000010909 001__ 10909
000010909 005__ 20141205155815.0
000010909 04107 $$aeng
000010909 046__ $$k2008-10-12
000010909 100__ $$aMatsuda, Satoshi
000010909 24500 $$aA Regression Model for Estimating Power Spectral Density Function of Ground Acceleration

000010909 24630 $$n14.$$pProceedings of the 14th World Conference on Earthquake Engineering
000010909 260__ $$b
000010909 506__ $$arestricted
000010909 520__ $$2eng$$aThe purpose of this study is to develop a new regression model for power spectral density function (PSDF) of ground acceleration by using the strong motion data of the K-NET and the KiK-NET in Japan. The PSDF is simply expressed as the PA model, proposed by authors before, by using three parameters: the mean square value of the ground acceleration, the predominant frequency, and the shape factor. The regression analyses for the PA-model parameters are carried out based on the maximum likelihood method with respect to the explanatory variables: the distance from the fault to the site, the magnitude, the focal depth, and the averaged shear-wave velocity at the site. The obtained PSDF regression model can express well the averaged tendency, in quality and in quantity, of the observed PSDF. Furthermore, the efficiency and the applicability of the proposed model are demonstrated through the estimation of the earthquake input energy based on the random vibration theory.

000010909 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000010909 653__ $$aPower Spectral Density Function, Regression Model, Maximum Likelihood Method, K-NET, KiK-NET

000010909 7112_ $$a14th World Conference on Earthquake Engineering$$cBejing (CN)$$d2008-10-12 / 2008-10-17$$gWCEE15
000010909 720__ $$aMatsuda, Satoshi
000010909 8560_ $$ffischerc@itam.cas.cz
000010909 8564_ $$s1413460$$uhttps://invenio.itam.cas.cz/record/10909/files/02-0113.pdf$$yOriginal version of the author's contribution as presented on CD, Paper ID: 02-0113.
000010909 962__ $$r9324
000010909 980__ $$aPAPER