A procedure for assessing and monitoring the response of critical infrastructures when subjected to natural hazards is proposed in this paper, with a particular focus on bridges and viaducts, which are very peculiar and strategic assets of transport networks. The proposed procedure is characterized by three levels of analysis (L1–L3) with increasing reliability and complexity. The first level of analysis (L1) is carried out by evaluating a Class of Attention in line with the approach that is proposed by the Italian Guidelines for the safety assessment of bridges. The second level (L2) of analysis requires the definition of a numerical model of the bridge. The third level (L3) of analysis relies on the seismic response data from a seismic monitoring network. For all the three levels of the proposed procedure, data are collected in the CIPCast Decision Support System (CIPCast-DSS), a WebGIS platform developed by ENEA to support the decision-making process related to risk prevention and the management of impacts induced by natural hazards on critical infrastructures. The real-time analysis of the data collected and processed in the CIPcast-DSS in post-disaster circumstances provides a quasi-real-time prediction of the impacted infrastructures, and the extent of damages they could have suffered before a local inspection and analysis could take place. The continuous static and dynamic monitoring in periods without seismic events enables the planning of preventive and effective maintenance interventions.

Buffarini, G., Clemente, P., Giovinazzi, S., Ormando, C., Pollino, M., Rosato, V. (2022). Preventing and Managing Risks Induced by Natural Hazards to Critical Infrastructures. INFRASTRUCTURES, 7(6) [10.3390/infrastructures7060076].

Preventing and Managing Risks Induced by Natural Hazards to Critical Infrastructures

Ormando C.;
2022-01-01

Abstract

A procedure for assessing and monitoring the response of critical infrastructures when subjected to natural hazards is proposed in this paper, with a particular focus on bridges and viaducts, which are very peculiar and strategic assets of transport networks. The proposed procedure is characterized by three levels of analysis (L1–L3) with increasing reliability and complexity. The first level of analysis (L1) is carried out by evaluating a Class of Attention in line with the approach that is proposed by the Italian Guidelines for the safety assessment of bridges. The second level (L2) of analysis requires the definition of a numerical model of the bridge. The third level (L3) of analysis relies on the seismic response data from a seismic monitoring network. For all the three levels of the proposed procedure, data are collected in the CIPCast Decision Support System (CIPCast-DSS), a WebGIS platform developed by ENEA to support the decision-making process related to risk prevention and the management of impacts induced by natural hazards on critical infrastructures. The real-time analysis of the data collected and processed in the CIPcast-DSS in post-disaster circumstances provides a quasi-real-time prediction of the impacted infrastructures, and the extent of damages they could have suffered before a local inspection and analysis could take place. The continuous static and dynamic monitoring in periods without seismic events enables the planning of preventive and effective maintenance interventions.
2022
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ICAR/09
English
critical infrastructures
managing of natural risks
natural risk prevention
structural health monitoring
Buffarini, G., Clemente, P., Giovinazzi, S., Ormando, C., Pollino, M., Rosato, V. (2022). Preventing and Managing Risks Induced by Natural Hazards to Critical Infrastructures. INFRASTRUCTURES, 7(6) [10.3390/infrastructures7060076].
Buffarini, G; Clemente, P; Giovinazzi, S; Ormando, C; Pollino, M; Rosato, V
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/369244
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