@techreport{oai:jaxa.repo.nii.ac.jp:00043300,
 author = {児玉, 良明 and Kodama, Yoshiaki},
 month = {Dec},
 note = {3-D grid was generated using a geometrical method, in which an initial grid was modified iteratively according to several geometrical requirements. The requirements were orthogonality, smoothing, clustering, and minimum spacing. They can be used either separately or in combination. In case they are used in combination, the modified grid is obtained as a compromise among conflicting requirements. An important tool which supports the above four algorithms in grid generation is re-clustering. Based on an initial grid distribution, it is used for re-distributing points according to a new clustering requirement, and at the same time, for changing the number of points. The requirements can also be used for tuning an existing grid. It can be used either globally or locally. An example of tuning of 2-D grid around a turbine blade was shown. The third usage of the method is to quantify the grid quality. An example of 3-D grid was shown, where the orthogonality requirement was used to measure deviation from orthogonality, and the deviation was plotted as 3-D contours. Further improvement is needed in the way the requirements are combined to update the grid, 資料番号: NALSP0009009, レポート番号: NAL SP-9},
 title = {幾何学的方法による三次元Grid Generation},
 year = {1988}
}