Abstract
Presented herein is an updated model for empirical prediction of 5 %-damped elastic response spectra in the period range 0–10 s, peak ground acceleration and velocity, based on a global dataset of digital acceleration records. The predictive model features saturation of the shaking parameters with both magnitude \(M_{W}\) and distance \(R_{ RUP }\), magnitude-dependent distance attenuation, alternative parameterisations of the amplification effects due to local site conditions (based either on ground types or \(V_{S,30}\)) and corrective terms for style-of-faulting. The calibration dataset comprises more than \(1{,}880\times 2\) orthogonal horizontal accelerometer records with \(R_{ RUP }< 150\) km from 98 global earthquakes with \(4.5\le M_{W}\le 7.9\). The processing technique applied to the acceleration data optimises the reliability of the predictions at long periods, as required by displacement-based design techniques. Developed independently of the recent NGA-West2 and RESORCE-based models, the new predictive tool effectively contributes to capturing the epistemic uncertainties associated with the prediction of seismic shaking levels for engineering applications.
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Acknowledgments
All the sources of our data and metadata are gratefully acknowledged, along with the many people (in particular Roberto Paolucci, Raffaele Figini and Manuela Villani) who partially contributed to the development of this work within the last years. The work presented in this paper was partly motivated by the ongoing SeIsmic Ground Motion Assessment (SIGMA) Project. We are thankful to John Douglas and two anonymous colleagues for reviewing the original manuscript and for providing useful suggestions for improvements.
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Cauzzi, C., Faccioli, E., Vanini, M. et al. Updated predictive equations for broadband (0.01–10 s) horizontal response spectra and peak ground motions, based on a global dataset of digital acceleration records. Bull Earthquake Eng 13, 1587–1612 (2015). https://doi.org/10.1007/s10518-014-9685-y
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DOI: https://doi.org/10.1007/s10518-014-9685-y