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Closed for application
C39.CU3.20

Real Time Risk Analysis to Decision Support System for Critical Infrastructures’ resilience

  • Reference person
    Mara
    Lombardi
    mara.lombardi@uniroma1.it
  • Host University/Institute
    Università of Rome La Sapienza
  • Internship
    Y
  • Research Keywords
    Real Time Quantitative Risk Analysis
    Critical Infrastructures Resilience
    Decision Support System
  • Reference ERCs
    PE8_3 Civil engineering, architecture, offshore construction, lightweight construction, geotechnics
    PE8_11 Environmental engineering, e.g. sustainable design, waste and water treatment, recycling, regeneration or recovery of compounds, carbon capture & storage
    PE7_3 Simulation engineering and modelling
  • Reference SDGs
    GOAL 9: Industry Innovation and Infrastructure
    GOAL 11: Sustainable Cities and Communities
    0
  • Studente
  • Co-Supervisor

Description

Resilience is related to the issues of risk management, territorial vulnerability, sustainability, specifically applied to Critical Infrastructures (CIs) due to the greater risk and greater energy consumption associated with them. The aim to ensure the balance of the infrastructure through the integrated system services and its external effects determines a better assessment of the consequences induced by the interconnection with other systems. This meets the target of risk assessment and management of the CIs. The research activity investigates systemic solutions (Systems and Technologies) aimed at an overall protection of CIs through a holistic approach implemented by means both data acquisition and modeling integrated system and finalized to define the algorithm of Decision Support System. Real time risk assessment is addressed to different levels: from single asset of Critical Infrastructure to surrounding territory, with focus on interdependencies and domino effects, considering emerging natural and anthropic risks. The aim is to design the adaptive response of the infrastructure in order to minimize the effect of hazards and manage residual risks by monitoring and verifying the compliance based on acceptability criterion. The implementation of a model based on As Low as Reasonably Practicable (ALARP) criterion for risk management is developed to carry out a quantitative Cost-Benefit Analysis (CBA) for evaluating the sustainability of maintenance actions.

Suggested skills:

Required skills for successful conduct of the proposed research are: - Master’s degree in safety engineering, civil engineering or similar- Knowledge of programming languages.- Knowledge of technical mechanics, numerical optimization and machine learning.- Strong interest in independently investigating scientific issues - Willingness to work and cooperate with interdisciplinary team- Ability to convey and share ideas and information clearly and concisely with all one's interlocutors.

Research team and environment

The research team, which integrates different skills, is inter-departmental and carry out study and research activities within specific thematic areas related to real time risk analysis to evaluate territorial resilience quantitative indicators specifically.This activity develops single and multi-criteria strategies for risk reduction based on actions of strengthening, and optimization of information management, integrated models, rationalization of process control and databases, assessment based on the ALARP criterion. The main topics concern Fire Safety Engineering, geostatistical modeling, RAMS approach, risk analysis of complex systems, safety of road and rail critical infrastructures.