Soil properties naturally vary in space and can never be represented perfectly by a single deterministic value. Traditional geotechnical designs often simplify this variability by using characteristic soil parameters derived from a limited number of site investigations. However, such an approach may not fully capture the spatial variability of the subsurface and its influence on the behaviour of geotechnical structures.
Random field modelling provides a framework to represent soil variability in a statistically consistent manner by accounting for both the magnitude and spatial correlation of soil properties. This approach offers opportunities to make better use of site investigation data and to develop more realistic subsurface models.
The aim of this thesis is to investigate how random field modelling can be used to integrate CPTs, boreholes and other site investigation data into a three-dimensional representation of the subsurface. Particular attention should be given to the spatial distribution of soil classification, strength and stiffness parameters, and the practical application of random field methods in geotechnical engineering practice.
During your thesis at ABT, you have the opportunity to:
- Work from our office located on the UT campus in Enschede (The Gallery), or from our offices in Delft (close to TU Delft) or Velp.
- Collaborate with our experts in geotechnical engineering and water safety engineering.
- Conduct research based on real-world engineering challenges using ABT projects and data.
- Tailor the thesis topic to your own interests and academic goals.
- Gain first-hand experience in a multidisciplinary engineering consultancy.
- Receive an internship allowance.
ABT Supervisors
Tom Maatkamp
Antoinet Peek
UT Supervisors
