scholarly journals A Study on the Structural Optimum Design Method of Composite Rotor Blade Cross-Section using Genetic Algorithm

2013 ◽  
Vol 41 (4) ◽  
pp. 275-283 ◽  
Author(s):  
You-Jin Won ◽  
Soo-Yong Lee
Keyword(s):  
Genetic Algorithm ◽  
Optimum Design ◽  
Cross Section ◽  
Rotor Blade ◽  
Design Method

Optimum design method for simplified model of outrigger and ladder systems in tall buildings using genetic algorithm

Structures ◽  
2020 ◽  
Vol 28 ◽  
pp. 2467-2487
Author(s):  
Wael Alhaddad ◽  
Yahia Halabi ◽  
Hani Meree ◽  
Zhixiang Yu
Keyword(s):  
Genetic Algorithm ◽  
Optimum Design ◽  
Design Method ◽  
Tall Buildings ◽  
Simplified Model

Aerodynamic Design for Wind-Lens Turbine Using Optimization Technique

2013 ◽  
Author(s):  
Nobuhito Oka ◽  
Masato Furukawa ◽  
Kazutoyo Yamada ◽  
Kota Kido
Keyword(s):  
Genetic Algorithm ◽  
Viscous Flow ◽  
Rotor Blade ◽  
Design Method ◽  
Three Dimensional ◽  
Turbine Rotor ◽  
Two Dimensional ◽  
Aerodynamic Design ◽  
Present Design ◽  
Blade Element

An optimum aerodynamic design method has been developed for the new type of wind turbine called “wind-lens turbine”. The wind-lens turbine has a diffuser with brim called “wind-lens”, by which the wind concentration on the turbine rotor and the significant enhancement of the turbine output can be achieved. The present design method is based on a genetic algorithm (GA) and a quasi-three-dimensional design of turbine rotor. The quasi-three-dimensional design consists of two parts: meridional viscous flow calculation and two-dimensional blade element design. In the meridional viscous flow calculation, an axisymmetric viscous flow is numerically analyzed on a meridional plane to determine the wind flow rate through the wind-lens and the spanwise distribution of the rotor inlet flow. In the two-dimensional rotor blade element design, the turbine rotor blade profile is determined by a one-dimensional through flow modeling for the wind-lens turbine and a two-dimensional blade element theory based on the momentum theorem of the ducted turbine. In the present optimization method, the Non-dominated Sorting Genetic Algorithm II (NSGA-II) is used as evaluation and selection model. The Real-coded Ensemble Crossover (REX) is used as crossover model. The present aerodynamic design method has been applied to the coupled design of turbine rotor and wind-lens. Total performances and flow fields of the wind-lens turbines designed have been investigated by Reynolds averaged Navier-Stokes simulations, in order to verify the present design method.

Study on Optimum Cross-Section of Gravity Retaining Wall Based on ANSYS

2011 ◽  
Vol 243-249 ◽  
pp. 2618-2622
Author(s):  
Shao Qin Zhang ◽  
Zhi Ye Su ◽  
Yan Fen Zhong
Keyword(s):  
Optimal Design ◽  
Optimum Design ◽  
Cross Section ◽  
Design Method ◽  
Retaining Wall ◽  
Optimal Method ◽  
Gravity Retaining Wall ◽  
First Order ◽  
Optimal Design Method ◽  
Better Than

Based on the geometric properties of a gravity retaining wall, an optimal design model is proposed, and then the best cross-section of the gravity retaining wall can be obtained by using ANSYS optimal techniques. An example is given to verify the effectiveness and superiority of the optimal design method based on ANSYS, and the results show that the optimum design is better than the original one. Further, the comparison between the sub-problem approximation optimal method and the first-order optimal method is performed, and our investigation proves that the first-order optimal method is more economical and reasonable.

404 Pattern Formation Phenomena in Contact Rotating Systems : Optimum Design Method by Using Genetic Algorithm

2004 ◽  
Vol 2004 (0) ◽  
pp. _404-1_-_404-6_
Author(s):  
Nobuyuki SOWA ◽  
Takahiro KONDOU ◽  
Jun YAHATA ◽  
Hiroki MORI ◽  
Myung-Soo CHOI
Keyword(s):  
Genetic Algorithm ◽  
Pattern Formation ◽  
Optimum Design ◽  
Design Method ◽  
Rotating Systems

One Optimum Design Method of Dry-Type Air-Cored Reactors

2011 ◽  
Vol 130-134 ◽  
pp. 3229-3232
Author(s):  
Li Ping Zheng ◽  
Hai Yu ◽  
Ju Feng Dou
Keyword(s):  
Genetic Algorithm ◽  
Optimal Design ◽  
Optimum Design ◽  
Optimization Model ◽  
Design Method ◽  
Improved Genetic Algorithm ◽  
Terminal Voltage ◽  
Set Up ◽  
Correlated Parameters ◽  
Inductive Potential

The process of designing a dry-type air-cored reactor is one repeated way of computing and regulating the correlated parameters, and it is very complex and time-consuming. Therefore, Genetic Algorithm is introduced in this paper, for the purpose of reducing error between total inductive potential of coils and the terminal voltage, we set up the optimization model of an air-cored reactor, and the Improved Genetic Algorithm is adopted to make an optimal design for the air-cored reactor. The results show that designed accuracy can be greatly improved.

scholarly journals The structural optimum design of laminated slender beam section with arbitrary material distribution using a genetic algorithm

2019 ◽  
Vol 11 (1) ◽  
pp. 7-20
Author(s):  
Sang Ho AHN ◽  
Jun Hwan JANG
Keyword(s):  
Genetic Algorithm ◽  
Composite Material ◽  
Optimum Design ◽  
Rotor Blade ◽  
Design Methodology ◽  
Damage Index ◽  
Skin Thickness ◽  
Design Variables ◽  
Blade Section ◽  
Section Structure

In this paper, a study on optimum design methodology of a section structure of a composite material rotor blade using genetic algorithm is conducted, in order to calculate repetitive optimum design, analysis of strength, fatigue and vibration on blade section. In the analysis, the minimum mass of the rotor blade was defined as objective function; stress damage index, center of mass on blade section and fatigue life of blade were set as constraints. By applying genetic algorithm, laminate angle and thickness of skin, thickness, location and width of torsion box were established as design variables; the optimum design methodology on section structure of the composite material rotor blade was validated. The integrated design program of the section structure of the composite material rotor blade based on this study deals with designing the optimal rotor blade section which meets the design load and constraints given by the random position of rotor blade. By using blade’s section design variables derived from this, it can be facilitated for basic information on detailed design of rotor blade.

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