Conditional Hazard Maps for Secondary Intensity Measures

Iervolino, Iunio; Giorgio, Massimiliano; Galasso, Carmine; Manfredi, Gaetano

doi:10.1785/0120090383

Cited by 43 publications

(38 citation statements)

References 19 publications

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“…The conditional hazard approach (Iervolino et al 2010) one method by which fields of ground motion residuals for different IMs can be generated at multiple sites, taking into account the spatial correlation. Assuming a spatially correlated field of ground motion residuals for I M 1 generated using Eq.…”

Section: Conditional Hazard ("Markov-type" Approach)mentioning

confidence: 99%

Exploring the impact of spatial correlations and uncertainties for portfolio analysis in probabilistic seismic loss estimation

Weatherill

Silva

Crowley

et al. 2015

Bull Earthquake Eng

117

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The significant potential for human and economic losses arising from earthquakes affecting urban infrastructure has been demonstrated by many recent events such as, for example, L' Aquila (2009), Christchurch (2011) and Tohoku (2012. Within the current practice of seismic loss estimation in both academic and industry models, the modelling of spatial variability of the earthquake ground motion input across a region, and its corresponding influence upon portfolios of heterogeneous building types, may be oversimplified. In particular, the correlation properties that are well-known in observations of ground motion intensity measures (IMs) may not always be fully represented within the probabilistic modelling of seismic loss. Using a case study based on the Tuscany region of Italy, the impacts of including spatially cross-correlated random fields of different ground motion IMs are appraised at varying spatial resolutions. This case study illustrates the impact on the resulting seismic loss when considering synthetic aggregated portfolios over different spatial scales. Inclusion of spatial cross-correlation of IMs into the seismic risk analysis may often result in the likelihood of observing larger (and in certain cases smaller) losses for a portfolio distributed over a typical city scale, when compared against simulations in which the cross-correlation is neglected. It can also be seen that the degree to which the spatial correlations and cross-correlations can impact upon the loss estimates is sensitive to the conditions of the portfolio, particularly with respect to the spatial scale, the engineering properties of the different building types within the portfolio and the heterogeneity of the portfolio with respect to the types.

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Section: Conditional Hazard ("Markov-type" Approach)mentioning

confidence: 99%

Exploring the impact of spatial correlations and uncertainties for portfolio analysis in probabilistic seismic loss estimation

Weatherill

Silva

Crowley

et al. 2015

Bull Earthquake Eng

117

View full text Add to dashboard Cite

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“…For comparative purposes, a third couple of M w and R e (M w =6.5 and R e =15.0 km) was considered, it represents mean M w and R e of the URR class. The curves in Figure 3 were obtained via conditional hazard analysis according to the procedure 3 described in [24] and [25]. The mean I D of all the classes of records can be compared with the I D distributions.…”

Section: Integral Ground Motion Parametersmentioning

confidence: 99%

“…All the three complementary cumulative distributions of I D suggest that the artificial signals are characterized by unusual integral parameters although matching the same elastic spectrum of all the other record classes. 3 As discussed in [24] and [25] the conditional I D distribution would require to account for all M w and R e pairs weighted by their contribution to hazard from disaggregation and this would be the "exact" result in terms of the distribution of integral ground motion features given the design peak acceleration. However, a simplified and approximated approach may be followed using only representative pairs form the joint M w and R e disaggregation distribution.…”

Section: Integral Ground Motion Parametersmentioning

confidence: 99%

Spectral shape-based assessment of SDOF nonlinear response to real, adjusted and artificial accelerograms

Iervolino

Luca

Cosenza

2010

Engineering Structures

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The simple study discussed in this paper compared different procedures to obtain sets of spectral matching accelerograms for nonlinear dynamic analysis of structures in terms of inelastic seismic response. Six classes of records were considered: original (unscaled) real records, real records moderately linearly scaled, real records significantly linearly scaled, real records adjusted by wavelets, artificial accelerograms generated by two different procedures. The study is spectral shape-based, that is, all the considered sets of records, generated or selected, match individually (artificial and adjusted) or on average (real records) the same design spectrum for a case-study site in Italy. This is because spectral compatibility is the main criterion required for seismic input by international codes. Three kinds of single degree of freedom (SDOF) systems, non-degrading and non-evolutionary, nondegrading and evolutionary, and both degrading and evolutionary, were used to evaluate the nonlinear response to the compared records. Demand spectra in term of peak and cyclic responses were derived for different strength reduction factors. Results of the analysis show that artificial or adjusted accelerograms may underestimate, in some cases and at high nonlinearity levels, the displacement response, if compared to original real records, which are considered as a benchmark herein. However, this conclusion does not seem to be statistically significant. Conversely, if the cyclic response is considered, artificial record classes show a significant overestimation of the demand, which does not show up for wavelet-adjusted records. The two classes of linearly scaled records do not show systematic bias with respect to those unscaled for both types of the response considered, which seems to confirm that amplitude scaling is a legitimate practice.

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“…Records may also be selected reflecting disaggregation of seismic hazard in terms of magnitude and source-tosite distance and specific ranges of ground motion intensity measures. Several options related to management of REXEL's output, and advanced research-based tools for improving and rendering record selection hazard-consistent (e.g., conditional hazard; Iervolino et al 2010c), are also included.…”

Section: Rexelitementioning

confidence: 99%

Engineering ground motion record selection in the ITalian ACcelerometric Archive

Iervolino

Galasso

Paolucci

et al. 2011

Bull Earthquake Eng

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This paper introduces REXELite, an internet version of REXEL, a software for automatic selection of ground motion suites for nonlinear dynamic analysis of structures. REXELite was developed with the aim of integrating an advanced earthquake records’ repository, such as the ITalianACcelerometricArchive (ITACA), with a tool to define seismic input for engineering seismic analysis according to international standards (with priority to Europe). In fact, REXELite allows to define target design spectra according either to Eurocode 8 or to the Italian building code, and to search ITACA for suitable sets of seven records (comprised of one or two horizontal ground motion components) matching such target spectra: on average, in a user-specified period range, and with the desired tolerance. The records in the set also have, individually and according to some criteria, the most similar spectral shape with respect to that of the code. Selection options include magnitude, source-to-site distance, soil conditions and, if desired, linear scaling of records to reduce further record-to-record\ud variability of the selected suite

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Conditional Hazard Maps for Secondary Intensity Measures

Cited by 43 publications

References 19 publications

Exploring the impact of spatial correlations and uncertainties for portfolio analysis in probabilistic seismic loss estimation

Exploring the impact of spatial correlations and uncertainties for portfolio analysis in probabilistic seismic loss estimation

Spectral shape-based assessment of SDOF nonlinear response to real, adjusted and artificial accelerograms

Engineering ground motion record selection in the ITalian ACcelerometric Archive

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