Numerical Simulation of the Behavior of Caisson Based on Physical Modeling

沉箱 离心机 参数统计 岩土工程 实验数据 工程类 基础(证据) 有限元法 过程(计算) 结构工程 变形(气象学) 海洋工程 计算机科学 地质学 数学 统计 物理 考古 核物理学 操作系统 海洋学 历史
作者
Sifen Huang,Yuwei Han,Shuyi Li,Mi Zhou
出处
期刊:Journal of Marine Science and Engineering [MDPI AG]
卷期号:12 (8): 1284-1284
标识
DOI:10.3390/jmse12081284
摘要

Stiffened caissons are a new kind of offshore platform foundation which has been widely used in recent years. Stiffeners are employed to avoid buckling during the installation process. However, they also create a significant challenge in terms of understating the soil-flow patterns and corresponding installation resistance prediction. Although centrifuge and in situ tests can simulate the caisson installation process very well, their high costs prevent their widespread application. Model tests have been widely used in research on caisson behavior during installation, as they are convenient and cost less compared to centrifuge and prototype tests. However, the quantitative conclusions of the resulting predictions of installation resistance have some uncertainties because it is quite hard to strictly follow the similarity principle in 1 g model tests. Therefore, it is important to establish a method to calibrate the data from model tests, providing better estimates of caisson behavior in field tests. In our research, large deformation finite element (LDFE) analyses were conducted to provide insights into differences in the outcomes of caisson installation approaches between prototype tests and 1 g model tests. Prior to carrying out parametric studies, validations were conducted with good results. The results show that normalized soil strength significantly influences the behavior of caissons of various dimensions in 1 g model tests. In uniform clay, caissons exhibit consistent installation behavior; otherwise, they show significant differences. Based on systematic research, this paper reveals the mechanisms of the difference between model tests and prototype tests with different sizes of caissons and identifies the factors influencing these differences.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
TTina完成签到,获得积分10
1秒前
占糜完成签到,获得积分10
1秒前
ddd完成签到,获得积分10
1秒前
田様应助豆壳儿采纳,获得10
2秒前
会撒娇的冷亦完成签到,获得积分10
3秒前
4秒前
5秒前
5秒前
5秒前
6秒前
科研通AI2S应助momo采纳,获得10
6秒前
6秒前
快乐滑板应助宇宇宇采纳,获得10
7秒前
认真的小海豚完成签到,获得积分10
7秒前
岛err应助叶95采纳,获得20
8秒前
优秀老师发布了新的文献求助20
9秒前
9秒前
黄鱼发布了新的文献求助10
9秒前
ron404完成签到,获得积分20
10秒前
英俊的铭应助berg采纳,获得10
13秒前
黄鱼完成签到,获得积分10
15秒前
16秒前
mmlikeu发布了新的文献求助10
17秒前
Shinewei发布了新的文献求助10
18秒前
发表更好文章完成签到,获得积分10
19秒前
sxy发布了新的文献求助10
21秒前
科研通AI2S应助zxxx采纳,获得10
22秒前
qq.com完成签到,获得积分20
23秒前
万能图书馆应助肖思羽采纳,获得10
24秒前
学术狗完成签到,获得积分10
27秒前
mmlikeu完成签到,获得积分20
29秒前
32秒前
逆旅发布了新的文献求助30
33秒前
35秒前
随心完成签到,获得积分10
38秒前
Vegetable_Dog发布了新的文献求助10
39秒前
shinysparrow应助Paper多多采纳,获得200
39秒前
39秒前
aa关注了科研通微信公众号
40秒前
40秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Foreign Policy of the French Second Empire: A Bibliography 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
XAFS for Everyone 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3145294
求助须知:如何正确求助?哪些是违规求助? 2796749
关于积分的说明 7821013
捐赠科研通 2453006
什么是DOI,文献DOI怎么找? 1305347
科研通“疑难数据库(出版商)”最低求助积分说明 627487
版权声明 601464