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Result Class #185

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@iceblink-ansys

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@iceblink-ansys

🔍 Before submitting the issue

  • I have searched among the existing issues
  • I am using a Python virtual environment

🐞 Description of the bug

For some reason the results from PyMAPDL-reader are not the same as from mapdl in batch mode, though the stress order of magnitude is somewhat similar.


PyMAPDL-Reader Software and Environment Report

Date: Tue Dec 20 16:54:15 2022 CET

            OS : Linux
        CPU(s) : 24
       Machine : x86_64
  Architecture : 64bit
           RAM : 1511.6 GiB
   Environment : Python
   File system : xfs
   GPU Details : error

Python 3.7.13 (default, Apr 28 2022, 08:00:21) [GCC 8.2.0]

       pyvista : 0.37.0
           vtk : 9.2.2
         numpy : 1.21.6
       appdirs : 1.4.4

ansys.mapdl.reader : 0.52.4
tqdm : 4.64.1
matplotlib : 3.5.3
ansys.mapdl.core : 0.63.4
scipy : 1.7.3

example output:

PyMAPDL:

  1086208 -0.53896      -4.5807     -0.43128E-001-0.95561      0.18610      0.17292E-001
  1119277   7.6786      -54.789       9.1757      -13.006       8.5357      -6.9634     
  1119278   4.7530      -73.017       8.5624      -4.3764     -0.73627E-002 -2.2960     
  1119279   3.6917      -67.506       8.3602       2.9245      0.59262      -1.8712     
  1119280   6.1982      -75.804       3.4671       4.7029      -9.1468      0.43384     
  1119281   9.2134      -68.473       4.5270      -7.7405      -19.154      -2.3560     
  1119282  -2.2331      -82.818     -0.80377     -0.80763      -4.6933     -0.82316     
  1119283  -11.522      -223.40      -41.927       89.056      -114.62      -16.256     
  1119284  -4.2330      -68.573     -0.96242       1.3523      -7.9288      -1.9489     
  1119285   7.4691      -71.456       10.541      -11.240      -11.949      -4.9047     

mapdl:

  1086208    -0.538961     -4.58073   -0.0431284    -0.955614     0.186102    0.0172916
  1119277     0.936085     -74.7439      2.06109     -5.03342     -3.35435     -5.49832
  1119278     0.585308     -84.0512       3.4786     -4.43145     -9.51501     -2.02587
  1119279       2.5793     -79.4133      2.91215     -1.75299     -6.42161     -1.47082
  1119280       2.9808     -89.1512     0.283342     -4.16926     -8.42763    -0.116176
  1119281      7.15402     -74.3251      4.08113     -9.16976     -13.1968     -1.89268
  1119282     -2.37682     -88.1327     0.234747      0.23904     -3.91442     0.441464
  1119283     -4.29061     -172.119     -31.7608      84.6058      -99.442     -11.1323
  1119284       -3.617     -67.7072    -0.313461     0.521451     -7.62063     -1.82923
  1119285      1.89622     -83.4006      6.06942     0.206192      -11.354     -1.41076

📝 Steps to reproduce

I am extracting stress using PyMAPDL Reader (v2022, python 3.7, virtual environment). Reading a result file (generated by v18) into a Result Class, and then using "nodal_stress" method on the result class.

Then I compare the output with older output that was generated using an APDL script, using mapdl v18 in batch mode. Using the same result file. Using "PRNSOL,S,COMP".

Using only corner nodes on outside surfaces of solid-element components

💻 Which operating system are you using?

Linux

🐍 Which Python version are you using?

3.7

📦 Installed packages

aiohttp==3.8.3
aiosignal==1.3.1
ansys-api-mapdl==0.5.1
ansys-api-platform-instancemanagement==1.0.0b3
ansys-corba==0.1.1
ansys-dpf-core==0.7.1
ansys-dpf-gate==0.3.0
ansys-dpf-gatebin==0.3.0
ansys-dpf-post==0.2.5
ansys-grpc-dpf==0.7.0
ansys-mapdl-core==0.63.4
ansys-mapdl-reader==0.52.4
ansys-platform-instancemanagement==1.0.2
appdirs==1.4.4
async-timeout==4.0.2
asynctest==0.13.0
attrs==22.1.0
cachetools==5.2.0
certifi==2022.12.7
charset-normalizer==2.1.1
cycler==0.11.0
fonttools==4.38.0
frozenlist==1.3.3
geomdl==5.3.1
google-api-core==2.11.0
google-api-python-client==2.70.0
google-auth==2.15.0
google-auth-httplib2==0.1.0
googleapis-common-protos==1.57.0
grpcio==1.51.1
httplib2==0.21.0
idna==3.4
imageio==2.22.4
importlib-metadata==5.1.0
kiwisolver==1.4.4
matplotlib==3.5.3
multidict==6.0.3
numpy==1.21.6
packaging==22.0
pexpect==4.8.0
Pillow==9.3.0
pooch==1.6.0
protobuf==3.20.3
protoc-gen-swagger==0.1.0
psutil==5.9.4
ptyprocess==0.7.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyiges==0.2.1
pyparsing==3.0.9
python-dateutil==2.8.2
pyvista==0.37.0
requests==2.28.1
rsa==4.9
scipy==1.7.3
scooby==0.7.0
six==1.16.0
tqdm==4.64.1
typing_extensions==4.4.0
uritemplate==4.1.1
urllib3==1.26.13
vtk==9.2.2
wslink==1.9.2
yarl==1.8.2
zipp==3.11.0

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