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灰色聚类评估法在公路隧道围岩分级中的应用
引用本文:杨军平,林小丰,熊熙,陈意燃. 灰色聚类评估法在公路隧道围岩分级中的应用[J]. 路基工程, 2013, 0(2): 53-58
作者姓名:杨军平  林小丰  熊熙  陈意燃
作者单位:1.桂林理工大学广西建筑工程检测与试验重点实验室,广西桂林 541004
基金项目:广西自然科学基金项目(2011GXNSFA018023)
摘    要:隧道围岩分级是隧道设计和施工的主要依据。以郴宁高速公路羊角脑隧道为对象,结合目前使用的《公路隧道设计规范》(JTGD70-2004)围岩分级法进行分析,揭示了其在指导隧道施工过程中的不足,针对其中的计算公式存在数学逻辑上的缺陷、地质勘查资料的具体代表性不高、修正系数选取偏差大、修正值在两级边界处取值主观性大等问题,引用灰色聚类评估法进行研究。研究结果表明:灰色聚类评估法能够较好地弥补规范的不足之处,具有有效性、校正性、适用性的特征。

关 键 词:公路隧道   围岩分级   灰色聚类   辅助校正
收稿时间:2019-11-08

Application of Gray Clustering Evaluation in Highway Tunnel Surrounding Rock Classification
YANG Junping,LIN Xiaofeng,XIONG Xi,CHEN Yiran. Application of Gray Clustering Evaluation in Highway Tunnel Surrounding Rock Classification[J]. , 2013, 0(2): 53-58
Authors:YANG Junping  LIN Xiaofeng  XIONG Xi  CHEN Yiran
Affiliation:1 Guangxi Key Laboratory of Detection and Testing of Architectural Engineering, Guilin University of Technology, Guilin 541004, Guangxi, China; 2. Huanggang Polytechnic College, Huanggang 438000, Hubei, China)
Abstract:Highway construction in China rapidly develops, wherein tunnel project is an important part with controllability and bottleneck ; and the surrounding rock classification thereof is the main basis of tunnel design and construction. Then this paper, taking Yangjiaonao Tunnel on Chenzhou-Ningyuan Highway as the object and according to the classifying method in the new Code for Design of Road Tunnel (JTJD70 -2004 ), carries out the analysis to reveal the deficiency of the classification during tunnel construction as guidance. In connection with the problems existed, such as the mathematical logic defect in the formula, little representation of prospecting data, large deviation of correction coefficient, subjective valuing of correction at the boundary, and with practical instances, the classification is studied with gray clustering evaluation introduced. The result shows that grey clustering evaluation may make up for the deficiency in the new code well, and then demonstrates the new method's validity, corrective and applicability.
Keywords:highway tunnel  surrounding rock classification  gray clustering  complementary correction
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