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A Probabilistic Nonparametric Model for the Vertical-to-Horizontal Spectral Ratio
This article develops a probabilistic nonparametric model for the vertical-to-horizontal spectral ratio of earthquake ground motions. Using Relevance Vector Machines, the spectral ratio is characterized based on ground motion records. Unlike conventional models, the proposed method does not require a functional form, and treats the model coefficients as random variables instead of fixed quantities. Demonstrative examples using records from strike-slip earthquakes are presented, and the results are compared to those from the conventional empirical models. The proposed model provides reasonably good estimates using only three predictive variables: magnitude, distance, and shear wave velocity. Future studies will investigate near-fault ground motions.
A Probabilistic Nonparametric Model for the Vertical-to-Horizontal Spectral Ratio
This article develops a probabilistic nonparametric model for the vertical-to-horizontal spectral ratio of earthquake ground motions. Using Relevance Vector Machines, the spectral ratio is characterized based on ground motion records. Unlike conventional models, the proposed method does not require a functional form, and treats the model coefficients as random variables instead of fixed quantities. Demonstrative examples using records from strike-slip earthquakes are presented, and the results are compared to those from the conventional empirical models. The proposed model provides reasonably good estimates using only three predictive variables: magnitude, distance, and shear wave velocity. Future studies will investigate near-fault ground motions.
A Probabilistic Nonparametric Model for the Vertical-to-Horizontal Spectral Ratio
Tezcan, Jale (author) / Piolatto, Alex (author)
Journal of Earthquake Engineering ; 16 ; 142-157
2012-01-01
16 pages
Article (Journal)
Electronic Resource
Unknown
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