dolfin team mailing list archive

["Johan Hoffman" <jhoffman@xxxxxxxxxx>]

Great work Johan!

I hope to be able to try it out as soon as possible. In particular I'll
start working on a fluid-structure interaction problem with the fluid
(guess what...) in a tube is interacting with its elastic boundary,
probably modelled as a membrane. Hopefully Ko would be suitable to handle
the structure problem?

/Johan


> Hi!
>
> I've put up my dissertation:
>
> http://www.math.chalmers.se/~johanjan/publications/dissertation.pdf
>
> One of the included papers describes aspects of DOLFIN as an automated
> problem solving environment. Some aspects of that are automatic
> time-(and space-)discretization of time-dependent PDE and the ability
> to use Python (or an arbitrary language) to access the DOLFIN
> interface.
>
> TimeDependentPDE abstracts the automatic discretization. Currently the
> design is that the user implements the right-hand side f() of the PDE:
>
> dot(u) = f(u, grad(u))
>
> where grad(u) represents that f(u) can also be a function of
> space-derivatives of u.
>
> Right now I have implemented multi-field PDEs manually, i.e. by having
> a different form for the different fields, and keeping track of the
> fields separately. This should be solved by subfunctions, and is in
> the plan.
>
> I have moved to implementing solvers (the elasticity solvers for
> example) in Python and this is working very well. Certain special
> functions where you perform some manual computation which is not
> represented in the form can be implemented as static functions in C++
> and published as a Python API using SWIG. My plan is to do as much
> development as possible in Python.
>
> Ko is also now an "official" component of FEniCS, representing an
> automated solid mechanics solver with support for large deformation,
> elasto-visco-plasto materials and contact with an efficiency
> comparable to a mass-spring solver. I have plans to develop some
> real-time application around Ko.
>
>   Johan
>
>
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