Detail publikačního výsledku

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

ŠŤASTNÝ, J.; RICHTER, J.

Originální název

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

Anglický název

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

Druh

Článek WoS

Originální abstrakt

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

Anglický abstrakt

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

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

ŠŤASTNÝ, J.; RICHTER, J.

Rok RIV

2017

Vydáno

01.11.2016

Nakladatel

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

ISSN

0893-1321

Periodikum

JOURNAL OF AEROSPACE ENGINEERING

Svazek

29

Číslo

6

Stát

Spojené státy americké

Strany od

1

Strany do

14

Strany počet

14

URL

http://dx.doi.org/10.1061/(ASCE)AS.1943-5525.0000650

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",
  journal="JOURNAL OF AEROSPACE ENGINEERING",
  year="2016",
  volume="29",
  number="6",
  pages="1--14",
  doi="10.1061/(ASCE)AS.1943-5525.0000650",
  issn="0893-1321",
  url="http://dx.doi.org/10.1061/(ASCE)AS.1943-5525.0000650"
}