A data-driven framework towards sustainable reuse of decommissioned petroleum platforms as support structures for wind energy production

Informazioni relative al progetto

DeP2WIND

ID dell’accordo di sovvenzione: 101061320

DOI

10.3030/101061320

Progetto chiuso

Data della firma CE 20 Settembre 2022

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 210 911,04

Coordinato da

OSLOMET - STORBYUNIVERSITETET
Norway

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I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Pubblicazioni

Peer reviewed articles (2)

Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables

Autori: Alejandro Jimenez Rios, Mohamed El Amine Ben Seghier, Vagelis Plevris, Jian Dai
Pubblicato in: Results in Engineering, Numero 23, 2025, ISSN 2590-1230
Editore: Elsevier BV
DOI: 10.1016/J.RINENG.2024.102723

A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data

Autori: Mohamed El Amine Seghier Ben, Tam T. Truong, Christian Feiler, Daniel Höche
Pubblicato in: Results in Engineering, Numero 25, 2025, ISSN 2590-1230
Editore: Elsevier BV
DOI: 10.1016/J.RINENG.2025.104417