000020014 001__ 20014
000020014 005__ 20170118182351.0
000020014 04107 $$aeng
000020014 046__ $$k2017-01-09
000020014 100__ $$aWhatelet, Marc
000020014 24500 $$aGround Model Ensemble Selection Based on Information Theory and Global Inversion of Surface Wave Dispersion Data

000020014 24630 $$n16.$$pProceedings of the 16th World Conference on Earthquake Engineering
000020014 260__ $$b
000020014 506__ $$arestricted
000020014 520__ $$2eng$$aThe purpose of this study is to obtain a ''reasonable ensemble'' of one dimensional shear wave velocity models that explain an observed surface wave dispersion curve with its corresponding measurement errors. The difficulty of finding this set of models lies in the definition of what is to be considered ''reasonable'' on one hand and that we are unaware of the correct velocity depth function description to be used. Therefore we need to be able to compare different velocity depth model parameterizations among each other in a correct way. This particular problem is approached by testing all perceived velocity depth model parameterizations until complexity (related to number of free parameters) doesn't allow the exploration of the model space (curse of dimensionality) and using a bias correction term (here AICc) for comparing the model fit to the data. Having found the overall best earth model, we can predict the maximal acceptable threshold for the misfit (including bias correction) of the mean curve. Consequently, we present a strategy for deriving a combined trans dimensional model ensemble using data uncertainties resulting in site characterization defined as a distribution of most likely models explaining our data.

000020014 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000020014 653__ $$aSurface Wave Data; Uncertainties on Earth Models; Genetic Algorithm; Akaike

000020014 7112_ $$a16th World Conference on Earthquake Engineering$$cSantiago (CL)$$d2017-01-09 / 2017-01-13$$gWCEE16
000020014 720__ $$aWhatelet, Marc$$iCornou, Cécile$$iOhrnberger, Matthias$$iSavvaidis, Alexandros
000020014 8560_ $$ffischerc@itam.cas.cz
000020014 8564_ $$s438651$$uhttps://invenio.itam.cas.cz/record/20014/files/4941.pdf$$yOriginal version of the author's contribution as presented on USB, paper 4941.
000020014 962__ $$r16048
000020014 980__ $$aPAPER