2016
DOI: 10.1504/ijeie.2016.10004076
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A seismological and engineering perspective on the 2016 Central Italy earthquakes

Abstract: Abstract:The strong earthquake (M 6.0-6.2) that hit the central Apennines on August 24, 2016, occurred in one of the most seismically active areas in Italy. Field surveys indicated severe damage in the epicentral area where, in addition to the loss of human life, widespread destruction of cultural heritage and of critical buildings occurred. Using the neo-deterministic seismic hazard assessment (NDSHA), we apply the maximum deterministic seismic input (MDSI) procedure at two of the most relevant sites in the e… Show more

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Cited by 1 publication
(3 citation statements)
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“…Regarding the physical definition of the MCSI response spectrum, it is described in [29,42] where, for each seismogenic source, n-scenarios (in terms of magnitude, epicentre distance and focal mechanism of the earthquake) have been considered, the obtained n-spectral acceleration values (SA) have been compared, and the maximum median has been selected, as depicted in Figure 6. Figure 6.…”
Section: Maximum Credible Seismic Input (Mcsi)mentioning
confidence: 99%
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“…Regarding the physical definition of the MCSI response spectrum, it is described in [29,42] where, for each seismogenic source, n-scenarios (in terms of magnitude, epicentre distance and focal mechanism of the earthquake) have been considered, the obtained n-spectral acceleration values (SA) have been compared, and the maximum median has been selected, as depicted in Figure 6. Figure 6.…”
Section: Maximum Credible Seismic Input (Mcsi)mentioning
confidence: 99%
“…With this intent, according to [29,42], the MCSI response spectrum, taking into account the stochastic nature of the algorithm implemented by the XeRIS tool [35], is evaluated at the 95th percentile, based on the number of realizations of the fault rupture process considered. Therefore, by defining the maximum credible seismic input, the maximum contribution in terms of seismic hazard is offered by the Mirandola source (MIR, see Table 4) due to a reduced site-source distance.…”
Section: Vulnerability Assessment For the Bilinear Elasto-plastic Sus...mentioning
confidence: 99%
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