000018712 001__ 18712
000018712 005__ 20170118182238.0
000018712 04107 $$aeng
000018712 046__ $$k2017-01-09
000018712 100__ $$aAmeri, Gabriele
000018712 24500 $$aGround Motion Variability From Finite-Fault Simulations

000018712 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000018712 260__ $$b
000018712 506__ $$arestricted
000018712 520__ $$2eng$$aThe standard deviation (sigma) of the Ground Motion Prediction Equations (GMPEs) has a crucial impact on the results of seismic hazard analysis, especially for long return periods. Recently, great efforts have been made to find strategies to reduce sigma values, focusing on the different components that contribute to the ground-motion variability. This is an important task, since if the sources of ground motion variability are recognized, they could be accounted for the epistemic components of the uncertainties, thus reducing the aleatory component. To explore contributions related to site and propagations effects, specific dataset composed of records at the same site from different earthquakes or at multiple sites from events restricted in a given source-region can be used. Strong-motion data can be hardly used to investigate the variability from a single fault, since different events on the same source have been recorded very rarely. To overcome this limitation, synthetic seismograms can represent a valid alternative to build a fault-specific dataset. In recent years, the use of numerical simulations is increasing and a number of initiatives worldwide promote their application for hazard assessment purposes. When numerical simulations are used to predict future ground motions, a large number of possible earthquake scenarios on the same fault can be considered, varying the model parameters of the source-rupture process. Through the massive calculation of synthetic seismograms, the expected ground motion and associated variability at the site of interest can then be evaluated. However, to date, there is no standard approach to quantify and treat the generated ground-motion variability. In this paper, we explore the use of numerical simulations based on kinematic rupture models in order to treat the parametric variability of expected ground motions. Following the strategy adopted in the GMPE community, we generate synthetic dataset for single and multiple sites in the proximity of a single fault, considering numerous rupture scenarios. We establish a framework for treating the different components of the variability related to the synthetic datasets and quantify the contribution related to rupture scenarios and to the spatial distribution of sites with respect to the source. Since we use three simulation methods, we also evaluate how these components depend on the numerical approach.

000018712 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000018712 653__ $$aFinite-fault simulation, synthetic ground-motion variability, parametric aleatory variability

000018712 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000018712 720__ $$aAmeri, Gabriele$$iD'Amico, Maria$$iGallovic, Frantisek$$iPacor, Francesca
000018712 8560_ $$ffischerc@itam.cas.cz
000018712 8564_ $$s1478061$$uhttps://invenio.itam.cas.cz/record/18712/files/2062.pdf$$yOriginal version of the author's contribution as presented on USB, paper 2062.
000018712 962__ $$r16048
000018712 980__ $$aPAPER