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Impact of site classification on deriving empirical ground-motion prediction equations: Application
| Content Provider | Semantic Scholar |
|---|---|
| Author | Fukushima, Yoshihiro Bonilla, Fabián Scotti, Oona Douglas, Jack F. |
| Copyright Year | 2007 |
| Abstract | Dans ce travail, nous avons classifie les sites en utilisant la periode dominante a partir du rapport spectral moyen (H/V) des spectres de reponse et nous avons examine l'impact de cette classification sur le calcul des modeles empiriques de prediction du mouvement sismique. Cette procedure a ete appliquee a la base de donnees compilee par Fukushima et al. (2003) dont les sites ont ete classes comme etant au rocher ou au sediment. En appliquant cette technique, les sites sur des sols mous ont clairement ete identifies. Avec cette nouvelle classification nous avons calcule des equations de prediction empirique du mouvement sismique. La variabilite aleatoire de ces equations (mesuree par leur ecart type) est legerement inferieure a celle obtenue en utilisant une classification au rocher et au sediment seulement. Cependant, l'effet le plus important est sur le spectre de reponse predit, qui est tres different de celui calcule avec les deux classes rocher/sediment. Les spectres predits avec cette nouvelle classification montrent une difference importante entre sites mous, raides et rocheux. ABSTRACT. We classify sites based on their predominant period computed using average horizontal-to-vertical (H/V) response spectral ratios and examine the impact of this classification scheme on empirical ground-motion models. We apply this classification scheme to the database of Fukushima et al. (2003), for which stations were originally classified as simply rock or soil. The calculation of average H/V response spectral ratios permits the majority of sites in the database to be unambiguously classified. Soft soil conditions are clearly apparent using this technique. Ground-motion prediction equations are then computed using this alternative classification scheme. The aleatoric variability of these equations (measured by their standard deviations) is slightly lower than those derived using only soil and rock classes. However, perhaps more importantly, predicted response spectra are radically different to those predicted using the soil/rock classification. In addition, since the H/V response spectral ratios were used to classify stations the predicted spectra for different sites show clear separation. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://hal-brgm.archives-ouvertes.fr/hal-00714399/document |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
