工程地质学报2016，Vol.24Issue(4)：492-500,9.DOI:10.13544/j.cnki.jeg.2016.04.002
福建山区高速公路路堑高边坡风险分级方法研究
RISK CLASSIFICATION METHOD FOR HIGH CUT SLOPES OF HIGHWAY IN MOUNTAINS OF FUJIAN PROVINCE
摘要
Abstract
This paper aims to research risk classification for high cut slope during design stage,arrange project investment reasonably and control risk in slope engineering.The classification is based on analysis principles of slope engineering geology and correlative experience summary or feedback analysis,through the analysis of terrain conditions,geological conditions,meteorology and hydrology,and other factors.As a result,the evaluation index system of risk factors for the cut slope is built.It then clears the significance of each evaluation index and determines its risk rating criteria.The system is applied to the risk evaluation of the 71 high slopes along Shuangyong Expressway in Yongding Country.A risk classification method of high cutting slopes during design stage is established.Firstly,an assessment value of each factor is determined according to the survey and design results. Secondly,using analytical hierarchy process,the weights of factors are calculated.Thirdly,4 different risk classes are divided and the relative countermeasures are proposed to prevent and control risk.Furthermore,the system is applied to evaluation of the K227 landslide and other two low failed slopes.The result shows that this risk classification method is reasonable and feasible,and has evident advantage of avoiding omissions for selecting dangerous slopes.The findings demonstrate this highway is the best section of risk control in construction process and operation period although it has the most complex slopes along the whole highway.关键词
路堑边坡/设计阶段/风险分级/风险评估/层次分析法Key words
Cut slope/Design stage/Risk classification/Risk assessment/Analytical hierarchy process分类
交通工程引用本文复制引用
王浩,林一夫,梁涛,廖小平,泮俊,汪劭祎..福建山区高速公路路堑高边坡风险分级方法研究[J].工程地质学报,2016,24(4):492-500,9.基金项目
国家自然科学基金(41002127),福建省自然科学基金(2013J01159),交通运输部建设科技项目(201331849A130),福建省交通运输科技发展项目(201242)资助． （41002127）
