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PRO-SLIDE

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Probabilistic decision framework for Resilience assessment of Offshore energy in...

Probabilistic decision framework for Resilience assessment of Offshore energy infrastructures subjected to seismic Submarine landsLIDE hazard (PRO-SLIDE) The offshore energy infrastructure (OEI)-soil interaction has been studied by numerical analyses in the literature. However, these studies are rarely focused on the performance of OEIs during the seismic submarine landslide (SSL).... ver más

30/11/2025

AAU

215K€

Presupuesto del proyecto: 215K€

Líder del proyecto

AALBORG UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

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Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-07-25

HORIZON-MSCA-2022-PF-01-01: MSCA Postdoctoral Fellowships 2022 ExpectedOutcome:

I+D

Cerrada hace 2 años

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5 Participantes

AAU

214.93K€ | Lider

HONG KONG UNIVERSITY OF SCIE...

ROYAL MELBOURNE INSTITUTE OF...

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Duración del proyecto: 28 meses Fecha Inicio: 2023-07-25
Fecha Fin: 2025-11-30

Líder del proyecto

AALBORG UNIVERSITET No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 215K€

Descripción del proyecto The offshore energy infrastructure (OEI)-soil interaction has been studied by numerical analyses in the literature. However, these studies are rarely focused on the performance of OEIs during the seismic submarine landslide (SSL). Moreover, the pseudo-static approach employed for stability assessment of OEI is generally conservative for deep water conditions. The dynamic approach needs a wide range of input parameters and spends a lot of time and money on analyses. Accordingly, predictive models are needed to fill the gap between these approaches for a simple prediction of OEI deformations during SSL. The overall objective of PRO-SLIDE is to develop a reliable and low computational cost solution for simplified resilience assessment of OEIs damage due to SSLs. Answering this concern is not trivial, but it can guide future analyses and contribute to gaining insights from a calibration effort using numerical models that will be undertaken using a benchmark centrifuge model that can successfully capture key mechanisms and features as well as trends. The findings will be based on a database produced via advanced numerical analyses of the OEI-SSL mechanism using the DEM-FEM, a catalog of near-fault ground motions, machine learning technic, and probabilistic/fragility analyses. A two-way transfer of knowledge is guaranteed since I have a solid background in the development of earthquake-induced sliding models and ground motions databank and also my supervisor at AAU has vast experience in the resilience assessment of OEIs and data-driven models. Moreover, my supervisors at secondments (RMIT&HKUST) have great experience in the fields of OEI numerical simulation and physical modeling. Accordingly, this will ensure the achievement of this timely and innovative project as well as the dissemination and exploitation of the expected results. The acquired skills will allow me to embrace an academic/non-academic career path in the EU.

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