- deprecate dimensionedType constructors using an Istream in favour of
versions accepting a keyword and a dictionary.
Dictionary entries are almost the exclusive means of read
constructing a dimensionedType. By construct from the dictionary
entry instead of doing a lookup() first, we can detect possible
input errors such as too many tokens as a result of a input syntax
error.
Constructing a dimensionedType from a dictionary entry now has
two forms.
1. dimensionedType(key, dims, dict);
This is the constructor that will normally be used.
It accepts entries with optional leading names and/or
dimensions. If the entry contains dimensions, they are
verified against the expected dimensions and an IOError is
raised if they do not correspond. On conclusion, checks the
token stream for any trailing rubbish.
2. dimensionedType(key, dict);
This constructor is used less frequently.
Similar to the previous description, except that it is initially
dimensionless. If entry contains dimensions, they are used
without further verification. The constructor also includes a
token stream check.
This constructor is useful when the dimensions are entirely
defined from the dictionary input, but also when handling
transition code where the input dimensions are not obvious from
the source.
This constructor can also be handy when obtaining values from
a dictionary without needing to worry about the input dimensions.
For example,
Info<< "rho: " << dimensionedScalar("rho", dict).value() << nl;
This will accept a large range of inputs without hassle.
ENH: consistent handling of dimensionedType for inputs (#1083)
BUG: incorrect Omega dimensions (fixes#2084)
Adds overset discretisation to selected physics:
- diffusion : overLaplacianDyMFoam
- incompressible steady : overSimpleFoam
- incompressible transient : overPimpleDyMFoam
- compressible transient: overRhoPimpleDyMFoam
- two-phase VOF: overInterDyMFoam
The overset method chosen is a parallel, fully implicit implementation
whereby the interpolation (from donor to acceptor) is inserted as an
adapted discretisation on the donor cells, such that the resulting matrix
can be solved using the standard linear solvers.
Above solvers come with a set of tutorials, showing how to create and set-up
simple simulations from scratch.
