Publication detail

Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles

ŠŤASTNÝ, J. RICHTER, J.

English title

Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles

Type

journal article in Web of Science

Language

en

Original 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. Read More: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29AS.1943-5525.0000650

English 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. Read More: http://ascelibrary.org/doi/abs/10.1061/%28ASCE%29AS.1943-5525.0000650

Keywords in English

Helium bubble seeding, Spanning tree, Prim-Jarník algorithm, Convex and nonconvex areas, Genetic algorithm

Released

01.11.2016

Publisher

ASCE-AMER SOC CIVIL ENGINEERS, 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400, USA

ISSN

0893-1321

Volume

29

Number

6

Pages from–to

1–14

Pages count

14

BIBTEX


@article{BUT128335,
  author="Jiří {Šťastný} and Jan {Richter},
  title="Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles",
  year="2016",
  volume="29",
  number="6",
  month="November",
  pages="1--14",
  publisher="ASCE-AMER SOC CIVIL ENGINEERS, 1801 ALEXANDER BELL DR, RESTON, VA 20191-4400, USA",
  issn="0893-1321"
}