density (PSD) of pavement surface fluctuation and can be simply calculated by means of the square root of the sum of the weighted regression coefficients of PSD roughness.
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Artificial Wind Generation and Structural Response

TL;DR: In this paper, the authors investigate the merits and drawbacks of commonly used simulation techniques, and recommend the use of autoregressive-type simulation methods for simulating single and multiple time series.
References
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Journal ArticleDOI

Selected Papers on Noise and Stochastic Processes

Nelson Wax, +1 more
- 01 May 1955 - 
Journal ArticleDOI

Simulation of Multivariate and Multidimensional Random Processes

TL;DR: In this article, the authors present efficient and practical methods of simulating multivariate and multidimensional processes with specified cross-spectral density matrix, which can be expressed as the sum of cosine functions with random frequencies and random phase angles.