ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Publication Date: 2019-03-26
    Description: The probabilistic assessment of the seismic hazard (PSHA) at an individual site is a standard practice, but an ergodic assumption is commonly made: the ground-motion uncertainty computed by a Ground Motion Prediction Equation (GMPE) from a global dataset is assumed to be the same as the variability at a single site. In this paper, the ergodic assumption is relaxed by means of a residual analysis, accounting for the impacts on both the median and aleatory standard deviation of a GMPE. The aleatory variability is separated from the systematic source, path and site effects using a strong motion data set from Northern Italy with multiple recordings at each site and multiple earthquakes within small regions. A local model, specifically tailored for the area, is used as the reference GMPE, which predicts the geometric mean of horizontal response spectral accelerations in the period range 0.04-4s. The spatial covariance of such repeatable effects is modeled, in order to generate spatially correlated fields of path, source and site corrections and their associated variabilities. The results can be used to prepare fully non-ergodic hazard maps of parameters of engineering interest.
    Description: Unpublished
    Description: Thessaloniki
    Description: 5T. Sismologia, geofisica e geologia per l'ingegneria sismica
    Keywords: GMPEs ; Northern Italy ; Seismic hazard ; Non-ergodic PSHA ; spatial correlation
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2022-05-24
    Description: In this paper, we separate the residuals of ground motion prediction equations into different components, calculating the repeatable site-specific (dS2Ss), location-specific (dL2Lr) and path-specific (dP2Per) correction for the median model. In this way, we can reduce the total standard deviation (sigma) of the ground-motion model by Lanzano et al. (Bull Seismol Soc Am 106(1):73–92, 2016), removing these components and overcome the ergodic assumption. These repeatable terms are empirically estimated using a dataset composed by acceleration waveforms of Italian events mainly occurred in the Po plain and Eastern Alps (Northern Italy), in the time interval 1976–2015. The analysis is carried out on 2241 recordings, from 88 shallow earthquakes recorded by 168 sites. A local model, specifically tailored for Northern Italy, is used as the reference GMPE, which predicts the geometric mean of the horizontal peak ground accelerations and response spectral ordinates in the period range 0.04–4 s. Because most of the propagation paths sampled only once, the path-specific components and the resulting aleatory variability are also calculated from the spatial correlation of residuals, following the approach of Lin et al. (Bull Seismol Soc Am 101(5):2281–2295, 2011). We find a significant reduction of the overall ground motion variability to an extent comparable to what observed from previous studies on empirical and simulated datasets. The estimated median corrections and variance components can be used in probabilistic seismic hazard assessment for a single site and a single path in Northern Italy. As an example, we compute the hazard curves at some sites by means of three different approaches (ergodic, partially non-ergodic and full non-ergodic), in order to quantify the impact of relaxing the ergodic assumption.
    Description: Published
    Description: 4563–4583
    Description: 4T. Sismologia, geofisica e geologia per l'ingegneria sismica
    Description: JCR Journal
    Keywords: GMPEs ; Northern Italy ; Seismic hazard ; Non-ergodic PSHA
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...