Samenvatting

DEME Group, a leader in offshore energy and marine infrastructure, seeks to enhance the efficiency and accuracy of cable burial operations for offshore wind farms through the development of a user-friendly trencher mobility model. This research addresses the limitations of existing models and provides a comprehensive analysis of soil trafficability and trencher mobility. The goal of the research is the creation of a trencher mobility model that analyzes the interaction between soil trafficability and trencher mobility.

The theoretical framework investigates the operational principles of subsea tracked trenchers, like DEME's CBT1100, focusing on their role in cable burial operations. It examines how general soil conditions influence trencher functionality and performance. The study also evaluates the impact of slope and eccentric loading on the stability and movement of the trencher, aiming to enhance the accuracy and effectiveness of trenching activities.

Employing a mixed-methods approach, the research combines qualitative analysis (literature review, stakeholder feedback) with quantitative validation (comparison of model predictions with real-world data). The model, developed in Microsoft Excel, analyses horizontal and vertical trencher movements, accounting for factors like bearing capacity, traction, and resistances. Validation through project data demonstrates the model's robustness, with predictions aligning with operational data for different soil types.

The model's effectiveness is evidenced by its ability to provide reliable estimates for tractive force, and speed, supporting operational planning and optimization. While the model meets most functional and technical requirements, limitations include the reliance on simplified assumptions and the need for further research on soil behaviour and model accuracy.

Overall, this research contributes a valuable tool for engineers in the offshore energy sector, enhancing the planning and execution of cable burial operations. Future work should focus on refining the model's capabilities and transitioning to more advanced software for improved functionality.