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CORRASBlue

Coastal Corrosion Risk Management through Digital twin model for a Sustainable Blue Economy

Key facts

Status: ongoing

Duration:
1 Jan 2026 - 31 Dec 2028

Theme:
Digital Twin of the Ocean

Contact

Email address:
Email ➝

Description

CORRASBlue aims to deliver a cross-sectoral digital platform to the marine and maritime industries by 1) maximizing materials sustainability, 2) minimizing corrosion-associated environmental and ecological risks, 3) providing decision makers and industry a ‘winwin’ approach for infrastructure management and control, and 4) producing a flexible, longterm data-integration system for future innovative developments.

The CORRASBlue consortium encompasses multi-disciplinary and cross-sectoral experts across 10 countries and 3 sea basins (Atlantic Ocean, Mediterranean Sea, and North Sea). We have gathered a significant number of experts across research, industry, and policymaking sectors with the aim to de-fragmentalize the current landscape of corrosion management and drive the innovation needed to advance sustainability of our knowledgebased society and economy and to meet the EU Green Deal and future EU Blue Deal targets.
The main objective of CorrasBLUE is to develop a novel Coastal Corrosion Risk Management (CCRM) digital twin that will integrate holistic sensor measurements, corrosion state, and mitigator effectiveness to enhance corrosion management, enabling comprehensive monitoring and maintenance strategies to safeguard marine infrastructure and ecosystem health. The project will be divided in to 4 main phases:

  • Phase 1: Data fusion by gathering and integrating data from various sources including sensors, published data, non-disclosed stakeholder data
  • Phase 2: Model development using cleansed data from phase 1 and produced real-time complimentary data
  • Phase 3: Model recalibration, optimization and validation of predictive analytics for corrosion management
    Phase 4: Final dissemination, model deployment and commercialization

The consortium has extensive experience with application of machine learning techniques from disciplinary data analysis. Several partners (academic and industry) in the consortium have strong internal collaborators specialising on method development for machine learning and artificial intelligence, which will be used in daily discussions. The female-led consortium consists of 12 interdisciplinary research institutions and 8 companies as partners, including 6 SMEs and 5 corporate partners joining the consortium with in-kind contributions. In addition, BAM (DE) is a senior scientific and technical Federal institute with responsibility to the German Federal Ministry for Economic Affairs and Climate Action and gives direct input to authorities on materials-related questions in relation to policy making and regulation. Overall, 8 female and 12 male senior experts will be involved including 7 postdocs, 11 masters students, 7 engineers, and 10 early-stage researchers. The state-of-the-art corrosion prevention strategies produced from this project will reduce failures and related emission, thus benefit the marine ecosystem and indirectly safety of sea food and the marine environment.

Coordinator: Norwegian Research Centre (NORCE), Norwegian, Norway

Partners: 

  • Norges TekniskNaturvitenskapelige Universitet NTNU, NTNU, Norway
  • Bundesanstalt für Materialforschung und – prüfung, BAM, Germany
  • IA University College, VIA, Denmark
  • FCiências.ID - Associação para a Investigação e Desenvolvimento de Ciências, FC.ID, Portugal
  • Faculty of Mechanical Engineering, University of Ljubljana, Slovenia
  • ISE AB, RISE AB, Sweden
  • Duzce University, Türkiye
  • Istanbul University, Istanbul U, Türkiye
  • Delft University of Technology, TUD, Netherlands
  • WavEC Offshore Renewables, WavEC, Portugal
  • Corrosion Advice ApS, Denmark
  • La Rochelle Université, France
  • Institut de la Corrosion SASU, IC, France
     

    Self-funded Partners:

  • CORRODYS, CORRODYS, France
  • Endures B.V., Endures, Netherlands
  • MetriCorr ApS, Denmark
  • Fibrobeton Yapı Elemanları
  • Sanayi ve İnşaat A.Ş., Fibrobeton, Türkiye
  • Microbial Analysis, Microbial, Netherlands
  • Erevnitiko Idrima P. L., UNRF, Cyprus