Coverage for src/beamme/four_c/dbc_monitor.py: 90%

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1# The MIT License (MIT) 

2# 

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12# The above copyright notice and this permission notice shall be included in 

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15# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 

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21# THE SOFTWARE. 

22"""This function converts the DBC monitor log files to Neumann boundary conditions in a 

23mesh.""" 

24 

25import numpy as _np 

26import yaml as _yaml 

27 

28from beamme.core.boundary_condition import BoundaryCondition as _BoundaryCondition 

29from beamme.core.conf import bme as _bme 

30from beamme.core.function import Function as _Function 

31from beamme.core.geometry_set import GeometrySet as _GeometrySet 

32from beamme.core.mesh import Mesh as _Mesh 

33from beamme.four_c.function_utility import ( 

34 create_linear_interpolation_function as _create_linear_interpolation_function, 

35) 

36from beamme.four_c.function_utility import ( 

37 ensure_length_of_function_array as _ensure_length_of_function_array, 

38) 

39 

40 

41def linear_time_transformation( 

42 time, values, time_span, *, flip=False, valid_start_and_end_point=False 

43): 

44 """Performs a transformation of the time to a new interval with an appropriate value 

45 vector. 

46 

47 Args 

48 ---- 

49 time: _np.array 

50 array with time values 

51 values: _np.array 

52 corresponding values to time 

53 time_span: [list] with 2 or 3 entries: 

54 time_span[0:2] defines the time interval to which the initial time interval should be scaled. 

55 time_span[3] optional timepoint to repeat last value 

56 flip: Bool 

57 Flag if the values should be reversed 

58 valid_start_and_end_point: Bool 

59 optionally adds a valid starting point at t=0 and timespan[3] if provided 

60 """ 

61 # flip values if desired and adjust time 

62 if flip is True: 

63 values = _np.flipud(values) 

64 time = _np.flip(-time) + time[-1] 

65 

66 # transform time to interval 

67 min_t = _np.min(time) 

68 max_t = _np.max(time) 

69 

70 # scaling/transforming the time into the user defined time 

71 time = time_span[0] + (time - min_t) * (time_span[1] - time_span[0]) / ( 

72 max_t - min_t 

73 ) 

74 

75 # ensure that start time is valid 

76 if valid_start_and_end_point and time[0] > 0.0: 

77 # add starting time 0 

78 time = _np.append(0.0, time) 

79 

80 # add first coordinate again at the beginning of the array 

81 if len(values.shape) == 1: 

82 values = _np.append(values[0], values) 

83 else: 

84 values = _np.append(values[0], values).reshape( 

85 values.shape[0] + 1, values.shape[1] 

86 ) 

87 

88 # repeat last value at provided time point 

89 if valid_start_and_end_point and len(time_span) > 2: 

90 if time_span[2] > time_span[1]: 

91 time = _np.append(time, time_span[2]) 

92 values = _np.append(values, values[-1]).reshape( 

93 values.shape[0] + 1, values.shape[1] 

94 ) 

95 if not valid_start_and_end_point and len(time_span) > 2: 

96 raise Warning("You specified unnecessarily a third component of time_span.") 

97 

98 return time, values 

99 

100 

101def read_dbc_monitor_file(file_path): 

102 """Load the Dirichlet boundary condition monitor log and return the data as well as 

103 the nodes of this boundary condition. 

104 

105 Args 

106 ---- 

107 file_path: str 

108 Path to the Dirichlet boundary condition monitor log. 

109 

110 Return 

111 ---- 

112 [node_ids], [time], [force], [moment] 

113 """ 

114 with open(file_path, "r") as f: 

115 dbc_monitor_file = _yaml.safe_load(f) 

116 

117 nodes = dbc_monitor_file["dbc monitor condition"]["node gids"] 

118 

119 time = [] 

120 force = [] 

121 moment = [] 

122 for time_step_data in dbc_monitor_file["dbc monitor condition data"]: 

123 time.append(time_step_data["time"]) 

124 force.append(time_step_data["f"]) 

125 moment.append(time_step_data["m"]) 

126 

127 return ( 

128 nodes, 

129 _np.asarray(time, dtype=float), 

130 _np.asarray(force, dtype=float), 

131 _np.asarray(moment, dtype=float), 

132 ) 

133 

134 

135def add_point_neuman_condition_to_mesh( 

136 mesh: _Mesh, 

137 nodes: list[int], 

138 function_array: list[_Function], 

139 force: _np.ndarray, 

140 *, 

141 n_dof: int = 3, 

142): 

143 """Adds a Neumann boundary condition to a mesh for the given node_ids with the 

144 function_array and force values by creating a new geometry set. 

145 

146 Args 

147 ---- 

148 mesh: Mesh 

149 Mesh where the boundary conditions are added to 

150 nodes: [node_id] 

151 list containing the ids of the nodes for the condition 

152 function_array: [function] 

153 list with functions 

154 force: [_np.ndarray] 

155 values to scale the function array with 

156 n_dof: int 

157 Number of DOFs per node. 

158 """ 

159 # check if the dimensions of force and functions match 

160 if force.size != 3: 

161 raise ValueError( 

162 f"The forces vector must have dimensions [3x1] not [{force.size}x1]" 

163 ) 

164 

165 function_array = _ensure_length_of_function_array(function_array, 3) 

166 

167 # Add the function to the mesh, if they are not previously added. 

168 for function in function_array: 

169 mesh.add(function) 

170 

171 # Create GeometrySet with nodes. 

172 mesh_nodes = [mesh.nodes[i_node] for i_node in nodes] 

173 geo = _GeometrySet(mesh_nodes) 

174 

175 # Create the Boundary Condition. 

176 bc = _BoundaryCondition( 

177 geo, 

178 { 

179 "NUMDOF": n_dof, 

180 "ONOFF": [1, 1, 1] + [0] * (n_dof - 3), 

181 "VAL": force.tolist() + [0] * (n_dof - 3), 

182 "FUNCT": function_array + [0] * (n_dof - 3), 

183 }, 

184 bc_type=_bme.bc.neumann, 

185 ) 

186 mesh.add(bc) 

187 

188 

189def dbc_monitor_to_mesh_all_values( 

190 mesh: _Mesh, 

191 file_path: str, 

192 *, 

193 steps: list[int] = [], 

194 time_span: list[int] = [0, 1, 2], 

195 type: str | None = "linear", 

196 flip_time_values: bool = False, 

197 functions: list[_Function] = [], 

198 **kwargs, 

199): 

200 """Extracts all the force values of the monitored Dirichlet boundary condition and 

201 converts them into a Function with a Neumann boundary condition for a given mesh. 

202 The monitor log force values must be obtained from a previous simulation with 

203 constant step size. The discretization of the previous simulation must be identical 

204 to the one within the mesh. The extracted force values are passed to a linear 

205 interpolation 4C-function. It is advisable to only call this function once all nodes 

206 have been added to the mesh. 

207 

208 Args 

209 ---- 

210 mesh: Mesh 

211 The mesh where the created Neumann boundary condition is added 

212 to. The nodes(e.g., discretization) referred to in the log file must match with the ones 

213 in the mesh. 

214 file_path: str 

215 Path to the Dirichlet boundary condition log file. 

216 steps: [int,int] 

217 Index range of which the force values are extracted. Default 0 and -1 extracts every point from the array. 

218 time_span: [t1, t2, t3] in float 

219 Transforms the given time array into this specific format. 

220 The time array always starts at 0 and ends at t3 to ensure a valid simulation. 

221 type: str or linear 

222 two types are available: 

223 1) "linear": not specified simply extract all values and apply them between time interval t1 and t2. 

224 2) "hat": puts the values first until last value is reached and then decays them back to first value. 

225 Interpolation starting from t1 going to the last value at (t1+t2)/2 and going back to the value at time t2. 

226 flip_time_values: bool 

227 indicates, if the extracted forces should be flipped or rearranged wrt. to the time 

228 For flip_time_values=true, the forces at the final time are applied at t_start. 

229 functions: [Function, Function, Function] 

230 Array consisting of 3 custom functions(x,y,z). The value for boundary condition is selected from the last steps. 

231 """ 

232 nodes, time, force, _ = read_dbc_monitor_file(file_path) 

233 

234 # The forces are the negative reactions at the Dirichlet boundaries. 

235 force *= -1.0 

236 

237 # if special index range is provided use it 

238 if steps: 

239 time = time[steps[0] : steps[1] + 1] 

240 force = force[steps[0] : steps[1] + 1, :] 

241 else: 

242 # otherwise define steps from start to end 

243 steps = [0, -1] 

244 

245 # apply transformations to time and forces according to the schema 

246 if type == "linear": 

247 if not len(time_span) == 2: 

248 raise ValueError( 

249 f"Please provide a time_span with size 1x2 not {len(time_span)}" 

250 ) 

251 

252 time, force = linear_time_transformation( 

253 time, force, time_span, flip=flip_time_values 

254 ) 

255 if len(functions) != 3: 

256 print("Please provide a list with three valid Functions.") 

257 

258 elif type == "hat": 

259 if not len(time_span) == 3: 

260 raise ValueError( 

261 f"Please provide a time_span with size 1x3 not {len(time_span)}" 

262 ) 

263 

264 if functions: 

265 print( 

266 "You selected type", 

267 type, 

268 ", however the provided functions ", 

269 functions, 

270 " are overwritten.", 

271 ) 

272 functions = [] 

273 

274 # create the two intervals 

275 time1, force1 = linear_time_transformation( 

276 time, force, time_span[0:2], flip=flip_time_values 

277 ) 

278 time2, force2 = linear_time_transformation( 

279 time, force, time_span[1:3], flip=(not flip_time_values) 

280 ) 

281 

282 # remove first element since it is duplicated zero 

283 _np.delete(time2, 0) 

284 _np.delete(force2, 0) 

285 

286 # add the respective force 

287 time = _np.concatenate((time1, time2[1:])) 

288 force = _np.concatenate((force1, force2[1:]), axis=0) 

289 

290 else: 

291 raise ValueError( 

292 "The selected type: " 

293 + str(type) 

294 + " is currently not supported. Feel free to add it here." 

295 ) 

296 

297 # overwrite the function, if one is provided since for the specific types the function is generated 

298 if not type == "linear": 

299 for dim in range(force.shape[1]): 

300 # create a linear function with the force values per dimension 

301 fun = _create_linear_interpolation_function( 

302 time, force[:, dim], function_type="SYMBOLIC_FUNCTION_OF_TIME" 

303 ) 

304 

305 # add the function to the mesh 

306 mesh.add(fun) 

307 

308 # store function 

309 functions.append(fun) 

310 

311 # now set forces to 1 since the force values are already extracted in the function's values 

312 force = _np.zeros_like(force) + 1.0 

313 

314 elif len(functions) != 3: 

315 raise ValueError("Please provide functions with ") 

316 

317 # Create condition in mesh 

318 add_point_neuman_condition_to_mesh( 

319 mesh, nodes, functions, force[steps[1]], **kwargs 

320 ) 

321 

322 

323def dbc_monitor_to_mesh( 

324 mesh: _Mesh, 

325 file_path: str, 

326 *, 

327 step: int = -1, 

328 function: _Function, 

329 **kwargs, 

330): 

331 """Converts the last value of a Dirichlet boundary condition monitor log to a 

332 Neumann boundary condition in the mesh. 

333 

334 Args 

335 ---- 

336 mesh: Mesh 

337 The mesh where the created Neumann boundary condition is added to. 

338 The nodes referred to in the log file have to match with the ones 

339 in the mesh. It is advisable to only call this function once 

340 all nodes have been added to the mesh. 

341 file_path: str 

342 Path to the Dirichlet boundary condition log file. 

343 step: int 

344 Step values to be used. Default is -1, i.e. the last step. 

345 function: Function 

346 Function for the Neumann boundary condition. 

347 """ 

348 # read the force 

349 nodes, _, force, _ = read_dbc_monitor_file(file_path) 

350 

351 # The forces are the negative reactions at the Dirichlet boundaries. 

352 force *= -1.0 

353 

354 # Create condition in mesh 

355 add_point_neuman_condition_to_mesh( 

356 mesh, nodes, [function] * 3, force[step], **kwargs 

357 )