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Strong Ground Motion Sensor Network for Civil Protection Rapid Decision Support Systems [PDF]

open access: yesSensors, 2021
Strong motion sensor networks deployed in metropolitan areas are able to provide valuable information for civil protection Decision Support Systems (DSSs) aiming to mitigate seismic risk and earthquake social-economic impact.
Georgios Chatzopoulos   +4 more
doaj   +2 more sources

OpenSeismoMatlab: A new open-source software for strong ground motion data processing [PDF]

open access: yesHeliyon, 2018
OpenSeismoMatlab is an innovative open-source software for strong ground motion data processing, written in MATLAB. The software implements an elastoplastic bilinear kinematic hardening constitutive model and uses a state-of-the-art single step single ...
George Papazafeiropoulos   +1 more
doaj   +2 more sources

Correlation of Ground Motion Duration with Its Intensity Metrics: A Simulation Based Approach [PDF]

open access: yesJournal of Soft Computing in Civil Engineering, 2020
There are different kinds of intensity measures to characterize the main properties of the earthquake records. This paper proposes a simulation-based approach to compute correlation coefficients of motion duration and intensity measures of the earthquake
Mojtaba Harati   +2 more
doaj   +1 more source

Validation of Peak Ground Velocities Recorded on Very-high rate GNSS Against NGA-West2 Ground Motion Models

open access: yesSeismica, 2023
Observations of strong ground motion during large earthquakes are generally made with strong-motion accelerometers. These observations have a critical role in early warning systems, seismic engineering, source physics studies, basin and site ...
Brendan Crowell   +3 more
doaj   +1 more source

Characteristics of Strong Ground Motions in the 30 October 2020, MW6.9 Aegean Sea Earthquake

open access: yesFrontiers in Built Environment, 2022
The eastern parts of the Aegean Sea were struck by a destructive MW 6.9 earthquake on 30 October 2020 at 11:51:27 UTC. The earthquake ruptured an East-West trending normal fault in the Aegean Sea between the northern coast of Samos Island and the ...
Fatma Sevil Malcioglu   +3 more
doaj   +1 more source

Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis

open access: yesSensors, 2022
A strong motion monitoring network records data that provide an excellent way to study how source, path, and site effects influence the ground motion, specifically in the near-source area.
Giovanni Costa   +10 more
doaj   +1 more source

Ground motion prediction equations based on shallow crustal earthquakes in Georgia and the surrounding Caucasus

open access: yesEarthquake Science, 2022
Strong ground motions caused by earthquakes with magnitudes ranging from 3.5 to 6.9 and hypocentral distances of up to 300 km were recorded by local broadband stations and three-component accelerograms within Georgia’s enhanced digital seismic network ...
Nato Jorjiashvili   +4 more
doaj   +1 more source

Strong-motion recordings in MS4.7 Beichuan, Sichuan earthquake on October 22, 2020

open access: yes地球与行星物理论评, 2021
On October 22, 2020, an earthquake with magnitude 4.7 occurred in Beichuan County, Sichuan Province. 532 sets of three-component acceleration records have been obtained by Sichuan strong motion network, which contribute to the study of regional ground ...
Peng Jiang   +3 more
doaj   +1 more source

Consistency Check of ITACAext, the Flatfile of the Italian Accelerometric Archive

open access: yesGeosciences, 2022
We present the results of a consistency check performed over a flatfile of accelerometric data extracted from the ITalian ACcelerometric Archive (ITACA), enriched with velocimetric records of events with magnitude M < 4.0.
Claudia Mascandola   +2 more
doaj   +1 more source

Neural estimation of strong ground motion duration

open access: yesGeofísica Internacional, 2014
Este artículo presenta y discute el uso de las redes neuronales para determinar la duración de los movimientos fuertes del terreno. Para tal efecto se desarrolló un modelo neuronal, utilizando datos acelerométricos registrados en las ciudades mexicanas ...
Leonardo Alcántara Nolasco   +3 more
doaj   +1 more source

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