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Empirical predictive models for fling step and displacement response spectra based on the NESS database
https://orcid.org/0000-0002-4274-3617
https://orcid.org/0000-0002-5669-8650
Abstract The characterization of the fling-step represents a challenging task due to the shortage of near-source records with permanent tectonic displacement and the limitation in retrieving the fling-amplitude from accelerometric waveforms. In recent years, innovative ground-motion processing techniques have been developed for a more accurate estimation of both fling-displacements and spectral displacements in contrast to traditional bandpass filtering, although their application is still unusual. In this paper, we exploit the newly released dataset of the Near-Source Strong-motion records (NESS2) uniformly processed with the extended BASeline COrrection technique (eBASCO), against which we propose: (1) a new empirically-based ground motion model (GMM) for the prediction of the fling-step, and (2) an adjustment factor of the spectral displacements predicted by a reference GMM to account for the contribution of the fling-step at long periods. Such models are in agreement with observations and existing GMMs, and thus could be advantageously employed in seismic hazard analyses.
Highlights A new model for fling is calibrated on the dataset of near-source records (NESS2). We propose a corrective function of displacement spectra to account for fling-effect. The calibration dataset is uniformly processed with a baseline correction technique.
Empirical predictive models for fling step and displacement response spectra based on the NESS database
https://orcid.org/0000-0002-4274-3617
https://orcid.org/0000-0002-5669-8650
Abstract The characterization of the fling-step represents a challenging task due to the shortage of near-source records with permanent tectonic displacement and the limitation in retrieving the fling-amplitude from accelerometric waveforms. In recent years, innovative ground-motion processing techniques have been developed for a more accurate estimation of both fling-displacements and spectral displacements in contrast to traditional bandpass filtering, although their application is still unusual. In this paper, we exploit the newly released dataset of the Near-Source Strong-motion records (NESS2) uniformly processed with the extended BASeline COrrection technique (eBASCO), against which we propose: (1) a new empirically-based ground motion model (GMM) for the prediction of the fling-step, and (2) an adjustment factor of the spectral displacements predicted by a reference GMM to account for the contribution of the fling-step at long periods. Such models are in agreement with observations and existing GMMs, and thus could be advantageously employed in seismic hazard analyses.
Highlights A new model for fling is calibrated on the dataset of near-source records (NESS2). We propose a corrective function of displacement spectra to account for fling-effect. The calibration dataset is uniformly processed with a baseline correction technique.
Empirical predictive models for fling step and displacement response spectra based on the NESS database
https://orcid.org/0000-0002-4274-3617
https://orcid.org/0000-0002-5669-8650
Abstract The characterization of the fling-step represents a challenging task due to the shortage of near-source records with permanent tectonic displacement and the limitation in retrieving the fling-amplitude from accelerometric waveforms. In recent years, innovative ground-motion processing techniques have been developed for a more accurate estimation of both fling-displacements and spectral displacements in contrast to traditional bandpass filtering, although their application is still unusual. In this paper, we exploit the newly released dataset of the Near-Source Strong-motion records (NESS2) uniformly processed with the extended BASeline COrrection technique (eBASCO), against which we propose: (1) a new empirically-based ground motion model (GMM) for the prediction of the fling-step, and (2) an adjustment factor of the spectral displacements predicted by a reference GMM to account for the contribution of the fling-step at long periods. Such models are in agreement with observations and existing GMMs, and thus could be advantageously employed in seismic hazard analyses.
Highlights A new model for fling is calibrated on the dataset of near-source records (NESS2). We propose a corrective function of displacement spectra to account for fling-effect. The calibration dataset is uniformly processed with a baseline correction technique.
Empirical predictive models for fling step and displacement response spectra based on the NESS database
Schiappapietra, Erika (author) / Lanzano, Giovanni (author) / Sgobba, Sara (author)
2022-04-05
Article (Journal)
Electronic Resource
English
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