聚类分析方法在判别深层砂土液化中的应用

目前各种砂土液化判别方法均尚不成熟,尤其在对埋深较大的砂层液化的判别上存在着较大的局限性。在分析了砂土液化的主要影响因素的基础上,将聚类分析方法应用到判别埋深较大的砂土液化中,并将其用M atlab语言编程实现,简化了以往繁琐的计算过程,提高了判别的速度和精确度。最后,通过西南某水电站的工程实例资料证明了聚类分析方法在埋深较大的砂土液化判别中使用的可行性和可靠性。

Application of Clustering Analytical Method to Assessment of Deep Sand Liquefaction

Since the existing assessment methods of sand liquefaction are not mature, there is much limitation in assessing the possibility of deep sand liquefaction. This paper studies the main factors leading to sand liquefaction, applies the clustering analytical method to assess the possibility of deep sand liquefaction. The analytical process is realized using Matlah language, which simplifies the complex computation, and improves the efficiency and precision of assessment. At last a hydroelectric station located in the southwestern China is taken as an example to prove the reliability and feasibility of clustering analysis for assessing deep sand liquefaction.