A general constitutive model for the numerical simulation of different synthetic fibres used in offshore mooring

系泊 海底管道 海洋工程 本构方程 蠕动 非线性系统 工程类 合成纤维 稳健性(进化) 结构工程 计算机科学 岩土工程 材料科学 有限元法 复合材料 纤维 化学 物理 基因 量子力学 生物化学
作者
Felipe Tempel Stumpf,Carlos Eduardo Marcos Guilherme,Daniel Magalhães da Cruz,Antônio Henrique Monteiro da Fonseca Thomé da Silva,Milton Briguet Bastos
出处
期刊:Ships and Offshore Structures [Informa]
卷期号:18 (9): 1338-1344 被引量:9
标识
DOI:10.1080/17445302.2022.2116766
摘要

The offshore industry faces continuous challenges as new applications (such as floating wind turbines, wave energy converters, etc.) are being proposed and old applications (such as offshore oil and gas floating units) are being installed in deeper waters. Mooring systems are among those that have faced the greatest evolution, mostly due to the recent successful use of synthetic fibre ropes. The complex mechanical loads to which these systems are subjected during service, in combination with their inherent nonlinear mechanical behaviour, call for the use of numerical techniques for the prediction of their stress and strain response. Although there can be found a considerable amount of proposed models in the specialised literature, it is noted that the great majority of them is developed to be used with very specific materials, or to model few specific phenomenon, such as creep, relaxation, or monotonic load, for instance. With that in mind, the major contribution of the present paper is that it proposes a constitutive framework that accurately predicts the stress-strain response under cyclic load of four of the most used fibres in synthetic mooring ropes, namely, polyester, high modulus polyethylene, polyamide and aramid. A polyester subrope was also modelled, which shows the robustness of the proposed methodology.

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
刚刚
77发布了新的文献求助30
刚刚
刚刚
水心完成签到 ,获得积分10
刚刚
1秒前
1秒前
Ava应助Subzero采纳,获得10
2秒前
情怀应助小小打得他采纳,获得10
2秒前
2秒前
junxu完成签到,获得积分20
2秒前
2秒前
jinzhen发布了新的文献求助10
2秒前
执着的幻灵完成签到,获得积分10
3秒前
难过太君完成签到,获得积分10
3秒前
英吉利25发布了新的文献求助10
3秒前
王二柱今天毕业了吗完成签到,获得积分10
3秒前
556完成签到,获得积分20
4秒前
情怀应助嘻嘻嘻采纳,获得10
4秒前
5秒前
星辰大海应助LayM采纳,获得10
5秒前
6秒前
两张发布了新的文献求助10
7秒前
姗姗发布了新的文献求助10
7秒前
杨世全发布了新的文献求助10
7秒前
雄图发布了新的文献求助10
7秒前
英俊的铭应助Zhen_Huang采纳,获得10
8秒前
科目三应助wg采纳,获得10
8秒前
8秒前
烟花应助suwan采纳,获得10
9秒前
9秒前
9秒前
豆丁完成签到,获得积分10
10秒前
SUN发布了新的文献求助20
10秒前
10秒前
10秒前
LayM完成签到,获得积分10
11秒前
打打应助楚寅采纳,获得10
12秒前
12秒前
在水一方应助无聊的不愁采纳,获得10
12秒前
小太阳完成签到,获得积分10
13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
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
The Social Psychology of Citizenship 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5911166
求助须知:如何正确求助?哪些是违规求助? 6824547
关于积分的说明 15780538
捐赠科研通 5036007
什么是DOI,文献DOI怎么找? 2711065
邀请新用户注册赠送积分活动 1661244
关于科研通互助平台的介绍 1603641