摘要
岩溶地质条件对公路隧道建设影响较大。隧道在建设过程中围岩分级除考虑常用指标外,还须考虑岩溶影响因素指标。以广西岩溶区实际工程为背景,提出了考虑多因素的岩溶状态指标分析方法,建立以岩石坚硬程度、岩体完整程度、地下水状态、结构面产状和岩溶状态5个指标的围岩分级模型。根据Mat Lab和C++的软件平台设计,植入分级指标参数归一化算法,结合广西瑶寨等3个隧道工程,建立了神经网络专家知识库。最后对专家系统软件进行工程应用,软件判别与实际勘察判别一致性达到80.89%,工程应用效果良好。
As highway tunnel construction is greatly affected by karst geological condition,karst indexes should be considered in addition to conventional indicators in surrounding rock classification.In this research,a model of surrounding rock classification was set up,in which rock hardness,rock mass integrity,groundwater status,structural plane occurrence and karst status are included.The expert system based on three tunnel projects in Guangxi Province for surrounding rock classification was designed by embedding normalization algorithm for the indexes using MatLab and C++.The expert system software was applied to engineering and the consistence between software results and actual survey reached 80.89%.
作者
江杰
蒲鸥
欧孝夺
赵建刚
谢规球
JIANG Jie;PU Ou;OU Xiao-duo;ZHAO Jian-gang;XIE Gui-qiu(College of Civil Engineering and Architecture,Guangxi University,Nanning 530004,China;Key Laboratory of Disaster Prevention and Structural Safety,Guangxi University,Nanning 530004,China;Guangxi Provincial Key Laboratory of Geomechanics and Geotechnical Engineering,Guilin University ofTechnology,Guilin 541004,China;CCCC Fourth Highway Engineering Co.,Ltd.,Beijing 100022,China)
出处
《长江科学院院报》
CSCD
北大核心
2018年第7期94-99,共6页
Journal of Changjiang River Scientific Research Institute
基金
国家自然科学基金项目(51568006
51768006)
中国博士后科学基金项目(2017M612865)
广西岩土力学与工程重点实验室资助课题(14-KF-03)
关键词
岩溶
公路隧道
围岩分级
专家系统
神经网络
karst
highway tunnel
classification of surrounding rock
expert system
neural network
