An Aerostructural 3D wing optimization using parallel genetic algorithms

Download
2019
Arpacı, Anıl
As a multi-disciplinary optimization problem, aerostructural shape optimization of airplane wings requires both aerodynamic and structural analysis to meet an objective defined as the sum of parameters like drag to lift ratio and wing weight, subjected to penalty of structural yield stress and geometrical sizing constraints to get aerodynamically efficient and lightweight 3D wings. In our study, genetic algorithms are utilized for optimization of 3D wing with its internal structural components. In order to optimize an airplane wing with genetic algorithms, parametric automated geometry and mesh generator is developed. Since automation and aerostructural analysis increase the complexity of the fitness calculation, utilization of parallelism for genetic algorithms becomes crucial. This thesis proposes an aerostructural 3D wing optimization tool using different models of parallel genetic algorithms. Moreover, the results of these models are discussed in the scope of this study.

Suggestions

Optimization of types, numbers and locations of sensors and actuators used in modal analysis of aircraft structures using genetic algorithm
Pedramasl, Nima; Şahin, Melin; Acar, Erdem; Department of Aerospace Engineering (2017)
Aircraft structures are exposed to dynamic loads under service conditions and therefore, it is necessary to determine their dynamic characteristics. Dynamic characteristics of a structure can be determined using simulation-based methods such as finite element analysis (FEA) or test-based methods such as experimental modal analysis (EMA). In order to perform an EMA with reliable and high quality results, test equipment must be lightweight and have high accuracy. In addition, the sensors and actuators must be...
Evolutionary topology optimization of a folding missile wing for stiffness and frequency
Ürün, Ata; Şahin, Melin; Gürses, Ercan; Department of Aerospace Engineering (2023-1-25)
This thesis presents a study on the topology optimization of a folding wing structure for a cruise missile with the aim of minimizing the weight of the wing while maximizing its stiffness and/or maximizing the selected natural frequency values. The weight of the folding wing has a significant impact on the performance of the opening mechanism and the overall dynamic behavior of the missile. The Bidirectional Evolutionary Structural Optimization (BESO) method, a widely-used topology optimization technique, i...
A parallel aerostructural shape optimization platform for airplane wings
Oktay, Erdal; Arpacı, Anıl; Şehitoğlu, Onur Tolga; Akay, Hasan Umur (null; 2019-05-17)
A parallel design platform is developed for aerostructural shape optimization of airplane wings. The developed tools consist of a panel method-based aerodynamic solver, a finite element-based structural solver, geometry and mesh generation modules and a parallel genetic algorithm optimizer, with emphasis given to automation and fast solutions
Three-dimensional structural topology optimization of aerial vehicles under aerodynamic loads
Oktay, Erdal; AKAY, HASAN UMUR; Şehitoğlu, Onur Tolga (2014-03-20)
A previously developed density distribution-based structural topology optimization algorithm coupled with a Computational Fluid Dynamics (CFD) solver for aerodynamic force predictions is extended to solve large-scale problems to reveal inner structural details of a wing wholly rather than some specific regions. Resorting to an iterative conjugate gradient algorithm for the solution of the structural equilibrium equations needed at each step of the topology optimizations allowed the solution of larger size p...
Dynamical modeling of the flow over flapping wing by applying proper orthogonal decomposition and system identification
Durmaz, Oğuz; Kurtuluş, Dilek Funda; Kasnakoğlu, Coşku; Department of Aerospace Engineering (2011)
In this study the dynamical modeling of the unsteady flow over a flapping wing is considered. The technique is based on collecting instantaneous velocity field data of the flow using Particle Image Velocimetry (PIV), applying image processing to these snapshots to locate the airfoil, filling the airfoil and its surface with proper velocity data, applying Proper Orthogonal Decomposition (POD) to these post-processed images to compute the POD modes and time coefficients, and finally fitting a discrete time st...
Citation Formats
A. Arpacı, “An Aerostructural 3D wing optimization using parallel genetic algorithms,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Computer Engineering., Middle East Technical University, 2019.