Fluid Dynamics
Fluid Dynamics - Related Videos
12:39
Computational Fluid Dynamics Simulations of Blood Flow in a Cerebral Aneurysm
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2023
Source: Joseph C. Muskat, Vitaliy L. Rayz, and Craig J. Goergen, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana The objective of this video is to describe recent advancements of computational fluid dynamic (CFD) simulations based on patient- or animal-specific vasculature. Here, subject-based vessel segmentations were created, and, using a combination of open-source and commercial tools, a high-resolution numerical solution was determined within a flow model.
10:09
Fast Imaging Technique to Study Drop Impact Dynamics of Non-Newtonian Fluids
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Cited by 2 •
2014
Drop impact of non-Newtonian fluids is a complex process since different physical parameters influence the dynamics over a very short time (less than one tenth of a millisecond). A fast imaging technique is introduced in order to characterize the impact behaviors of different non-Newtonian fluids.
06:37
Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Cited by 2 •
2021
Melts and fluids are ubiquitous vectors of mass transport in natural systems. We have developed an open-source package to analyze ab initio molecular-dynamics simulations of such systems. We compute structural (bonding, clusterization, chemical speciation), transport (diffusion, viscosity) and thermodynamic properties (vibrational spectrum).
05:43
Real-Time Dynamic Collection of Hippocampal Extracellular Fluid from Conscious Rats Using a Microdialysis System
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2022
The protocol here provides a detailed real-time dynamic sampling of extracellular fluid from the hippocampus of awake rats using a microdialysis system.
12:03
Dynamics of Structures
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2023
Source: Roberto Leon, Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA It is rare nowadays that a whole year goes by without a major earthquake event wreaking havoc somewhere around the world. In some cases, like the 2005 Banda Ache earthquake in Indonesia, the damage involved large geographic areas and casualties in the six figures. In general, the number and intensity of earthquakes is not increasing, however, the vulnerability of the built environment is...
FAQs
A pressure gradient drives fluid from regions of higher pressure toward lower pressure, while viscosity resists motion between adjacent fluid layers and along boundaries. Inertia tends to maintain motion and can influence how strongly flow responds to changes in direction or geometry. Their balance helps predict whether transport remains efficient or encounters increased resistance in vessels, airways, or microscopic channels.
Changes in vessel diameter, branching, or local shape modify the space available for movement and redistribute pressure and resistance. A narrowed or irregular passage can therefore alter flow speed and direction, potentially reducing transport through the affected region. Modeling these geometric effects helps researchers connect structural changes with disrupted nutrient delivery, gas exchange, or other physiological functions.
Fluid motion is shaped not only by internal forces but also by interactions with surrounding boundaries. Vessel walls, airway surfaces, tissue channels, and other interfaces can redirect movement and contribute to resistance. Representing these boundaries in a fluid-dynamic model allows researchers to examine how structure controls transport and why the same driving force may produce different outcomes in different biological compartments.
In circulation, fluid-dynamic analysis relates pressure differences, viscosity, resistance, and vessel geometry to the movement of blood. Researchers can use these relationships to examine how altered vessel structure or fluid properties affects transport through the vascular system. The resulting analysis provides a way to investigate how disrupted flow may influence nutrient delivery and broader physiological function.
Models of airflow apply pressure gradients, resistance, viscosity, inertia, and airway boundaries to examine how gases move through the respiratory system. Comparing flow under different structural or physical conditions can show how efficiently air reaches relevant regions. This connects airway transport with gas exchange and helps clarify how changes in geometry or fluid behavior may impair respiratory function.
These models extend beyond blood and airways to analyze cerebrospinal fluid movement and transport through microscopic channels and tissues. By relating forces, viscosity, boundaries, and geometry to flow patterns, researchers can evaluate how substances or signals move through confined biological spaces. Such analyses support investigation of cellular signaling, nutrient distribution, and transport changes associated with disease.