@inproceedings{f7416f96757244539592025ec2fd9a8d,
title = "A weighted least squares approach for the design of adaptive aerodynamic structures subjected to an out-of-plane transformation",
abstract = "An optimal design framework for adaptive wind turbine blades is presented. A mathematical framework establishes the topology of actuators and material compliance. These parameters are selected to adapt the blade twist distribution into a range of prescribed blade configurations. Our previous work established the ideal twist distribution configurations. The distributions improve the aerodynamic efficiency for a range of wind speeds in which the system operates at partial production. Within this range the nonlinear blade twist distribution changes in relation to the speed. The possibility of producing adaptively compliant structures is becoming increasingly possible with innovative materials and additive manufacturing (AM) processes. Our overarching goal is to create a comprehensive design infrastructure that integrates manufacturing and materials innovation with the complex needs of adaptive structures. This work proposes a method through which the ideal twist distribution can be actualized in structural implementation. The implementation involves a modular blade composed of flexible sections whose twist is modulated by actuators along the blade. Each flexible blade section is composed of two contiguous segments, each with a different torsional stiffness defined by a stiffness ratio. The stiffness variation within each section allows the blade to assume a nonlinear twist distribution when actuated. Errors relative to an ideal twist distribution are minimized by optimizing the stiffness ratios and twist actuator locations. The optimization is completed using a weighted least squares approach that allows the blade designer to bias blade performance toward different operating conditions. A quadratic weighting scheme that penalizes twist errors toward the blade tip is found to result in a higher power coefficient than other weighting schemes.",
keywords = "Adaptive blade, Data-driven design, Design automation, Design optimization, Engineered structure, Least squares optimization, Shape optimization, Variable twist angle, Wind energy conversion",
author = "Fuzhao Mou and Nejadkhaki, \{Hamid Khakpour\} and Aaron Estes and John Hall",
note = "Publisher Copyright: Copyright {\textcopyright} 2018 ASME; ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2018 ; Conference date: 26-08-2018 Through 29-08-2018",
year = "2018",
doi = "10.1115/DETC201886101",
language = "English",
series = "Proceedings of the ASME Design Engineering Technical Conference",
publisher = "American Society of Mechanical Engineers (ASME)",
booktitle = "44th Design Automation Conference",
address = "United States",
}