000005031 001__ 5031
000005031 005__ 20141120140005.0
000005031 04107 $$aeng
000005031 046__ $$k2008-06-25
000005031 100__ $$aWang, Grace S.
000005031 24500 $$aA NEW COMPUTATIONAL METHOD FOR SEISMIC HAZARD ANALYSIS

000005031 24630 $$n4.$$pProceedings of the 4th International ASRANet Colloquium
000005031 260__ $$bASRANet Ltd., 2008
000005031 506__ $$arestricted
000005031 520__ $$2eng$$aThe purpose of this paper is focused on the determination of the seismic hazard for Taichung Area in Taiwan, based on the recorded historical data provided by National Central Weather Bureau of Taiwan. Before performing the probabilistic seismic hazard analysis (PHSA), the parameters related to the seismic input are identified based on the above data. In the conventional seismic hazard analysis, it is necessary to predetermine the distributions of the associated parameters involved in the probabilistic seismic hazard analysis. In order to overcome this shortcoming, the paper proposes a new methodology of determining the distributions by the concept of Kernel sampling density estimation. This approach is more nonparametric in the sense that less rigid assumptions will be made about the distribution of the observed data. The data is used to determine the Kernel sampling density function of the parameters and then the Monte Carlo simulation method is employed to estimate the associated seismic hazard. However, for the case of low seismic hazard, the required computational cost to reach an accurate result may be expensive. Therefore, simple Kernel method of importance sampling methods is performed with an aim to reduce the statistical error inherent in Monte Carlo methods.

000005031 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000005031 653__ $$a

000005031 7112_ $$a4th International ASRANet Colloquium$$cAthens (GR)$$d2008-06-25 / 2008-06-27$$gASRANet4
000005031 720__ $$aWang, Grace S.$$iHuang, F. K.
000005031 8560_ $$ffischerc@itam.cas.cz
000005031 8564_ $$s457885$$uhttps://invenio.itam.cas.cz/record/5031/files/078_Wang_Grace.pdf$$yOriginal version of the author's contribution as presented on CD, paper No. 78.
000005031 962__ $$r4967
000005031 980__ $$aPAPER