Buradasınız

INVERSE DESIGN OF 2-D AIRFOIL VIA VIBRATIONAL GENETIC ALGORITHM

Journal Name:

Publication Year:

Abstract (2. Language): 
Within this study, it is aimed to provide an efficient algorithm for inverse design of 2-D airfoil in different flow conditions. For this purpose, as a stochastic search method, current vibrational genetic algorithm (VGA) is improved and used to accelerate the algorithm for inverse design. From the results obtained, it is concluded that VGA decreased the required time for optimal airfoil solution beside its simplicity. Low population rate and short generation cycle are the main benefits of vibrational genetic algorithm.
7
14

REFERENCES

References: 

[1] Hicks, R. M., Murman, E. M. and
Vanderplaats, G. N., An Assessment of
Airfoil Design by Numerical Optimization,
NASA TM X3092, Ames Research Center,
Moffett Field, California, 1974.
[2] Baysal O., “Aerodynamic Shape
Optimization: Methods and Applications”,
World Aviation Conference, San Francisco,
CA, 1999.
[3] Jameson A., “Essential Elements of
Computational Algorithms for Aerodynamic
Analysis and Design”, NASA/CR-97-206268,
December 1997, ICASE Report No. 97-68, p.
34-35
[4] Jameson A., Kim S., Shankaran S.,
Leoviriyakit K., “Aerodynamic Shape
Optimization: Exploring the Limits of
Design”, Proceedings Of Ksas’03 Ksas 1st
International Sessions İn 2003 Fall
Conference, Gyeongju/Korea, November 14-
15, 2003, p. 2
[5] Ibid, p. 3-5
[6] Baysal O., Eleshaky M. E., “Aerodynamic
Sensitivity Analysis Methods for the
Compressible Euler Equations”, Journal of
Fluids Engineering, Vol. 113, No 4, 1991, pp.
681-688.
[7] Baysal O., Eleshaky M. E., “Aerodynamic
Design Optimization Using Sensitivity
Analysis and Computational Fluid
Dynamics”, AIAA Journal, Vol. 30, No 3,
1992, pp. 718-725.
[8] Jameson A., “Aerodynamic Design via
Control Theory”, Journal of Scientific
Computing, 3:233-260, 1988.
[9] Jameson A., “Computational aerodynamics
for aircraft design”, Science, 245:361-371,
July 1989.
[10] Wang, X., Damodaran, M. and Lee, S. L.,
“Inverse Transonic Airfoil Design Using
Parallel Simulated Annealing and
Computational Fluid Dynamics”, AIAA
Journal, Vol. 40, No. 4, 2002.
[11] Wang, X. and Damodaran, M., “Aerodynamic
Shape Optimization Using Computational
Fluid Dynamics and Parallel Simulated
Annealing Algorithms”, AIAA Journal, Vol.
39, No. 8, 2001.
[12] Rai, M. M. and Madavan, N. K.,
“Aerodynamic Design Using Neural
Networks, AIAA Journal, Vol. 38, No. 1,
2000.
[13] Obayashi, S. and Takanashi, S., “Genetic
Optimization of Target Pressure Distributions
for Inverse Design Methods”, Proc. 12th
AIAA Computational Fluid Dynamics Conf.,
San Diego, 1995.
[14] Quagliarella, D. and Cioppa, A. D., “Genetic
Algorithms Applied to the Aerodynamic
Design of Transonic Airfoil”, Proc. 12th
AIAA Applied Aerodynamics Conference,
Colorado Springs, AIAA-94-1896-CP, s. 686-
693, 1994.
Inverse Design of 2-D Airfoil Via Vibrational Genetic Algorithm
PEHLİVANOĞLU, HACIOGLU
14
[15] Cao, H. V., and Blom, G. A., “Navier-
Stokes/Genetic Optimization of Multi-
Element Airfoils”, AIAA 962487, 1996.
[16] Jones B. R., Crossley W. A., Lyrintzis A. S.,
“Aerodynamic and Aero acoustic
Optimization of Airfoils via a Parallel Genetic
Algorithm”, Purdue University, 1998.
[17] Doorly, D. J. and Peiro, L., “Supervised
Parallel Genetic Algorithms in Aerodynamic
Optimization”, AIAA 97-1852, 1997.
[18] Vicini A., Quagliarella D., “Airfoil And Wing
Design Through Hybrid Optimization
Strategies”, Presented As Paper 98-2729 At
The AIAA 16th Applied Aerodynamics
Conference, Albuquerque, New Mexico, June
1998.
[19] Tse D. C. M., Chan Y. Y. L., “Application of
Micro Genetic Algorithms and Neural
Networks for Airfoil Design Optimization”,
RTO-AVT Symposium on Aerodynamic
Design and Optimization of Flight Vehicles in
a Concurrent Multi-disciplinary Environment,
Canada, 1999, RTO MP-35.
[20] De Falco I., Cioppa, A. D., Balio, R. D., and
Tarantino, E., “Breeder Genetic Algorithms
for Airfoil Design Optimization”, IEEE Int.
Conf. on Evolutionary Computing, Nagoya,
Japan, 1996.
[21] Hacioglu A., “Using Genetic Algorithm in
Aerodynamic Design and Optimization”, Ph.
D. Thesis, Technical University of Istanbul,
2003.
[22] De Falco I., Cioppa, A. D., Lazzetta, A. and
Tarantino, E., “Mijn Mutation Operator for
Airfoil Design Optimization”, Soft
Computing in Engineering Design and
Manufacturing, Springer Verlag, 1998, p.
211-220
[23] Holland J. H., “Adaptation in Natural and
Artificial Systems”, the University of
Michigan Press, 1975, p. 21-22.
[24] Cheng R., Gen M., “Genetic Algorithms and
Engineering Optimization”, John Wiley and
Sons, Inc., 2000, p. 3
[25] Ibid., p. 7-9
[26] Holland J. H., p. 97-98
[27] Wu H-Y., Yang S., Liu F., “Comparison Of
Three Geometric Representations Of Airfoils
For Aerodynamic Optimizations”, AIAA
2003-4095, 2003, p. 2
[28] Nemec M., “Optimal Shape Design of
Aerodynamic Configurations: A Newton-
Krylov Approach”, Ph. D. Thesis, University
Of Toronto, 2003, p. 17

Thank you for copying data from http://www.arastirmax.com