-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathoptimize_channels.m
493 lines (462 loc) · 22.2 KB
/
optimize_channels.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Created by Marcus Tan on 1/17/2015
%%% Last modified date: 10/19/2015
%%% Copyright 2015 University of Illinois at Urbana-Champaign. All rights reserved
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% INPUTS:
% channelFiles:
% polygonFile:
% boundsFile_sampleFile:
% boundsFile (*.channels)/sampleFile
% ('*.lhs','*.rand','*.rand1','*.rand2','*.smmp')
% jobNum_sampleNum:
% job num (if > 0 && nSimulations > 0)/sample number (if < 0 && nSimulations == 1)
% directory:
% filePrefix:
% inputFile:
% costFuncType:
% i) P_NORM: costFuncNormp must be provided
% ii) VARIANCE
% iii) PRESSURE
% iv) AREA
% v) TPA: weighted combination of p-norm of temperature, pressure and
% area
% vi) NODAL_T_IN, NODAL_T_OUT or NODAL_T_INOUT
% costFuncNormp:
% costFuncWeights:
% costFuncScale:
% nlconType:
% i) Pmax
% ii) Pmin
% iii) Tmax
% iv) Amax
% v) Amin
% vi) Vmax
% vii) Vmin
% viii) nodalT
% nlconMinP:
% nlconMaxP:
% nlconMaxTmax:
% nlconMinAorVFrac:
% nlconMaxAorVFrac:
% nlconNodalTbounds: [lower Tin, upper Tin, lower Tout, upper Tout]
% nSimulations:
% randomizeFIrst: randomize the configuration of the first channel
% mergeTriangles: merge the triangles of the channel network
function optimize_channels(channelFile,...
polygonFile,...
boundsFile_sampleFile,...
jobNum_sampleNum,...
directory,...
filePrefix,...
inputFile,...
costFuncType,...
costFuncNormp,...
costFuncWeights,...
costFuncScales,...
nlconType, ...
nlconMinP, ...
nlconMaxP, ...
nlconMaxTmax, ...
nlconMinAorVFrac, ...
nlconMaxAorVFrac, ...
nlconNodalTbounds, ...
nlconMassin, ...
nlconInBCs, ...
nSimulations, ...
randomizeFirst, ...
mergeTriangles)
close all;
format long e;
clc
% global variables used all over the code for outputs only
% VERY IMPORTANT TO REINITIALIZE THESE GLOBAL VARIABLES AFTER EVERY
% SIMULATION !!!!!!!!!!!!!!
global G_history
global G_filePrefix
global G_simDirectory
global G_funcEvalCounter
global G_constraint
global G_out % for output every iteration, avoid using it for calculation
global G_Tmax2TnRatio % for max temperature constraint
%profile on;
% matlabpool close
% matlabpool(6)
path(path, '../nurbs_toolbox')
path(path, '../IGFEM-Curves-2D/M_geom_toolbox')
path(path, '../IGFEM-Curves-2D/M_preFEM')
path(path, '../IGFEM-Curves-2D/M_channels')
path(path, '../IGFEM-Curves-2D/M_FEM')
path(path, '../IGFEM-Curves-2D/mx_FEM')
path(path, '../IGFEM-Curves-2D/M_postprocessing')
path(path, './M_optimization')
path(path, './M_opt_postprocessing')
path(path, './mx_sensitivity')
path(path, '../SISL/mx_SISL')
path(path, '../IGFEM-Curves-2D/ChannelFiles')
path(path, '../IGFEM-Curves-2D/SampleFiles')
path(path, '../IGFEM-Curves-2D/GeomConstrFiles')
path(path, './InputFiles')
%% MESH AND USER INPUT
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Information for generating mesh
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
[mesh,femParams.gauss,...
femParams.tol,...
femParams.refine,...
femParams.otherFlags,~, ...
femParams.moveNode] = read_inputs(inputFile);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Other user inputs
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
mesh.heatSourceFunc = [];
minPolyAngle = 10; % in degrees
minPolyArea = 0.001 * mesh.domainArea;
minSidePolyAngle = 1; % in degrees
minSidePolyArea = 0.001* mesh.domainArea;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% SENSITIVITY ANALYSIS INPUT
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
senstvtyTriNpt1D = 5; % number of gauss points for line quadrature in sensitivity analysis
senstvtyTriNpt2D = 16; % number of gauss points for triangular quadrature in sensitivity analysis
senstvtyQuadNpt1D = 4; % number of gauss points in one direction for quad child element in polynomial IGFEM sensitivity analysis
%sensitivity.optimization_type = 'SHAPE';
% 'GradObj', 'on': adjoint method; 'GradObj','off':finite difference
%'DerivativeCheck', 'on', ... %Compare user-supplied derivatives (gradients of objective or constraints) to finite-differencing derivatives.
% 'GradCon'... % turn off the gradient mode for the cosntriant funcitons
% different algorithms fmincon uses for solving the optimization problem
%'trust-region-reflective'
%'interior-point'
%'sqp'
%'active-set'
% define the "option" parameter to later pass to the fmincon function
sensitivity.options ...
= optimoptions(@fmincon, ...
'FunValCheck', 'off',... % check for complex, inf or nan obj fun val and terminate if true
'GradObj', 'on',... % supply gradient for the objective funcitons
'GradConstr', 'on', ... % supply gradient for the constraint funcitons
'DerivativeCheck', 'off', ... %Compare user-supplied derivatives (gradients of objective or constraints) to finite-differencing derivatives.
'FinDiffType','central', ...
'outputfcn', @outfun,... % output the history of the converged solution
'Algorithm', 'sqp',... % Choose the algorithm to solve the optimization
'TolCon', 1e-6,... % tolerance for constraint
'TolX',1e-6,... % tolerance for parameter value (multiplied by velocity)
'TolFun', 1e-6, ... % tolerence on the funciton we optimize
'InitBarrierParam',0.01, ...% valid only for interior point algorithm
'Display', 'iter-detailed');
% 'ScaleProblem','obj-and-constr', ... % normalize all constraints and the objective function
% 'DiffMaxChange', 1e-6, ... % maximum change in variables for FD gradients
scaleObj = true;
scaleConstraint = true;
%% NO USER INPUT BELOW THIS LINE
%% Initialize required FEM data that does not change from one simulation to the next
sensitivity.gauss.line = gauss_points_and_weights(true,senstvtyTriNpt1D,1,'combined');
sensitivity.gauss.elem = gauss_points_and_weights(true,senstvtyTriNpt2D,2,'combined');
if femParams.otherFlags.polyIGFEM
sensitivity.gauss.quadElem = gauss_points_and_weights(false,senstvtyQuadNpt1D,2,'combined');
end
% label edges for refinement later. Important!!!!!!!!!!
if femParams.refine.maxRefineLevel
mesh.elem.elem_node = label(mesh.node.coords,mesh.elem.elem_node);
end
femParams.tol.halfLineWidth = mesh.edge.minLength*femParams.tol.halfLineWidthFrac;
femParams.moveNode.dist = mesh.edge.minLength*femParams.moveNode.distFrac;
% check optimization inputs
sensitivity.costFunction.objOpt.node = []; % outlet node not requested
% intDomainType indicates whether the primary objective function is
% integrated over the whole domain. Note that this does not apply to the
% second possible objective function, i.e, the 1-norm.
% 0 = whole domain, 1 = channels only
sensitivity.costFunction.objOpt.intDomainType = 0;
switch costFuncType
case 'P_NORM'
sensitivity.costFunction.objOpt.normp = costFuncNormp;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
case 'P_NORM_CHANNEL'
sensitivity.costFunction.objOpt.normp = costFuncNormp;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.objOpt.intDomainType = 1;
case 'P_NORM_CHANNEL_W_OFFSET'
sensitivity.costFunction.objOpt.normp = costFuncNormp;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.objOpt.intDomainType = 1;
sensitivity.costFunction.objOpt.offset = 273.15;
case 'VARIANCE'
sensitivity.costFunction.objOpt.normp = 2;
sensitivity.costFunction.objOpt.calcOneNorm = true;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.area = mesh.domainArea;
case 'PRESSURE'
sensitivity.costFunction.objOpt.normp = 1;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.objOpt.intDomainType = 1;
case 'PRESSURE_AVE_PANEL'
sensitivity.costFunction.objOpt.normp = 1;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.objOpt.intDomainType = 0;
sensitivity.costFunction.area = mesh.domainArea;
case 'AREA'
sensitivity.costFunction.type = costFuncType;
case 'TPA'
error(['Need to update objective_n_gradient.m to use channel Tave.',...
'See PRESSURE in the script for more info'])
sensitivity.costFunction.objOpt.normp = costFuncNormp;
sensitivity.costFunction.objOpt.calcOneNorm = true;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.area = mesh.domainArea;
if numel(costFuncWeights) ~= 3
error('Three weights and reference scales must be provided')
end
sensitivity.costFunction.weights = costFuncWeights./costFuncScales;
case 'NODAL_T_IN'
% NOTE: only allows one node for now
sensitivity.costFunction.objOpt.normp = 1;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.objOpt.node = -1;
case 'NODAL_T_OUT'
% NOTE: only allows one node for now
sensitivity.costFunction.objOpt.normp = 1;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.objOpt.node = -2;
case 'NODAL_T_INOUT'
% NOTE: only allows one node for now
sensitivity.costFunction.objOpt.normp = 1;
sensitivity.costFunction.objOpt.calcOneNorm = false;
sensitivity.costFunction.type = costFuncType;
sensitivity.costFunction.objOpt.node = -3;
otherwise
error('unrecognized cost function type')
end
if (ischar(nlconType))
splitStr = regexp(nlconType,',','split');
for i = 1:numel(splitStr)
if (~strcmp(splitStr{i},'Pmin') ...
&& ~strcmp(splitStr{i},'Pmax') ...
&& ~strcmp(splitStr{i},'Tmax') ...
&& ~strcmp(splitStr{i},'Amin') ...
&& ~strcmp(splitStr{i},'Amax') ...
&& ~strcmp(splitStr{i},'Vmin') ...
&& ~strcmp(splitStr{i},'Vmax') ...
&& ~strcmp(splitStr{i},'nodalT') )
error('unknown nonlinear constraint type')
end
end
elseif (~isempty(nlconType))
error('unknown nonlinear constraint type')
end
readOptions.nlcon.type = nlconType;
readOptions.nlcon.minP = nlconMinP;
readOptions.nlcon.maxP = nlconMaxP;
readOptions.nlcon.maxTmax = nlconMaxTmax;
readOptions.nlcon.area = mesh.domainArea;
readOptions.nlcon.minAorVFrac = nlconMinAorVFrac;
readOptions.nlcon.maxAorVFrac = nlconMaxAorVFrac;
readOptions.nlcon.nodalTbounds = nlconNodalTbounds + mesh.convect.Toffset;
readOptions.nlcon.massin = nlconMassin;
readOptions.nlcon.inBCs = nlconInBCs;
% Initialize the global variables
directory = ['./',directory];
mkdir(directory);
G_filePrefix = filePrefix; % prefix to be added to the file names
% write simulation parameters to file
fnameSim = [directory,'/',filePrefix,'_simulation_parameters.txt'];
fidSim = fopen(fnameSim,'w');
fprintf(fidSim,'number of simulations %i\n',nSimulations);
fprintf(fidSim,'channel file %s\n',channelFile);
fprintf(fidSim,'polygon file %s\n',polygonFile);
fprintf(fidSim,'sample file %s\n',boundsFile_sampleFile);
fprintf(fidSim,'cost function type %s\n',costFuncType);
fprintf(fidSim,'cost function norm %g\n',costFuncNormp);
fprintf(fidSim,'cost function weights %g %g %g\n',costFuncWeights);
fprintf(fidSim,'cost function scales %g %g %g\n',costFuncScales);
fprintf(fidSim,'algorithm %s\n',sensitivity.options.Algorithm);
fprintf(fidSim,'TolFun %g\n',sensitivity.options.TolFun);
fprintf(fidSim,'TolX %g\n',sensitivity.options.TolX);
fprintf(fidSim,'TolCon %g\n',sensitivity.options.TolCon);
fprintf(fidSim,'obj scaled %i\n',scaleObj);
fprintf(fidSim,'area constraint scaled %i\n',scaleConstraint);
if (isempty(nlconType))
fprintf(fidSim,'nonlinear constraint type not applied\n');
else
fprintf(fidSim,'nonlinear constraint type %s\n',nlconType);
end
if (isempty(nlconMinP))
fprintf(fidSim,'minimum pressure (Pa) not applied\n');
else
fprintf(fidSim,'minimum pressure (Pa) %g\n',nlconMinP);
end
fprintf(fidSim,'maximum pressure (Pa) %g\n',nlconMaxP);
fprintf(fidSim,'maximum Tmax (Celsius) %g\n',nlconMaxTmax);
fprintf(fidSim,'minimum area or volume fraction %g\n',nlconMinAorVFrac);
fprintf(fidSim,'maximum area of volume fraction %g\n',nlconMaxAorVFrac);
fprintf(fidSim,'side triangle min angle %g\n',minSidePolyAngle);
fprintf(fidSim,'side triangle min area %g\n',minSidePolyArea);
fprintf(fidSim,'interior triangle min angle %g\n',minPolyAngle);
fprintf(fidSim,'interior triangle min area %g\n',minPolyArea);
fclose(fidSim);
% copy input file
spltStr = regexp(inputFile,'/','split');
copyfile(['./InputFiles/',inputFile],[directory,'/',spltStr{end}]);
for simNum = 1:nSimulations
G_simDirectory = [directory,'/sim',num2str(simNum),'/'];
mkdir(G_simDirectory)
G_history.iter = [];
G_history.fval = [];
G_history.SD = [];
G_history.x = [];
G_history.cstr = [];
G_history.inPressure = [];
G_history.inFlow = [];
G_history.Tave = [];
G_history.Tpnorm = [];
G_history.Tmax = [];
G_history.firstorderopt = [];
G_history.Tmax2TnRatio = [];
G_history.volFrac = [];
G_history.areaFrac = [];
G_history.Tin = [];
G_history.Tout = [];
G_history.TaveChan = [];
G_history.TminChan = [];
G_history.TmaxChan = [];
G_funcEvalCounter =0;
G_constraint.g = []; % constraint function values
G_constraint.history.nodalT = []; % Only applicable when the nodal temperature constraints are evaluated at different flow conditions
G_out = [];
G_out.costFuncType = costFuncType;
G_out.gauss = femParams.gauss;
G_out.normp = costFuncNormp;
G_out.nuFlag = 1; % evaluate viscosity at average network temperature
G_Tmax2TnRatio = 1.2; % initial guess for ratio
sensitivity.objScale = 1; % important to reset scale !
sensitivity.objOffset = 0.0;
try
fprintf('\n---------------------------------------------------------\n')
fprintf('Starting simulation %i ',simNum)
fprintf('\n---------------------------------------------------------\n')
%read channel file and design parameters
readOptions.figBounds = [mesh.boundary.xi, mesh.boundary.xf, ...
mesh.boundary.yi, mesh.boundary.yf];
readOptions.filePrefix = [G_simDirectory,G_filePrefix];
readOptions.polygonFile = polygonFile;
readOptions.polygonFig = [readOptions.filePrefix,'_polygons'];
readOptions.nlconfun = @nonlinear_constraints;
readOptions.nlcon.sinMinPolyAngle = sin(pi/180*minPolyAngle);
readOptions.nlcon.minPolyArea = minPolyArea;
readOptions.nlcon.sinMinSidePolyAngle = sin(minSidePolyAngle*pi/180);
readOptions.nlcon.minSidePolyArea = minSidePolyArea;
readOptions.mergeTriangles = mergeTriangles;
if (simNum == 1 && ~randomizeFirst)
readOptions.boundsFile = [];
readOptions.sampleFile = [];
readOptions.sampleNum = [];
elseif ~isempty(boundsFile_sampleFile)
if (nSimulations > 0 && jobNum_sampleNum > 0)
readOptions.sampleFile = boundsFile_sampleFile;
readOptions.sampleNum = (jobNum_sampleNum - 1)*nSimulations + simNum;
fprintf('Sample number %i ',readOptions.sampleNum)
fprintf('\n---------------------------------------------------------\n')
readOptions.boundsFile = [];
elseif (nSimulations == 1 && jobNum_sampleNum < 0)
readOptions.sampleFile = boundsFile_sampleFile;
readOptions.sampleNum = -jobNum_sampleNum;
fprintf('Only sample number %i is chosen !',readOptions.sampleNum)
fprintf('\n---------------------------------------------------------\n')
readOptions.boundsFile = [];
else
warning('Sample file not used')
readOptions.boundsFile = boundsFile_sampleFile;
readOptions.sampleFile = [];
readOptions.sampleNum = [];
end
end
readOptions.Toffset = mesh.convect.Toffset;
[channels, sensitivity.designParams, ...
sensitivity.restrictedParams]...
= preprocess_channels(channelFile,readOptions);
channels.domainVol = mesh.domainVol;
channels.domainArea = mesh.domainArea;
G_out.designParams = sensitivity.designParams; % for output only
write_channel_file([readOptions.filePrefix,'_ini.channel'],...
channels,...
mesh.convect.Toffset ,...
sensitivity.designParams,...
'w',[])
sensitivity.costFunction.objOpt.nDesignParams = sensitivity.designParams.nParams;
[lb,ub] = params_bounds(sensitivity.designParams, ...
sensitivity.restrictedParams);
% linear equality constraints
[Aeq,beq] = linear_equality_constraints(sensitivity.restrictedParams, ...
sensitivity.designParams.nParams);
% initial guess for the change in design parameter
iniGuess = zeros(sensitivity.designParams.nParams + sensitivity.restrictedParams.nParams,1);
costfun = @ (delParams) fem_n_sensitivity (delParams, ...
mesh, ...
channels, ...
femParams, ...
sensitivity, ...
1,false,false); % don't scale obj yet
if (scaleConstraint)
readOptions.nlcon.areaScale = mesh.domainArea;
%readOptions.nlcon.distSqScale = lengthScale^2;
end
nlconfun = @ (delParams) nonlinear_constraints(delParams, ...
sensitivity.designParams, ...
sensitivity.restrictedParams, ...
channels,...
readOptions.nlcon, ...
mesh, ...
femParams, ...
sensitivity);
if (scaleObj)
% IMPORTANT: i) must redeclare anonymous function after any of its arguments is changed
% ii) must ensure that the normalization factor is positive !
sensitivity.objScale = abs(costfun(iniGuess));
costfun = @ (delParams) fem_n_sensitivity (delParams, ...
mesh, ...
channels, ...
femParams, ...
sensitivity, ...
1,true,true);
G_out.objScale = sensitivity.objScale;
else
G_out.objScale = 1.0;
end
sensitivity.objOffset = 0.0;
G_out.objOffset = 0.0;
fminconTimer = tic;
[param_val, fval, exitflag, output, lambda, grad] ...
= fmincon (costfun,... % Pass the objective function
iniGuess,... % optimization parameter initial value (x0) (multiplied by velocity). x0 can be a scalar, vector, or matrix.
[], [],... % the inequalities: subject to the linear inequalities A*x <= b. Here x is param_val.
Aeq, beq,... % the linear equalities Aeq*x = beq. Here x is param_val.
lb, ub,... % bound for the param_val
nlconfun,... % the nonlinear constriant: the nonlinear inequalities c(x) or equalities ceq(x) defined in nonlcon.
sensitivity.options); % "sensitivity.options" which was defined earlier
fmincontime = toc(fminconTimer);
fprintf('fmincon time = %g \n',fmincontime)
%%
filePrefix = [G_simDirectory,G_filePrefix];
save([filePrefix,'_allVariables'])
simStatus = 'succeed';
fidSim = fopen(fnameSim,'a');
fprintf(fidSim,'\nSimulation %i %s, fmincon time = %g \n',simNum,simStatus, fmincontime);
catch err
filePrefix = [G_simDirectory,G_filePrefix];
save([filePrefix,'_allVariables'])
fprintf('SIMULATION %i FAILED because \n',simNum)
warning(getReport(err))
simStatus = 'failed';
fidSim = fopen(fnameSim,'a');
fprintf(fidSim,'\nSimulation %i %s \n',simNum,simStatus);
end
fclose ('all');
end % loop through all simulations
end