郑州轻工业学院学报（自然科学版）2012，Vol.27Issue(6)：73-77,5.DOI:10.3969/j.issn.2095-476X.2012.06.020
一种基于点云数据的复杂地形CFD网格生成方法
A method for grids formation based on point cloud data complex terrain CFD
摘要
Abstract
Aiming at the problem of huge calculation and poor accuracy when generating the CFD terrain mesh, a method for generating CFD terrain mesh based on the BP neural network was put forward, which put 2D vector matrix as the training sample, generating the BP neural network model. The matrix combines with the methods of scanning digitizing and linear elements extraction. And the model was structured, trained, simulated by Matlab. Based on the method, DEM elevation grid matrix was established by fitting the elevation that is not in contours. And then the 3D terrain mesh is generated in the software Gambit based on the data from the matrix. The example validation showed that applying the method can generate high accuracy and efficient CFD terrain mesh, it is suitable for the CFD simulation applications.关键词
网格生成/七参数/复杂地形/多面体网格转换Key words
mesh generation/seven-parameter/complex terrain/polyhedron mesh conversion分类
信息技术与安全科学引用本文复制引用
刘新新,甘勇,郑远攀..一种基于点云数据的复杂地形CFD网格生成方法[J].郑州轻工业学院学报（自然科学版）,2012,27(6):73-77,5.基金项目
河南省科技攻关计划项目(102102310030) （102102310030）
郑州轻工业学院博士基金项目(2010BSJJ006) （2010BSJJ006）
郑州市科技创新团队计划项目(112PCXTD344) （112PCXTD344）
