1#@ *: DakotaConfig=HAVE_NPSOL 2environment, 3 method_pointer = 'OPTIM' 4 5method, 6 id_method = 'OPTIM' 7 model_pointer = 'OPTIM_M' 8 npsol_sqp 9# dot_sqp 10# optpp_q_newton 11 convergence_tolerance = 1.e-6 12 output verbose 13 14model, 15 id_model = 'OPTIM_M' 16 nested 17 variables_pointer = 'OPTIM_V' 18 sub_method_pointer = 'UQ' 19 optional_interface_pointer = 'OPTIONAL_I' 20 optional_interface_responses_pointer = 'OPTIONAL_I_R' 21 responses_pointer = 'OPTIM_R' 22 primary_variable_mapping = 'x1' 'x2' 'x3' 'x4' 'x5' 'x6' 'x7' 23 secondary_variable_mapping = 'mean' 'mean' 'mean' 'mean' 'mean' 'mean' 'mean' 24# 10 component reliability constraints: 25# secondary_response_mapping = 2*0. 1. 27*0. 5*0. 1. 24*0. 26# 8*0. 1. 21*0. 11*0. 1. 18*0. 27# 14*0. 1. 15*0. 17*0. 1. 12*0. 28# 20*0. 1. 9*0. 23*0. 1. 6*0. 29# 26*0. 1. 3*0. 29*0. 1. 30# 1 system reliability constraint: 31 secondary_response_mapping = 30*0. 1. 32 33variables, 34 id_variables = 'OPTIM_V' 35 continuous_design = 7 36 initial_point 1.0 1.225 1.0 1.25 1.75 1.05 0.8 # mid-point 37# initial_point 0.5 1.1 0.5 1.0 0.875 0.9 0.4 # lower bound 38 lower_bounds 0.5 1.1 0.5 1.0 0.875 0.9 0.4 39 upper_bounds 1.5 1.35 1.5 1.5 2.625 1.2 1.2 40 descriptors 'x1_mean' 'x2_mean' 'x3_mean' 'x4_mean' 'x5_mean' 'x6_mean' 'x7_mean' 41 42responses, 43 id_responses = 'OPTIM_R' 44 objective_functions = 1 45# enforces component p < 0.1, beta* > 1.28155 46# nonlinear_inequality_constraints = 10 47# nonlinear_inequality_lower_bounds = 10*1.28155 48# nonlinear_inequality_upper_bounds = 10*1.e+50 49# enforces series system p < 0.1, beta* > 1.28155 50 nonlinear_inequality_constraints = 1 51 nonlinear_inequality_upper_bounds = 1.e+50 #s0,#s1,#s2,#s3 52 nonlinear_inequality_lower_bounds = 1.28155 #s0,#s1 53# enforces series parallel beta* > 20. 54# nonlinear_inequality_lower_bounds = 20. #s2,#s3 55 analytic_gradients 56# numerical_gradients 57# interval_type central 58# fd_gradient_step_size = 1.e-2 59 no_hessians 60 61interface, 62 id_interface = 'OPTIONAL_I' 63 direct 64 analysis_driver = 'side_impact_cost' 65 66responses, 67 id_responses = 'OPTIONAL_I_R' 68 objective_functions = 1 69 analytic_gradients 70 no_hessians 71 72method, 73 id_method = 'UQ' 74 model_pointer = 'UQ_M' 75 local_reliability nip 76# mpp_search x_taylor_mpp 77 mpp_search no_approx 78 response_levels = 1. 32. 32. 32. .32 .32 .32 4.01 9.9 15.69 79# compute probabilities 80# compute reliabilities 81 compute gen_reliabilities 82# integration second_order #s1,#s3 83# default is individual component reliabilities 84 series system #s0,#s1 85# parallel system #s2,#s3 86 complementary distribution 87 output silent 88 89model, 90 id_model = 'UQ_M' 91 single 92 variables_pointer = 'UQ_V' 93 interface_pointer = 'UQ_I' 94 responses_pointer = 'UQ_R' 95 96variables, 97 id_variables = 'UQ_V' 98 normal_uncertain = 11 99 means = 1.0 1.225 1.0 1.25 1.75 1.05 0.8 # mid-point 100 .345 .192 0. 0. 101 std_deviations = .03 .03 .03 .03 .03 .03 .03 .006 .006 10. 10. 102 descriptors = 'x1' 'x2' 'x3' 'x4' 'x5' 'x6' 'x7' 'x8' 'x9' 'x10' 'x11' 103 104interface, 105 id_interface = 'UQ_I' 106 direct 107 analysis_driver = 'side_impact_perf' 108 deactivate restart_file #evaluation_cache 109 110responses, 111 id_responses = 'UQ_R' 112 response_functions = 10 113 numerical_gradients 114 forward fd_gradient_step_size = 1.e-6 115 no_hessians #s0,#s2 116# numerical_hessians #s1,#s3 117# central fd_hessian_step_size = 1.e-5 #s1,#s3 118