Abstract
We present a method for idealizing strong ground motion using a complex stochastic process decomposed in two parts: the first, related to the phenomenon of occurrence, is represented by a Point process; the second, describing ground motion for a given occurrence, is represented by a Continuous Time-dependent process. The convolution of both processes leads to the probabilistic definition of ground motion.
In this review paper we present the three-dimensional space-time-size occurrence model based on geologic and tectonic environment and on historical and instrumental seismicity. In defining ground motion, we identify first and second-order-of-importance parameters and discuss their dependence on source mechanisms and travel path. We endeavor to incorporate all available information, microseismic as well as macroseismic. Finally, we briefly discuss the convolution of the Point process and the Continuous Time-dependent process and the influence of parameter uncertainties on final probability distributions.
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© 1987 Springer Science+Business Media Dordrecht
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Oliveira, C.S. (1987). Probabilistic Models for Assessment of Strong Ground Motion. In: Erdik, M.Ö., Toksöz, M.N. (eds) Strong Ground Motion Seismology. NATO ASI Series, vol 204. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3095-2_15
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DOI: https://doi.org/10.1007/978-94-017-3095-2_15
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