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Seismic Risk Reduction and Adaptation for Complex Time-Dependent Industrial Systems

Project description

A new era of resilience against natural disasters

Adapting to the increasing threat of natural hazards is one of today’s most pressing societal challenges. Seismic risk reduction and the adaptation of complex industrial facilities are vital for the EU’s green transition. Yet, existing policies often rely solely on static risk analyses, overlooking temporal and spatial interactions. Supported by the Marie Skłodowska-Curie Actions (MSCA) programme, the REACTIS project will develop an integrated uncertainty quantification-based approach to seismic risk reduction and adaptation. By delving into the stochastic dynamics of industrial facilities under time-variant seismic hazards, REACTIS aims to revolutionise risk analysis. From single-node systems to real-world industrial networks, the project uses spatial statistics and graph theory to map vulnerabilities and formulate adaptive strategies.

Objective

Adapting to the increasing threat of natural hazards is one of the most pressing current societal issues. Specifically, seismic risk reduction and adaptation of complex intertwined industrial facilities are keys for an effective EU green transition. Nevertheless, the most common policies still rely only on static risk analyses, neglecting temporal and spatial interactions.
In fact, no one has yet tackled the critical aspect of industrial system adaptation, accounting for the dynamics of the hazard, of the system itself and its recovery processes. This comes with no surprises, as system adaptation is a highly complex stochastic process, deeply rooted into the future, where uncertainties at all levels play a crucial role.
This critical research gap is filled with the “Seismic Risk Reduction and Adaptation for Complex Time-dependent Industrial Systems” (REACTIS) project, which is the first integrated uncertainty quantification (UQ)-based methodology that aims to solve these open questions.
The project will examine the stochastic dynamics of the performance of industrial facilities subjected to time-variant seismic hazards. In particular, the recovery processes of the systems will be deepened and treated from a UQ and stochastic dynamics perspective.
Building upon preliminary collaboration, the project will focus on the stochastic dynamics and recovery of a single 1-node system. Then, a real-world complex industrial case study will be deployed. Leveraging concepts from spatial statistics and graph theory, the intertwined network topology of the industrial system will be mapped. Specifically, the evolution of the dynamics of the system will be extended to a m-nodes, initially deterministic, then random, network configuration. Finally, our research will encompass an in-depth analysis of seismic risk and adaptation strategies formulation. This effort aims to identify the criticalities and vulnerabilities within the industrial system networks.

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

UNIVERSITA DEGLI STUDI DI TRENTO
Net EU contribution
€ 297 164,16
Address
VIA CALEPINA 14
38122 Trento
Italy
Region
Nord-Est Provincia Autonoma di Trento Trento
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Partners (1)