Echeverría Durá, FernandoMallor Giménez, FermínSan Miguel, Unai2019-07-012019-07-0120181742-659610.1088/1742-6596/1037/4/042014https://academica-e.unavarra.es/handle/2454/33539Trabajo presentado a la 7th Conference on Science of Making Torque from Wind (TORQUE). Milán, 20-22 de junio de 2018.The approach of designing blades as a multi-disciplinary, holistic optimisation implies significant challenges owing to the high complexity of the involved factors such as aerodynamics, elasticity, controller and loads. Moreover, the large number of design variables complicates the intuitive analysis of the relationship between the design variables and responses. This paper presents the design variable exploration prior to blade optimisation, which reveals certain design variable combinations that lead to undesirable dynamic load amplification. Statistical tools, such as multiple logistic regression and fast and frugal decision trees, are applied to identify the conditions causing the phenomenon and predict the possible appearance under new design variable combinations.9 p.application/pdfengContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.BladesDesignOptimisationinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess