%0 Generic
%A Antoniadis, Nikolaos
%D 2024
%T Python notebooks underlying the MSc thesis: Unveiling Creep Phenomena and Pillar Stability in Valkenburg Limestone Mines: A Holistic Approach
%U 
%R 10.4121/f44790eb-f97d-4f7c-964e-3ed2fb3d3062.v1
%K Creep
%K Fibre Optics
%K Abandoned Mines
%K Room and Pillar
%K Calcarenite
%K Machine Learning
%K LSTM
%K ARIMA
%K Long short-term memory
%K autoregressive integrated moving average
%X <p class="ql-align-justify">The accompanying Python notebooks were developed for the Master’s thesis titled "Unveiling Creep Phenomena and Pillar Stability in Valkenburg Limestone Mines: A Holistic Approach." This research aimed to understand the long-term creep deformation and stability of calcarenite pillars in the Valkenburg limestone mines. In the notebooks, environmental and structural data, such as temperature, precipitation, and pillar dimensions, which were&nbsp;collected via an advanced fibre-optic monitoring system are taken into account. In the notebooks, LSTM and ARIMA models are implemented to capture the complex, non-linear interactions between the examined factors and the pillar behaviour over time. Additionally, a separate notebook contains calculations for correlation analysis and safety factors calculations, contributing to a detailed assessment of the conditions impacting pillar stability.</p>
%I 4TU.ResearchData