Title: Potential Driven Flows Through Bifurcating Networks
1Potential Driven Flows Through Bifurcating
Networks
- Aerospace and Mechanical Engineering Graduate
Student Conference 2006 - 19 October, 2006
- Jason Mayes
- Advisor Dr. Mihir Sen
2Outline
- Background/Motivation
- Objectives
- A self-similar model
- Simplifying the model
- Forms of similarity
- Examples
- Conclusions / Future work
3Background / Motivation self-similarity
- Natural physical examples
- Broccoli
- Artificially occurring examples
- Artificial terrain
- Non-physical examples
- Data series
- Music
"When each piece of a shape is geometrically
similar to the whole, both the shape and the
cascade that generate it are called
self-similar." - Mandelbrot
From Hofstadter's classic, Godel, Escher, Bach
"A fugue is like a canon, in that it is usually
based on one theme which gets played in different
voices and different keys, and occasionally at
different speeds or upside down or backwards."
4Background / Motivation self-similar systems
- Self-similarity in engineering
- many systems can be considered self-similar over
several scales - Large scale problems
- as systems grow, solutions become more difficult
- can we simplify?
5Objectives simplification and reduction
- Take advantage of similarity to simplify analysis
- Use known structure / behavior to simplify
- Using structure
- Extending behavior from one scale to another
- Reduce large equation sets
6A self-similar model a model for analysis
- The bifurcating tree geometry
- Geometry seen in a wide variety of applications
- Potential-driven flow or transfer
- ex. heat, fluid, energy, ect.
- Conservation at bifurcation points
7A self-similar model potential-driven transfer
- Assumptions
- Transfer governed by a linear operator
- i.e., for each branch
8A self-similar model simplification
- Goal is to reduce or simplify the system to the
single equation
Generation two (N2) Network
9A self-similar model simplification
Apply recursively to eliminate q1,1 and q2,2
10A self-similar model a simple result
- Result of simplification for N2 network
- For the more general N-generation network
- For integro-differential operators
- Process repeated in the Laplace domain
- Inverses become simple algebraic inverses
- Can be written as a continued fraction
11Forms of similarity within and between
- Similarity can be used to further simplify
- Two forms of similarity
- Similarity within a generation
- Symmetric networks the operators within a
generation are identical - Asymmetric networks the operators within a
generation are not identical - Similarity between generations
- Generation dependent operators depend on the
generation in which the operator occurs and
change between successive generations - Generation independent operators do not change
between generations - Four possible combinations
- Symmetric with generation independent operators
- Asymmetric with generation independent operators
- Symmetric with generation dependent operators
- Asymmetric with generation independent operators
12Examples tree of resistors
- Symmetric with generation independent operators
13Examples tree of resistors
- Tree constructed of identical resistors
- Current i(t) through each branch is driven by the
potential difference v(t) across the branch - Each branch governed by
- For an N generational tree of resistors
- For an infinite tree of resistors
14Examples fractional order visco-elasticity models
- Asymmetric with generation independent operators
15Examples fractional order visco-elasticity models
- Tree is composed of springs and dashpots
- Branches governed by linear operators
- Result is a fractional-order visco-elasticity
model
16Examples laminar pipe flows in branching networks
- Symmetric with generation dependent operators
17Examples laminar pipe flows in branching networks
- Each pipe governed by
- In Laplace domain
- In the time domain
18Conclusions / Future Work
- Known behavior on one scale can be extended to
better understand behavior on another - Similarity or structure can be used to help
simplify - For equation sets patterns or structures can be
used to simplify - Future work
- Analyze other self-similar geometries
- Study probabilistically self-similar geometries
19Questions?