Multi Scale Modeling for Granular Flows

2008 ◽  
Author(s):  
Xiang Zhao ◽  
Sijun Zhang
Keyword(s):  
Granular Materials ◽  
Numerical Models ◽  
Granular Flows ◽  
Particle Interactions ◽  
Multi Scale ◽  
Scale Modeling ◽  
Discrete Flow ◽  
Computational Fluid Dynamics Cfd ◽  
As Stress ◽  
Macroscopic Continuum

A numerical method has been developed to predict granular flows. This work involves the combination of the Discrete Element Method (DEM) to describe the discrete flow of the granular solids and Computational Fluid Dynamics (CFD) to describe the continuum flow of the interstitial fluid. The numerical models can satisfactorily describe granular materials for all flow regimes, quantify fluid-particle and particle-particle interactions and their effects on the granular materials via detailed micro-dynamic analysis and finally provide the macroscopic continuum equations with constitutive equations such as stress, strain and other physical quantities describing the state of the system based on a newly developed micro-macro averaging procedure.

Multi-scale modeling and rendering of granular materials

2015 ◽  
Vol 34 (4) ◽  
pp. 1-13 ◽  
Author(s):  
Johannes Meng ◽  
Marios Papas ◽  
Ralf Habel ◽  
Carsten Dachsbacher ◽  
Steve Marschner ◽  
...  
Keyword(s):  
Granular Materials ◽  
Multi Scale ◽  
Scale Modeling ◽  
Multi Scale Modeling

scholarly journals Multi-scale Modeling Toolbox for Single Neuron and Subcellular Activity under (repetitive) Transcranial Magnetic Stimulation

2020 ◽  
Author(s):  
Sina Shirinpour ◽  
Nicholas Hananeia ◽  
James Rosado ◽  
Christos Galanis ◽  
Andreas Vlachos ◽  
...  
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Electric Fields ◽  
Magnetic Stimulation ◽  
Numerical Models ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Single Pulse ◽  
Neuron Models ◽  
Multi Scale ◽  
Scale Modeling ◽  
Multi Scale Modeling

AbstractTranscranial Magnetic Stimulation (TMS) is a non-invasive brain stimulation technique widely used in research and clinical applications. However, its mechanism of action and the neural response to TMS are still poorly understood. Multi-scale modeling can complement experimental research and provide a framework between the physical input parameters and the subcellular neural effects of TMS. At the macroscopic level, sophisticated numerical models exist to estimate the induced electric fields in whole-brain volume conductor models. However, multi-scale computational modeling approaches to predict TMS cellular and subcellular responses, crucial to understanding TMS plasticity inducing protocols, are not available so far. Here, we develop a multi-scale Neuron Modeling for TMS toolbox (NeMo-TMS) that enables researchers to easily generate accurate neuron models from morphological reconstructions, couple them to the external electric fields induced by TMS, and to simulate the cellular and subcellular responses of the neurons. Both single-pulse and rTMS protocols can be simulated and results visualized in 3D. We openly share our toolbox and provide example scripts and datasets for the user to explore. NeMo-TMS toolbox (https://github.com/OpitzLab/NeMo-TMS) allows researchers a previously not available level of detail and precision in realistically modeling the physical and physiological effects of TMS.

Multi-Scale Modeling of Cementitious Materials (Briefing Chart)

2014 ◽  
Author(s):  
M. M. Shahzamanian ◽  
T. Tadepalli ◽  
A. M. Rajendran ◽  
W. D. Hodo ◽  
R. Mohan ◽  
...  
Keyword(s):  
Cementitious Materials ◽  
Multi Scale ◽  
Scale Modeling ◽  
Multi Scale Modeling

Multi-Scale Modeling of Neural Structure in X-Ray Imagery

2021 ◽  
Author(s):  
Aishwarya Balwani ◽  
Joseph Miano ◽  
Ran Liu ◽  
Lindsey Kitchell ◽  
Judy A. Prasad ◽  
...  
Keyword(s):  
Neural Structure ◽  
X Ray ◽  
Multi Scale ◽  
Scale Modeling ◽  
Multi Scale Modeling

scholarly journals Flow and Particle Modelling of Dry Powder Inhalers: Methodologies, Recent Development and Emerging Applications

Pharmaceutics ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 189
Author(s):  
Zhanying Zheng ◽  
Sharon Shui Yee Leung ◽  
Raghvendra Gupta
Keyword(s):  
Dry Powder Inhaler ◽  
Research Direction ◽  
Particle Methods ◽  
Future Research ◽  
High Dose ◽  
Dry Powder ◽  
Multi Scale ◽  
Wide Range ◽  
Computational Fluid Dynamics Cfd ◽  
Discrete Element Methods

Dry powder inhaler (DPI) is a device used to deliver a drug in dry powder form to the lungs. A wide range of DPI products is currently available, with the choice of DPI device largely depending on the dose, dosing frequency and powder properties of formulations. Computational fluid dynamics (CFD), together with various particle motion modelling tools, such as discrete particle methods (DPM) and discrete element methods (DEM), have been increasingly used to optimise DPI design by revealing the details of flow patterns, particle trajectories, de-agglomerations and depositions within the device and the delivery paths. This review article focuses on the development of the modelling methodologies of flow and particle behaviours in DPI devices and their applications to device design in several emerging fields. Various modelling methods, including the most recent multi-scale approaches, are covered and the latest simulation studies of different devices are summarised and critically assessed. The potential and effectiveness of the modelling tools in optimising designs of emerging DPI devices are specifically discussed, such as those with the features of high-dose, pediatric patient compatibility and independency of patients’ inhalation manoeuvres. Lastly, we summarise the challenges that remain to be addressed in DPI-related fluid and particle modelling and provide our thoughts on future research direction in this field.

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