000019063 001__ 19063
000019063 005__ 20170118182257.0
000019063 04107 $$aeng
000019063 046__ $$k2017-01-09
000019063 100__ $$aPapageorgiou, Apostolos S.
000019063 24500 $$aLocal Stress Drop Estimates of Strong Earthquakes in the South Iceland Seismic Zone

000019063 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000019063 260__ $$b
000019063 506__ $$arestricted
000019063 520__ $$2eng$$aIn earthquake prone regions where strong-motion data is scarce, the reliability of strong ground motion simulations from large earthquakes depends heavily on realistic source, path and site models. Due to the inherent uncertainty and randomness of earthquake processes and crustal heterogeneities, reducing the standard error associated with empirical attenuation relationships has proven difficult. Additionally, such relationships are strictly speaking not valid outside the range that the data defines. Therefore, it is advantageous to use physically based models, especially of the earthquake source, for ground motion simulation. The specific barrier model (SBM) provides a complete, yet parsimonious and self-consistent description of the faulting processes that are responsible for the generation of high-frequency waves (> 1 Hz). It is especially versatile and has, when modeling the earthquake as a point-source, been applied in the context of the stochastic modeling approach and random vibration theory. Moreover, modeling the earthquake on a finite-size fault, the SBM has also been applied in more physically realistic strong-motion hybrid-simulations, both in the near-fault as well as far-field region of a finite earthquake source. While previous studies have successfully simulated key parameters of strong-motion and complete time histories, the uncertainty of the source parameters has not been quantified. A key source parameter of the SBM is the local stress drop which drives the slip on the fault. In this study, using the strong-motion database of Iceland, the most seismically active region in northern Europe, as a case-study, moderate-to-strong Icelandic earthquakes (77 records of 6 earthquakes in the South Iceland Seismic Zone with MW ranging from 5.1 to 6.5) were modeled by the SBM and their local stress drops estimated. While the SBM provides a simple but physically meaningful representation of the faulting process the Bayesian method gives mathematically well-defined answers to the question what we can learn about the stress drop value distribution from the given data. Therefore, the model parameter uncertainty was quantified within the Bayesian statistical framework, employing a Markov chain Monte Carlo (MCMC) method with the Metropolis algorithm. To set up the Bayesian probability system, the data were corrected for path and site effects to obtain derived source spectra for each earthquake. In order to avoid trade-offs with the local stress drop, the high-frequency diminution parameter 
000019063 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000019063 653__ $$alocal stress drop, specific barrier model, Bayesian statistics

000019063 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000019063 720__ $$aPapageorgiou, Apostolos S.$$iHalldorsson, Benedikt$$iHrafnkelsson, Birgir$$iSonnemann, Tim
000019063 8560_ $$ffischerc@itam.cas.cz
000019063 8564_ $$s544990$$uhttps://invenio.itam.cas.cz/record/19063/files/2771.pdf$$yOriginal version of the author's contribution as presented on USB, paper 2771.
000019063 962__ $$r16048
000019063 980__ $$aPAPER