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A new approach to site classification
- With increasing amount of strong motion data, Ground Motion Prediction Equation (GMPE) developers are able to quantify empirical site amplification functions (delta S2S(s)) from GMPE residuals, for use in site-specific Probabilistic Seismic Hazard Assessment. In this study, we first derive a GMPE for 5% damped Pseudo Spectral Acceleration (g) of Active Shallow Crustal earthquakes in Japan with 3.4 <= M-w <= 7.3 and 0 <= R-JB <= 600km. Using k-mean spectral clustering technique, we then classify our estimated delta S2S(s)(T = 0.01 - 2s) of 588 wellcharacterized sites, into 8 site clusters with distinct mean site amplification functions, and within-cluster site-tosite variability similar to 50% smaller than the overall dataset variability (phi(S2S)). Following an evaluation of existing schemes, we propose a revised data-driven site classification characterized by kernel density distributions of V-s30, V-s10, H-800, and predominant period (T-G) of the site clusters.
Verfasserangaben: | Sreeram Reddy KothaORCiDGND, Fabrice Pierre CottonORCiDGND, Dino BindiORCiD |
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DOI: | https://doi.org/10.1016/j.soildyn.2018.01.051 |
ISSN: | 0267-7261 |
ISSN: | 1879-341X |
Titel des übergeordneten Werks (Englisch): | Soil Dynamics and Earthquake Engineering |
Untertitel (Englisch): | Mixed-effects Ground Motion Prediction Equation with spectral clustering of site amplification functions |
Verlag: | Elsevier |
Verlagsort: | Oxford |
Publikationstyp: | Wissenschaftlicher Artikel |
Sprache: | Englisch |
Datum der Erstveröffentlichung: | 17.02.2018 |
Erscheinungsjahr: | 2018 |
Datum der Freischaltung: | 17.11.2021 |
Freies Schlagwort / Tag: | Empirical site amplification functions; Ground Motion Prediction Equation; Mixed-effects regression; Site classification; Spectral clustering analysis |
Band: | 110 |
Seitenanzahl: | 12 |
Erste Seite: | 318 |
Letzte Seite: | 329 |
Fördernde Institution: | SIGMA2 Project (EDF); SIGMA2 Project (CEA); SIGMA2 Project (PGE); SIGMA2 Project (SwissNuclear); SIGMA2 Project (Areva); SIGMA2 Project (CEZ); SIGMA2 Project (CRIEPI) |
Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften |
DDC-Klassifikation: | 5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften |
Peer Review: | Referiert |
Publikationsweg: | Open Access / Green Open-Access |