A study of Stall-Induced Vibrations using Surrogate-Based Optimization
نویسندگان
چکیده
Stall-Induced Vibrations (SIV) are an important design consideration for wind turbine blade design, especially large, modern, turbines with highly flexible blades. Their severity depends on both the inflow and structural characteristics of Studying SIV has a high computational cost, because it requires high-fidelity aeroelastic simulations, potentially large number input variables. In effort to reduce cost domain exploration, in this work we have adopted Surrogate-Based Optimization (SBO) framework. This way, combination variables that lead can be explored minimum simulations. The proposed SBO framework use any type surrogate model, leverages Delaunay triangulation iteratively select samples refine model. occurrence IEA 10MW is studied five space consisting of: speed, yaw angle, vertical shear, veer, atmospheric temperature. A well-trained model developed used predict damping ratio first edgewise mode entire at reduced cost. Sensitivity analysis predicted shows angle most influential variable, while temperature least variable terms conditions SIV. Inflow moderate (around 10–25 deg), speeds, negative veer found severe study should serve as guiding tool decide scope more computationally expensive simulations such CFD-based which provide accurate description
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ژورنال
عنوان ژورنال: Renewable Energy
سال: 2023
ISSN: ['0960-1481', '1879-0682']
DOI: https://doi.org/10.1016/j.renene.2023.05.054