NNW-TopViz流场可视分析系统

doi:10.7527/S1000-6893.2021.25747

Abstract

Abstract: The flow field visualization technology visually displays the abstract calculation results of CFD numerical simulation in the form of graphic images, enabling users to easily analyze, compare, and study the results.However, the complex flow of CFD numerical simulation, huge generated data and complex data type make it difficult to conduct feature extraction, and thus difficult to achieve efficient visualization. The National Numerical Windtunnel (NNW) Project develops a field visualization software system, NNW-TopViz (TopViz for short), which has the function of field data processing, feature extraction, geometric drawing and human interaction. According to the efficiency requirements, TopViz deploys thread level parallelism to enhance the visualization computing. Due to the difficulties in flow field feature extraction and the low efficiency of conventional methods, TopViz implements the convolutional neural network-based flow field vortex feature extraction method, which improves the accuracy and efficiency of feature extraction. In order to improve software interaction efficiency and provide convenient interaction mode and experience, an immersive virtual display and interaction platform is built based on head-mounted display device and motion-sensing controller. TopViz realizes two interaction methods, namely gesture and eye gaze, and provides a multi-view and multi-angle flow field detection method in an immersive environment.

Key words: Flow visualization software, National Numerical Windtunnel Project, thread level parallel visualization algorithm, intelligent feature extraction, virtual reality, NNW-TopViz software

CLC Number:

V211

CHEN Cheng, ZHAO Dan, WANG Yueqing, DENG Liang, YANG Chao, SU Chengyu, WANG Fang. NNW-TopViz visualization analysis system for flow field[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(9): 625747-625747.

References

[1] WANG Y X, ZHANG L L, LIU W, et al. Efficient parallel implementation of large scale 3D structured grid CFD applications on the Tianhe-1A supercomputer[J]. Computers & Fluids, 2013, 80:244-250.
[2] ANDERSON J D. 计算流体力学基础及其应用[M]. 吴颂平, 刘赵淼, 译. 北京:机械工业出版社, 2007. ANDERSON J D. Computational fluid dynamics[M]. WU S P, LIU Z M, translated. Beijing:China Machine Press, 2007(in Chinese).
[3] 吴颖川, 贺元元, 贺伟, 等. 吸气式高超声速飞行器机体推进一体化技术研究进展[J]. 航空学报, 2015, 36(1):245-260. WU Y C, HE Y Y, HE W, et al. Progress in airframe-propulsion integration technology of air-breathing hypersonic vehicle[J]. Acta Aeronautica et Astronautica Sinica, 2015, 36(1):245-260(in Chinese).
[4] 王松, 王海洋, 吴亚东, 等. 大规模CFD流场可视化分析系统的应用[J]. 航空动力学报, 2017, 32(5):1138-1147. WANG S, WANG H Y, WU Y D, et al. Application of large-scale CFD flowfield visualization analysis system[J]. Journal of Aerospace Power, 2017, 32(5):1138-1147(in Chinese).
[5] 李思昆, 蔡勋,王文珂,等.大规模流场科学计算可视化[M]. 北京:国防工业出版社, 2013. LI S K, CAI X, WANG W K, et al. Visualization of scientific computation of large-scale flow fields[M]. Beijing:National Defense Industry Press, 2013.
[6] 俞宏峰.大规模科学数据可视化[J].中国计算机学会通讯,2012,8(9):29-36. YU H F. Visualization for large scale scientific data[J]. China Computer Federation Communication, 2012, 8(9):29-36(in Chinese)
[7] VisIt[EB/OL].[2021-03-10]. http://wci.llnl.gov/simulation/computer-codes/visit.
[8] ParaView[EB/OL].[2021-03-10].http://www.paraview.org.
[9] 陈莉, 竹岛由里子, 藤代一成, 等. 大规模数据场的并行可视化[J]. 浙江大学学报(理学版), 2001, 28(2):222-226. CHEN L, TAKESHIMA Y, FUJISHIRO I, et al. Parallel visualization for large-scale datasets[J]. Journal of Zhejiang University (Sciences Edition), 2001, 28(2):222-226(in Chinese).
[10] CAO Y, MO Z Y, AI Z W, et al. An efficient and visually accurate multi-field visualization framework for high-resolution climate data[J]. Journal of Visualization, 2016, 19(3):447-460.
[11] FANG W, DENG L, ZHAO D, et al. Acceleration of PDE-based FTLE calculations on Intel multi-core and many-core architectures[C]//20154th International Conference on Computer Science and Network Technology (ICCSNT). Piscataway:IEEE Press, 2015:178-183.
[12] CHEN L, FUJISHIRO I. Optimizing parallel performance of streamline visualization for large distributed flow datasets[C]//2008 IEEE Pacific Visualization Symposium. Piscataway:IEEE Press, 2008:87-94.
[13] MAXIMO A, RIBEIRO S, BENTES C, et al. Memory efficient GPU-based ray casting for unstructured volume rendering[C]//IEEE/EG International Symposium on Volume Graphics. Piscataway:IEEE Press, 2008:155-162.
[14] CAMP D, GARTH C, CHILDS H, et al. Streamline integration using MPI-hybrid parallelism on a large multicore architecture[J]. IEEE Transactions on Visualization and Computer Graphics, 2011, 17(11):1702-1713.
[15] GUPTA S, GIRSHICK R, ARBELáEZ P, et al. Learning rich features from RGB-D images for object detection and segmentation[M]//Computer Vision-ECCV 2014. Berlin:Springer, 2014:345-360.
[16] STRÖFER C A M, WU J L, XIAO H, et al. Data-driven, physics-based feature extraction from fluid flow fields[J]. Communications in Computational Physics, 2018, 25(3):625-650.
[17] FRANZ K, ROSCHER R, MILIOTO A, et al. Ocean eddy identification and tracking using neural networks[C]//IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. Piscataway:IEEE Press, 2018:6887-6890.
[18] HOLDEN C, KEANE A. Visualization methodologies in aircraft design[C]//10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston:AIAA, 2004.
[19] BRANDON J M, HALLISSY J B, BROWN P W, et al. In-flight flow visualization results of the F-106B with a vortex flap[C]//RTO AVT Symposium on Advanced Flow Management:Part A-Vortex Flows and High Angle of Attack for Military Vehicles, 2001.
[20] KLEIN T, GUéNIAT F, PASTUR L, et al. A design study of direct-touch interaction for exploratory 3D scientific visualization[J]. Computer Graphics Forum, 2012, 31(3pt3):1225-1234.
[21] TONG X, EDWARDS J, CHEN C M, et al. View-dependent streamline deformation and exploration[J]. IEEE Transactions on Visualization and Computer Graphics, 2016, 22(7):1788-1801.
[22] GU Y, WANG C L. TransGraph:Hierarchical exploration of transition relationships in time-varying volumetric data[J]. IEEE Transactions on Visualization and Computer Graphics, 2011, 17(12):2015-2024.
[23] 赵钟, 张来平, 何磊, 等. 适用于任意网格的大规模并行CFD计算框架PHengLEI[J]. 计算机学报, 2019, 42(11):2368-2383. ZHAO Z, ZHANG L P, HE L, et al. PHengLEI:A large scale parallel CFD framework for arbitrary grids[J]. Chinese Journal of Computers, 2019, 42(11):2368-2383(in Chinese).
[24] DENG L, WANG Y Q, LIU Y, et al. A CNN-based vortex identification method[J]. Journal of Visualization, 2019, 22(1):65-78.
[25] WANG Y Q, DENG L, YANG Z G, et al. A rapid vortex identification method using fully convolutional segmentation network[J]. The Visual Computer, 2021, 37(2):261-273.
[26] DENG L, WANG Y Q, CHEN C, et al. A clustering-based approach to vortex extraction[J]. Journal of Visualization, 2020, 23(3):459-474.
[27] 陈坚强. 国家数值风洞(NNW)工程关键技术研究进展[J/OL]. 中国科学:技术科学,(2021-04-28)[2021-05-20]. https://kns.cnki.net/kcms/detail/11.5844.TH.2021-0428.0914.006.html. CHEN J Q. Advances in the key technologies of Chinese national numerical windtunnel project[J/OL]. Scientia Sinica Technologica, (2021-04-28)[2021-05-20].https://kns.cnki.net/kcms/detail/11.5844.TH.20210428.0914.006.html (in Chinese).

NNW-TopViz visualization analysis system for flow field

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 9

Recommended Articles

Metrics

Comments

[1]	Xiaoyun SHEN, Shuo ZHANG, Siyuan ZHANG. Simulation of 3D real-time monitoring system of aircraft in terminal area [J]. Acta Aeronautica et Astronautica Sinica, 2023, 44(S1): 727598-727598.
[2]	XIANG Xinghao, ZHANG Yifeng, YUAN Xianxu, TU Guohua, WAN Bingbing, CHEN Jianqiang. C-γ-Re_θ model for hypersonic three-dimensional boundary layer transition prediction [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(9): 625711-625711.
[3]	CHEN Jiangtao, ZHANG Chao, WU Xiaojun, ZHAO Wei. Quantification of turbulence model-selection uncertainties considering discretization errors [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(9): 625741-625741.
[4]	TONG Zixiang, LI Mingjia, LI Dong. Multiscale analysis and numerical model for coupled conduction-radiation heat transfer [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(9): 625729-625729.
[5]	WANG Ping, ZHENG Xiaojing. Advances in numerical simulation of wind-blown sand [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(9): 625767-625767.
[6]	ZHOU Lai, ZHENG Danli, GU Hongbin, WANG Debao. Research of Visual Interaction for Virtual Reality Flight Training [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013, 34(10): 2391-2401.
[7]	ZHOU Lai, GU Hongbin, SUN Jin, TANG Yong. Hand Pose Estimation Based on Maximum a Posteriori Framework in Semi-virtual Reality Cockpit [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2011, 32(7): 1252-1259.
[8]	Wei Yi;Kang Rui. Concept and Technical Framework for Material Virtual Support Systems [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2009, 30(4): 654-659.
[9]	Wang Niandong;Liu Yi;Li Wenzheng;Li Shu;Liu Jia. Research on an Integrated Architecture of Virtual Assembly System [J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2009, 30(11): 2234-2242.