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R. Chaurasia

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Review Open access Aug 2026

Advanced Modelling Techniques for Optimization of Stope Support Design – A Review

Ground control remains a critical challenge in underground mining, where the structural integrity of stope boundaries directly influences safety and resource recovery. Traditional empirical and analytical support design methods often rely on over simplified assumptions, failing to capture the complex, non-linear behavi...

S. Choubay, R. Chaurasia · 0 citations
Open access Sep 2026

Integrated Geotechnical Risk Assessment of Roof–Pillar–Floor Interaction in Underground Coal Mines under Indian Geological Conditions

Surface subsidence associated with pillar extraction represents a coupled geotechnical and societal hazard because the severity of ground movement depends not only on mining induced deformation but also on the vulnerability and exposure of surface assets. This study developed an integrated framework for assessing, clas...

Ashvin Gupta, R. Chaurasia · 0 citations
Open access Aug 2026

Geotechnical Challenges and Failure Mechanisms in Indian Underground Coal Mines: Roof Stability, Pillar Design and Floor Behaviour under Complex Geological Conditions

Underground coal mining in India is constrained by complex Gondwana geology, variable rock-mass quality, increasing extraction depths, and heterogeneous stress conditions. Weak laminated shale, jointed sandstone, high horizontal stresses, pillar degradation, floor instability, and mining-induced deformation frequently...

Ashvin Gupta, R. Chaurasia · 0 citations
Open access Sep 2026

Impact of Coal Mining on Groundwater Quality and Human Health: A Case Study

Groundwater resources in coal mining regions are increasingly threatened by intensive mining activities that alter natural hydrogeochemical conditions and facilitate the mobilization of heavy metals into aquifer systems. This study evaluates the groundwater quality and associated human health risks in the Sohagpur Coal...

S. Choubay, R. Chaurasia · 0 citations
Open access Aug 2026

AIOT-Based Predictive Safety Framework for Underground Coal Mining: Integrating PINNs, Wearable Sensors, and Digital Twins in Indian Contexts

Underground coal mining remains one of the most hazardous industrial activities worldwide, particularly in emerging economies where complex geological conditions, methane emissions, roof instability, dust exposure, and equipment-related accidents continue to threaten worker safety. India, the world's second-largest coa...

S. Kushwaha, R. Chaurasia · 0 citations

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