Equation_Based_Modeling_2014.pptx
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Multiphysics and Single-Physics Simulation Platform • Mechanical, Fluid, Electrical, and Chemical Simulations • Multiphysics - Coupled Phenomena – Two or more physics phenomena that affect each other with no limitation on • which combinations • how many combinations • Single Physics – One integrated environment – different physics and applications – One day you work on Heat Transfer, next day Structural Analysis, then Fluid Flow, and so on – Same workflow for any type of modeling • Enables cross-disciplinary product development and a unified simulation platform
Highly Customizable and Adaptable • Create your own multiphysics couplings • Customize material properties and boundary conditions – Type in mathematical expressions, combine with look-up tables and function calls • User-interfaces for differential and algebraic equations • Parameterize on material properties, boundary conditions, geometric dimensions, and more • High-Performance Computing (HPC) – Multicore & Multiprocessor: Included with any license type – Clusters & Cloud: With floating network licenses
Product Suite – COMSOL 4. 4
When is Equation-Based Modeling Needed? • Try to avoid equation-based modeling if possible! – Using built-in physics interfaces enables ready-made postprocessing variables and other tools for faster model setup with much lower risk of human error • Applications that previously required equation-based modeling but now has a dedicated physics interface: – Fluid-Structure Interaction (Structural Mechanics Module, MEMS Module) – Surface adsorption and reactions (Chemical Reaction Engineering Module, Plasma Module) – Shell-Acoustics and Piezo-Acoustics (Acoustics Module) – Thermoacoustics (Acoustics Module) – and many more…
When is Equation-Based Modeling Needed? • Try to avoid equation-based modeling if possible! • But: we don’t have every imaginable physics equation builtinto COMSOL (yet!). So there is sometimes a need for custom modeling.
Custom-Modeling in COMSOL • COMSOL Multiphysics® allows you to model with PDEs or ODEs directly: – Use one of the equation-template user interfaces • You do *not* need to write “user-subroutines” in COMSOL to implement your own equation! – Benefit: COMSOL’s nonlinear solver gets all the nonlinear info with gradients and all. Faster and more robust convergence.
Customization Approaches • Four modeling approaches: 1. Ready-made physics interfaces 2. First principles with the equation templates 3. Start with ready-made physics interface and additional terms. 4. Start with a ready-made physics interface and add your own separate equation (PDE, ODE) to represent physics that is not already available as a ready-made application mode • Also: – The Physics Builder lets you create your own user interfaces that hides the mathematics for your colleagues and customers
Linear Model Problems: Fundamental Phenomena • Laplace’s equation • Heat equation • Wave equation • Helmholtz equation • Convective Transport equation
COMSOL PDE Modes: Graphical User Interfaces • Coefficient form • General form • Weak form • All these can be used for scalar equations or systems • Which to use? – Whichever is more convenient for you and your simulation needs
Coefficient Form inside domain on boundary • Coefficient Matching Example: Poisson’s equation inside subdomain on subdomain boundary Implies c=f=h=1 and all other coefficients are 0.
Example: Block: 10 x 1 x 1 PDE: default Poisson’s equation with unknown u. Dirichlet boundary condition everywhere: u=0
Model Wizard: Coefficient Form PDE with one dependent field variable u
Stationary study
Geometry: block 10 -by-1 -by 1. Units in meters (SI).
Coefficient Form PDE with c=1, a=0, f=1
Mass Coefficients are inactive due to Stationary Study
Dirichlet Boundary Condition
All boundaries: u=0
Automatic tet mesh …. or swept hex mesh
Control over shape function and element order
Stationary solution Plot of dependent field variable u on slices
Differentiate u with respect to x: d(u, x)
Recover option for derivatives switched on. Gives smoother derivative field.
d(u, x) with no Recover smoothing The Recover feature applies “polynomialpreserving recovery” on the partial derivatives (gradients). Higher-order approximation of the solution on a patch of mesh elements around each mesh vertex. Also available as ppr operator. d(u, x) with Recover smoothing
Second derivative: d(d(u, x), z)
Coefficient Form, Interpretations diffusion mass damping/ mass convection source absorption convection source
Coefficient Form, Structural Analysis Wave Equation elastic stress mass damped mass initial/thermal stress body force (gravitation) density damping coefficient stress, u= displacement vector stiffness, “spring constant”
Coefficient Form, Transport Diffusion Equation diffusion accumulation/storage convection source absorption convection source
Coefficient Form, Steady-State Equation
Coefficient Form, Frequency-Response Wave Equation diffusion Helmholtz term source Helmholtz equation: Wave number Wave length
Example: lambda=2. 5 k=2*pi/lambda a= - k^2 f=0 u=1 one end u=0 other end
User-defined Parameters: Wavelength: lambda=2. 5 m Wavenumber: k=2 p/lambda~2. 5 m-1
Coefficient Form PDE c=1 a=-k^2 f=0
Dirichlet Boundary Condition u=1 Oscillating wave with peak value 1 Spatial frequency is given by wavenumber k
Dirichlet Boundary Condition u=0 Mirror reflection
Solution u: wave with 4 wavelengths over 10 m block length
Text input field allows typing complex valued expressions. Here: u + superimposed higher frequency wave with wavenumber 5*k
abs() for absolute value (complex modulus)
Complex Arithmetics • Can compute: real(w) imag(w) abs(w) arg(w) conj(w)
General Form – A more compact formulation • inside domain • on domain boundary • For Poisson’s equation, the corresponding general form implies • All other coefficients are 0
Weak Form • Think of the weak form as a generalization of the principal of virtual work (for those familiar with that) with virtual displacement du – The test function n ~ du • Convection-diffusion equation: • Multiply by test function n and integrate: • Integrate by parts and use boundary conditions: • In COMSOL you can type the integrands of this integral expression: Weak Form PDE
Typing the Weak Form c*grad(u) ·grad(test(u))= c*grad(u) ·test(grad(u))= c*(ux*test(ux)+uy*test(uy)+uz*test(uz)) Note: COMSOL convention has the integral in the right-hand side so additional negative sign needed in the GUI
Modifying Variables and Equations • Enable Equation View on the Model Builder Show menu – Once enabled, Equation View stays enabled for new models • Variables, weak expressions and constraints can be modified – Modified rows are marked with warning signs • Use reset buttons to cancel modifications
Transient Diffusion Equation ~ Heat Equation diffusion accumulation/storage source
Example: c=1 da=1 f=0 “Cooling” u=0 at ends Transient 0 ->100 s “Heat Source” f=5+3*sin(2*pi*0. 1[Hz]*t)
Time Dependent study
3 overlapping blocks of length 4, 6, and 10 m COMSOL partitions these into 3 non-overlapping domains. Field and flux automatically continuous across interior boundaries
Cofficient Form PDE with no volume source: f=0
Cofficient Form PDE with no volume source: f=0
Mass Coefficients are here active due to Time Dependent Study
Superimposed source term: f=5+3*sin(2*pi*0. 1[Hz]*t)
u=0 at the ends
Time Dependent study settings: solve between 0 s and 100 s, output solution at every 0. 1 s. Underlying time stepping algorithm is automatic and controlled by user-defined tolerances.
Solution u at 38. 2 s
Sample solution inside domain using Domain Point Probe
Probe position controlled by slider control
Value of u vs. time at probe location
Equation Systems • COMSOL can handle systems of equations in all of – Coefficient Form – General Form – Weak Form or combinations of the above • Easy setup from Model Wizard
Model Wizard: Coefficient Form PDE with two dependent field variables u 1 & u 2
The Coefficient Form PDE for two dependent field variables. The PDE coefficients and sources are now matrices (or high-order tensor-like entities) and vectors.
Coefficient Form PDE for 2 variables in 2 D Space da c b The default coefficients corresponds to two decoupled Poisson’s equations. Fill out with nonlinear or offdiagonal coefficients, as well as nonlinear source terms for couplings. a f
Examples: Electrical Signals in a Heart, General Form PDE • Fitzhugh-Nagumo Equations • Landau-Ginzburg Equations
Simplified representation of a heart as ½ sphere + ½ ellipsoid
Fitzhugh-Nagumo Equations
Fitzhugh-Nagumo Equations Solution: u 1
Landau-Ginzburg Equations
Landau-Ginzburg Equations Solution: v 1
End of Presentation
Equation_Based_Modeling_2014.pptx