Influences of tunnelling parameters in tunnel boring machine on stress and displacement characteristics of surrounding rocks

推力 量子隧道 岩土工程 流离失所(心理学) 地质学 压力(语言学) 发掘 扭矩 工程类 材料科学 机械工程 热力学 光电子学 语言学 物理 哲学 心理学 心理治疗师
作者
Kangjian Zhang,Xinbing Zhao,Zhiqiang Zhang
出处
期刊:Tunnelling and Underground Space Technology [Elsevier]
卷期号:137: 105129-105129
标识
DOI:10.1016/j.tust.2023.105129
摘要

During the operation of a tunnel boring machine (TBM), the stress and displacement of the surrounding rock are closely related to the tunnelling parameters, and the judicious selection of these parameters is crucial for improving TBM’s tunnelling efficiency and equipment utilisation. This study uses finite-element software to develop a three-dimensional mechanical model of a TBM cutterhead and the surrounding rock under the combined action of thrust and torque. It simulates the impact of TBM tunnelling construction on the tunnel’s surrounding rock excavation. Through numerical simulation, the relationship and influence of the TBM tunnelling parameters under various surrounding rock conditions are investigated, as well as the distribution characteristics and laws of the surrounding rock stress and displacement near the tunnel face under different thrust and torque conditions and the mechanical behaviour of the TBM cutterhead regarding the front overall surrounding rock. The results indicated that the influence of thrust change on the surrounding rock is significantly greater than that of torque change, which is minimal and can be ignored. The influence range of thrust and torque under class-A surrounding rock is within 1 m of the tunnel face, and under class-B surrounding rock is within 2 m of the tunnel face. The surrounding rock stress and displacement are closely related to the surrounding rock classification: the higher the quality and integrity of the surrounding rock, the lower the surrounding rock stress and displacement, thereby maximising the surrounding rock’s self-supporting ability.
最长约 10秒,即可获得该文献文件

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
安琪琪完成签到,获得积分10
1秒前
1秒前
端庄千琴完成签到,获得积分10
1秒前
gaogao完成签到,获得积分10
1秒前
菲菲公主完成签到,获得积分10
2秒前
2秒前
2秒前
英姑应助柒八染采纳,获得10
3秒前
退堂鼓发布了新的文献求助10
3秒前
党弛完成签到,获得积分10
3秒前
3秒前
4秒前
烂漫的松完成签到,获得积分10
4秒前
cheryl完成签到,获得积分10
4秒前
笑笑发布了新的文献求助10
5秒前
6秒前
7秒前
糟糕的霆完成签到 ,获得积分10
7秒前
婷婷发布了新的文献求助10
7秒前
7秒前
Anxinxin发布了新的文献求助10
7秒前
CipherSage应助xyz采纳,获得10
8秒前
8秒前
脑洞疼应助mjj采纳,获得10
8秒前
good关注了科研通微信公众号
9秒前
9秒前
punchline完成签到 ,获得积分10
9秒前
Ava应助April采纳,获得10
9秒前
苔原猫咪甜甜圈完成签到,获得积分10
10秒前
骑着蚂蚁追大象完成签到,获得积分10
10秒前
aaa发布了新的文献求助10
10秒前
10秒前
退堂鼓完成签到,获得积分20
10秒前
阿巴发布了新的文献求助10
10秒前
罗实发布了新的文献求助10
10秒前
愉快寄真完成签到,获得积分10
11秒前
11秒前
11秒前
tzy完成签到,获得积分10
12秒前
随聚随分完成签到 ,获得积分10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762