000019832 001__ 19832
000019832 005__ 20170118182338.0
000019832 04107 $$aeng
000019832 046__ $$k2017-01-09
000019832 100__ $$aBard, Pierre-Yves
000019832 24500 $$aMagnitude Dependence of Stress Drop: What Do the Observed Magnitude Scaling of Ground-Motions Tell Us?

000019832 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000019832 260__ $$b
000019832 506__ $$arestricted
000019832 520__ $$2eng$$aThe behavior of earthquake stress-drop magnitude scaling has been the topic of significant debate in the earthquake source community over the past two decades. Methodologies which have been adopted by a large number of source studies require corrections for source radiation pattern, path attenuation and site amplification that ultimately introduce large uncertainties for stress-drop estimates. In this study, we adopt a different strategy: we analyze directly the ground-motions (Y) and their dependencies with magnitude (M). We first use simple stochastic models (e.g. [1]) comprised of a [2, 3] source spectrum and various models of magnitude-dependent stress drop. We show that magnitude-dependent stress-drop and constant stress-drop models lead to different scaling of ground-motions (dlogY/dM) with frequency. Using the results of [4], we then analyze the magnitude dependency of NGA-West 2 ground-motions for source-site configurations where stress-drop is the key controlling factor of ground-motions (moderate distances and rock-sites). In addition, the use of a neural network method allows us to obtain fully record-driven evaluations of (dlogY/dM) with frequency both for simulated and observed records. The comparison between these observed and simulated (dlogY/dM) allows us to discuss the scaling of the stressdrop with magnitude. We do not observe strong differences of the magnitude scaling of ground-motions between mainshocks and aftershocks.

000019832 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000019832 653__ $$aSource scaling; ground motion; stochastic models; neural networks; stress drop

000019832 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000019832 720__ $$aBard, Pierre-Yves$$iCotton, Fabrice$$iDrouet, Stephane$$iDerras, Boumédiène
000019832 8560_ $$ffischerc@itam.cas.cz
000019832 8564_ $$s476719$$uhttps://invenio.itam.cas.cz/record/19832/files/4505.pdf$$yOriginal version of the author's contribution as presented on USB, paper 4505.
000019832 962__ $$r16048
000019832 980__ $$aPAPER