TY - JOUR A1 - Foti, Sebastiano A1 - Hollender, Fabrice A1 - Garofalo, Flora A1 - Albarello, Dario A1 - Asten, Michael A1 - Bard, Pierre-Yves A1 - Comina, Cesare A1 - Cornou, Cecile A1 - Cox, Brady A1 - Di Giulio, Giuseppe A1 - Forbriger, Thomas A1 - Hayashi, Koichi A1 - Lunedei, Enrico A1 - Martin, Antony A1 - Mercerat, Diego A1 - Ohrnberger, Matthias A1 - Poggi, Valerio A1 - Renalier, Florence A1 - Sicilia, Deborah A1 - Socco, Valentina T1 - Guidelines for the good practice of surface wave analysis BT - a product of the InterPACIFIC project JF - Bulletin of earthquake engineering : official publication of the European Association for Earthquake Engineering N2 - Surface wave methods gained in the past decades a primary role in many seismic projects. Specifically, they are often used to retrieve a 1D shear wave velocity model or to estimate the V-s,V-30 at a site. The complexity of the interpretation process and the variety of possible approaches to surface wave analysis make it very hard to set a fixed standard to assure quality and reliability of the results. The present guidelines provide practical information on the acquisition and analysis of surface wave data by giving some basic principles and specific suggestions related to the most common situations. They are primarily targeted to non-expert users approaching surface wave testing, but can be useful to specialists in the field as a general reference. The guidelines are based on the experience gained within the InterPACIFIC project and on the expertise of the participants in acquisition and analysis of surface wave data. KW - Rayleigh waves KW - MASW KW - Ambient vibration analysis KW - Site characterization KW - Shear wave velocity KW - V-S,V-30 Y1 - 2017 U6 - https://doi.org/10.1007/s10518-017-0206-7 SN - 1570-761X SN - 1573-1456 VL - 16 IS - 6 SP - 2367 EP - 2420 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Di Giulio, Giuseppe A1 - Savvaidis, Alexandros A1 - Ohrnberger, Matthias A1 - Wathelet, Marc A1 - Cornou, Cecile A1 - Knapmeyer-Endrun, Brigitte A1 - Renalier, Florence A1 - Theodoulidis, Nikos A1 - Bard, Pierre-Yves T1 - Exploring the model space and ranking a best class of models in surface-wave dispersion inversion application at European strong-motion sites JF - Geophysics N2 - The inversion of surface-wave dispersion curve to derive shear-wave velocity profile is a very delicate process dealing with a nonunique problem, which is strongly dependent on the model space parameterization. When independent and reliable information is not available, the selection of most representative models within the ensemble produced. by the inversion is often difficult. We implemented a strategy in the inversion of dispersion curves able to investigate the influence of the parameterization of the model space and to select a "best" class of models. We analyzed surface-wave dispersion curves measured at 14 European strong..-motion sites within the NERIES EC-Project. We focused on the inversion task exploring the model space by means of four distinct pararneterization classes composed of layers progressively added over a half-space. The classes differ in the definition of the shear-wave velocity profile; we considered models with uniform velocity as well as models with increasing velocity with depth. At each site and for each model parameterization, we performed an extensive surface-wave inversion (200,100 models for five seeds) using the conditional neighborhood algorithm. We addressed the model evaluation following the corrected Akaike's information criterion (AlCc) that combines the concept of misfit to the number of degrees of freedom of the system. The misfit was computed as least-squares estimation between theoretical and observed dispersion curve. The model complexity was accounted in a penalty term by AlCc. By applying such inversion strategy on 14 strong-motion sites, we found that the best parameterization of the model space is mostly three to four layers over a half-space: where the shear-wave velocity of the uppermost layers can follow uniform or power-law dependence with depth. The shear-wave velocity profiles derived by inversion agree with shear-wave velocity profiles provided by borehole surveys at approximately 80% of the sites. Y1 - 2012 U6 - https://doi.org/10.1190/GEO2011-0116.1 SN - 0016-8033 VL - 77 IS - 3 SP - B147 EP - B166 PB - Society of Exploration Geophysicists CY - Tulsa ER -