Numerical samples composed of elongated ellipsoids before and after triaxial compression.

Numerical samples composed of elongated ellipsoids before and after triaxial compression.

<p>(a) Samples with different particle morphologies (Shape1-Shape5); (b) Samples with different particle sizes (Size1-Size5).</p>

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Bibliografische gegevens
Hoofdauteur:	Yongfeng Zhu (7361045) (author)
Andere auteurs:	Wei Xiong (58411) (author), Wen Fan (586570) (author)
Gepubliceerd in:	2025
Onderwerpen:	Biophysics Cell Biology Molecular Biology Biotechnology Evolutionary Biology Developmental Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified varied contact patterns exhibited complex dependencies discrete elemental analysis discrete element method based contact model 82 &# 8201 78 &# 8201 20 &# 8211 triaxial compression simulations modified contact model larger equivalent diameters aspect ratio decreased sphericity decreased numerical simulations modified hertz equivalent diameter theoretical predictions significantly influence sample scale peak stress morphology due mechanical behavior granular materials fundamental characteristics findings enhance dem ).
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The force chain distributions of different numerical samples composed of elongated ellipsoids with different particle morphologies and particle sizes before shearing and after loading.
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Deviatoric stress-strain curves of numerical samples composed of elongated ellipsoids with different particle morphologies and particle sizes.
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Two ellipsoidal particles in contact.
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Different contact patterns for two ellipsoids.
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The CDF of normal and tangential contact forces in numerical specimens after compression considering different particle morphologies: (a) normal contact force; (b) tangential contact force; and different particle sizes: (c) normal contact force; (d) tangential contact force.
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Different ellipsoidal particles with De = 6.30 mm used in the discrete element simulations.
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Fabric anisotropy evolution of numerical samples with different shapes and sizes.
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Stress concentration factor value in the numerical samples with different shapes and sizes.
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Comparative analysis of the proposed modified contact model against previous approaches.
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Critical state parameters obtained from DEM simulations.
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Parameters used in the simulations.
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Average contact force and percentage of strong contact force under different conditions: (a) different particle shapes, (b) different particle sizes.
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The tangential force between two particles with different equivalent diameters for P3: (a) elastic tangential contact force; (b) viscous tangential contact force.
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The tangential force between two particles with different aspect ratios and sphericities for De = 6.30 mm: (a) elastic tangential contact force; (b) viscous tangential contact force.
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The normal force between two particles with different equivalent diameters for P3: (a) hertznormal contact force; (b) normal viscous contact force.
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The normal force between two particles with De = 6.30 mm for different aspect ratios and sphericities: (a) hertz normal contact force; (b) normal viscous contact force.
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Investigation of the MB adsorption by PS and PS/Fe<sub>3</sub>O<sub>4</sub> composites. (a) FTIR spectra of PS powder before and after MB adsorption and (b) FTIR spectra of MB before and after treatment with Fe<sub>3</sub>O<sub>4</sub>/PS composites.
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(a) UV-vis spectra of 25 mg/L of MB solution before and after treatment with Fe<sub>3</sub>O<sub>4</sub>, PS powder, and different Fe<sub>3</sub>O<sub>4</sub>/PS composites, and (b) the effect of the type of adsorbent on the removal efficiency.
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Effect of adsorbent dose and pH on the removal efficacy. (a) UV-vis spectra of 25 mg/L of MB solution before and after treatment with different doses of Fe<sub>3</sub>O<sub>4</sub>/PS composites (from 4 mg to 40 mg) at 25 °C for 15 min, (b) the relationship between the adsorbent dose and the removal efficiency of MB, and (c) the effect of the pH on the removal efficiency.
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The factors affecting the adsorption. (a) Effect of contact time on MB removal efficiency by the Fe₃O₄/PS adsorbent. Part (b) the changes in the adsorption capacity of MB over time at pH 7.
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Adsorption kinetics and isotherms. (a) The influence of MB equilibrium concentration on the adsorption capacity of the Fe₃O₄/PS adsorbent, (b & c) present the Freundlich and Sips isotherm models, respectively, for MB adsorption on the Fe₃O₄/PS adsorbent (adsorbent mass of 15 mg, a solution volume of 25 mL, and a contact time of 25 min), (d) Effect of equilibrium concentrations on the adsorption of MB onto the synthesized sorbent, (e) the adsorption isotherm, and (f) Langmuir isotherm C- Sips d- DR e- RP and f Temkin isotherms.
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(A) Development of Fe<sub>3</sub>O<sub>4</sub>/PS adsorbent for MB dye removal, (B) Methylene blue dye structure, and (C) Methyl Orange dye structure.
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EDX of (a) PS powder, (b) 5% Fe<sub>3</sub>O<sub>4</sub>/PS composite, (c) 10% Fe<sub>3</sub>O<sub>4</sub>/PS composite, (d) 20% Fe<sub>3</sub>O<sub>4</sub>/PS composite, and (e) 30% Fe<sub>3</sub>O<sub>4</sub>/PS composite.
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Show the BET N2 adsorption/desorption isotherm for calculating the surface area of Fe<sub>3</sub>O<sub>4</sub> (a), and the XRD pattern of Fe<sub>3</sub>O<sub>4</sub> (b).
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SEM image of (a) PS powder, (b) 5% Fe<sub>3</sub>O<sub>4</sub>/PS composite, (c) 10% Fe<sub>3</sub>O<sub>4</sub>/PS composite, (d) 20% Fe<sub>3</sub>O<sub>4</sub>/PS composite, and (e) 30% Fe<sub>3</sub>O<sub>4</sub>/PS composite.
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The study includes the Geoaccumulation Index of environmental liabilities.
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Potential ecological risk.
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Pollutant Load Index (<i>PLI</i>) for five sites.
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Localization of rural communities near environmental liabilities and bodies of water.
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Location of Mining Environmental Liabilities (MELs) and Sampling Sites in the Tacna Region, Peru.
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