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Strong-motion duration predictive models from subduction interface earthquakes recorded in the hill zone of the Valley of Mexico
Abstract Many studies have found that ground-motion duration has a considerable influence on damage to conventional civil structures. Historically, Mexico City has been severely affected by long-duration distant subduction earthquakes because of the heterogeneous local site conditions underlying the subsoil of the city, which significantly amplify the soil response. Using a reliable database of earthquakes that occurred in the subduction zone of the Pacific Coast of Mexico, recorded in the hill zone of the Valley of Mexico from 1985 to 2020, predictive models are proposed in this study from existing definitions of strong-motion duration. These models were developed using a mixed-effects approach, which is a statistical method that can consider the correlation between data recorded from the same event. Such models have valuable applications in seismic and structural engineering because they can accurately define the dimension and randomness of strong-motion duration.
Highlights Strong-motion duration predictive models are developed using a mixed-effects approach. An updated catalog of subduction earthquakes recorded at the Valley of Mexico is used. The models estimate the duration at distances greater than 300 km from the source. Different trends are observed compared with other models reported in the literature.
Strong-motion duration predictive models from subduction interface earthquakes recorded in the hill zone of the Valley of Mexico
Abstract Many studies have found that ground-motion duration has a considerable influence on damage to conventional civil structures. Historically, Mexico City has been severely affected by long-duration distant subduction earthquakes because of the heterogeneous local site conditions underlying the subsoil of the city, which significantly amplify the soil response. Using a reliable database of earthquakes that occurred in the subduction zone of the Pacific Coast of Mexico, recorded in the hill zone of the Valley of Mexico from 1985 to 2020, predictive models are proposed in this study from existing definitions of strong-motion duration. These models were developed using a mixed-effects approach, which is a statistical method that can consider the correlation between data recorded from the same event. Such models have valuable applications in seismic and structural engineering because they can accurately define the dimension and randomness of strong-motion duration.
Highlights Strong-motion duration predictive models are developed using a mixed-effects approach. An updated catalog of subduction earthquakes recorded at the Valley of Mexico is used. The models estimate the duration at distances greater than 300 km from the source. Different trends are observed compared with other models reported in the literature.
Strong-motion duration predictive models from subduction interface earthquakes recorded in the hill zone of the Valley of Mexico
López-Castañeda, Alhelí S. (author) / Reinoso, Eduardo (author)
2021-02-16
Article (Journal)
Electronic Resource
English
British Library Online Contents | 2013
|British Library Online Contents | 2005
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