期刊文献+

非结构网格流线快速可视化方法 被引量:1

下载PDF
导出
摘要 流线是矢量场最常用的可视化方式之一,特别是在油气田油层数据分析中大量使用。但是目前的流线可视化方法需要大量的数值积分运算,效率较低,难以满足大规模矢量场快速可视化处理与分析的需要。针对该问题,提出一种避免数值积分的流线快速可视化方法。该方法将流线表示成矩阵形式,将积分运算转化成流线与非结构网格单元各表面求交点的问题,利用牛顿迭代法进行求解,避免繁琐的数值积分运算,提高了流线可视化的速度。实验结果表明,相比已有方法,此方法可节约30%左右的时间。
作者 贾志强
出处 《中国石油大学胜利学院学报》 2017年第4期30-33,共4页 Journal of Shengli College China University of Petroleum
  • 相关文献

参考文献1

二级参考文献14

  • 1俞宏峰.大规模科学可视化[OL]. [2014-03-06]. http://www.ccf.org.cn/sites/cc/zlcontnry.jsp-contentld=2694962949049.
  • 2Ueng S K, Sikorski C, Ma K L. Out-of-core streamline visualizationon large unstructured meshes[J]. IEEE Transactions onVisualization and Computer Graphics, 1997, 3(4): 370-380.
  • 3Kendall W, Huang J, Peterka T, Toward a general I/Olayer for parallel visualization applications[J]. IEEE Transactionson sualization and Conqjuter Graphics and Applications,2011,31(6): 6-10.
  • 4Chen Y, Byna S, Sun X H, et al. Hiding I/O latency with preexecutionprefetching for parallel applications [C] //Proceedingsof the ACM/IEEE Conference on Supercomputing. Los Alamitos:IEEE Computer Society Press, 2008: Article No. 40.
  • 5Guo H, Zhang J, Liu R, et al. Advection-based sparse datamanagement for visualizing unsteady flow[J]. IEEE Transactionson Msualization and Computer Graphics, 2014, 20(12):2555-2564.
  • 6Bruckschen R, Kuester F, Hamann B, et al. Real-time out-ofcorevisualization of particle traces[C] //Proceedings of theIEEE Symposium on Parallel and Large-data ^sualization andGraphics. Los Alamitos: IEEE Computer Society Press, 2001:45-50.
  • 7Nouanesengsy B, Lee T Y, Shen H W. Load-balanced parallelstreamline generation on large scale vector fields[J]. IEEETransactions on Visualization and Computer Graphics, 2011,17(12): 1785-1794.
  • 8Yu H F, Wang C L, Ma K L. Parallel hierarchical visualizationof large time-varying 3d vector fields[C] //Proceedings of theACM/IEEE Conference on Supercomputing. Los Alamitos:IEEE Computer Society Press, 2007: Article No. 24.
  • 9Chen L, Fujishiro I. Optimizing parallel performance ofstreamline visualization for large distributed flow datasets[C]//Proceedings of the Pacific Visualization Symposium. LosAlamitos: IEEE Computer Society Press, 2008: 87-94.
  • 10Pugmire D, Childs H, Garth C, et al. Scalable computation ofstreamlines on very large datasets[C] //Proceedings of the IEEEConference on High Performance Computing Networking,Storage and Analysis. Los Alamitos: IEEE Computer SocietyPress, 2009: Article No. 16.

共引文献3

同被引文献5

引证文献1

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部