摘要
为研究黄土地区深埋铁路隧道的抗震性能,提升隧道衬砌结构的可靠性,提出了一种基于非侵入式随机有限元计算隧道结构动力可靠度的方法。该方法利用有限元软件进行确定性分析,然后通过随机响应面建立代理模型,采用随机多项式展开式来拟合地震动输入与结构动力响应的关系,从而实现对隧道结构动力可靠性的分析。研究结果表明:该方法可以高效分析隧道结构的可靠性;选取的黄土铁路隧道的二次衬砌在拱脚处的可靠度较低,其余部位可靠度较高,设计较为安全,符合设计要求;围岩的弹性模量和黏聚力对衬砌的可靠度影响较大,而泊松比和内摩擦角影响较小;提升围岩质量可以有效增强衬砌可靠性。
In order to study the seismic performance of deep buried railway tunnels in loess areas and improve the reliability of tunnel lining structures,a non-invasive stochastic finite element method is proposed to analyze the dynamic reliability of tunnel structures.This method uses finite element software for deterministic analysis,and then establishes a surrogate model through a random response surface.The real input-output relationship is fitted through a random polynomial expansion to achieve analysis of the dynamic reliability of tunnel structures.The results of numerical simulation show that the reliablity index of the secondary lining of the railway tunnel at the arch foot is relatively small,while the reliability index of other parts is relatively high,and the design is relatively safe.In addition,the study also found that the elastic modulus and cohesion of the surrounding rock have a significant impact on the reliability of the lining,while Poisson's ratio and internal friction angle have a relatively small impact on the reliability index of the lining.
作者
欧尔峰
管性钰
张旭旭
孙纬宇
郭慧敏
OU Erfeng;GUAN Xingyu;ZHANG Xuxu;SUN Weiyu;GUO Huimin(School of Civil Engineering,Lanzhou Jiaotong University,Lanzhou 730070)
出处
《现代隧道技术》
CSCD
北大核心
2024年第S01期68-75,共8页
Modern Tunnelling Technology
基金
国家自然科学基金项目(52168058,52208392)
关键词
随机响应面法
非侵入式随机有限元法
黄土隧道
动力可靠度
Stochastic response surface method
Non-invasive stochastic finite element method
Loess tunnel
Dynamic reliability
作者简介
欧尔峰(1979-),男,博士,副教授,主要从事隧道抗震方面的研究与教学工作,E-mail:ouerf@163.com;通讯作者:管性钰(1999-),男,硕士研究生,主要从事结构可靠度方面的研究工作,E-mail:1826982979@qq.com.
