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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ali, Muhammad
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2024Synergetic and anomalous effect of <scp>CNTs</scp> in the sulphide‐based binary composite for an extraordinary and asymmetric supercapacitor devicecitations
- 2024Nanoparticle's efficacy in the suppression of heavy metals that affect breast cancer progression.citations
- 2023Exploring the potential of hydrothermally synthesized AgZnS@Polyaniline composites as electrode material for high-performance supercapattery devicecitations
- 2023Mechanically robust and highly elastic thermally induced shape memory polyurethane based composites for smart and sustainable robotic applicationscitations
- 2023Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristicscitations
- 2023Biologically potent organotin(<scp>iv</scp>) complexes of <i>N</i>-acetylated β-amino acids with spectroscopic, X-ray powder diffraction and molecular docking studiescitations
- 2023Baseline ImPACT Composite Scores in Student-Athletes With Attention-Deficit/Hyperactivity Disordercitations
- 2023Advanced High‐Energy All‐Solid‐State Hybrid Supercapacitor with Nickel‐Cobalt‐Layered Double Hydroxide Nanoflowers Supported on Jute Stick‐Derived Activated Carbon Nanosheetscitations
- 2022Hybrid composites based on textile hard waste: use as sunshadescitations
- 2020Optimization of tensile properties of bagasse fiber-reinforced composite using response surface methodology
- 2020Investigation of fiber orientation and void content in bagasse fiber composites using image analysis technique
- 2016Self-assembled Multilayers of Silica Nanospheres for Defect Reduction in Non- and Semipolar Gallium Nitride Epitaxial Layers.
- 2009Maskless roughening of sapphire substrates for enhanced light extraction of nitride based blue LEDscitations
- 2008Enhanced electroluminescence in 405 nm InGaN/GaN LEDs by optimized electron blocking layercitations
Places of action
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article
Prediction of Coal Dilatancy Point Using Acoustic Emission Characteristics
Abstract
<p>This research offers a combination of experimental and artificial approaches to estimate the dilatancy point under different coal conditions and develop an early warning system. The effect of water content on dilatancy point was investigated under uniaxial loading in three distinct states of coal: dry, natural, and water-saturated. Results showed that the stiffness-stress curve of coal in different states was affected differently at various stages of the process. Crack closure stages and the propagation of unstable cracks were accelerated by water. However, the water slowed the elastic deformation and the propagation of stable cracks. The peak strength, dilatancy stress, elastic modulus, and peak stress of natural and water-saturated coal were less than those of dry. An index that determines the dilatancy point was derived from the absolute strain energy rate. It was discovered that the crack initiation point and dilatancy point decreased with the increase in acoustic emission (AE) count. AE counts were utilized in artificial neural networks, random forest, and k-nearest neighbor approaches for predicting the dilatancy point. A comparison of the evaluation index revealed that artificial neural networks prediction was superior to others. The findings of this study may be valuable for predicting early failures in rock engineering.</p>