Project description DEENESFRITPL New insights into offshore energy infrastructure resilience Offshore energy infrastructure (OEI) undergoes significant structural deformation and foundation rotation during seismic submarine landslides (SSL), creating challenges in predicting OEI performance. The commonly used conservative pseudo-static method could prove overly conservative/unconservative in specific situations (during SSL) when assessing potential damage to OEI. Moreover, the dynamic approach can be both time-consuming and costly. The MSCA-funded PRO-SLIDE project aims to develop a solution for evaluating the resilience of OEI that has sustained damage from SSL. It will leverage advanced techniques such as numerical models, machine learning, and probabilistic/fragility analyses to provide guidance for future analyses. The project will rely on a series of centrifuge tests and a comprehensive database generated through advanced numerical analyses of the OEI-SSL interaction mechanism. Show the project objective Hide the project objective Objective 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. Fields of science natural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencesmathematicsapplied mathematicsnumerical analysis Keywords Offshore energy infrastructure Earthquake Landslide Deformation predictive model Fragility function Resilience assessment Programme(s) HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme Topic(s) HORIZON-MSCA-2022-PF-01-01 - MSCA Postdoctoral Fellowships 2022 Call for proposal HORIZON-MSCA-2022-PF-01 See other projects for this call Funding Scheme HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships Coordinator AALBORG UNIVERSITET Net EU contribution € 214 934,40 Address FREDRIK BAJERS VEJ 7K 9220 Aalborg Denmark See on map Region Danmark Nordjylland Nordjylland Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost No data Partners (2) Sort alphabetically Sort by Net EU contribution Expand all Collapse all HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY Hong Kong Net EU contribution € 0,00 Address CLEAR WATER BAY KOWLOON 999077 Hong Kong See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost No data ROYAL MELBOURNE INSTITUTE OF TECHNOLOGY*RMIT UNIVERSITY Australia Net EU contribution € 0,00 Address LA TROBE STREET 124 3001 Melbourne See on map Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost No data
