Affiliation:
1. CEREMA Méditerranée Agence de Sophia Antipolis: CEREMA Agence de Sophia Antipolis
2. Gustave Eiffel University: Universite Gustave Eiffel
3. CentraleSupelec
4. Abou Bekr Belkaid University Tlemcen: Universite Abou Bekr Belkaid Tlemcen
Abstract
Abstract
We use two different purely empirical approaches to estimate the non-linear transfer function between a reference rock and a sedimentary site from recordings of weak ground motions and site-condition proxies. The modulus of the linear transfer function is first computed from weak motions and then modulated with a correction to consider non-linear soil behavior. Afterward, a time delay between the rock and site stations is considered using the weak motions delays and a minimum-phase assumption is used to derive a complex transfer function, which then allows to recover the prediction of acceleration time series a(t) at the sedimentary site. We apply these two approaches to the material provided for step 3 of the blind prediction exercise organized by the ESG6 Conference. The predictions were compared to the recordings that were provided after the blind test and to the overall predictions performed in the benchmark. Both methods underestimate the non-linear effects on the site response. For the foreshock, it contributes to improve the prediction compared to the other predictions. However, the prediction is less accurate for the mainshock. The prediction is also based on the average linear transfer function which, in case of large variability between weak motion transfer functions, may underestimate at some frequencies the amplification. Both of these purely empirical methods provide an honorable prediction of the Fourier spectra and acceleration time histories of the two target events, as the methods required only recordings of weak motions at the target and a referent sites and very simple description of the soil profile. The use of moderate motions to constrain the frequency shift prediction for the second method and the consideration of an alternative phase modification are possible ways to improvement.
Publisher
Research Square Platform LLC
Reference28 articles.
1. Anderson JG (2004) Quantitative measure of the goodness-of-fit of synthetic seismograms. 13th World Conference on Earthquake Engineering
2. Archuleta RJ, Steidl JH, Bonilla LF (2000) Engineering insights from data recorded on vertical arrays, in: Proc
3. Nonlinear soil response;Beresnev IA;reality? Bull Seismological Soc Am,1996
4. Hysteretic and Dilatant Behavior of Cohesionless Soils and Their Effects on Nonlinear Site Response: Field Data Observations and Modeling;Bonilla LF;Bull Seismol Soc Am,2005
5. Nonlinear site response evidence of K-net and KiK-net records from the Mw 9 Tohoku earthquake;Bonilla LF,2011