Python notebooks underlying the MSc thesis: Unveiling Creep Phenomena and Pillar Stability in Valkenburg Limestone Mines: A Holistic Approach

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 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.

本配套Python笔记本为硕士学位论文《瓦伦堡石灰岩矿井蠕变现象与矿柱稳定性探析：整体性研究方法》开发完成。该研究旨在探明瓦伦堡石灰岩矿井内钙屑灰岩矿柱的长期蠕变变形与稳定性状况。本系列笔记本纳入了通过先进光纤监测系统采集的环境与结构数据，涵盖温度、降水量及矿柱尺寸等指标。研究中部署了长短期记忆（Long Short-Term Memory, LSTM）网络与差分自回归移动平均（AutoRegressive Integrated Moving Average, ARIMA）模型，以捕捉所考察因素与矿柱随时间演变的行为之间复杂的非线性相互作用。此外，另有一个独立Python笔记本用于开展相关性分析与安全系数计算，可为影响矿柱稳定性的各类条件提供精细化评估支撑。