Jove
Visualize
Contact Us

Related Concept Videos

Typical Model Studies01:30

Typical Model Studies

155
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
155
Modeling and Similitude01:12

Modeling and Similitude

124
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
124
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

79
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
79
Yield Criteria for Ductile Materials under Plane Stress01:25

Yield Criteria for Ductile Materials under Plane Stress

124
In designing structural elements and machine parts using ductile materials, it is crucial to ensure that these components withstand applied stresses without yielding. Yielding is initially determined through a tensile test, which evaluates the material's response to uniaxial stress. However, tensile stress is insufficient when components face biaxial or plane stress conditions This condition requires advanced criteria to predict failure.
The Maximum Shearing Stress Criterion, also known as...
124
Bonding and Strength of Aggregate01:12

Bonding and Strength of Aggregate

118
The bond between aggregate particles and the cement matrix is significantly influenced by the shape and surface texture of the aggregates. High-strength concretes benefit from a rougher texture, which leads to stronger bonding due to greater adhesion. Angular aggregates with larger surface areas also enhance this bond. The bonding quality, however, is complex to assess as no universally accepted test exists. Good bonding is indicated when a crushed concrete specimen shows some aggregate...
118
Colloidal precipitates01:09

Colloidal precipitates

441
The high insolubility of some precipitates can result in an unfavorable relative supersaturation. This can lead to colloidal particles with a large surface-to-mass ratio, where adsorption is promoted. For instance, in the precipitation of silver chloride, silver ions are adsorbed on the surface of the colloidal particles, forming a primary layer. This layer attracts ions of opposite charge (such as nitrate ions), forming a diffuse secondary layer of adsorbed ions. This electric double layer...
441

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dynamic fractal structure of flocs under competing aggregation and breakup.

Water research·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 11, 2025

Determination of the Settling Rate of Clay/Cyanobacterial Floccules
06:00

Determination of the Settling Rate of Clay/Cyanobacterial Floccules

Published on: June 11, 2018

6.9K

Theoretical framework for modeling flocculation in cohesive sediments with variable yield strength.

Keivan Kaveh1, Andreas Malcherek1

  • 1Institute of Hydromechanics and Hydraulic Engineering, Universität der Bundeswehr München, Werner-Heisenberg-Weg 39, Neubiberg, 85577, Bavaria, Germany.

Water Research
|April 17, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new model for floc yield strength, improving flocculation predictions. The enhanced model accurately captures floc growth dynamics under various conditions.

Keywords:
Cohesive forcesCohesive sedimentFlocculationYield strength

More Related Videos

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
10:37

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

Published on: April 9, 2016

8.8K
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

8.6K

Related Experiment Videos

Last Updated: May 11, 2025

Determination of the Settling Rate of Clay/Cyanobacterial Floccules
06:00

Determination of the Settling Rate of Clay/Cyanobacterial Floccules

Published on: June 11, 2018

6.9K
Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts
10:37

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

Published on: April 9, 2016

8.8K
Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
11:51

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

Published on: February 22, 2018

8.6K

Area of Science:

  • Environmental science
  • Fluid dynamics
  • Geochemistry

Background:

  • Existing flocculation models often assume constant yield strength, limiting their accuracy under diverse flow and sediment conditions.
  • Floc yield strength is a critical parameter influencing floc breakup and overall temporal evolution.

Purpose of the Study:

  • To develop an improved flocculation model by incorporating a more accurate parameterization of floc yield strength.
  • To challenge previous assumptions of a direct correlation between floc size and yield strength.

Main Methods:

  • Derived a new theoretical formulation for cohesive sediment yield strength based on inter-particle bonding and realistic physical assumptions.
  • Integrated the new yield strength formulation into a flocculation model with a constant fractal dimension.
  • Validated the model using experimental data on the temporal evolution of floc size.

Main Results:

  • The proposed model demonstrates accurate predictive capabilities for equilibrium floc size and yield strength.
  • Significant improvements were observed in capturing the dynamic behavior of floc growth compared to the Son and Hsu (2009) model, particularly during the transient phase.
  • The model showed better consistency with measured floc sizes across multiple case studies.

Conclusions:

  • The new theoretical formulation provides a more robust understanding of floc formation processes.
  • The improved model enhances the accuracy of flocculation dynamics predictions, especially under variable conditions.
  • This research offers a more reliable approach to modeling cohesive sediment transport and behavior.