Ezio Faccioli
Polytechnic University of Milan
82 Papers
373 Citations
Ezio Faccioli is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Seismic hazard & Earthquake scenario. The author has an hindex of 29, co-authored 81 publications. Previous affiliations of Ezio Faccioli include Leonardo & University of Milan.
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Papers
2D and 3D elastic wave propagation by a pseudo-spectral domain decomposition method
TL;DR: In this article, a new numerical method is presented for propagating elastic waves in heterogeneous earth media, based on spectral approximations of the wavefield combined with domain decomposition techniques.
371
Broadband (0.05 to 20 s) prediction of displacement response spectra based on worldwide digital records
Carlo Cauzzi,Ezio Faccioli +1 more
TL;DR: A new set of empirical equations for prediction of displacement response spectral ordinates from 20 Hz to T = 20 s is illustrated in this paper, where the coefficients of the equations were obtained by regressing a dataset based on 1,155 tri-axial digital and 9 analog accelerometer records from 60 earthquakes worldwide.
260
Toward a ground-motion logic tree for probabilistic seismic hazard assessment in Europe
Elise Delavaud,Fabrice Cotton,Fabrice Cotton,Sinan Akkar,Frank Scherbaum,Laurentiu Danciu,Laurentiu Danciu,Laurentiu Danciu,Céline Beauval,Céline Beauval,Stéphane Drouet,Stéphane Drouet,John Douglas,Roberto Basili,M. Abdullah Sandıkkaya,Margaret Segou,Ezio Faccioli,Nikos Theodoulidis +17 more
TL;DR: In this article, a logic tree for ground-motion prediction in Europe has been constructed by combining expert judgment and data testing, and sensitivity analysis of the weights on the seismic hazard has been conducted, showing that once the GMPEs have been selected, the associated set of weights has a smaller influence on the hazard.
231
Updated predictive equations for broadband (0.01–10 s) horizontal response spectra and peak ground motions, based on a global dataset of digital acceleration records
TL;DR: In this article, an updated model for empirical prediction of 5-damped elastic response spectra in the period range 0-10 s, peak ground acceleration and velocity, based on a global dataset of digital acceleration records.
Displacement Spectra for Long Periods
TL;DR: In this paper, the authors derived analytical expressions for the displacement waveforms that provide satisfactory fits to the observations and demonstrated that the moment magnitude and distance control the shape of the displacement response spectra consistent with the commonly accepted models of the seismic source.
163