- CSCD核心中文核心科技核心
- RCCSE(A+)公路运输高质量期刊T1
- Ei CompendexScopusWJCI
- EBSCOPж(AJ)JST
沙湾特长隧道软弱破碎千枚岩围岩参数敏感性分析与反演研究
收稿日期: 2018-07-30
修回日期: 2018-09-26
网络出版日期: 2019-01-30
基金资助
国家自然科学基金项目（51608332, 51774066）; 辽宁省博士启动基金项目（201601160）; 辽宁省教育厅项目（201564064）; 沈阳工业大学博士培育基金项目（005655）
Sensitivity Analysis and Inversion Study ofParameters of Weak and Broken Phyllite ofShawan Extralong Tunnel
Received date: 2018-07-30
Revised date: 2018-09-26
Online published: 2019-01-30
为解决甘肃渭武土建试验2标沙湾特长隧道围岩软弱破碎、遇水软化以及强度低等使得围岩力学参数难以准确确定的难题，采用ABAQUS数值计算和正交设计方法进行参数敏感性分析，确定各参数对围岩变形的影响程度。基于粒子群优化的BP神经网络算法建立PSO-BP参数反演分析方法，并编制反分析程序。根据反演的参数进行数值模拟，分析围岩和支护结构位移、应力及塑性区分布情况。研究结果表明： 沙湾隧道围岩位移影响因素重要性依次为黏聚力c、泊松比μ、内摩擦角φ、弹性模量E；PSO-BP参数反演分析方法是一种有效的反分析方法，具有较高的精度。
王军祥 , 蔺雅娴 , 孟津竹 , 葛万民 , 寇海军 . 沙湾特长隧道软弱破碎千枚岩围岩参数敏感性分析与反演研究[J]. 隧道建设, 2018 , 38(S2) : 87 -97 . DOI: 10.3973/j.issn.2096-4498.2018.S2.013
The surrounding rocks of Shawan Extralong Tunnel on Test Bid Section 2 of WeiyuanWudu Highway in Gansu are weak and broken, which is softening in water and with low strength. Hence, the ABAQUS numerical calculation and orthogonal design method are used to analyze the parameter sensitivity so as to learn the influence of each parameter on the deformation of surrounding rock. A PSOBP parameter inversion analysis method is established by BP neural network algorithm based on particle swarm optimization; and back analysis is programmed. The displacement, stress and plastic zone distribution of surrounding rock and supporting structure are analyzed by numerical simulation based on the inversion parameters. The study results show that: (1) The factors affecting the displacement of the surrounding rock of Shawan Tunnel are cohesive c, Poisson′s ratio μ, internal friction angle φ and elastic modulus E; (2) The PSOBP parameter inversion analysis method is an effective inverse analysis method with high accuracy.
/
| 〈 |
|
〉 |