Anagrafe della ricerca

Modern society depends on critical lifelines, like electric power and natural gas, telephone and other communication systems, water, wastewaterand transportation systems (roads and highways, rail systems, ports, and airports). Many of these infrastructures are aging and are exposed to different natural hazards (e.g., earthquakes, tusnamis, hurricanes and floods), whose intensity and severity has been increasing in the past years,possibly due to climate change. Resilience has become a relevant attribute to consider in the design for the management of any infrastructure, forensuring the capability of withstanding disruptive events and recovering performance Scenario simulation plays a key role for analysing resilience and informing the investments on prevention, mitigation and recovery. However, itbecomes computationally demanding when exploring the response of the complex Critical Infrastructures (CI) under uncertain disruptive events.Artificial Intelligence (AI) and stochastic simulation can be combined for simulating efficiently the response of an infrastructure exposed to anuncertain disruptive event, under uncertain operational and environmental conditions. The framework of integration of AI and stochastic simulation must perform the: - characterization of the (natural) hazards under climate changing scenarios; - evaluation of the impact and frequency of the hazardous events; - exploration of recovery strategies; - optimization of recovery strategies; - assessment and management of the uncertainties involved. The aim of the project is to develop such framework and the corresponding computational platform (ARISTOTELES), to support designing andmanaging infrastructures. In the project, we focus in particular on the Energy Critical Infrastructures (ECI) for their pivotal role in supporting otherinfrastructures and society as a whole, in a scenario of energy transition.