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Parameterisation of auto-spectral density of earthquake induced strong ground motions
Abstract This paper explores the possibility of a new parametric representation of auto-spectral density (ASD) that enables extraction of several meaningful insights. Recorded translational ground motions are considered first and the resulting parametric model is capable to address the scenario when seismic energy is distributed over multiple frequency bands. A slightly different form is developed to address the rotational ground motion. Variation of ASD over the footprint of seismic arrays, both large (SMART1) and dense (LSST), is studied. The assessment is based on spectral similitude using spectral contrast angles and distance correlation. Possible correlation of the parameters of the proposed ASD model against site and event characteristics is investigated based on selected ground motions from PEER database. Model parameters thus computed are used in synthetically predicting the ASD of ground motions at the LSST array and that shows good resemblance against the recorded events.
Highlights Parametric model of Auto-spectral density for translational ground motion is proposed. A slightly different from is proposed for the rotational ground motion. Spatial variability of ASD is studied over seismic and dense seismic array. Model parameters of ASD are correlated with the site- and event- characteristics. Synthetic prediction of ASD at a site.
Parameterisation of auto-spectral density of earthquake induced strong ground motions
Abstract This paper explores the possibility of a new parametric representation of auto-spectral density (ASD) that enables extraction of several meaningful insights. Recorded translational ground motions are considered first and the resulting parametric model is capable to address the scenario when seismic energy is distributed over multiple frequency bands. A slightly different form is developed to address the rotational ground motion. Variation of ASD over the footprint of seismic arrays, both large (SMART1) and dense (LSST), is studied. The assessment is based on spectral similitude using spectral contrast angles and distance correlation. Possible correlation of the parameters of the proposed ASD model against site and event characteristics is investigated based on selected ground motions from PEER database. Model parameters thus computed are used in synthetically predicting the ASD of ground motions at the LSST array and that shows good resemblance against the recorded events.
Highlights Parametric model of Auto-spectral density for translational ground motion is proposed. A slightly different from is proposed for the rotational ground motion. Spatial variability of ASD is studied over seismic and dense seismic array. Model parameters of ASD are correlated with the site- and event- characteristics. Synthetic prediction of ASD at a site.
Parameterisation of auto-spectral density of earthquake induced strong ground motions
Rodda, Gopala Krishna (author) / Basu, Dhiman (author)
Soil Dynamics and Earthquake Engineering ; 118 ; 52-64
2018-12-03
13 pages
Article (Journal)
Electronic Resource
English
Parameterisation of auto-spectral density of earthquake induced strong ground motions
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