[1]黄金,赵淼.基于贝叶斯网络的隧道围岩失稳风险分析[J].西安建筑科技大学学报(自然科学版),2019,(04):545-550.[doi:10.15986/j.1006-7930.2019.04.012]
 HUANG Jin,ZHAO Miao.Risk analysis of tunnel surrounding rock based on Bayesian network[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2019,(04):545-550.[doi:10.15986/j.1006-7930.2019.04.012]
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基于贝叶斯网络的隧道围岩失稳风险分析()
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西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
期数:
2019年04期
页码:
545-550
栏目:
出版日期:
2019-08-30

文章信息/Info

Title:
Risk analysis of tunnel surrounding rock based on Bayesian network
文章编号:
1006-7930(2019)04-0545-06
作者:
黄金1赵淼2
(1.智性纤维复合加固南通有限公司,江苏 南通 226000 ;2.北京城建中南土木工程集团有限公司,北京 100000)
Author(s):
HUANG Jin1ZHAO Miao2
(1. Zhixing FRP Reinforcement Nantong Co.,Ltd,Nantong 226000, China.; 2.Beijing Urban Construction Zhongnan Civil Engineering Group Co.,Ltd.Beijing 100000, China)
关键词:
隧道工程风险分析有限元贝叶斯失效概率
Keywords:
tunnel projectrisk analysisfinite element modelbayesianfailure probability
分类号:
U451+.2
DOI:
10.15986/j.1006-7930.2019.04.012
文献标志码:
A
摘要:
研究分析隧道开挖施工过程中隧道围岩的失效概率对隧道全过程的安全开挖意义重大.结合连云港主体港区东疏港高速公路隧道工程,通过采用有限元分析软件PLAXIS 3D TUNNEL对实例隧道进行建模,可以得到隧道围岩衬砌轴应力关于隧道各个随机变量的数据变化曲线,并可拟合得到多因素下的应力变化函数,再根据其承载能力极限状态建立相应的功能函数,为隧道风险分析模型的建立提供数据支持.采用贝叶斯工具netica建立隧道围岩风险分析的贝叶斯网络模型,对隧道围岩失效概率进行分析.研究结果表明:当围岩的衬砌厚度越厚时,该隧道围岩的失效概率将会越低,且隧道围岩的失效概率随着岩体粘聚力的增加而减小,随着摩擦角的增大而不断增大且变化幅度越来越大,随着弹性模量的增加而不断减小.得到了相应的隧道围岩失效概率随着各随机变量的变化规律后,可以通过不同的条件选择不同的施工对策来减小隧道开挖施工的风险,对隧道工程的安全施工有一定的参考价值
Abstract:
Studying and analyzing the failure probability of surrounding rock in tunnel excavation is of great significance to the safe excavation of the whole tunnel. Combined with the tunnel project of the East Dredge Highway in Lianyungang main port area, the finite element analysis software PLAXIS 3D TUNNEL is used to model the tunnel case. The data change curve of the tunnel lining axis stress on the random variables of the tunnel can be obtained, and the stress variation function under multiple factors can be obtained, and then the basis of the stress change function can also be obtained. The corresponding limit function is established to provide data support for the establishment of tunnel risk analysis model. Bayesian network netica is used to establish the bayesian network model for risk analysis of tunnel surrounding rock, and the failure probability of surrounding rock of tunnel is analyzed. Results show that when the thickness of the surrounding rock lining is thicker, the failure probability of th e tunnel surrounding rock will be lower, and the failure probability of the tunnel surrounding rock decreases with the increase of the cohesive force of the rock mass, and increases with the increase of the friction angle, and the amplitude becomes more and more, which decreases with the increase of the modulus of elasticity. The failure probability of the corresponding tunnel surrounding rock, with the variation of the random variables, can be selected by different conditions to reduce the risk of tunnel excavation, which is of reference value for the tunnel excavation engineering

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备注/Memo

备注/Memo:
收稿日期:2018-06-27
修改稿日期:2019-06-10
第一作者:黄金(1988-),男,硕士,工程师,主要研究方向为结构加固与智能监测。E-mail:huangjin0923@yeah.net
更新日期/Last Update: 2019-09-17