MODELING THE SPATIAL AND TEMPORAL EVOLUTION OF STRESS DURING MULTIWORKING FACE MINING IN CLOSE DISTANCE COAL SEAMS

Modeling the Spatial and Temporal Evolution of Stress during Multiworking Face Mining in Close Distance Coal Seams

Mining in close distance coal seams (CDCSs) is frequently associated with engineering disasters because of Bridle Bags the complicated nature of stress distribution within CDCSs.In order to establish a layout of a roadway to minimize the occurrence of disasters associated with mining CDCS, here the spatial and temporal evolution of stress distribut

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Seismic constraints on dynamic links between geomorphic processes and routing of sediment in a steep mountain catchment

Landscape dynamics are determined by interactions amongst geomorphic processes.These interactions allow the effects of tectonic, climatic and seismic perturbations to propagate across topographic domains, and permit the impacts of geomorphic process events to radiate from their point of origin.Visual remote sensing and in situ observations do not f

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Deep reinforcement learning for the optimized operation of large amounts of distributed renewable energy assets

This study utilizes machine learning and, more specifically, reinforcement learning (RL) to allow for an optimized, real-time operation of large numbers of decentral flexible assets on private household scale in the electricity domain.The potential and current obstacles of RL are demonstrated and a guide for interested practitioners is provided on

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How Do Individual-Level Characteristics Influence Cross-Domain Risk Perceptions Among Chinese Urban Residents?

While previous studies show that Wallplate Mounting Clip risk perceptions vary across populations and domains, there is little empirical evidence on the interplay between individual-level characteristics and risk domains in shaping perceived social risks in a country such as China.This study examines empirically the effects of individual-level char

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