基于聚类分析的隧道健康评价

Tunnel Health Assessment Based on Cluster Analysis

为解决传统隧道健康评价方法中存在的主观性过强以及计算复杂、耗时等问题,将聚类分析引入到隧道工程领域,提出一种基于聚类分析的隧道健康评价方法。该聚类分析从数据挖掘角度出发,先初步遴选隧道健康评价指标并进行量化处理,再利用R型聚类分析合理地建立起隧道健康诊断指标体系,然后通过Q型聚类分析对隧道不同标段进行健康诊断,得出了隧道健康等级。工程实例验证表明:聚类分析可以更客观地反映隧道实际健康情况,将其应用于隧道健康评价,有利于推动聚类分析理论在隧道工程领域中的应用。

As for the traditional tunnel health evaluation method, the subjectivity and computational complexity are excessive, and the time is consumed too much. In order to solve the problem, the cluster analysis is introduced into the field of tunnel engineering, and a new method of tunnel health evaluation based on cluster analysis is proposed. The clustering analysis is based on the method of data mining. Firstly, the evaluation indexes of tunnel health are preliminary selected and quantified. Then reasonably a diagnosis index system is established with R - type cluster. Finally, the health condition of different tunnel sections is diagnosed through Q - cluster a- nalysis, and the tunnel health grade is obtained. The engineering example shows that the cluster analysis can reflect the actual health condition of tunnel more objectively, and it can be used in the tunnel health evaluation, and it is beneficial to promote the application of cluster analysis theory in the field of tunnel engineering.