Early Stage Researcher
Trinity College Dublin (Ireland)

Project 4: Probabilistic optimization of the design of offshore wind turbine towers

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Research Interests:

Marine renewable energy; Fluid mechanics; Offshore platforms and structures; Structural reliability analysis; Numerical modelling; Mooring systems

Biography:

Rui Teixeira holds both a BSc and MSc degree in Mechanical Engineering from the University of Porto. In the past three years he worked at INEGI, a research institute born in the Faculty of Engineering (FEUP), where he participated in several projects that involved competencies in the maritime engineering field ranging from the value chain characterization to the numerical modelling. A substantial focus of its activity during this time was on marine renewable energy (MRE) with special emphasis in the numerical modelling of MRE harnessing devices. Examples are the numerical analysis of MRE floating platforms and support to the installation, the dynamic and structural improvement, and investigation of low power MRE integration for a new concept of monitoring buoy.

In September 2015, he joined TRUSS ITN where he is working in the probabilistic analysis of offshore wind turbine towers.

Research Outputs:

  • Teixeira R., Ferreira J.P. , Morais T. and Correia N. (2015), “Wave dynamics of new spar GRP buoy concept to measure offshore wind in deep waters”, in Proceedings of 3rd edition EWEA’s technology workshop on wind Resource Assessment, Helsinki, Finland. External link to full text
  • da Rocha B., Teixeira R., Morais T. and Sarmento A. (2014), “Observatório tecnológico para as energias offshore, Uma descrição do Projeto OTEO”, CLME, Moçambique.

Publications in TRUSS

Offshore wind energy experienced an exponential growth in installed power since the beginning of the current century. While this growing trend is expected to continue, further growth of the sector imposes more demanding engineering methods. It is then envisaged that enhanced technical competitiveness can be achieved through a progressively less deterministic design process. Under the described context, a comparative study on the applicability of different probabilistic methods to estimate the probability of failure (Pf) of offshore wind turbine (OWT) towers under extreme events is presented here. Depending on the complexity introduced in the analysis of the OWT towers the applicability of different probabilistic approaches may be limited. FORM, SORM, Monte Carlo Simulation are examples of well-established methodologies to estimate Pf. Nevertheless, alternative methodologies such as the directional simulation can be an even more efficient solution for the problem. This preliminary assessment of the probabilistic approaches enables further developments in reliability methodologies for the specific case of OWT towers.

Link to full text in repository