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MAE Seminar Series: “Progress on the Development of Efficient Methods for Computational Aerodynamic Design Optimization”
April 7, 2023 @ 10:00 am - 11:00 am
Abstract:
The advancement of computing technology in the past couple of decades has led to greatly improved CFD-based prediction tools. In the area of aerodynamic design optimization, adjoint methods have become prevalent in advancing the state of the art. These efforts resulted in efficient frameworks where many design variables must be considered to “optimize” topologies for given aerodynamic quantities of interest. Although many advancements have been made in the area of aerodynamic design optimization, novel computational techniques are still required to be able to apply these methods for practical design. In this talk, we will give a brief overview of the research conducted during the past five years at the University of Tennessee-Knoxville. In particular, we will present a new paradigm (called FDOT) for fully-automated adjoint code development to compute the sensitivities of objective functions (that can be defined on the fly) to many design variables.
Tune in at 10 a.m. Friday, April 7, 2022 to watch live.
Bio:
Kivanc Ekici is currently the Department Head and John W. Fisher Professor in the Mechanical, Aerospace and Biomedical Engineering at the University of Tennessee-Knoxville. His research interests cover a wide-range of topics including CFD modeling, development of novel and efficient solution techniques, unsteady aerodynamics and aeroelasticity, rotorcraft aerodynamics, turbomachinery, wind turbine aeromechanics and adjoint-based design optimization. During the past two decades, his group developed many novel techniques including unsteady aerodynamic modeling based on the time-spectral (TS) harmonic balance (HB) technique as well as fully-automated adjoint sensitivity analysis. At UT, his research group focused on HB-based aeroelastic design optimization, the development of the state-of-the-art one-shot aeroelastic modeling technique, and operator-overloading-based adjoint methods, to name a few. Dr. Ekici is the recipient of the NSF CAREER Award and he has been a PI/Co-PI for multiple projects during his tenure at UT. He earned his PhD degree in Aeronautics and Astronautics from Purdue University.
