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Consortium for Mathematics and its Applications

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Resource Type: Expository Article
Primary Level: Undergraduate

Minimodule: Modeling Blood Flow in Vessels

Author: Katherine Rutherford


Abstract

We introduce cardiovascular fluid mechanics and explore a model of blood flow through a cylindrical vessel. Initially, we arrive at the Poiseuille-Hagen flow equation, and then we incorporate the Casson equation to account for the non-Newtonian properties of blood. The resulting second-order linear ordinary differential equations (ODEs) can be solved analytically and/or numerically. This Minimodule can be either a challenging group project for an introduction to differential equations course or a problem set for an undergraduate fluid mechanics course. This project could also be adapted for a graduate-level fluid mechanics course by beginning with the Navier-Stokes equations and requiring students to determine the applicable assumptions for the flow themselves.

Note: The information below was created with the assistance of AI.

Level of Mathematics

Overall Level:
Upper Undergraduate (Primary) - Intro Graduate (Adaptable)

Evidence:

  • Explicitly designed for:
    • “an introduction to differential equations course”
    • “an undergraduate fluid mechanics course”
    • “could also be adapted for a graduate-level course”

Mathematical sophistication:

  • Second-order linear ODEs
  • Multivariable calculus (gradients, divergence)
  • Navier–Stokes equations (simplified)
  • Analytical + numerical solution methods

Interpretation:

  • Core level: 2nd–3rd year undergraduate
  • Advanced extension: graduate fluid mechanics

Subject Matter
Core Mathematical Topics:

  • Differential Equations
    • Second-order ODEs
    • Boundary value problems
  • Calculus (Multivariable)
    • Derivatives, gradients, cylindrical coordinates
  • Fluid Mechanics Mathematics
    • Navier–Stokes equations
    • Poiseuille flow
  • Nonlinear Modeling
    • Casson equation (non-Newtonian fluids)

Supporting Topics:

  • Mathematical modeling
  • Piecewise-defined functions (plug flow region)
  • Integration and physical interpretation

Application Areas
Primary Application:

  • Biomedical Engineering / Cardiovascular Modeling
    • Blood flow in arteries, veins, capillaries

Broader Applications:

  • Fluid mechanics
    • Pipe flow, viscous flow systems
  • Medical diagnostics
    • Modeling non-invasive blood flow
  • Biomechanics
  • Computational fluid dynamics (CFD)

Real-world relevance:

  • Modeling replaces invasive measurement in medicine
  • Used to understand:
    • Aortic flow
    • Vessel behavior
    • Effects of blood properties

Prerequisites
Required Background:

Mathematics:

  • Calculus I–III:
    • Derivatives and integrals
    • Multivariable calculus basics
  • Differential equations:
    • Solving second-order ODEs
  • Algebraic manipulation

Physics / Engineering:

  • Basic mechanics (Newton’s laws)
  • Intro fluid mechanics concepts:
    • Pressure, viscosity, shear stress

Recommended:

  • Linear algebra (basic familiarity)
  • Numerical methods (optional extension)

Advanced (for full depth):

  • Partial differential equations
  • Vector calculus (, divergence, Laplacian)

Correlation to Mathematics Standards

US Common Core (High School)
Limited direct alignment
(above standard HS level), but connects to:

  • HSS-MD: Modeling with mathematics
  • HSA-CED: Creating equations
  • HSA-REI: Solving equations

Mainly through modeling and interpretation, not technical depth

AP Courses
AP Calculus BC

  • Differential equations (intro level)
  • Integration and modeling
  • Applications of derivatives

AP Physics (C: Mechanics / Fluids concepts)

  • Fluid flow intuition (not formal Navier–Stokes)

Undergraduate Standards
Strong alignment with:

  • Differential Equations courses
  • Fluid Mechanics (Engineering)
  • Mathematical Modeling courses
  • Applied Mathematics / Biomechanics

Mathematical Practices (Process Standards)
This module strongly emphasizes:

  • MP4: Model with mathematics
    • Real-world system → equations → solution
  • MP2: Reason quantitatively
    • Physical meaning of variables and parameters
  • MP1: Problem solving
    • Multi-step derivations and interpretation
  • MP7: Structure
    • Recognizing simplifications (assumptions → equations)
©2026 by COMAP, Inc.
The UMAP Journal 47.1
14 pages

Mathematics Topics:

Differential Equations

Application Areas:

Life Sciences & Medicine , Calculus

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