#@ *: DakotaConfig=HAVE_DOT # DAKOTA INPUT FILE: dakota_sbouu3_cantilever.in # # OUU with surrogates: nested containing surrogate # environment, method_pointer = 'OPTIM' ########################### # begin opt specification # ########################### method, id_method = 'OPTIM' model_pointer = 'OPTIM_M' dot_sqp convergence_tolerance = 1.e-6 scaling model, id_model = 'OPTIM_M' nested variables_pointer = 'OPTIM_V' sub_method_pointer = 'UQ' responses_pointer = 'OPTIM_R' primary_response_mapping = 1. 0. 0. 0. 0. 0. secondary_response_mapping = 0. 0. 1. 3. 0. 0. 0. 0. 0. 0. 1. 3. variables, id_variables = 'OPTIM_V' continuous_design = 2 initial_point 2.5 2.5 upper_bounds 10.0 10.0 lower_bounds 1.0 1.0 descriptors 'w' 't' scale_type = 'value' scales = 2.5 2.5 responses, # minimize mean Weight # s.t. mean_S + 3 sigma_S <= 0 # mean_D + 3 sigma_D <= 0 # # NOTE: This specifies the TOTAL RESPONSE for the optimization, # which is a combination of nested & interface responses. id_responses = 'OPTIM_R' objective_functions = 1 nonlinear_inequality_constraints = 2 numerical_gradients method_source dakota interval_type central fd_gradient_step_size = 1.e-2 no_hessians ########################## # begin UQ specification # ########################## method, id_method = 'UQ' model_pointer = 'UQ_M' sampling samples = 5000 sample_type lhs seed = 12347 # fixed_seed #s1 output quiet model, id_model = 'UQ_M' surrogate global variables_pointer = 'UQ_V' responses_pointer = 'UQ_R' dace_method_pointer = 'DACE' polynomial quadratic variables, id_variables = 'UQ_V' continuous_design = 2 normal_uncertain = 4 means = 40000. 29.E+6 500. 1000. std_deviations = 2000. 1.45E+6 100. 100. descriptors = 'R' 'E' 'X' 'Y' scale_type = 'auto' responses, id_responses = 'UQ_R' response_functions = 3 no_gradients no_hessians ############################ # begin DACE specification # ############################ method, id_method = 'DACE' model_pointer = 'DACE_M' sampling seed = 12347 sample_type lhs #samples = 42 # dace lhs seed = 5 # samples = 50 model, id_model = 'DACE_M' single variables_pointer = 'DACE_V' interface_pointer = 'UQ_ACTUAL' responses_pointer = 'UQ_R' variables, id_variables = 'DACE_V' active all continuous_design = 2 normal_uncertain = 4 means = 40000. 29.E+6 500. 1000. std_deviations = 2000. 1.45E+6 100. 100. descriptors = 'R' 'E' 'X' 'Y' interface, id_interface = 'UQ_ACTUAL' direct # system asynch evaluation_concurrency = 5 analysis_driver = 'cantilever'