摘要
符合实际的围岩分类是公路隧道设计和施工的重要依据,是准确进行施工地质超前预报的指南。目前的公路隧道围岩分类规范中,围岩类别与各评定指标间尚未建立起精确的本构关系,在具体应用时受人为因素影响较大。针对围岩分类中存在的这类“模糊性”问题,引入模糊信息分析模型,借助专家丰富经验和既有隧道围岩分类信息,创建了公路隧道围岩模糊信息分类的专家系统,在围岩定量分类方面取得新的进展。
Accurate classification of surrounding rock mass is not only an essential problem for the highway tunnel's design and construction, but also a guidance to pre-forecasting the geology of surrounding rock mass precisely. It can provide considerable theoretical application and significance for the tunnel's construction and safety maintenance. In the current specification codes for the classification of surrounding rock mass in highway tunnel, corresponding specific connection between categories and evaluation indicators of surrounding rock mass is not established yet. In addition, actual application of the current codes is often affected by subjective factors. Aiming at the existing fuzzy problem in the current specification codes, firstly, a good deal of data pertinent to the classification of surrounding rock mass have been collected, analyzed and summarized, showing that quantitative classification of surrounding rock mass represents the international trend. Secondly, the concept of fuzzy information analysis model is brought forward here to deal with the fuzzy problem in the current specification codes by virtue of abundant information from actual examples. Then, expert system of fuzzy information for the classification of surrounding rock mass in highway tunnel is presented according to fuzzy mathematics theory and the current specification codes for the classification of surrounding rock mass in highway tunnel, which will make progress in quantitative classification of surrounding rock mass. Finally, the above new theory is applied to surrounding rock mass classification of highway Manxie tunnel No.3.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2006年第1期100-105,共6页
Chinese Journal of Rock Mechanics and Engineering
基金
云南省交通建设科技项目(TST(2004)538133C)
关键词
岩石力学
公路隧道
围岩分类
模糊信息分析模型
专家系统
rock mechanics
highway tunnel
classification of surrounding rock mass
fuzzy information analysis model
expert system