Combination and Application of Direct Clustering and Gray Relevance Degree in Cracks Analysis
Analysis of the cracks monitoring data from the Yan Tan Dam was made by combination of direct clustering and gray relevance degree methods. According to the interrelationship, the monitoring data of cracks were classified.Then, based on the known data of a measuring point, the data of other measuring points in the same class was predicted. The results show that the predictions are in good agreement with measured ones and that the proposed technique is potential in analyzing and assessing the performance and safety monitoring of the dam.
direct clustering gray relevance degree cracks Yan Tan
XU Bo HOU Yue XIA Hui
College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China Sta College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
国际会议
The 2010 International Symposium on Safety Science and Technology(2010 安全科学与技术国际会议)
杭州
英文
383-388
2010-10-26(万方平台首次上网日期,不代表论文的发表时间)