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 …

This thesis aimed to understand how Tensar’s current design methods work, in relation to the calculation of working platforms. Thereafter, a full breakdown of each design method’s limitations was addressed, with this thesis focusing on the problem of stratification, in the T-value method. This limitation …

Over the last four months I have been working at Mitsubishi Turbocharger and Engine Europe B.V. (MTEE) in Almere, Netherlands. As part of my Bachelor’s thesis assignment, I was given the task to investigate the working principle of Helmholtz resonators and evaluate the factors influencing the sound …

This study explores the effect of precipitation, evaporation, animal burrowing and the changing climate on the permeability of the clay cover layer on a dike. It also showcases the possibility of utilizing finite difference flow models, such as MODFLOW, for the simulation of various environmental impacts …

Physical activity is crucial in human life, whether in everyday activities or elite sports. It is important to maintain or improve physical performance, which depends on various factors such as the amount of physical activity, the capability, and the capacity of the individual. In daily life, it is significant …

NarcoView aims to improve finding narcotic waste dumpsites by utilizing a methodology that reduces reliance on current reporting methods. The project faces challenges in data- and main question is: How does the NarcoView project ensure secure handling of data used on the platform and customize …

This research investigates growth inhibitors for smart services driven by condition-based maintenance (CBM). Despite the fast rise of Industry 4.0 technologies, such as smart sensoring, internet of things, and machine learning (ML), smart services have failed to keep pace. Combined, these technologies …

Both because of the shortcomings of existing risk assessment methodologies, as well as newly available tools to predict hazard and risk with machine learning approaches, there has been an emerging emphasis on probabilistic risk assessment. Increasingly sophisticated AI models can be applied to a plethora …

To enhance our understanding of forest carbon sequestration, climate change mitigation and drought impact on forest ecosystems, the availability of high-resolution annual forest growth maps based on tree-ring width (TRW) would provide a significant advancement to the field. Site-specific characteristics, …