University of Twente Student Theses

Login

Inferring the permeability field under embankments using hydraulic head measurements

Linnemann, Y.S. (2024) Inferring the permeability field under embankments using hydraulic head measurements.

[img] PDF
2MB
Abstract:Dike failure poses a great risk to areas around rivers and coasts, one of the ways this can happen is piping. A difficulty in the prediction of piping is characterising the subsoil under the embankment, this study seeks to conceptualise a new way of doing this using groundwater head measurements. This is done with a combination of the GrainLearning inference tool and a groundwater flow model through the minimisation of the difference between predicted and synthetic measured hydraulic head profiles. This is done in two different ways: first through predicting the correlation length and standard deviation of the permeability random field and alternatively through fitting a specific field realisation including the random seed. The first method was not able to infer the field parameters. The second method achieved mixed results, with a relatively large error compared to the mean, but with some clear avenues for improvement. Practical applications could be found in selecting input fields that are consistent with field measurements when performing a Monte Carlo analysis on the embankment's piping safety.
Item Type:Essay (Master)
Faculty:ET: Engineering Technology
Subject:56 civil engineering
Programme:Civil Engineering and Management MSc (60026)
Link to this item:https://purl.utwente.nl/essays/98554
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page