Results 61 to 70 of about 6,228,427 (296)

TEM characterisation of near surface deformation resulting from lubricated sliding wear of aluminium alloy and composites [PDF]

open access: yes, 2007
Aluminium alloy composites have been extensively investigated for use in tribo-contact applications, however little detailed literature exists on the sub-surface microstructural evolution as a result of lubricated sliding wear.
Rainforth, W.M.   +7 more
core   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Surface displacements and source parameters of the 2003 Bam (Iran) earthquake from Envisat advanced synthetic aperture radar imagery [PDF]

open access: yes
The M w 6.6, 26 December 2003 Bam (Iran) earthquake was one of the first earthquakes for which Envisat advanced synthetic aperture radar (ASAR) data were available.
Fielding, E. J.   +4 more
core   +1 more source

Integration of InSAR time series analysis and water vapour correction for mapping postseismic deformation after the 2003 Bam (Iran) Earthquake [PDF]

open access: yes, 2009
Atmospheric water-vapor effects represent a major limitation of interferometric synthetic aperture radar (InSAR) techniques, including InSAR time-series (TS) approaches (e.g., persistent or permanent scatterers and small-baseline subset).
Fielding, E.   +5 more
core   +2 more sources

Assessing Fire‐Induced Permafrost Ground Deformation and Environmental Drivers Using Interferometric Synthetic Aperture Radar and Machine Learning

open access: yesEarth and Space Science
Arctic fires in permafrost landscapes have become more frequent in recent years with record fire years in Eastern Siberia in 2019, 2020 and 2021. The consumption of organic layer and charring of the landscape can deepen active layer and long‐term ...
Sonam Wangchuk   +6 more
doaj   +1 more source

Ground Surface Deformation Prediction Using Machine Learning Approaches

open access: yesJournal of Electronic & Information Systems
This study aims to investigate the use of machine learning algorithms to predict the settlements of the ground surface triggered by tunneling using a shielding method. First, a 2D tunnel calculation scheme was proposed for nonlinear construction stage analysis using the “contraction” load, which can be used to simulate the soil volume loss.
Miller Mark   +4 more
openaire   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev   +2 more
wiley   +1 more source

Ground compaction due to vibrodriving of piles [PDF]

open access: yes, 1996
Civil engineering construction frequently requires the use of piles to carry structural loads to stronger ground strata or to control lateral ground movements. A variety of techniques are available to install piles into the ground. Of central interest to
Bement, R.A.P., Bement, R
core  

Surface roughness prediction in milling based on tool displacements [PDF]

open access: yes, 2011
In this paper, an experimental device using non-contact displacement sensors for the investigation of milling tool behaviour is presented. It enables the recording of high frequency tool vibrations during milling operations.
MOREAU, Vincent   +3 more
core   +1 more source

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