Offshore infrastructures are particularly exposed to harsh environmental conditions where both actions and resistances are highly uncertain. A safe design needs to account for these uncertainties by adopting partial safety factors combined with extreme load conditions.

The values suggested in current offshore standards and guidelines address these uncertainties under consideration of the consequences of a failure on life and environment. While these values are intended and acceptable for infrastructures related to hydrocarbon production and transport where each structure represents a prototype, more robust and optimally designed infrastructures are desired in the renewable energy industry such as offshore wind.

In order to enable an affordable energy transition by optimising the design of the required offshore infrastructure, an accurate quantification of the uncertainties under consideration of the design requirements, as well design methods that explicitly account for site-specific uncertainties are crucial.

This special issue shall present the state of knowledge with respect to assessing, quantification and consideration of the inherent uncertainties in the design of foundations for offshore infrastructures. Although the main focus is on renewable energy, articles addressing the knowledge and experience gained from other types of offshore infrastructures are welcome.

Subject areas include, but are not limited to:

  • Geophysical and Geotechnical Site Investigation and Design Parameter Interpretation
  • Ground Models
  • Design Methodologies
  • Integrated Reliability-based Design including Load Actions
  • Structural Health Monitoring and Digital Twinning

Timeline

  • 1 April 2022 - Call for papers
  • 30 June 2022 - Confirmation of corresponding authors and paper titles
  • 31 October 2022 – Deadline for submission of full paper
  • 30 April 2023 - Decision of all papers

Guest editors or the Special Issue of Georisk

  • Farrokh Nadim, NGI (Norwegian Geotechnical Institute)
  • Hendrik Sturm, DNV
  • Jie Zhang, Tongji University
  • Jinhui Li, Harbin Institute of Technology