Parameterisation of auto-spectral density of earthquake induced strong ground motions

Show simple item record Rodda, Gopala Krishna Basu, Dhiman 2019-01-02T09:42:08Z 2019-01-02T09:42:08Z 2019-03
dc.identifier.citation Rodda, Gopala Krishna and Basu, Dhiman, "Parameterisation of auto-spectral density of earthquake induced strong ground motions", Soil Dynamics and Earthquake Engineering, DOI: 10.1016/j.soildyn.2018.12.001, vol. 118, pp. 52-64, Mar. 2019. en_US
dc.identifier.issn 2677261
dc.description.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.
dc.description.statementofresponsibility by Gopala Krishna Rodda and Dhiman Basu
dc.format.extent vol. 118, pp. 52-64
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Parametric auto-spectral density en_US
dc.subject Spatial variability en_US
dc.subject Rotational ground motion en_US
dc.title Parameterisation of auto-spectral density of earthquake induced strong ground motions en_US
dc.type Article en_US
dc.relation.journal Soil Dynamics and Earthquake Engineering

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