Author ORCID Identifier
https://orcid.org/0009-0004-2980-1335
Date Available
12-13-2024
Year of Publication
2024
Document Type
Master's Thesis
Degree Name
Master of Science in Mining Engineering (MSMIE)
College
Engineering
Department/School/Program
Mining Engineering
Advisor
Dr. Zach Agioutantis
Co-Director of Graduate Studies
Dr. Steven Schafrik
Abstract
The prediction of ground movements due to underground coal mining and their impacts on the surface are essential considerations that numerous researchers worldwide have studied. Most of these studies have focused on developing different analytical and empirical models for predicting and calculating ground deformation indices for flat or gently dipping seams under variable topography. However, a few studies are available on predicting ground movements under dipping seam conditions. Although most inclined coal seams are in China, India, and a few other countries, dipping seam conditions have been encountered in some cases in the US, where the inclination (dip) may be in the range of 10 degrees or greater. To accurately predict subsidence under these conditions, an appropriate methodology must be developed that builds on the existing infrastructure. This thesis presents a new methodology that can be used to model final subsidence under dipping seam conditions. The method proposes a transformation in which inclined seams are modeled as horizontal seams. The formulation utilizes the influence function method as implemented in the Surface Deformation Prediction System. The methodology has been validated with four case studies that are available in the international literature, and results show that calculations can successfully predict subsidence over different critical conditions of dipping coal panels. The transformation on which the model is based is suitable for any geometrical scenario.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2024.459
Funding Information
This study was partially funded by the Office of Surface Mining Reclamation & Enforcement through grant number S24AC00036 under the Applied Science Grants in 2023.
Recommended Citation
Maldonado Esguerra, Ernesto, "PREDICTION OF FINAL SUBSIDENCE UNDER DIPPING SEAM CONDITIONS" (2024). Theses and Dissertations--Mining Engineering. 86.
https://uknowledge.uky.edu/mng_etds/86
