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Related Concept Videos

Types of Fluids01:27

Types of Fluids

595
Fluids can be classified into Newtonian and non-Newtonian fluids based on their response to shear stress. Newtonian fluids have a linear relationship between shear stress and the shear strain rate, following Newton's law of viscosity. Their viscosity remains constant regardless of the shear rate, making their behavior predictable and easier to analyze. Common examples include water, air, oil, and gasoline.
In contrast, non-Newtonian fluids do not follow Newton's law of viscosity, and...
595
Viscosity of Fluid01:19

Viscosity of Fluid

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Viscosity measures the resistance a fluid offers to flow and deformation. It results from internal friction between layers of fluid moving relative to one another. Dynamic viscosity, denoted by the Greek letter mu (μ), quantifies the force needed to move one fluid layer over another. For Newtonian fluids like water and air, the relationship between the shearing stress and the rate of shearing strain is linear, meaning their viscosity remains constant regardless of the applied stress.
845
Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity01:15

Relation between Poisson's ratio, Modulus of Elasticity and Modulus of Rigidity

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Deformation occurs in axial and transverse directions when an axial load is applied to a slender bar. This deformation impacts the cubic element within the bar, transforming it into either a rectangular parallelepiped or a rhombus, contingent on its orientation. This transformation process induces shearing strain. Axial loading elicits both shearing and normal strains. Applying an axial load instigates equal normal and shearing stresses on elements oriented at a 45° angle to the load axis.
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Viscosity01:17

Viscosity

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When water is poured into a glass, it falls freely and quickly, whereas if honey or maple syrup is poured over a pancake, it flows slowly and sticks to the surface of the container. This difference in the flow of different kinds of liquids arises due to the fluid friction between the liquid layers and the liquid and the surrounding material. This property of fluids is called fluid viscosity. In this example, water has a lower viscosity than honey and maple syrup.
The SI unit of viscosity is...
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Major Losses in Pipes01:28

Major Losses in Pipes

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When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to...
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Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

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Newtonian fluids exhibit a constant viscosity, meaning their shear stress and shear strain rate are directly proportional. This property ensures a predictable and stable response to applied forces, maintaining a linear relationship between force and flow. Examples include water, air, and light oils, consistently demonstrating this proportional behavior regardless of external conditions.
A velocity gradient forms within the fluid when a Newtonian fluid is placed between two parallel plates, with...
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Related Experiment Video

Updated: Oct 30, 2025

Macro-Rheology Characterization of Gill Raker Mucus in the Silver Carp, Hypophthalmichthys molitrix
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Wealth Rheology.

Zdzislaw Burda1, Malgorzata J Krawczyk1, Krzysztof Malarz1

  • 1Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Mickiewicza 30, PL-30059 Kraków, Poland.

Entropy (Basel, Switzerland)
|July 2, 2021
PubMed
Summary
This summary is machine-generated.

This study models wealth rank changes over time using statistical methods. Economic factors like wealth exchange rates and growth volatility significantly impact how rankings shift, as seen in real-world data.

Keywords:
Bouchaud–Mézard modelGini coefficientrank correlationswealth distributionwealth inequality

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Area of Science:

  • Economics
  • Sociology
  • Statistical Modeling

Background:

  • Understanding wealth distribution dynamics is crucial for economic analysis.
  • Quantifying changes in wealth rankings over time requires robust statistical measures.

Purpose of the Study:

  • To model and analyze wealth rank correlations in a macroeconomic context.
  • To investigate the influence of economic parameters on wealth dynamics and ranking stability.

Main Methods:

  • Utilized Kendall's τ, Spearman's ρ, Goodman-Kruskal's γ, and overlap ratio for rank correlation analysis.
  • Developed a simple macroeconomic model to simulate wealth flow and reshuffling.
  • Applied methods to real-world data, including lists of wealthiest individuals from Poland, Germany, the USA, and globally.

Main Results:

  • Demonstrated that wealth flow dynamics and ranking reshuffling speed are contingent upon model parameters.
  • Identified wealth exchange rate and wealth growth volatility as key determinants of ranking changes.
  • Observed distinct patterns in wealth rheology across different countries and global rankings.

Conclusions:

  • The study provides a quantitative framework for understanding wealth rank dynamics.
  • Economic parameters significantly influence the stability and fluidity of wealth distributions.
  • Analysis of real-world data validates the model's insights into wealth rheology.