Generates sample positions from points specified in a file as Abaqus mesh
points.
Example usage:
sets
{
cone25 // user-specified set name
{
type abaqusMesh;
file "abaqusMesh.inp";
// Optional entries
// Scale, e.g. mm to m
scale 0.001;
// Search distance when the sample point is not located in a cell
maxDist 0.25;
...
}
}
Write coordSet(s) as Abaqus point fields
Example usage
T
{
type sets;
setFormat abaqus;
fields (T);
sets
{
...
}
}
\endverbatim
Optional format options
\verbatim
formatOptions
{
abaqus
{
format ascii;
// Optional entries
// Custom header: $ entries are substituions
header
(
"** OpenFOAM abaqus output"
"** Project $FOAM_CASE"
"** File $FILE_NAME"
"** $FIELD_NAME Time t=$TIME"
);
// Write geometry in addition to field data
writeGeometry yes;
// Null value when sample value is not found
// Default is scalar::min
nullValue 0;
// Insert additional time sub-directory in the output path
// - yes : postProcessing/<fo-name>/<time>/<file>
// - no : postProcessing/<fo-name>/<file>
useTimeDir no;
// Available when 'useTimeDir' is 'no' to disambiguate file names
// Time base for output file names:
// - 'time' : <base>.inp_<field>.<time>
// - 'iteration' : <base>.inp_<field>.<iteration>
timeBase iteration;
// Optional start counters when using timeBase iteration
writeIndex
(
T 1
);
...
}
}
Example:
formatOptions
{
<writer>
{
// Apply offsets to field values
fieldLevel
{
T 273.15; // Convert from K to C by subtracting 273.15
}
// Note: scale applied after application of field level
fieldScale
{
p 0.001; // Convert pressure from Pa to kPa by scaling by 0.001
}
}
}
Added -writeChecks <format> option
- writes computed mesh metrics to file in using <format>
- currently supported formats are OpenFOAM dictionary and JSON
Collects and writes case information to file in OpenFOAM dictionary or JSON
format. Data includes:
- meta: case name, path, regions, parallel etc.
- dictionaries: entries retrieved from dictionaries - registered or from file
- per region: mesh metrics, boundary and boundary field types
- function object results
Example of function object specification:
caseInfo
{
type caseInfo;
libs (utilityFunctionObjects);
// Warn when entries are not found
lookupMode warn; // none | warn | error;
// Write format
writeFormat json; // dictionary | json;
dictionaries
{
USolver // User-specified names
{
// Look up using registered name
name "fvSolution";
// Optionally limit to specific entries
include
(
"solvers/U/solver"
);
}
fvSchemes
{
name "fvSchemes";
// include all entries by default
}
timeScheme
{
name "fvSchemes";
include
(
"/ddtSchemes/default"
);
}
turbulence
{
name "turbulenceProperties";
// include all entries by default
}
controlDict
{
// Look up using file path
path "<case>/system/controlDict";
include
(
"application"
"deltaT"
"startTime"
"endTime"
);
}
}
functionObjects (minMax1);
}
Quality metrics, e.g. non-orthogonality, skewness etc are calculated/reported
in polyMeshCheck functions. These results are now added to the meshState/mesh
dictionary to enable external access.
ENH: added 'mesh' dictionary to meshState to hold mesh properties
- solver information now stored in a 'solver' dictionary (was solverPerformance)
- {first|final}Iteration entry now stored in solver dict instead of top level
- mesh data (new) stored in 'mesh' dictionary
- code is compiled dynamically on the master node.
In the normal (non-distributed) case, simply poll the NFS
to see when it appears on the sub-procs.
For a case with distributed roots, first broadcast it (via MPI)
to the IO master nodes and then poll afterwards.
- on startup, detect and create missing processorXXX/ subdirectories
on distributed filesystems
- when reading, detect all clouds on all processors and uses this when
reading fields. Similarly, when writing it uses writeOnProc to skip
clouds that are empty on any particular processor.
Co-authored-by: Mark Olesen <>
- was previously limited to 'char' whereas gatherv/scatterv
already supported various integer and float types
STYLE: rebundle allToAll declarations with macros
ENH: provide a version of allToAllConsensus returning the Map
- simplifies use and avoids ambiguities in the send/recv parameters
- the Map version will now also transmit zero value data if they exist
in the Map. Unlike the List version, zero values are not necessary to
signal connectivity with a Map.
COMP: forwarding template parameters for NBX routines
ENH: consolidate PstreamBuffers size exchange options
- had a variety of nearly identical backends for all-to-all,
gather/scatter. Now combined internally with a dispatch enumeration
which provides better control over which size exchange algorithm
is used.
DEFEATURE: remove experimental full-NBX PstreamBuffers variant
- no advantages seen compared to the hybrid NBX/PEX approach.
Removal reduces some code cruft.
DEFEATURE: remove experimental "double non-blocking" NBX version
- the idea was to avoid blocking receives for very large data transfers,
but that is usually better accomplished with a hybrid NBX/PEX approach
like PstreamBuffers allows
- provide a globalIndex::calcOffsets() taking an indirect list, which
enables convenient offsets calculation from a variety of inputs.
- new CompactListList unpack variant: copy_unpack()
The copy_unpack() works somewhat like std::copy() in that it writes
the generated sublists to iterator positions, which makes this
type of code possible:
CompactListList<label> compact = ...;
DynamicList<face> extracted;
compact.copy_unpack<face>
(
std::back_inserter(extracted),
labelRange(4, 10)
);
-and-
const label nOldFaces = allFaces.size();
allFaces.resize(allFaces + nNewFaces);
auto iter = allFaces.begin(nOldFaces);
iter = compact.copy_unpack<face>(iter, /* selection 1 */);
...
iter = compact.copy_unpack<face>(iter, /* selection 2 */);
ENH: globalIndex resize()
- can be used to shrink or grow the offsets table.
Any extension of the offsets table corresponds to 'slots'
with 0 local size.
- report location with previous good offset and the new count that
would cause overflow. Simpler to report and the (very long) list
of input sizes is not particularly useful for diagnostics either.
ENH: add globalIndex comparison operators
- for outputting lists of globalIndex
- allows construction of string tokens holding character content.
For example, data that has been serialized and buffered and that
now needs to be written or sent to another process.
