000022278 001__ 22278
000022278 005__ 20170622150005.0
000022278 04107 $$aeng
000022278 046__ $$k2015-05-25
000022278 100__ $$aStefanou, George
000022278 24500 $$aGENERATION OF ARTIFICIAL ACCELEROGRAMS USING STOCHASTIC METHODS

000022278 24630 $$n5.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000022278 260__ $$bNational Technical University of Athens, 2015
000022278 506__ $$arestricted
000022278 520__ $$2eng$$aIn recent years, the stochastic description of ground motion time histories used as input in the nonlinear dynamic analysis of structures has received considerable attention in the field of earthquake engineering. This is mainly due to the random nature of earthquake ground motion that may be experienced by a structure in the future as well as to the lack of recorded data fitting the specific requirements of each case (site conditions, epicentre distance etc.) In addition, a complete probabilistic description of the structural response in the framework of Monte Carlo simulation requires a large number of accelerograms with similar statistical properties. Since there are still not enough records of strong earthquakes with the above properties, this task can only be achieved through the generation of artificial accelerograms. In order to be realistic, these accelerograms have to reflect the characteristics of the ground motions expected to happen at a given site. In this paper, the issue of generation of artificial accelerograms is treated as an application of non-stationary stochastic process simulation. The non-stationarity in both ground motion amplitude and frequency content is taken into account by using the concept of evolutionary power spectrum. The correlation of the timedependent amplitude and frequency content of the signal with magnitude, distance and site conditions is deduced from recorded strong motion data. The spectral representation method along with translation process theory is used to generate artificial accelerograms that are compatible with the elastic design spectrum defined by EC8. Finally, useful conclusions are derived regarding the influence of a non-Gaussian probability distribution on the generated ground motion time histories.

000022278 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000022278 653__ $$a

000022278 7112_ $$aCOMPDYN 2015 - 5th International Thematic Conference$$cCrete (GR)$$d2015-05-25 / 2015-05-27$$gCOMPDYN2015
000022278 720__ $$aStefanou, George
000022278 8560_ $$ffischerc@itam.cas.cz
000022278 8564_ $$s9282$$uhttps://invenio.itam.cas.cz/record/22278/files/C2166_abstract.pdf$$yOriginal version of the author's contribution as presented on CD, section: 
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000022278 962__ $$r22030
000022278 980__ $$aPAPER