Results 71 to 80 of about 42,703 (308)

Permeability characteristics of fractured rock mass: a case study of the Dongjiahe coal mine

open access: yesGeomatics, Natural Hazards & Risk, 2020
The intricate distribution of fractures in rock mass leads to the anisotropy of permeability characteristics of the rock mass, which affects the overall stability of rock mass.
Ke Ma   +5 more
doaj   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

open access: yesDeep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao   +5 more
wiley   +1 more source

Amended Draft Response Plan

open access: yes, 2014
August 27, 2014 To: Induced Seismicity Stakeholder Group From: Rex Buchanan, Interim Director, Kansas Geological Survey Mike Tate, Chief, Bureau of Water, Dept.
Kansas Induced Seismicity State Task Force.
core   +1 more source

Experimental Investigation of Flow Domain Division in Beds Packed with Different Sized Particles

open access: yesEnergies, 2017
Seepage in a medium packed with particles of variable granular size can be seen in many fields of engineering applications. Due to the relative complex spatial aspect of pore geometry, there are notable differences in the critical parameters of flow ...
Xin Yang   +3 more
doaj   +1 more source

Instability mechanism and failure characteristics of underground cavern in block system under the action of seismic waves

open access: yesDeep Underground Science and Engineering, EarlyView.
Seismic waves with tensile stress, high amplitude, and low frequency are most likely to trigger block instability and sliding. Blocks with a single sliding surface are more prone to movement than those with multiple constraints, and roof‐positioned blocks are especially vulnerable to slide.
Xiao Wang   +4 more
wiley   +1 more source

A novel transfer learning-enhanced BiLSTM-DCNN architecture for mine microseismic signal identification with small data set

open access: yesGeomechanics and Geophysics for Geo-Energy and Geo-Resources
The underground mining environment generates highly heterogeneous microseismic (MS) signals, whose accurate identification is crucial for source localization and failure mechanism analysis. Limited data in the early monitoring stages restrict recognition
Yong Zhao   +5 more
doaj   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh   +12 more
wiley   +1 more source

Automatic P-wave arrival picking for microseismic signals of mines using a hybrid neural network with constrained attention and CNN-BiLSTM

open access: yesJournal of Rock Mechanics and Geotechnical Engineering
Microseismic (MS) monitoring is a critical technology for ground pressure control, water inrush warning, and slope stability management in mining, as outlined by national standards and industry regulations.
Yong Zhao   +6 more
doaj   +1 more source

Frequency-magnitude distribution and spatial fractal dimension of seismicity at the geysers geothermal area and long valley caldera, California [PDF]

open access: yes, 1998
Although there is no obvious reason why seismic 6-value and the spatial fractal dimension of earthquakes, D, should be related, there are several reports of observed empirical correlations between these two quantities.
Barton, David J.
core  

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

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