Results 141 to 150 of about 10,526 (222)

Motion planning and control of an installation robot for attitude adjustment of arc parts in underground shield tunneling

open access: yesDeep Underground Science and Engineering, EarlyView.
Inspired by spiders, the multilegged walk‐through assembling robot for arc parts achieves high‐precision synchronous control under heavy loads through dual‐layer hydraulic pose dynamics modeling and hierarchical pressure optimization, significantly enhancing shield tunneling assembly efficiency and precision.
Quan Xiao   +5 more
wiley   +1 more source

Caving‐enhanced geothermal system overwhelms fracturing‐ and pipe‐enhanced geothermal system in heat extraction

open access: yesDeep Underground Science and Engineering, EarlyView.
Our study reveals that caving‐enhanced geothermal systems (C‐EGS) with adequately fractured reservoirs achieve optimal heat extraction by minimizing preferential flow paths, while conventional fracturing (F‐EGS) and pipe‐based (P‐EGS) systems suffer accelerated thermal drawdown.
Fangchao Kang   +4 more
wiley   +1 more source

Multiple injection techniques to stimulate complex fracture networks in coal reservoirs: A case study on gas disaster reduction of subsurface coal mine in southwest China

open access: yesDeep Underground Science and Engineering, EarlyView.
An experimental device for physical simulation of hydraulic fracturing, comprising: a load‐bearing mechanism with multiple interconnected plates that collectively form an sample chamber; a load‐generating mechanisms, with multiple load‐generating mechanisms arranged within the experimental chamber.
Delei Shang   +5 more
wiley   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

open access: yesDeep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza   +4 more
wiley   +1 more source

Reinforcement Learning-Based Optimization of Ku-Band Low-Noise Amplifier. [PDF]

open access: yesMicromachines (Basel)
Chung J   +6 more
europepmc   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

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