摘要
隧道围岩分类是隧道设计施工的主要依据。隧道规范对围岩分类已做了规定,但其分类指标多为定性指标,若不具备足够的经验,其有关参数难于确定,即确定围岩分类需要专门技能。本文研制了一个专家系统,用于隧道围岩分类,做为一次尝试,把人工智能一专家系统用于隧道工程。
Rork masses classification for tunneling engineering is one of assential bases of tunnel design and its con-struction. Classification for it was defined by the Railroad Tunneling Specification, but their parameters arehard to eveluate without enough experiences. This means that expertises are needed for assessment of those pa-rameters. In this paper we developed an expert system for classification for rock masses of railroad tunnelingas a first trial to apply AI-expert system to tunneling engineering.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
1989年第4期66-71,共6页
Journal of the China Railway Society
基金
国家自然科学基金委员会重大研究项目"工程建设中智能辅助决策系统的应用研究"下属课题
国家自然科学基金及铁道部八部委联合资助。