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Cao Yi, Wang Huawei, Xia Fang, Zhang Zhe, Ai Zhiwei, Wu Fukun, Cao Siming. Interactive Visual Analysis Engine for High-Performance CAE Simulations[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(12): 1803-1810. DOI: 10.3724/SP.J.1089.2021.19261
Citation: Cao Yi, Wang Huawei, Xia Fang, Zhang Zhe, Ai Zhiwei, Wu Fukun, Cao Siming. Interactive Visual Analysis Engine for High-Performance CAE Simulations[J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(12): 1803-1810. DOI: 10.3724/SP.J.1089.2021.19261

Interactive Visual Analysis Engine for High-Performance CAE Simulations

  • Large-scale simulation data poses new challenges to CAE design and analysis.The coherent in-teraction between pre-processing and post-processing is weak,and the visual interaction of large-scale data is low.Therefore,an interactive visual analysis engine for high-performance CAE simulations is proposed.Firstly,a hybrid data model that efficiently couples geometric models and computational meshes is con-structed.Secondly,a parallel visualization pipeline is developed for the coherent interaction of pre-processing and post-processing.Finally,a GPU photorealistic rendering based on lightweight primitives extracted from the external surface of volume meshes is implemented to support real-time high quality CAE design and analysis.The engine has been integrated into aeroengine CAE simulation Apps of China.The results show that it can smoothly support the interactive design and analysis of large-scale simulation appli-cations.Based on this engine,the interactive performance of one-click import and rendering of the Trent-1000 engine model,including tens of millions of unstructured grids,is more than 8 times higher than that of ANSYS software.
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