1#@ s*: Label=FastTest 2#@ p*: Label=FastTest 3#@ p0: MPIProcs=2 4#@ s0: UserMan=cantilever_uq_sop_rel 5# DAKOTA Input File: dakota_uq_cantilever_sop_rel.in 6# Dakota Input File: cantilever_uq_sop_rel.in #s0 7# Second-order probability (SOP) for the cantilever test function using 8# reliability methods on the inner loop. 9 10# Combines EPISTEMIC UQ using sampling with ALEATORY UQ using 11# local_reliability. Note that test 0 is the test where the outer loop is 12# treated as an interval variable, and test 1 is the case where the outer loop 13# is treated as uniform. For test 0, the outer loop statistics are reported as 14# intervals on the inner loop statistics, where in test 1 they are treated as a 15# regular probability case in the outer loop. 16 17environment 18 top_method_pointer = 'EPISTEMIC' 19 20################################# 21# begin EPISTEMIC specification # 22################################# 23method 24 id_method = 'EPISTEMIC' 25 sampling 26 samples = 50 seed = 12347 27# response_levels = 9.52 3.0 3.0 #s1 28 model_pointer = 'EPIST_M' 29 30model 31 id_model = 'EPIST_M' 32 nested 33 sub_method_pointer = 'ALEATORY' 34 primary_variable_mapping = 'X' 'Y' 35 secondary_variable_mapping = 'mean' 'mean' 36 primary_response_mapping = 1. 0. 0. 0. 0. 0. 0. 0. 37 0. 0. 0. 0. 1. 0. 0. 0. 38 0. 0. 0. 0. 0. 0. 0. 1. 39 variables_pointer = 'EPIST_V' 40 responses_pointer = 'EPIST_R' 41 42variables 43 id_variables = 'EPIST_V' 44 continuous_interval_uncertain = 2 #s0,#p0 45 num_intervals = 1 1 #s0,#p0 46 interval_probabilities = 1.0 1.0 #s0,#p0 47 lower_bounds = 400.0 800.0 #s0,#p0 48 upper_bounds = 600.0 1200.0 #s0,#p0 49 descriptors 'X_mean' 'Y_mean' #s0,#p0 50# uniform_uncertain = 2 #s1 51# lower_bounds 400. 800. #s1 52# upper_bounds 600. 1200. #s1 53# descriptors 'X_mean' 'Y_mean' #s1 54 55responses 56# minimize mean Weight 57# s.t. beta_S/D >= 3 58# 59# NOTE: This specifies the TOTAL RESPONSE for the optimization, 60# which is a combination of nested & interface responses. 61 id_responses = 'EPIST_R' 62 response_functions = 3 63 descriptors = 'mean_wt' 'ccdf_beta_s' 'ccdf_beta_d' 64 no_gradients 65 no_hessians 66 67################################ 68# begin ALEATORY specification # 69################################ 70method 71 id_method = 'ALEATORY' 72 local_reliability 73 mpp_search no_approx 74 response_levels = 0.0 0.0 75 num_response_levels = 0 1 1 76 compute reliabilities 77 distribution complementary 78 model_pointer = 'ALEAT_M' 79 80model 81 id_model = 'ALEAT_M' 82 single 83 interface_pointer = 'ALEAT_I' 84 variables_pointer = 'ALEAT_V' 85 responses_pointer = 'ALEAT_R' 86 87variables 88 id_variables = 'ALEAT_V' 89 continuous_design = 2 90 initial_point 2.4522 3.8826 91 descriptors 'w' 't' 92 normal_uncertain = 4 93 means = 40000. 29.E+6 500. 1000. 94 std_deviations = 2000. 1.45E+6 100. 100. 95 descriptors = 'R' 'E' 'X' 'Y' 96 97interface 98 id_interface = 'ALEAT_I' 99 analysis_drivers = 'cantilever' 100 direct 101 deactivate evaluation_cache restart_file 102 103responses 104 id_responses = 'ALEAT_R' 105 response_functions = 3 106 descriptors = 'weight' 'stress' 'displ' 107 analytic_gradients #s0,#s1 108# numerical_gradients #p0 109# method_source dakota #p0 110# interval_type central #p0 111# fd_gradient_step_size = 0.0001 #p0 112 no_hessians 113