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

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1# The MIT License (MIT) 

2# 

3# Copyright (c) 2018-2026 BeamMe Authors 

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6# of this software and associated documentation files (the "Software"), to deal 

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10# furnished to do so, subject to the following conditions: 

11# 

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

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14# 

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

16# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 

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21# THE SOFTWARE. 

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

23conditions in a mesh.""" 

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 

45 appropriate value 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 

62 # flip values if desired and adjust time 

63 if flip is True: 

64 values = _np.flipud(values) 

65 time = _np.flip(-time) + time[-1] 

66 

67 # transform time to interval 

68 min_t = _np.min(time) 

69 max_t = _np.max(time) 

70 

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

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

73 max_t - min_t 

74 ) 

75 

76 # ensure that start time is valid 

77 if valid_start_and_end_point and time[0] > 0.0: 

78 # add starting time 0 

79 time = _np.append(0.0, time) 

80 

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

82 if len(values.shape) == 1: 

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

84 else: 

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

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

87 ) 

88 

89 # repeat last value at provided time point 

90 if valid_start_and_end_point and len(time_span) > 2: 

91 if time_span[2] > time_span[1]: 

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

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

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

95 ) 

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

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

98 

99 return time, values 

100 

101 

102def read_dbc_monitor_file(file_path): 

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

104 well as the nodes of this boundary condition. 

105 

106 Args 

107 ---- 

108 file_path: str 

109 Path to the Dirichlet boundary condition monitor log. 

110 

111 Return 

112 ---- 

113 [node_ids], [time], [force], [moment] 

114 """ 

115 

116 with open(file_path, "r") as f: 

117 dbc_monitor_file = _yaml.safe_load(f) 

118 

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

120 

121 time = [] 

122 force = [] 

123 moment = [] 

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

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

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

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

128 

129 return ( 

130 nodes, 

131 _np.asarray(time, dtype=float), 

132 _np.asarray(force, dtype=float), 

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

134 ) 

135 

136 

137def add_point_neuman_condition_to_mesh( 

138 mesh: _Mesh, 

139 nodes: list[int], 

140 function_array: list[_Function], 

141 force: _np.ndarray, 

142 *, 

143 n_dof: int = 3, 

144): 

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

146 the function_array and force values by creating a new geometry set. 

147 

148 Args 

149 ---- 

150 mesh: Mesh 

151 Mesh where the boundary conditions are added to 

152 nodes: [node_id] 

153 list containing the ids of the nodes for the condition 

154 function_array: [function] 

155 list with functions 

156 force: [_np.ndarray] 

157 values to scale the function array with 

158 n_dof: int 

159 Number of DOFs per node. 

160 """ 

161 

162 # check if the dimensions of force and functions match 

163 if force.size != 3: 

164 raise ValueError( 

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

166 ) 

167 

168 function_array = _ensure_length_of_function_array(function_array, 3) 

169 

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

171 for function in function_array: 

172 mesh.add(function) 

173 

174 # Create GeometrySet with nodes. 

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

176 geo = _GeometrySet(mesh_nodes) 

177 

178 # Create the Boundary Condition. 

179 bc = _BoundaryCondition( 

180 geo, 

181 { 

182 "NUMDOF": n_dof, 

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

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

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

186 }, 

187 bc_type=_bme.bc.neumann, 

188 ) 

189 mesh.add(bc) 

190 

191 

192def dbc_monitor_to_mesh_all_values( 

193 mesh: _Mesh, 

194 file_path: str, 

195 *, 

196 steps: list[int] = [], 

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

198 type: str | None = "linear", 

199 flip_time_values: bool = False, 

200 functions: list[_Function] = [], 

201 **kwargs, 

202): 

203 """Extracts all the force values of the monitored Dirichlet boundary 

204 condition and converts them into a Function with a Neumann boundary 

205 condition for a given mesh. The monitor log force values must be obtained 

206 from a previous simulation with constant step size. The discretization of 

207 the previous simulation must be identical to the one within the mesh. The 

208 extracted force values are passed to a linear interpolation 4C-function. It 

209 is advisable to only call this function once all nodes have been added to 

210 the mesh. 

211 

212 Args 

213 ---- 

214 mesh: Mesh 

215 The mesh where the created Neumann boundary condition is added 

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

217 in the mesh. 

218 file_path: str 

219 Path to the Dirichlet boundary condition log file. 

220 steps: [int,int] 

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

222 time_span: [t1, t2, t3] in float 

223 Transforms the given time array into this specific format. 

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

225 type: str or linear 

226 two types are available: 

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

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

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

230 flip_time_values: bool 

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

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

233 functions: [Function, Function, Function] 

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

235 """ 

236 

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

238 

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

240 force *= -1.0 

241 

242 # if special index range is provided use it 

243 if steps: 

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

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

246 else: 

247 # otherwise define steps from start to end 

248 steps = [0, -1] 

249 

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

251 if type == "linear": 

252 if not len(time_span) == 2: 

253 raise ValueError( 

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

255 ) 

256 

257 time, force = linear_time_transformation( 

258 time, force, time_span, flip=flip_time_values 

259 ) 

260 if len(functions) != 3: 

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

262 

263 elif type == "hat": 

264 if not len(time_span) == 3: 

265 raise ValueError( 

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

267 ) 

268 

269 if functions: 

270 print( 

271 "You selected type", 

272 type, 

273 ", however the provided functions ", 

274 functions, 

275 " are overwritten.", 

276 ) 

277 functions = [] 

278 

279 # create the two intervals 

280 time1, force1 = linear_time_transformation( 

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

282 ) 

283 time2, force2 = linear_time_transformation( 

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

285 ) 

286 

287 # remove first element since it is duplicated zero 

288 _np.delete(time2, 0) 

289 _np.delete(force2, 0) 

290 

291 # add the respective force 

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

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

294 

295 else: 

296 raise ValueError( 

297 "The selected type: " 

298 + str(type) 

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

300 ) 

301 

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

303 if not type == "linear": 

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

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

306 fun = _create_linear_interpolation_function( 

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

308 ) 

309 

310 # add the function to the mesh 

311 mesh.add(fun) 

312 

313 # store function 

314 functions.append(fun) 

315 

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

317 force = _np.zeros_like(force) + 1.0 

318 

319 elif len(functions) != 3: 

320 raise ValueError("Please provide functions with ") 

321 

322 # Create condition in mesh 

323 add_point_neuman_condition_to_mesh( 

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

325 ) 

326 

327 

328def dbc_monitor_to_mesh( 

329 mesh: _Mesh, 

330 file_path: str, 

331 *, 

332 step: int = -1, 

333 function: _Function, 

334 **kwargs, 

335): 

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

337 a Neumann boundary condition in the mesh. 

338 

339 Args 

340 ---- 

341 mesh: Mesh 

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

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

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

345 all nodes have been added to the mesh. 

346 file_path: str 

347 Path to the Dirichlet boundary condition log file. 

348 step: int 

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

350 function: Function 

351 Function for the Neumann boundary condition. 

352 """ 

353 

354 # read the force 

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

356 

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

358 force *= -1.0 

359 

360 # Create condition in mesh 

361 add_point_neuman_condition_to_mesh( 

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

363 )