A fully parametric non-stationary spectral-based stochastic ground motion model

Christos Vlachos, George Deodatis, Konstantinos Papakonstantinou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel strong ground motion stochastic model is formulated in association with physically interpretable parameters that are capable of efficiently characterizing the complex evolutionary nature of the phenomenon. A multi-modal, analytical, fully non-stationary spectral version of the Kanai-Tajimi model is introduced achieving a realistic description of the evolutionary spectral energy distribution of the seismic ground motions. The functional forms describing the temporal evolution of the model parameters can effectively model complex highly non-stationary power spectral characteristics. The analysis space, where the analytical forms describing the evolution of the model parameters are established, is the energy domain instead of the typical use of the time domain. The Spectral Representation Method facilitates the simulation of sample model realizations.

Original languageEnglish (US)
Title of host publication12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
PublisherUniversity of British Columbia
ISBN (Electronic)9780888652454
StatePublished - Jan 1 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada
Duration: Jul 12 2015Jul 15 2015

Publication series

Name12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

Other

Other12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
CountryCanada
CityVancouver
Period7/12/157/15/15

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All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Statistics and Probability

Cite this

Vlachos, C., Deodatis, G., & Papakonstantinou, K. (2015). A fully parametric non-stationary spectral-based stochastic ground motion model. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015 (12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015). University of British Columbia.