Results 71 to 80 of about 4,299,358 (286)

Developing a geomechanical model to predict breakdown pressure in a vertical borehole using failure analysis: a case study

open access: yesGeomechanics and Geophysics for Geo-Energy and Geo-Resources
Breakdown is an important process in geomechanics; a very complex process in hydraulic fracturing which has been the subject of extensive research in the literature. There exist several models in the literature for predicting the breakdown pressure.
Majid Jamshidian   +3 more
doaj   +1 more source

Influence of Injection-Induced Secondary Fault Slip on the Stability of an Adjacent Critically Stressed Fault

open access: yesApplied Sciences
Fluid injection in deep reservoirs can induce fault reactivation and seismicity, posing challenges for geothermal and subsurface energy development. This study investigates the mechanical interaction between two adjacent non-intersecting faults under ...
Wenchong Shan   +5 more
doaj   +1 more source

A Review on the Failure Modes of Rock and Soil Mass under Compression and the Exploration about Constitutive Equations of Rock and Soil Mass

open access: yesAdvances in Civil Engineering, 2022
The constitutive equation of rock and soil has always been the core problem in rock and soil mechanics. Up to now, the nature of nonlinear shear strength of rock and soil has not been revealed.
Liansheng Tang   +4 more
doaj   +1 more source

Mohr-Coulomb failure criterion.

open access: yes, 2019
Mohr-Coulomb failure criterion.
Jia-li He (6944711)   +2 more
core   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

open access: yesAdvanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen   +9 more
wiley   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

COULOMB STRESS CHANGES DUE TO RECENT ACEH EARTHQUAKES

open access: yesJurnal Penelitian Fisika dan Aplikasinya, 2016
Coulomb stress change analysis has been applied to understand whether the 2013/07/02 (Mw=6.1) has been triggered by 2013/01/21 earthquake (Mw=6.1) the proximity to failure on the Aceh segment of Sumatra Fault Zone (SFZ). We examine the problem of how one
Madlazim Madlazim
doaj  

What Is Better Than Coulomb Failure Stress? A Ranking of Scalar Static Stress Triggering Mechanisms from 105 Mainshock‐Aftershock Pairs [PDF]

open access: yesGeophysical Research Letters, 2017
AbstractAftershocks may be triggered by the stresses generated by preceding mainshocks. The temporal frequency and maximum size of aftershocks are well described by the empirical Omori and Bath laws, but spatial patterns are more difficult to forecast. Coulomb failure stress is perhaps the most common criterion invoked to explain spatial distributions ...
Brendan J. Meade   +4 more
openaire   +1 more source

Data supplement of "Tectonic context and possible triggering of the 2019-2020 Puerto Rico earthquake sequence"

open access: yes, 2021
Paper Abstract: An historically unprecedented seismic moment was released by crustal events of the 2019-2020 earthquake sequence near southwest Puerto Rico. The sequence involved at least two, and per-haps three interacting fault systems.
Rob M.A. Govers (Utrecht University)
core   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

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