Machine learning and parametrisation of multi-cell structures of secondary circulation in a tight open channel bend using LES

IF 5.9 1区 工程技术 Q1 ENGINEERING, MECHANICAL
H. Katie Schreiner, Abdolmajid Mohammadian, Colin D. Rennie
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引用次数: 0

Abstract

Large eddy simulations of an open channel bend are performed at a variety of water depths and flow rates. The results at several cross sections are decomposed into sub-cells of secondary circulatio...
利用 LES 对狭长明渠弯曲处二次环流的多单元结构进行机器学习和参数化分析
在不同水深和流速下对明渠弯道进行了大涡流模拟。几个断面的结果被分解为次级环流子单元。
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来源期刊
Engineering Applications of Computational Fluid Mechanics
Engineering Applications of Computational Fluid Mechanics ENGINEERING, MULTIDISCIPLINARY-ENGINEERING, MECHANICAL
CiteScore
10.60
自引率
14.80%
发文量
109
审稿时长
3.4 months
期刊介绍: The aim of Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion. It is an open access journal.
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