Optimal design of marine renewable energy structures requires modeling several coupled phenomena. As a consequence, numerical simulations become expensive and complexe especially in the stochastic framework with uncertainties modeled as random variables. Moreover, compared to other industries, such as aeronautic or shipbuilding, engineers have only few feedbacks. Therefore, mastering all the conception steps and benefiting from the sensor measurements on the structure is of prime concern.
Scientific advances and innovation
- To take into account the different sources of error (modeling error, discretization error) in the computation of probability of failure.
- To develop methods that enable spatial or temporal zooms on critical details for the reliability analysis.
- To update models from sensor measurements to improve its quality.
Expected technical and economic impact
The expected impact of the MUSCAS project is to develop numerical tools in order to consider coupled phenomena in a stochastic framework on complex structures, such as jacket foundations of wind turbine. To use these tools for reliability analysis and for goal-oriented sensor positioning.
Key project milestones
- February 2018 - The project begins
Within MUSCAS, parametric studies on 2-dimensional mechanical problems with random elasticity parameters have shown the influence of the mesh size on the estimation of the probability of failure. The discretization error may not be negligible. A bounding of the probability of failure has been obtained and error maps guiding the remeshing process are available.
A numerical strategy was defined to adapt the finite element discretization while computing the probability of failure using meta-models. The simulations close to the conception point are realized with a high level of precision.
Publications and papers published
- Poster : “A Monitoring Methodology of Bio-Colonisation on Mooring Lines of Floating Wind Turbines” – Benjamin DECUREY, Ludovic MELL, Franck SCHOEFS – Research Institute of Civil Engineering and Mechanics, UMR 6183 CNRS/ECN/UN, Nantes
- Communication at the Congrès français de mécanique (CFM) in Brest in August, 2019 : Prise en compte de l’erreur de discrétisation pour l’estimation de probabilité de défaillance par surface de réponse – Ludovic Mell, Valentine Rey, Franck Schoefs
- Presentation at 11 ème s Journées Fiabilité des Matériaux et des Structures, March 2020 : Méta-modèle de krigeage multi-fidélité pour l’estimation de probabilité de défaillance – Ludovic Mell, Valentine Rey, Franck Schoefs
- Presentation at 11 ème s Journées Fiabilité des Matériaux et des Structures, March 2020 : Stratégie multi-fidélité pour le calcul de probabilité de défaillance des structures – Ludovic Mell, Valentine Rey, Franck Schoefs