Abstract
SummaryThis study investigates the correlation properties of integral ground‐motion intensity measures (IMs) from Italian strong‐motion records. The considered integral IMs include 5–95% significant duration, Housner intensity, cumulative absolute velocity, and Arias intensity. Both IM spatial correlation and the correlation between different integral and amplitude‐based IMs (i.e., cross‐IM correlation) are addressed in this study. To this aim, a new Italian ground‐motion model (GMM) with spatial correlation for integral IMs is first introduced. Based on the newly developed GMM, the empirical correlation coefficients from interevent and intraevent residuals are investigated and various analytical correlation models between integral IMs and amplitude‐based IMs are proposed. The effective range parameter representing spatial correlation properties and the trend in the cross‐IM correlations are compared with existing models in the literature. The variability of the effective range parameters with respect to event‐specific features is also discussed. Modeling ground‐motion spatial and cross‐IM correlations is an important step in seismic hazard and risk assessment of spatially distributed systems. Investigating region‐specific correlation properties based on Italian strong‐motion records is of special interest as several correlation models have been developed based on global datasets, often lacking earthquakes in extensional regions such as Italy.
Highlights
Amplitude, frequency content, and strong-motion duration are key features characterizing earthquake-induced ground motions and affecting seismic demands on engineering systems
This model uses a large, harmonized national dataset with an advanced functional form compared with previous ground-motion model (GMM); integral intensity measures (IMs) and ground-motion spatial and cross-IM correlation features were not addressed in this model
The estimated model parameters for the GMMs with and without spatial correlation are presented in Table 1 for the considered integral IMs
Summary
The most recent GMMs based on the Italian dataset is that proposed by Lanzano et al.[36] for PGA, peak ground velocity (PGV), and 5% damped elastic PSA This model uses a large, harmonized national dataset with an advanced functional form compared with previous GMMs; integral IMs and ground-motion spatial and cross-IM correlation features were not addressed in this model. Regional differences may occur within a given country as well Based on these various remarks, this study first develops a new GMM with spatial correlation for integral IMs observed in Italian strong-motion records. It is noted that the ground-motion records utilized in this study have been processed by Istituto Nazionale di Geofisica e Vulcanologia based on the procedure of Paolucci et al.[43] and have been checked in terms of their quality, especially based on the signal-to-noise ratio.[40]
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