From deb872270e8aced4fdc59f92f908c842fda74f5f Mon Sep 17 00:00:00 2001 From: akaszynski Date: Fri, 18 Aug 2017 12:04:21 +0200 Subject: [PATCH] Added paraview converter --- .gitignore | 1 + doc/conf.py | 4 +- doc/loading_results.rst | 26 +++++ doc/paraview.jpg | Bin 0 -> 247735 bytes pyansys/_version.py | 2 +- pyansys/archive_reader.py | 6 +- pyansys/binary_reader.py | 186 ++++++++++++++++++++++++---------- pyansys/cython/_rstHelper.pyx | 49 ++++++++- 8 files changed, 209 insertions(+), 65 deletions(-) create mode 100644 doc/paraview.jpg diff --git a/.gitignore b/.gitignore index 4a67bad316..abaf0a7bbd 100644 --- a/.gitignore +++ b/.gitignore @@ -24,3 +24,4 @@ pyansys/Interface.py # Testing Testing/ + diff --git a/doc/conf.py b/doc/conf.py index bb1fe57e50..aa6e0ce336 100644 --- a/doc/conf.py +++ b/doc/conf.py @@ -51,10 +51,10 @@ # built documents. # # The short X.Y version. -version = u'0.17' +version = u'0.18' # The full version, including alpha/beta/rc tags. -release = u'0.17.1' +release = u'0.18.0' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. diff --git a/doc/loading_results.rst b/doc/loading_results.rst index 2cd28db2ee..cdf8060ad4 100644 --- a/doc/loading_results.rst +++ b/doc/loading_results.rst @@ -216,5 +216,31 @@ The phase of the result can be changed by modifying the ``phase`` option. See ``help(result.PlotCyclicNodalResult)``` for details on its implementation. +Exporting to Paraview +~~~~~~~~~~~~~~~~~~~~~ +Paraview is a visualization application that can be used for rapid generation +of plots and graphs using VTK through a GUI. ``pyansys`` can translate the +ANSYS result files to Paraview compatible files containing the geometry and +nodal results from the analysis: +.. code:: python + + import pyansys + from pyansys import examples + + # load example beam result file + result = pyansys.ResultReader(examples.rstfile) + + # save as a binary vtk xml file + result.SaveAsVTK('beam.vtu') + +The vtk xml file can now be loaded using paraview. This screenshot shows the +nodal displacement of the first result from the result file plotted within +`Paraview `_. Within the vtk file are two point +arrays (``NodalResult`` and ``NodalStress``) for each result in the result +file. The nodal result values will depend on the analysis type, while +nodal stress will always be the node average stress in the Sx, Sy Sz, Sxy, Syz, +and Sxz directions. + +.. image:: paraview.jpg \ No newline at end of file diff --git a/doc/paraview.jpg b/doc/paraview.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f5eb2ed6ce68a747c4700f88dcff67e957d9689e GIT binary patch literal 247735 zcmeFZ1ytK>vo{)w7A-AMoECyxako;uc+n7`xDB;W`VGNlJ#Q3Vt?t33!ByfQXCm z&4}?dENN_IE9;0KxKTz`o@CX4B@e!PVxB&1^d%@oaAmJiEeaR+< z@=WF60axwv_F`S``(NJvUa z%gCy}Q&ZQ_)Y3LIGBzSNA`0HPS{exV%aJe4Aw*?9H54jK?xxk-@xJbw^*-)N}DWkr(dq&Cbi-z|)IvwhieId_`n@c{5@;qM$hs*qOcf>wB*(ZwpcNv7p{Djes1QeWiepj3 zAL36%UKs;xVQK*hK{W%PijQi&a?LVjD7`AGL!X$4*S>CuRQ8?Y#owDCv>2`tHkTZ! zNaf>`;A6z9t#d2UPiJcWAVb4rO7fZ1yLv8kn>mqS^@LYj{Nqzuyoxg-!Etw+TfhC5 zy-C(P1k1h;UuG?5KaPCexlYmG&ly*U1r_m8m^lHs**|#W^rj_CyUy{r!K~+K z%t|RJN%}tN1zds-KR;DUai6`9>YqW<_&8@l!-@x9+Tq6!$dFbNDjtL)*>_-_J|k-F 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zH+vY7E(W-Kw9t43qBL+W(+Psd=LE2XArta6W z`L$(!iHl#N^4DYH*CX= v14.5 + ele_data_arr = np.zeros((nnod, 6), np.float32) + _rstHelper.LoadStress(self.filename, table_index, ele_ind_table, + nodstr, etype, nitem, ele_data_arr, + self.edge_idx) + elif nitem == 22: # double precision < v14.5 + nitem = 11 + ele_data_arr = np.zeros((nnod, 6), np.float64) + _rstHelper.LoadStressDouble(self.filename, table_index, + ele_ind_table, nodstr, etype, nitem, + ele_data_arr, self.edge_idx) + + elif nitem == 11: # single precision < v14.5 + ele_data_arr = np.zeros((nnod, 6), np.float32) + _rstHelper.LoadStress(self.filename, table_index, ele_ind_table, + nodstr, etype, nitem, ele_data_arr, + self.edge_idx) + else: + raise Exception('Invalid nitem. Unable to load nodal stresses') - # grabe element results from binary + # Average based on the edges of elements enode = self.edge_node_num_idx ntimes = np.bincount(self.edge_idx)[enode] - - nnod = self.resultheader['nnod'] - ele_data_arr = np.zeros((nnod, 6), np.float32) - _rstHelper.LoadStress(self.filename, table_index, - ele_ind_table, nodstr, etype, - nitem, ele_data_arr, self.edge_idx) - s_node = ele_data_arr[enode] s_node /= ntimes.reshape((-1, 1)) return s_node - + def PlotNodalStress(self, rnum, stype): """ @@ -1010,6 +1005,7 @@ def PlotNodalStress(self, rnum, stype): across elements, stresses will vary based on the element they are evaluated from. + Parameters ---------- rnum : interger @@ -1017,19 +1013,17 @@ def PlotNodalStress(self, rnum, stype): stype : string Stress type from the following list: [Sx Sy Sz Sxy Syz Sxz] + Returns ------- None - Notes - ----- - None - """ stress_types = ['Sx', 'Sy', 'Sz', 'Sxy', 'Syz', 'Sxz', 'Seqv'] if stype not in stress_types: - raise Exception("Stress type not in \n ['Sx', 'Sy', 'Sz', 'Sxy', 'Syz', 'Sxz']") + raise Exception('Stress type not in \n' +\ + "['Sx', 'Sy', 'Sz', 'Sxy', 'Syz', 'Sxz']") sidx = ['Sx', 'Sy', 'Sz', 'Sxy', 'Syz', 'Sxz'].index(stype) @@ -1052,6 +1046,53 @@ def PlotNodalStress(self, rnum, stype): del plobj return cpos + + + def SaveAsVTK(self, filename, binary=True): + """ + Writes all appends all results to an unstructured grid and writes it to + disk. + + The file extension will select the type of writer to use. *.vtk will + use the legacy writer, while *.vtu will select the VTK XML writer. + + + Parameters + ---------- + filename : str + Filename of grid to be written. The file extension will select the + type of writer to use. *.vtk will use the legacy writer, while + *.vtu will select the VTK XML writer. + binary : bool, optional + Writes as a binary file by default. Set to False to write ASCII + + + Notes + ----- + Binary files write much faster than ASCII, but binary files written on + one system may not be readable on other systems. Binary can only be + selected for the legacy writer. + + + """ + + # Copy grid as to not write results to original object + grid = self.uGrid.Copy() + + for i in range(self.nsets): + # Nodal Results + val = self.GetNodalResult(i) + grid.AddPointScalars(val, 'NodalResult{:03d}'.format(i)) + + # Nodal Stress values are only valid + stress = self.NodalStress(i) + val = np.zeros((grid.GetNumberOfPoints(), stress.shape[1])) + val[self.edge_node_num_idx] = stress + grid.AddPointScalars(val, 'NodalStress{:03d}'.format(i)) + + # Write to file and clean up + grid.WriteGrid(filename) + del grid def GetResultInfo(filename): @@ -1205,4 +1246,39 @@ def delete_row_csc(mat, i): mat.indptr[i:-1] = mat.indptr[i+1:] mat.indptr[i:] -= n mat.indptr = mat.indptr[:-1] - mat._shape = (mat._shape[0]-1, mat._shape[1]) \ No newline at end of file + mat._shape = (mat._shape[0]-1, mat._shape[1]) + + +# ============================================================================= +# load stress debug using numpy +# ============================================================================= +# #%% numpy debug +# f = open(self.filename) +# nstresses = self.edge_idx.size +# stresses = np.empty((nstresses, 6), np.float32) +# c = 0 +# for i in range(len(ele_ind_table)): +# # Element nodal stresses, ptrENS, is the third item in the table +# f.seek((ele_ind_table[i] + table_index)*4) +# ptrENS = np.fromfile(f, endian + 'i', 1)[0] +# +# # read the stresses evaluated at the intergration points or nodes +# nnode_elem = nodstr[etype[i]] +# +# f.seek((ele_ind_table[i] + ptrENS)*4) +# stress = np.fromfile(f, endian + 'f', nnode_elem*nitem).reshape((-1, nitem))#[:, sidx] +# +# # store stresses +# stresses[c:c + nnode_elem] = stress[:, :6] +# c += nnode_elem +# +# # close file +# f.close() +# +# # Average the stresses for each element at each node +# enode = self.edge_node_num_idx +# s_node = np.empty((enode.size, 6), np.float32) +# for i in range(6): +# s_node[:, i] = np.bincount(self.edge_idx, weights=stresses[:, i])[enode] +# ntimes = np.bincount(self.edge_idx)[enode] +# s_node /= ntimes.reshape((-1, 1)) diff --git a/pyansys/cython/_rstHelper.pyx b/pyansys/cython/_rstHelper.pyx index 11ee78f295..35c821d018 100755 --- a/pyansys/cython/_rstHelper.pyx +++ b/pyansys/cython/_rstHelper.pyx @@ -117,8 +117,8 @@ def AssembleEdges(int nelm, int [::1] etype, int [:, ::1] elem, c += 1 -def LoadStress(filename, int table_index, int [::1] ele_ind_table, int [::1] nodstr, - int [::1] etype, int nitem, +def LoadStress(filename, int table_index, int [::1] ele_ind_table, + int [::1] nodstr,int [::1] etype, int nitem, float [:, ::1] ele_data_arr, int [::1] edge_idx): cdef int i, j, k, ind @@ -126,7 +126,7 @@ def LoadStress(filename, int table_index, int [::1] ele_ind_table, int [::1] nod cdef FILE* cfile cdef bytes py_bytes = filename.encode() cdef char* c_filename = py_bytes - cfile = fopen(c_filename, 'r') + cfile = fopen(c_filename, 'rb') cdef int ele_table, ptr, nnode_elem cdef float [1000] ele_data @@ -156,10 +156,51 @@ def LoadStress(filename, int table_index, int [::1] ele_ind_table, int [::1] nod c += 1 - fclose(cfile) +def LoadStressDouble(filename, int table_index, int [::1] ele_ind_table, + int [::1] nodstr,int [::1] etype, int nitem, + double [:, ::1] ele_data_arr, int [::1] edge_idx): + + cdef int i, j, k, ind + + cdef FILE* cfile + cdef bytes py_bytes = filename.encode() + cdef char* c_filename = py_bytes + cfile = fopen(c_filename, 'rb') + + cdef int ele_table, ptr, nnode_elem + cdef double [1000] ele_data + cdef int c = 0 + for i in range(len(ele_ind_table)): + + # get location of pointers to element data + ele_table = ele_ind_table[i] + fseek(cfile, (ele_table + table_index)*4, SEEK_SET) + fread(&ptr, sizeof(int), 1, cfile) + + # Get the nodes in the element + nnode_elem = nodstr[etype[i]] + + # read the stresses evaluated at the intergration points or nodes + fseek(cfile, (ele_table + ptr)*4, SEEK_SET) + fread(&ele_data, sizeof(double), nnode_elem*nitem, cfile) + + # store these values + for j in range(nnode_elem): + # corresponding edge indices for these component stressess + ind = edge_idx[c] + + # [Sx Sy Sz Sxy Syz Sxz] + for k in range(6): + ele_data_arr[ind, k] += ele_data[k + nitem*j] + + c += 1 + + + fclose(cfile) + def ReadArray(filename, int ptr, int nterm, int neqn, int [::1] index_arr): """