Please use this identifier to cite or link to this item:
AuthorsPacor, F.* 
Zonno, G.* 
Cultrera, G.* 
Cirella, A.* 
Herrero, A.* 
Tinti, E.* 
Albarello, D.* 
D'Amico, V.* 
Emolo, A.* 
Gallovic, F.* 
Basili, R.* 
TitleTask 5 - Potenza - Deliverable D17: Bedrock shaking scenarios
Issue DateJul-2007
Series/Report no.D17
KeywordsShaking scenario
Subject Classification04. Solid Earth::04.06. Seismology::04.06.04. Ground motion 
AbstractThe main goal of this report is the computation of the bedrock seismic scenarios in the Potenza city (Southern Italy) to be used for evaluating damage scenarios (described in PS3-Deliverables D18-D19-D24). This area represents one of the prediction case studies, planned in the framework of Project S3 which aim is the production of ground shaking scenarios for high and moderate magnitude earthquakes. The area around Potenza was affected by several destructive earthquakes in historical time (Table 2.1.1) and a number of individual sources representing the causative faults of single seismic events with magnitude up to 7 were identified. Deeper and smaller faults are present very close to the Potenza city, generating events with M up to 5.7 (1990 Potenza earthquake). Due to the involved source-to-site distances (about 25 km) and to the computation resolution of the simulation techniques, the site is represented by a single point. In total 9 faults were identified and the deterministic shaking scenarios are computed for each of them. The following strategy is adopted to provide ground motions. We compute shaking scenarios at level 1, using a simplified simulation technique (DSM, Pacor et al.; 2005) for all the faults. By these simulations we identify the three faults (F3, F7. and F8) producing the maximum expected shaking at the Potenza city, in terms of peak ground acceleration, peak ground velocity and Housner intensity. Based on these results, simulations at level 2, using the broad band technique HIC (Gallovic and Brokeshova, 2007) have been performed at Potenza for F3, F7 and F8 sources. For the Potenza city, we decided to predict the shaking scenarios at level 2, in order to provide suitable estimates of the low frequency ground motion (e.g. velocity time series) and engineering parameters (e.g. Arias intensity) strictly related to the duration of the signals. For each source, we generated hundreds of rupture models varying slip distribution, nucleation points and rupture velocity, and for each model we simulated the acceleration time series by HIC. Then we computed the probability density functions (PDF) of the ground motion parameters (PGA, PGV, PGD, Arias and Housner intensities) and estimated several statistical quantities in order to select families of accelerograms to be used for damage analysis: mean and associated standard deviation, median, 75% percentile, 84% percentile, mode, minimum and maximum. Finally we provided to the engineering Research Unit 6 of this project three sets of 7 accelerograms, having ground motion parameters equal to the statistical requirements computed by the synthetic distributions. The first set includes 7 accelerograms (three components), each of them having PGA equal to the mean, median, mode, 75-percentile, 84-percentile, minimum and maximum values of the PGA distribution. The second set and third sets include 7 accelerograms (horizontal components only), having PGA and Housener Intensity in the neighborhood of the median values of the corresponding distributions. A further comparison of adopted procedure for the predicted ground motion at Potenza was performed with respect to stochastic ground motions generated with EXSIM method (Motazedian and Atkinson; 2005). Even if the scenarios modelling was carried out varying different kinematic parameters, the statistical parameter were quite similar. Finally to provide shaking scenarios in term of macroseismic intensity, we applied a probabilistic empirical approach, developed in Progetto DPC-INGV S1.
Appears in Collections:Reports

Files in This Item:
File Description SizeFormat 
Deliverable_S3T5_D17.pdfdeliverable report5.8 MBAdobe PDFView/Open
Show full item record

Page view(s)

Last Week
Last month
checked on Jun 23, 2017


checked on Jun 23, 2017

Google ScholarTM