Model test and numerical analysis for the face failure mechanism of large cross-section tunnels under different ground conditions

结构工程 参数统计 岩土工程 理论(学习稳定性) 不稳定性 发掘 工程类 面子(社会学概念) 横截面(物理) 有限元法 计算机模拟 机械 数学 模拟 计算机科学 物理 社会科学 统计 机器学习 社会学 量子力学
作者
Zhenyu Sun,Dingli Zhang,Ao Li,Lu Song,Qimin Tai,Zhaofei Chu
出处
期刊:Tunnelling and Underground Space Technology [Elsevier BV]
卷期号:130: 104735-104735 被引量:44
标识
DOI:10.1016/j.tust.2022.104735
摘要

Face stability protection is a critical issue during large cross-section tunneling. This study investigates the evolution mechanism of tunnel face instability with different ground conditions based on model tests and numerical simulations. Eight groups of model tests were conducted to study the failure behavior of the tunnel face and to characterize the ground displacement and stress distributions. Three failure modes including front extrusion, forward caving and backward caving were defined based on the model test results. Finite element limit analyses were performed using the strength reduction method to simulate the failure behavior. The simulation results were compared with those of the model tests, validating the effectiveness the numerical techniques used in the study. Parametric studies were conducted to investigate the effects of ground strength and unit weight, and tunnel unsupported length, height and burial depth on the tunnel face stability. The simulation results showed that the effect of the gravity load on face stability weakens with the increase in the burial depth due to the arching effects as observed in model tests. Since the ground strength, unsupported length and tunnel height significantly influenced the face stability, the bench method with different unsupported length was compared with the full-face method. The effects of upper bench length and height on the face stability under different ground conditions were investigated. This study explored the face failure mechanism of large cross-section tunnels excavated under different ground conditions. The results can provide a reliable reference to evaluate face stability and safety control during tunnel excavation.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
SciGPT应助IDneverd采纳,获得10
刚刚
1秒前
刘英坤发布了新的文献求助10
1秒前
zeroayanami0完成签到,获得积分10
2秒前
紧张的紫文完成签到,获得积分10
3秒前
大气松发布了新的文献求助10
3秒前
桃桃不加冰完成签到,获得积分10
6秒前
玉梅发布了新的文献求助10
6秒前
落日余晖完成签到,获得积分10
6秒前
6秒前
6秒前
gaoge完成签到,获得积分10
6秒前
兴奋的天蓉完成签到 ,获得积分10
7秒前
斯文败类应助Denmark采纳,获得10
8秒前
魁梧的笑珊完成签到 ,获得积分10
9秒前
大力的含卉完成签到,获得积分10
9秒前
柏林寒冬应助comm采纳,获得10
10秒前
11秒前
ZYG完成签到,获得积分10
11秒前
多情蓝完成签到,获得积分10
12秒前
lulu完成签到,获得积分10
13秒前
落日余晖发布了新的文献求助10
13秒前
czz完成签到,获得积分10
13秒前
14秒前
晚风完成签到 ,获得积分10
14秒前
淡然睿渊完成签到,获得积分20
14秒前
CipherSage应助azerox采纳,获得10
14秒前
wanci应助大气松采纳,获得10
14秒前
Tao完成签到,获得积分10
14秒前
14秒前
紫金之恋完成签到,获得积分10
15秒前
S.S.N完成签到 ,获得积分10
15秒前
早日发nature完成签到 ,获得积分10
15秒前
健忘的寇发布了新的文献求助10
16秒前
16秒前
脑洞疼应助fabian采纳,获得10
17秒前
平凡完成签到,获得积分10
18秒前
共享精神应助隐形夏旋采纳,获得10
20秒前
ding应助YA采纳,获得10
20秒前
Tao发布了新的文献求助10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The impact of workplace variables on juvenile probation officers’ job satisfaction 1000
When the badge of honor holds no meaning anymore 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
AnnualResearch andConsultation Report of Panorama survey and Investment strategy onChinaIndustry 1000
Continuing Syntax 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6279248
求助须知:如何正确求助?哪些是违规求助? 8098535
关于积分的说明 16930550
捐赠科研通 5347376
什么是DOI,文献DOI怎么找? 2842573
邀请新用户注册赠送积分活动 1819897
关于科研通互助平台的介绍 1677081