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首页> 外文期刊>Journal of aerospace engineering >Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles
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Adaptation of Genetic Algorithm to Determine Air Jet Shape of Flow Visualized by Helium Bubbles

机译：遗传算法的自适应确定氦气泡可视化气流的射流形状

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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. (C) 2016 American Society of Civil Engineers.
机译：在通风和空调系统的开发过程中，重要的是验证设计的系统的功能，尤其是空气填充空间的方法。在这种情况下，可以使用将气体气泡引入氦气的光学可视化方法来实现此功能。一个特殊的发生器产生充满氦气的小气泡。这些气泡是气流的可见颗粒，可以确定这种气流的形状。本文介绍了氦气泡可视化流动图像的评估。通过比较强度并随后清洁有故障的气泡来检测气泡。对于凸起的气流形状，使用精确的几何方法，对于更精确的气流的非凸形状，使用遗传算法，其中应用了一种从选定点布置边界线的复杂算法。该算法还包括一种代表人群中个体的特定方法，包括确定其适应性值。 （C）2016年美国土木工程师学会。

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