
doi: 10.2495/dman090301
handle: 20.500.11769/245074
This study has regarded the evaluation of site effects for seismic vulnerability in correspondence of a site in San Giuliano di Puglia (Italy), located in the Molise Region in Southern Italy, which is prone to high seismic risk. On October 31, 2002, a ML = 5.4 earthquake struck the Molise region in Southern Italy. The strongly non-uniform damage distribution observed in the town of San Giuliano di Puglia suggested that site amplification significantly affected the seismic response of the area. Accelerograms obtained from the recording of the aftershocks of the earthquake of October 31, 2002 have been used to evaluate the ground response analysis at the surface. Finally the 1-D computer code EERA was also used to model the equivalent-linear earthquake site response analyses of layered soil deposits. The detail with which the hill has been studied has allowed the construction of a detailed 2-D model of its structure. The difference between the computed ground motion for different Vs profiles has been explored using QUAD4M and QUAKE/W 2-D codes. It has also been possible to compare the results from different 1-D models used, reflecting current approaches to the determination of site response.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
