Stochastic process models for earthquake ground motion

• Published in: Probabilistic Engineering Mechanics Vol. 3; no. 3; pp. 114 - 123
• Main Authors: Shinozuka, M., Deodatis, G.
• Format: Book Review Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.09.1988; Elsevier Science
• Subjects: Applied sciences; autocorrelation function; Buildings. Public works; evolutionary power spectrum; Exact sciences and technology; filtered Poisson process; filtered white noise process; ground motion; homogeneity; nonhomogeneity; nonstationarity; power spectrum; simulation; spectral representation; stationarity; stochastic field; stochastic process; stochastic wave; Stresses. Safety; Structural analysis. Stresses; power spectrum; evolutionary power spectrum; nonstationarity; simulation; stochastic process; stochastic field; ground motion; filtered white noise process; filtered Poisson process; homogeneity; autocorrelation function; nonhomogeneity; stationarity; spectral representation; stochastic wave; Wave propagation; Digital simulation; Seismic wave; White noise; Review; Stochastic process; Poisson process; Structural analysis; Seismic load
• DOI: 10.1016/0266-8920(88)90023-9
• ISSN: 0266-8920

In this paper we present a review of stochastic process models proposed for the simulation of seismic ground motion. The models reviewed include those based on filtered white noise processes, filtered Poisson processes, spectral representation of stochastic processes, and finally those based on stochastic wave theory. Mathematical expressions are provided for all models along with comments on their usefulness, advantages and disadvantages. Together with the review of auto-regressive moving-average models by F. Kozin in this PEM review series on earthquake engineering (June issue), this paper represents an overview of stochastic models of earthquake ground motion, which is hopefully of some use to researchers as well as practitioners.