{"id":395171,"date":"2024-11-25T12:41:21","date_gmt":"2024-11-25T12:41:21","guid":{"rendered":"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/topology-optimization-error-3\/"},"modified":"2024-11-25T12:41:21","modified_gmt":"2024-11-25T12:41:21","slug":"topology-optimization-error-3","status":"publish","type":"topic","link":"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/topology-optimization-error-3\/","title":{"rendered":"Topology Optimization Error"},"content":{"rendered":"

<p>Hello,<\/p><p>I am running a topology optimization of a 90 degree bend (see below).<\/p><p><\/p><p>The topology python script I adapted from the example on the website can run the zero-th iteration and it gets to the structure above.  However, it cannot run the next iteration.<\/p><p>This is the terminal output:<\/p><p>At iterate    0    f= -1.27792D+01    |proj g|=  2.50000D-01<br>Making forward solve<br>Making adjoint solve<br>Running solves<br>Processing forward solve<br>Traceback (most recent call last):<br>  File “E:\\Documents\\Research\\Lumerical\\Inverse\\bend\\bend_opt2.py”, line 74, in <module><br>    runSim(initial_cond, eps_min, eps_max, x_pos, y_pos, filter_R*1e-9, working_dir)<br>  File “E:\\Documents\\Research\\Lumerical\\Inverse\\bend\\bend_opt2.py”, line 45, in runSim<br>    opt.run(working_dir = working_dir)<br>  File “C:\\Program Files\\Lumerical\\v241\\api\\python\\lumopt\\optimization.py”, line 582, in run<br>    self.optimizer.run()<br>  File “C:\\Program Files\\Lumerical\\v241\\api\\python\\lumopt\\optimizers\\generic_optimizers.py”, line 50, in run<br>    res = spo.minimize(fun = self.callable_fom,<br>  File “C:\\Program Files\\Lumerical\\v241\\python\\Lib\\site-packages\\scipy\\optimize\\_minimize.py”, line 609, in minimize<br>    return _minimize_lbfgsb(fun, x0, args, jac, bounds,<br>  File “C:\\Program Files\\Lumerical\\v241\\python\\Lib\\site-packages\\scipy\\optimize\\lbfgsb.py”, line 345, in _minimize_lbfgsb<br>    f, g = func_and_grad(x)<br>  File “C:\\Program Files\\Lumerical\\v241\\python\\Lib\\site-packages\\scipy\\optimize\\lbfgsb.py”, line 295, in func_and_grad<br>    f = fun(x, *args)<br>  File “C:\\Program Files\\Lumerical\\v241\\python\\Lib\\site-packages\\scipy\\optimize\\optimize.py”, line 327, in function_wrapper<br>    return function(*(wrapper_args + args))<br>  File “C:\\Program Files\\Lumerical\\v241\\api\\python\\lumopt\\optimizers\\minimizer.py”, line 24, in callable_fom_local<br>    fom = callable_fom(params_over_scaling_factor)<br>  File “C:\\Program Files\\Lumerical\\v241\\api\\python\\lumopt\\optimization.py”, line 781, in callable_fom<br>    fom = self.process_forward_sim(iter)<br>  File “C:\\Program Files\\Lumerical\\v241\\api\\python\\lumopt\\optimization.py”, line 714, in process_forward_sim<br>    Optimization.check_simulation_was_successful(self.sim)<br>  File “C:\\Program Files\\Lumerical\\v241\\api\\python\\lumopt\\optimization.py”, line 1027, in check_simulation_was_successful<br>    raise UserWarning(‘FDTD simulation did not complete successfully: status {0}’.format(simulation_status))<br>UserWarning: FDTD simulation did not complete successfully: status 0.0<\/p><p> <\/p><p>If I check the log file, it states “Error: there was an unknown parallel error. The error code is 0, the process number is 5” for both the forward and adjoint solves.<\/p><p> <\/p><p>Once the script fails, I can independently run the simulation files that it has created for the forward and adjoint solves.  They will also crash but give more details:<\/p><p><\/p><p>From this error message, since I am doing a narrowband varFDTD simulation I tried following the suggestion and unchecked “can optimize mesh algorithm for extruded structures.”  However doing that does not solve the issue and I’m not sure how I can resolve the next error:<\/p><p><\/p><p>Any help would be appreciated.  Thank you!<\/p><\/p>\n","protected":false},"template":"","class_list":["post-395171","topic","type-topic","status-publish","hentry","topic-tag-inverse-design-2","topic-tag-topology-optimization"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t