Process-based soil behaviour modelling for subsea structure foundations in carbonate sand environment

碳酸盐砂环境中海底结构基础基于过程的土壤行为建模

• 批准号: EP/V012169/1
• 负责人: Xue Zhang
• 金额: $ 29.15万
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV012169%2F1
• 关键词: Process; based; soil; behaviour; modelling

Over the next decades, there will be a huge expansion of offshore renewable energy facilities to add electricity to the grid and reduce greenhouse gas emissions around the world. Globally, an estimated 17% annual growth from 22 GW to 154 GW in total installed offshore wind power capacity will be seen by 2030. The UK's Offshore Wind Sector Deal (2019) also sets out a goal for the offshore wind sector output being 30 GW by 2030. To meet the ambition of offshore wind energy exploration, it is of great importance to design cost-efficient foundations which, due to the complexity of subsea soil behaviour, remains a major challenge. Offshore foundation designs are well known to be conservative, which has led in part to the foundations accounting for 25-34% of the overall budget of offshore wind farms. The design of offshore foundations is particularly difficult for carbonate soils which cover roughly 35% of the ocean floor because (1) the complex mechanical behaviour of carbonate soils for which a reliable constitutive model is yet unavailable and (2) carbonate soils around foundations often experience large deformations, such as during foundation installation, leading to significant changes of their properties which are difficult to evaluate using traditional finite element techniques.The research proposed in this project aims to develop advanced computer models capable of predicting the mechanical response of carbonate sands at offshore foundations from the installation stage to the operational stage. This will be achieved by developing a novel numerical approach called the particle finite element method (PFEM), for analysing large-deformation soil-water-foundation interactions, and a self-learning simulation framework based on advanced deep-learning techniques for training data-driven constitutive models for carbonate sands. The developed PFEM with the trained data-driven constitutive model for modelling the responses of carbonate sands at offshore structure foundations will be validated under both standard laboratory conditions and high gravity centrifuge testing conditions. The success of the proposed research will not only improve our understanding of the behaviour of carbonate sands surrounding offshore foundations but also provide engineers with a robust open-source computer tool to analyse interactions between submerged carbonate sands and foundations with large deformations and help achieve cost-effective foundation solutions for offshore renewable energy developments.

未来几十年，海上可再生能源设施将大幅扩张，以增加电网电力并减少全球温室气体排放。在全球范围内，到2030年，海上风电总装机容量将从22吉瓦增长到154吉瓦，预计每年增长17%。英国的海上风电行业协议（2019年）也设定了到2030年海上风电行业产量达到30吉瓦的目标。为了满足海上风能勘探的雄心，设计具有成本效益的基础非常重要，由于海底土壤行为的复杂性，这仍然是一个重大挑战。众所周知，海上基础设计是保守的，这部分导致基础占海上风电场总预算的25-34%。对于覆盖约35%洋底的碳酸盐土壤，海上基础的设计尤其困难，因为（1）碳酸盐土壤的复杂力学行为尚未获得可靠的本构模型，以及（2）基础周围的碳酸盐土壤经常经历大的变形，例如在基础安装期间，本项目的研究目的是开发先进的计算机模型，能够预测海上基础碳酸盐砂的力学响应从安装阶段到运行阶段。这将通过开发一种称为颗粒有限元法（PFEM）的新型数值方法来实现，用于分析大变形土-水-地基相互作用，以及基于先进深度学习技术的自学习模拟框架，用于训练数据驱动的碳酸盐砂本构模型。将在标准实验室条件和高重力离心试验条件下验证开发的PFEM与训练数据驱动的本构模型，用于模拟海上结构物基础处碳酸盐砂的响应。拟议研究的成功不仅将提高我们对海上基础周围碳酸盐砂行为的理解，还将为工程师提供强大的开源计算机工具，以分析水下碳酸盐砂与大变形基础之间的相互作用，并帮助实现海上可再生能源开发的成本效益基础解决方案。

项目成果

An implicit nodal integration based PFEM for soil flow problems

• DOI: 10.1016/j.compgeo.2021.104571
• 发表时间: 2022-02
• 期刊: Computers and Geotechnics
• 影响因子: 5.3
• 作者: Xue Zhang;Jing Meng;S. Yuan

Nodal integration-based particle finite element method (N-PFEM) for poro-elastoplastic modelling of saturated soils under large deformation

• DOI: 10.1016/j.compgeo.2023.105567
• 发表时间: 2023-09
• 期刊: Computers and Geotechnics
• 影响因子: 5.3
• 作者: Liang Wang;Xue Zhang;Xueyu Geng;Q. Lei

A stable implicit nodal integration-based particle finite element method (N-PFEM) for modelling saturated soil dynamics

• DOI: 10.1016/j.jrmge.2023.11.016
• 发表时间: 2024-06-18
• 期刊: JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING
• 影响因子: 7.3
• 作者: Wang，Liang;Zhang，Xue;Lei，Qinghua
• 通讯作者: Lei，Qinghua

Estimation of RNN-based constitutive modelling of history-dependent materials

基于 RNN 的历史相关材料本构模型的估计

• 发表时间: 2022
• 作者: Li X

A three-dimensional particle finite element model for simulating soil flow with elastoplasticity.

• DOI: 10.1007/s11440-022-01618-1
• 发表时间: 2022
• 期刊: Acta geotechnica
• 影响因子: 5.7