An accurate assessment of both the health conditions of the linear transport infrastructures, such as roads and railways and the surrounding environmental features, stands as a crucial task for assuring the required safety, functionality and resilience standards over time.
Typically, the evaluation of the asset resilience against major natural or human-caused events (i.e. exogenous occurrences) is conducted separately from the monitoring of the decay of safety and strength properties over time (i.e. endogenous events), which is rather related to maintenance purposes.
However, the progressive contraction of the funds allocated on maintenance and prevention, together with the present lack of advanced technologies suitable for sufficiently accurate network-scale analyses, result in an overall limitation to the effectiveness of both the assessment activities.
This project aims at evaluating the best methodological approach for achieving a comprehensive knowledge about the assets’ conditions at the network-scale, with particular concern to its resilience to both exogenous and endogenous occurrences.
Specifically, the proposed methodology is based on a data-fusion platform capable of integrating dataset collected through space-borne, air-borne and ground-launched sensing devices.
Pietro Leandri, Massimo Losa, Gabriella Caroti, Andrea Piemonte, Nicholas Fiorentini
Università degli Studi ROMA TRE
Università degli Studi di ROMA “Tor Vergata”
Università degli Studi di Salerno
PRIN: PROGETTI DI RICERCA DI RILEVANTE INTERESSE NAZIONALE – Bando 2017