The project is implemented by 15 partners from France and Greece. Project partners are: CEA , EDF , ENS Cachan, Ecole Centrale Paris , Ecole Centrale Nantes, Grenoble Polytechnic Institute , Areva, IRSN , EGIS – Industries, Université Joseph ISTerre , IFSTTAR, CEREMA Méditerranée, PIA –RSNR, EPPO-ITSAK, TEI Ionion Nison

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Project description & Funding

This page describes the project and the special 3D accelerometric array (ARGONET) that was designed and installed in Argostoli-Cephalonia (Greece). Title: SINAPS@[Earthquake and Nuclear Facilities : Ensuring Safety and Sustaining] Date: 2014 – 2018 Funding Organisation: ANR (Agence Nationale de la Recherche, France) Partners: CEA , EDF , ENS Cachan, Ecole Centrale Paris , Ecole […]

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Repository webpage of the Sinaps@ post-seismic survey data-sets Repository webpage of the ARGONET data-sets Repository of data-sets associated to specific studies In the following plots you can see real-time data from ARGONET. Please allow a couple of minutes for the new data to arrive. Use the following buttons to stop and restart the real-time plotting. […]

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The Array & Metadata

Find information about the project architecture here.

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The ARGONET project

The SINAPS@ research program ( aims at exploring the uncertainties inherent in databases, knowledge of the physical processes and methods used at each step of the evaluation of the seismic hazard and the vulnerability of structures and nuclear components, in the context of a safety approach. The main objective is to identify or/and quantify the seismic margins resulting from assumptions or when selecting the level of seismic design, i.e. taking into account the uncertainties in the conservative choice, or design strategy. SINAPS@ project will help to address safety issues highlighted following the Fukushima accident, especially with regard to seismic safety margins. For this purpose, a special 3D accelerometric array (ARGONET) was designed and will be installed in Argostoli-Cephalonia (Greece). Recordings from this array will effectively contribute to understanding of those parameters that define uncertainties in estimating strong ground motion.