Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles
Publication: Journal of Aerospace Engineering
Volume 29, Issue 6
Abstract
During the development of ventilation and air conditioning systems, it is important to verify the functionality of the devised system, especially the method by which air fills the space. In this case, an optical visualization method of introducing helium bubbles into the airflow can be used for this function. A special generator produces small bubbles filled with helium. These bubbles are visible particles of airflow, making it possible to determine the shape of such a flow. This article describes the evaluation of flow images visualized by helium bubbles. Bubbles are detected by comparing intensities and subsequently cleaning faulty bubbles. For a convex airflow shape, exact geometric methods are used, and for a more precisely nonconvex shape of airflow, a genetic algorithm is used, in which a sophisticated algorithm of arranging a boundary line from selected points is applied. The algorithm also includes a specific approach of representing individuals in population inclusive of determining their fitness values.
Get full access to this article
View all available purchase options and get full access to this article.
References
Banzhaf, W., Nordin, P., Keller, R., and Francone, F. (1998). Genetic programming—An introduction, Morgan Kaufmann, San Francisco.
Chan, T. F., and Shen, J. J. (2005). Image processing and analysis—Variational, PDE, wavelet, and stochastic methods, Society of Industrial and Applied Mathematics, Philadelphia.
Chartrand, G., and Oellermann, O. R. (1993). Applied algorithmic graph theory, McGraw Hill, New York.
Eiben, A., and Smith, J. (2003). Introduction to evolutionary computing, Springer, Heidelberg, Germany.
Goodfellow, H. D., and Tähti, E. (2001). “Industrial ventilation.” Design guidebook, Academic Press, San Diego.
Gross, J. L., and Yellen, J. (2004). Handbook of graph theory, CRC Press, Boca Raton, FL.
He, K., Sun, J., and Tang, X. (2010). “Guided image filtering.” Computer vision–ECCV 2010, Springer, Heidelberg, Germany.
Hill, F. S., Jr. (1994). “The pleasures of ‘Perp Dot’ products.” Graphics gems IV, P. S. Heckbert, ed., Academic Press, San Diego.
Holland, J. (1975). Adaptation in natural and artificial systems, Univ. of Michigan Press, Ann Arbor, MI.
Koza, J. (1992). Genetic programming: On the programming of computers by means of natural selection, MIT Press, Cambridge, MA.
Kylili, A., Fokaides, P. A., Christou, P., and Kalogirou, S. A. (2014). “Infrared thermography (IRT) applications for building diagnostics: A review.” Appl. Energy, 134, 531–549.
Merzkirch, W. (1987). Flow visualization, Academic Press, New York.
Mitchell, M. (1996). An introduction to genetic algorithms, MIT Press, Cambridge, MA.
Richter, J., and Šťastný, J. (2012). “Fog border detection in the airflow image.” Proc., 6th WSEAS European Computing Conf. ECC’12, WSEAS Press, Athens, 134–139.
Richter, J., Šťastný, J., and Jedelský, J. (2013). “Estimations of shape and direction of an air jet using neural networks.” MENDEL 2013, 19th Int. Conf. on Soft Computing, Springer, Heidelberg, Germany, 221–226.
Samimy, M., Breuer, K. S., Leal, L. G., and Steen, P. H. (2004). A gallery of fluid motion, Cambridge University Press, Cambridge, U.K.
Schmitt, L. M. (2001). “Theory of genetic algorithms.” Theor. Comput. Sci., 259(1–2), 1–61.
Settles, G. S. (2001). Schlieren and shadowgraph techniques: Visualizing phenomena in transparent media, Springer, Berlin.
Škorpil, V., Richter, J., Šťastný, J., Lýsek, J., and Szöcz, J. (2012). “Computer analysis of airflow images visualized by smoke.” Int. Conf. CSCC 2012, Recent Researches in Communication and Computers, Les Ulis, France, 89–94.
Smits, A. J., and Lim, T. T. (2000). Flow visualization: Techniques and examples, Imperial College Press, London.
Torii, K. (1977). “Flow visualization by smoke-wire technique.” Int. Symp. on Flow Visualization, IOS Press, Amsterdam, Netherlands.
Van Dyke, M. (1982). An album of fluid motion, Parabolic Press, Stanford, CA.
Vose, M. (1999). The simple genetic algorithm: Foundations and theory, MIT Press, Cambridge, MA.
Wesseling, P. (2009). Principles of computational fluid dynamics, Springer, Berlin.
Information & Authors
Information
Published In
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Nov 5, 2015
Accepted: Apr 8, 2016
Published online: Jul 13, 2016
Published in print: Nov 1, 2016
Discussion open until: Dec 13, 2016
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.