Software

OOFIMS (Object-Oriented Framework for Infrastructure Modelling and Simulation)

Take also a look at the official website (Sapienza - University of Rome)

OOFIMS was initially developed within the SYNER-G (2009-2013) collaborative research project, funded by the European Commission within the Seventh Framework Programme (FP7, 2007–2013), under grant agreement No. 244061.

Mainly developed at Sapienza - University of Rome by Prof. Paolo Franchin and Dr. Francesco Cavalieri, OOFIMS was also contributed by several researchers of different institutions involved in SYNER-G, including. Prof. Iunio Iervolino (University of Naples Federico II), Dr. Simona Esposito (former University of Naples Federico II), Dr. Pierre Gehl (Bureau de Recherches Géologiques et Minières, BRGM), and Dr. Graeme Weatherill (former Global Earthquake Model, GEM, Foundation).

Exploiting the object-oriented programming (OOP) capabilities of MATLAB®, OOFIMS is able to model and analyse by simulation the performance of interdependent systems composing a critical infrastructure, at the urban or regional scale, in ordinary or "disturbed" conditions. In the current version, the disturbance can be caused by the impact of an earthquake or flooding (pluvial or fluvial).

A critical infrastructure can be considered as a system of systems (SOS), or in other words, a super-system that contains a number of systems and constitutes the physical layer supporting the built environment. Under a spatial/topological perspective, the systems that compose an infrastructure can be classified as:

• Point-like systems, like health-care facilities and power plants: these are single-site critical facilities with paramount importance for the functionality of the infrastructure, which deserve a detailed treatment;

• Line-like systems, including the utilities or lifelines like power, water, gas and transportation networks: these are spatially distributed systems comprising a number of vulnerable edges (e.g. pipes) and point-like sub-systems (e.g. electrical substations) in their nodes, characterised by strong intra- and interdependencies;

• Area-like systems: this category is employed to model large populations of residential, commercial and industrial buildings, which are treated not individually, but in “statistical terms”, as building groups. 

OOFIMS allows for a multi-hazard assessment of vulnerability, risk and resilience of a critical infrastructure. The tool has been recently upgraded for an infrastructure-specific evaluation of building downtime due to earthquake-induced utility disruption.

Main references:

1. Cavalieri, F. (2023). Infrastructure-specific evaluation of building downtime due to earthquake-induced utility disruption. International Journal of Disaster Risk Reduction, 95, 103875. DOI: https://doi.org/10.1016/j.ijdrr.2023.103875.

2. Cavalieri, F., Franchin, P., Giovinazzi, S. (2023). Multi-hazard assessment of increased flooding hazard due to earthquake-induced damage to the natural drainage system. Reliability Engineering & System Safety, 237, 109348. DOI: https://doi.org/10.1016/j.ress.2023.109348.

3. Cavalieri, F., Franchin, P. (2020). Seismic Risk of Infrastructure Systems with Treatment of and Sensitivity to Epistemic Uncertainty. Infrastructures, 5(11), 103. DOI: https://doi.org/10.3390/infrastructures5110103.

4. Cavalieri, F. (2020). Seismic risk assessment of natural gas networks with steady-state flow computation. International Journal of Critical Infrastructure Protection, 28, 100339. DOI: https://doi.org/10.1016/j.ijcip.2020.100339.

5. Gehl, P., Cavalieri, F., Franchin, P. (2018). Approximate Bayesian Network Formulation for the Rapid Loss Assessment of Real-World Infrastructure Systems. Reliability Engineering & System Safety, 177, 80-93. DOI: 10.1016/j.ress.2018.04.022. (Link)

6. Cavalieri, F., Franchin, P., Giovinazzi, S. (2016). Earthquake-altered flooding hazard induced by damage to storm water systems. Sustainable and Resilient Infrastructure, 1(1-2), 14-31. DOI: 10.1080/23789689.2016.1178560. (Link)

7. Esposito, S., Iervolino, I., d’Onofrio, A., Santo, A., Cavalieri, F., Franchin, P. (2015). Simulation-Based Seismic Risk Assessment of Gas Distribution Networks. Computer-Aided Civil and Infrastructure Engineering, 30(7), 508–523. DOI: 10.1111/mice.12105. (Link)

8. Franchin, P., Cavalieri, F. (2015). Probabilistic Assessment of Civil Infrastructure Resilience to Earthquakes. Computer-Aided Civil and Infrastructure Engineering, 30(7), 583–600. DOI: 10.1111/mice.12092. (Link)

9. Cavalieri, F., Franchin, P., Buriticá Cortés, J.A.M., Tesfamariam, S. (2014). Models for Seismic Vulnerability Analysis of Power Networks: Comparative Assessment. Computer-Aided Civil and Infrastructure Engineering, 29(8), 590-607. DOI: 10.1111/mice.12064. (Link)

10. Cavalieri, F., Franchin, P., Gehl, P., Khazai, B. (2012). Quantitative assessment of social losses based on physical damage and interaction with infrastructural systems. Earthquake Engineering and Structural Dynamics, 41(11), 1569-1589. DOI: 10.1002/eqe.2220. (Link)

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