v1.0.0
版本发布时间: 2017-05-26 10:19:19
SteveDoyle2/pyNastran最新发布版本:1.3.4(2022-05-31 14:39:00)
This is a major release. The focus this time has been on robustness and testing. Hopefully, it shows. The software has also been relicensed to be BSD-3, which is a more permissive license and is the same one that numpy, scipy, and matplotlib use.
Unfortunately, the GUI is more complicated.
- For open source projects : GPL 2/3
- For companies that pay a license to Riverbank : proprietary
- For companies that don't pay a license fee : GPL 2/3
However, you may distribute an unmodified binary.
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Programmatics:
- Dropping Python 3.3 support
- Adding Python 3.6 support
- Supports Python 2.7, 3.4-3.6
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- preliminary random results (ATO/CRM/PSD/RMS/NO)
- improved geometry support
- MONPNT1/MONPNT3 reading
- MATPOOL matrices
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F06 scripts
- added a preliminary flutter (SOL 145) parser
- supports multiple subcases
- PK and PKNL methods supported
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plot_Vg_Vf(...)
,plot_Vg(...)
,plot_root_locus(...)
- input/output units
- mode switching not fixed yet
- added a preliminary flutter (SOL 145) parser
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GUI:
- complex displacement support
- animation support
- vector results (real/complex)
- SPC Forces, MPC Forces, Load Vector, Applied Load
- minimal control presently
- No Grid Point Forces (e.g., freebody loads, interface loads)
- SPC Forces, MPC Forces, Load Vector, Applied Load
- signficant speedups
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312 cards supported
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faster node transforms using:
>>> icd_transform, icp_transform, xyz_cp, nid_cp_cd = get_displacement_index_xyz_cp_cd(dtype='float64, sort_ids=True) >>> xyz_cid0 = transform_xyzcp_to_xyz_cid(xyz_cp, icp_transform, cid=0, in_place=False)
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simplified card adding
>>> model.add_grid(nid, xyz=[4.,5.,6.], comment='nid, cp, x, y, z')
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comments can now be created without worrying about
$
signs>>> model.add_card(['GRID', 10, None, 4.0, 5.0, 6.0], comment='GRID comment\ngrid,nid,cp,x,y,z')
$GRID comment $grid,nid,cp,x,y,z GRID,10,,4.0,5.0,6.0
- unit conversion
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- buttons for picking, rotation center, distance
- PyQt5 support
- QScintilla & pygments support for scripting code editor
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Matlab integration
- pyNastran works with Matlab 2014a+