Submarine power cables (SPCs) are vital for the offshore wind industry, particularly as wind farms expand into deeper and remoter ocean areas rich in wind resources. These environments subject SPCs, especially dynamic power cables (DPCs) connected to floating wind platforms, to r
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Submarine power cables (SPCs) are vital for the offshore wind industry, particularly as wind farms expand into deeper and remoter ocean areas rich in wind resources. These environments subject SPCs, especially dynamic power cables (DPCs) connected to floating wind platforms, to repetitive loadings and consequent fatigue failures, posing substantial challenges within the industry.
Predicting the fatigue life of SPCs involves several critical steps, with local mechanical analysis acting as a pivotal bridge that significantly impacts overall fatigue life estimation. This analysis assesses overall cable behaviours, such as stiffness, and detailed component behaviours, such as stress and strain conditions. The accuracy of the local mechanical analysis crucially influences the ultimate fatigue life estimation. Currently, large safety factors are employed in engineering to compensate for uncertainties due to insufficient understanding of local mechanical behaviours. Therefore, there is a need for a modelling method that can accurately estimate the local mechanical behaviour of SPCs.
This PhD project is dedicated to developing an effective modelling method for the local mechanical analysis of SPCs. An extensive literature review on SPC configurations, design processes, and methods for determining mechanical behaviours is presented in Chapter 2. This chapter focuses on prevalent loadings of tension and bending and discusses the complexity of SPC structures, particularly due to their unbonded, multi-layer, helical component nature and associated stick-slip issues. Two approaches—analytical and numerical—are used to capture these behaviours, with numerical methods preferred for their ability to handle complex structures. However, these methods struggle with efficiency when detailed analysis is necessary. The balance between accuracy and efficiency in developing an effective numerical model hinges on resolving three specific issues: constructing appropriate finite element, managing contact issues, and establishing suitable boundary conditions.
Chapter 3 addresses the aforementioned challenges. First, it introduces an element combination—beam plus surface elements—to simulate the helical metals within SPCs, a method previously validated for accuracy and efficiency. This combination undergoes further verification in subsequent chapters. Secondly, the contact issue, particularly the initial residual stress from extruded polymers during manufacturing, is tackled using contact damping to simulate its effects, enhancing model efficiency and convergence. Lastly, the challenge of setting appropriate boundary conditions is addressed through periodic boundary conditions derived from the homogenization method, applied to a repetitive unit cell (RUC) whose length is reduced to increase computational efficiency. The resulting model, referred to as the RUC model, is applied to SPC samples and validated against test data on tension and bending.
The effectiveness of the RUC model under tension is confirmed in Chapter 4 through material tests and a tension test on a DPC sample. The model demonstrates superior performance in terms of accuracy and efficiency compared to traditional full-scale models. Similarly, Chapter 5 validates the RUC model under bending conditions using tests on both three-core DPC and single-core SPCs. The model is verified against traditional full-scale models, affirming its robustness.
Subsequently, Chapter 6 explores the RUC model’s application in analyzing the combined effects of tension and bending on DPCs. The study extends to parametric analysis of internal components and helical pitch lengths, providing crucial insights for cable design.
Finally, Chapter 7 concludes the dissertation by summarizing the key findings and offering recommendations for further research building on the current study. Additionally, it outlines guidelines for employing the proposed model in practical scenarios
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