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Visual analysis of three-dimensional flow field based on WebVR
Author(s) -
Shilin Zhao,
Sheng Jin,
Congfang Ai,
Nan Zhang
Publication year - 2019
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2019.101
Subject(s) - computer science , javascript , computer graphics (images) , visualization , rendering (computer graphics) , the internet , flow (mathematics) , flow visualization , field (mathematics) , artificial intelligence , world wide web , geometry , mathematics , pure mathematics
With the rapid development of internet technologies, it is possible to provide computing services and visualize calculated results on the internet. A three-dimensional flow field visualization method based on WebVR is presented in this paper. We devised and built an immersive and interactive threedimensional virtual reality scene employing web-standard technologies (i.e., HTML5, JavaScript, WebGL, and Ajax) and computing services provided by hydrodynamic software, using GPUs to accelerate the display of flow field in the browser, without the use of plug-ins. On the basis of threedimensional topography and surface flow field, a three-dimensional flow field presentation method of superimposing multiple sections into the original computational domain was proposed. Furthermore, the description of tracer sphere and path line was adopted to describe the structure characteristics of the flow field. Replacing complete three-dimensional sphere models with textured stylized particles improved the frame rate of the browser greatly when rendering animations. This research enables developers and users of the hydrodynamic model to be immersed in their data of flow field using Google Cardboard. As far as we know, this is the first time that WebVR technology has been applied in three-dimensional hydrodynamic simulation. doi: 10.2166/hydro.2019.101 s://iwaponline.com/jh/article-pdf/21/5/671/602680/jh0210671.pdf Shilin Zhao (corresponding author) Sheng Jin Congfang Ai State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China E-mail: zhaoshilin@mail.dlut.edu.cn Nan Zhang Liaoning University of International Business and Economics, Dalian 116024, China

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