Mitigation strategies of underground tunnels against blast loading

结构工程 岩土工程 有限元法 流离失所(心理学) 冯·米塞斯屈服准则 脉冲(物理) 工程类 材料科学 心理学 量子力学 物理 心理治疗师
作者
K. Senthil,Muskaan Sethi,Loizos Pelecanos,N.K. Gupta
出处
期刊:International Journal of Protective Structures [SAGE Publishing]
卷期号:13 (1): 21-44 被引量:11
标识
DOI:10.1177/20414196211038018
摘要

An evaluation of mitigation strategies of underground tunnels against explosions is important to the society. Therefore, a small scale tunnel was modeled against blast loading using finite element software ABAQUS. The inelastic behavior of concrete and steel bar has been incorporated through concrete damage plasticity model and Johnson-cook models respectively, available in ABAQUS. The Drucker-Prager model as well as acoustic infinite medium have been used to model the damage behavior of soil and tunnel respectively. The simulated results thus obtained from the present study were compared with the experimental results available in the literature and found in good agreement. Further, the simulations were carried to predict the damage intensity in tunnel in terms of acceleration, impulse velocity, displacement, and Mises stresses. There are many parameters which were taken into consideration to assess the mitigation strategies for the underground tunnels. The critical parameters include the influence of tunnel shapes, lining materials, lining thickness, burial depth of the tunnels, inclusion of a barrier in between the blast source-the tunnel and layered configuration of tunnel lining, and were considered to evaluate the mitigation strategy. It was concluded that the square shape of tunnel was most vulnerable as compared to circular and U-shaped tunnels. It was also concluded that plain concrete monolithic lining as well as layered configuration consisting of Dytherm foam layer between Steel Fiber reinforced Concrete layers, was found to be more vulnerable among the chosen lining materials. Also, the thickness of lining and burial depth of the tunnel found to be a significant role against blast loading.
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
所所应助一个人采纳,获得10
刚刚
An2ni0完成签到,获得积分10
1秒前
uss完成签到,获得积分10
1秒前
Malik发布了新的文献求助10
1秒前
NicheFactor发布了新的文献求助10
2秒前
我是老大应助韩菡采纳,获得10
2秒前
2秒前
医心一意发布了新的文献求助20
3秒前
CodeCraft应助Zxc采纳,获得10
3秒前
无极微光应助欣宇采纳,获得20
3秒前
Firsterchao应助Lqs采纳,获得10
3秒前
丘比特应助野性的绝山采纳,获得10
4秒前
zhou发布了新的文献求助10
4秒前
小马甲应助脏话老子采纳,获得10
4秒前
4秒前
5秒前
5秒前
7秒前
bkagyin应助xihuang采纳,获得10
8秒前
8秒前
9秒前
wyao发布了新的文献求助10
10秒前
LYL发布了新的文献求助10
10秒前
10秒前
zzyy完成签到,获得积分10
11秒前
Zxc完成签到,获得积分10
11秒前
12秒前
Owen应助bh采纳,获得10
12秒前
酷波er应助jjj采纳,获得10
13秒前
万能图书馆应助Malik采纳,获得10
14秒前
14秒前
14秒前
siny发布了新的文献求助10
15秒前
小刘同学发布了新的文献求助10
17秒前
今后应助星海极光采纳,获得10
17秒前
17秒前
17秒前
moon完成签到,获得积分10
17秒前
斯文败类应助山头虎采纳,获得10
17秒前
白皮憨憨发布了新的文献求助10
17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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777250
求助须知:如何正确求助?哪些是违规求助? 9318327
关于积分的说明 20363781
捐赠科研通 7364368
什么是DOI,文献DOI怎么找? 3318883
关于科研通互助平台的介绍 2466567
邀请新用户注册赠送积分活动 2334128