Jove
Visualize
Contact Us
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 Concept Videos

Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
Typical Model Studies01:30

Typical Model Studies

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.
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
Temperature is a key factor in CO2 solubility. In this case, the CO2 gas and the liquid are cooled to 20°C. Lower temperatures enhance...
Newtonian Fluid: Problem Solving01:18

Newtonian Fluid: Problem Solving

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...
Boundary Layer Characteristics01:18

Boundary Layer Characteristics

When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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.

You might also read

Related Articles

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

Sort by
Same author

Platelet deposition in non-parallel flow: influence of shear stress and changes in surface reactivity.

Journal of mathematical biology·2008
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

A free boundary problem modeling thrombus growth: model development and numerical simulation using the level set

Frédéric Frank Weller1

  • 1Department of Applied Mathematics, University of Heidelberg, Im Neuenheimer Feld 293, Heidelberg, Germany. frederic.weller@iwr.uni-heidelberg.de

Journal of Mathematical Biology
|January 8, 2010
PubMed
Summary

Mathematical models of platelet deposition now incorporate thrombus growth, improving accuracy. This study develops a free boundary problem to better match experimental evidence in primary hemostasis.

More Related Videos

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment
10:23

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment

Published on: December 1, 2023

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
09:38

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time

Published on: February 14, 2017

Related Experiment Videos

Last Updated: Jun 17, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
13:07

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression

Published on: January 15, 2022

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment
10:23

A Computational Modeling Approach to Investigate the Influence of Hyperthermia on the Tumor Microenvironment

Published on: December 1, 2023

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time
09:38

A Microfluidic Flow Chamber Model for Platelet Transfusion and Hemostasis Measures Platelet Deposition and Fibrin Formation in Real-time

Published on: February 14, 2017

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Hemostasis Research

Background:

  • Mathematical models of platelet deposition often neglect critical factors like shear stress, surface saturation, and thrombus growth.
  • Previous models focusing solely on shear stress show qualitative agreement but quantitative discrepancies with experimental data.
  • Incorporating surface saturation improved predictions, but neglecting thrombus growth remained a significant limitation.

Purpose of the Study:

  • To develop a more accurate mathematical model for platelet deposition by including thrombus growth.
  • To address the quantitative discrepancies observed in previous models of platelet aggregation.
  • To enhance the understanding of primary hemostasis by coupling flow dynamics with platelet adhesion and aggregate growth.

Main Methods:

  • Development of a free boundary problem to model thrombus growth dynamically.
  • Numerical simulations utilizing the level set method for the free boundary problem.
  • Validation of model predictions against experimental measurements in stagnation point flow and tubular expansions.

Main Results:

  • The developed free boundary model successfully incorporates thrombus growth.
  • Numerical simulations show strong agreement with experimental data in various flow conditions.
  • The model demonstrates the crucial interplay between blood flow, platelet adhesion, and aggregate formation.

Conclusions:

  • The coupled model accurately predicts platelet deposition by accounting for shear stress, surface saturation, and thrombus growth.
  • This approach significantly improves the quantitative matching of mathematical models to experimental hemostasis data.
  • The findings highlight the importance of considering thrombus growth for realistic modeling of primary hemostasis.