From 17167ebb5afd8714d7aab752840f3f96686f23f7 Mon Sep 17 00:00:00 2001 From: Garrett Barter Date: Thu, 14 Dec 2023 17:16:42 -0700 Subject: [PATCH] add more tests and freshen up the CI --- .github/workflows/CI_RAFT.yml | 13 +- tests/inactivetest_omdao_OC3spar.py | 200 ------------------ tests/test_omdao_OC3spar.py | 306 ++++++++++++++++++++++++++++ 3 files changed, 313 insertions(+), 206 deletions(-) delete mode 100644 tests/inactivetest_omdao_OC3spar.py create mode 100644 tests/test_omdao_OC3spar.py diff --git a/.github/workflows/CI_RAFT.yml b/.github/workflows/CI_RAFT.yml index 21682f2..9de3cd6 100644 --- a/.github/workflows/CI_RAFT.yml +++ b/.github/workflows/CI_RAFT.yml @@ -20,20 +20,21 @@ jobs: steps: - name: checkout repository - uses: actions/checkout@v3 + uses: actions/checkout@v4 - uses: conda-incubator/setup-miniconda@v2 # https://github.com/marketplace/actions/setup-miniconda with: - mamba-version: "*" - miniconda-version: "latest" - #auto-update-conda: true + # To use mamba, uncomment here, comment out the miniforge line + #mamba-version: "*" + miniforge-version: "latest" + auto-update-conda: true python-version: ${{ matrix.python-version }} environment-file: environment.yml - channels: conda-forge - channel-priority: true activate-environment: test auto-activate-base: false + channels: conda-forge + channel-priority: true # Install - name: Conda Install RAFT diff --git a/tests/inactivetest_omdao_OC3spar.py b/tests/inactivetest_omdao_OC3spar.py deleted file mode 100644 index b13e3ab..0000000 --- a/tests/inactivetest_omdao_OC3spar.py +++ /dev/null @@ -1,200 +0,0 @@ -import numpy as np -import openmdao.api as om -import os -import yaml - -import raft -from raft.omdao_raft import RAFT_Group -from common import test - -# ----------------------------------- -# OMDAO -# ----------------------------------- -w = np.arange(0.05, 5, 0.05) # frequency range (to be set by modeling options yaml) - -# ------------------------- -# options -# ------------------------- -opt = {} - -opt['modeling'] = {} -opt['modeling']['nfreq'] = len(w) -opt['modeling']['potModMaster'] = 1 -opt['modeling']['XiStart'] = 0 -opt['modeling']['nIter'] = 0 -opt['modeling']['dlsMax'] = 5.0 -opt['modeling']['n_cases'] = 1 - -opt['turbine'] = {} -opt['turbine']['npts'] = 11 -opt['turbine']['shape'] = 'circ' -opt['turbine']['scalar_thicknesses'] = False -opt['turbine']['scalar_diameters'] = False -opt['turbine']['scalar_coefficients'] = True - -# TODO: this is a little awkward - what happens if nmembers != length of array? -opt['members'] = {} -opt['members']['nmembers'] = 1 -opt['members']['npts'] = np.array([4]) -opt['members']['npts_lfill'] = np.array([3]) -opt['members']['npts_rho_fill'] = np.array([3]) -opt['members']['ncaps'] = np.array([1]) -opt['members']['nreps'] = np.array([1]) -opt['members']['shape'] = np.array(['circ']) # can be 'circ', 'rect', or 'square' -opt['members']['scalar_diameters'] = np.array([False]) -opt['members']['scalar_thicknesses'] = np.array([True]) -opt['members']['scalar_coefficients'] = np.array([True]) - -opt['mooring'] = {} -opt['mooring']['nlines'] = 3 -opt['mooring']['nline_types'] = 1 -opt['mooring']['nconnections'] = 6 - -opt['analysis'] = {} -opt['analysis']['general'] = {} -opt['analysis']['general']['folder_output'] = 'output' - -prob = om.Problem() -prob.model = RAFT_Group(modeling_options=opt['modeling'], - analysis_options=opt['analysis'], - turbine_options=opt['turbine'], - mooring_options=opt['mooring'], - member_options=opt['members']) -prob.setup() - -# ------------------------- -# inputs -# ------------------------- -prob['frequency_range'] = w - -# ------------------------- -# turbine -# ------------------------- -prob['turbine_mRNA'] = 350000 -prob['turbine_IxRNA'] = 35444067 -prob['turbine_IrRNA'] = 26159984.0 -prob['turbine_xCG_RNA'] = 0 -prob['turbine_hHub'] = 90.0 -prob['turbine_Fthrust'] = 800.0E3 -prob['turbine_yaw_stiffness'] = 98340000.0 -# tower -prob['turbine_tower_rA'] = [0, 0, 10] -prob['turbine_tower_rB'] = [0, 0, 87.6] -prob['turbine_tower_gamma'] = 0.0 -prob['turbine_tower_stations'] = [10, 17.76, 25.52, 33.28, 41.04, 48.8, 56.56, 64.32, 72.08, 79.84, 87.6] -prob['turbine_tower_d'] = [6.5, 6.237, 5.974, 5.711, 5.448, 5.185, 4.922, 4.659, 4.396, 4.133, 3.870] -prob['turbine_tower_t'] = [0.027, 0.0262, 0.0254, 0.0246, 0.0238, 0.023, 0.0222, 0.0214, 0.0206, 0.0198, 0.0190] -prob['turbine_tower_Cd'] = 0.0 -prob['turbine_tower_Ca'] = 0.0 -prob['turbine_tower_CdEnd'] = 0.0 -prob['turbine_tower_CaEnd'] = 0.0 -prob['turbine_tower_rho_shell'] = 8500 - -# ------------------------- -# platform -# ------------------------- -# member 1 -prob['platform_member1_rA'] = [0, 0, -120] -prob['platform_member1_rB'] = [0, 0, 10] -prob['platform_member1_gamma'] = 0.0 -prob['platform_member1_potMod'] = True -prob['platform_member1_stations'] = [-120, -12, -4, 10] -prob['platform_member1_d'] = [9.4, 9.4, 6.5, 6.5] -prob['platform_member1_t'] = 0.027 -prob['platform_member1_Cd'] = 0.8 -prob['platform_member1_Ca'] = 1.0 -prob['platform_member1_CdEnd'] = 0.6 -prob['platform_member1_CaEnd'] = 0.6 -prob['platform_member1_rho_shell'] = 8500 -prob['platform_member1_l_fill'] = [52.9, 0.0, 0.0] -prob['platform_member1_rho_fill'] = [1800.0, 0.0, 0.0] -prob['platform_member1_cap_stations'] = [-120] -prob['platform_member1_cap_t'] = [0.2] -prob['platform_member1_cap_d_in'] = [0] - -# ------------------------- -# mooring -# ------------------------- -prob['mooring_water_depth'] = 320 -# connection points -prob['mooring_point1_name'] = 'line1_anchor' -prob['mooring_point1_type'] = 'fixed' -prob['mooring_point1_location'] = [853.87, 0.0, -320.0] -prob['mooring_point2_name'] = 'line2_anchor' -prob['mooring_point2_type'] = 'fixed' -prob['mooring_point2_location'] = [-426.935, 739.47311, -320.0] -prob['mooring_point3_name'] = 'line3_anchor' -prob['mooring_point3_type'] = 'fixed' -prob['mooring_point3_location'] = [-426.935, -739.47311, -320.0] -prob['mooring_point4_name'] = 'line1_vessel' -prob['mooring_point4_type'] = 'vessel' -prob['mooring_point4_location'] = [5.2, 0, -70.0] -prob['mooring_point5_name'] = 'line2_vessel' -prob['mooring_point5_type'] = 'vessel' -prob['mooring_point5_location'] = [-2.6, 4.5033, -70.0] -prob['mooring_point6_name'] = 'line3_vessel' -prob['mooring_point6_type'] = 'vessel' -prob['mooring_point6_location'] = [-2.6, -4.5033, -70.0] -# lines -prob['mooring_line1_endA'] = 'line1_anchor' -prob['mooring_line1_endB'] = 'line1_vessel' -prob['mooring_line1_type'] = 'chain' -prob['mooring_line1_length'] = 902.2 -prob['mooring_line2_endA'] = 'line2_anchor' -prob['mooring_line2_endB'] = 'line2_vessel' -prob['mooring_line2_type'] = 'chain' -prob['mooring_line2_length'] = 902.2 -prob['mooring_line3_endA'] = 'line3_anchor' -prob['mooring_line3_endB'] = 'line3_vessel' -prob['mooring_line3_type'] = 'chain' -prob['mooring_line3_length'] = 902.2 -# line types -prob['mooring_line_type1_name'] = 'chain' -prob['mooring_line_type1_diameter'] = 0.09 -prob['mooring_line_type1_mass_density'] = 77.7066 -prob['mooring_line_type1_stiffness'] = 384.243e6 -prob['mooring_line_type1_breaking_load'] = 1e8 -prob['mooring_line_type1_cost'] = 100.0 -prob['mooring_line_type1_transverse_added_mass'] = 1.0 -prob['mooring_line_type1_tangential_added_mass'] = 0.0 -prob['mooring_line_type1_transverse_drag'] = 1.6 -prob['mooring_line_type1_tangential_drag'] = 0.1 - -prob.run_model() - - -# ----------------------------------- -# YAML input -# ----------------------------------- - -fname_design = os.path.join(os.path.join('..', 'designs'), 'OC3spar.yaml') - -# open the design YAML file and parse it into a dictionary for passing to raft -with open(fname_design) as file: - design = yaml.load(file, Loader=yaml.FullLoader) -design['potModMaster'] = 1 - -# grab the depth (currently needs to be passed separately) -depth = float(design['mooring']['water_depth']) - -# set up frequency range for computing response over -w = np.arange(0.05, 5, 0.05) # frequency range (to be set by modeling options yaml) - -# Create and run the model -model = raft.Model(design, w=w, depth=depth) - -model.setEnv(spectrum="unit") - -model.calcSystemProps() - -model.solveEigen() - -model.calcMooringAndOffsets() - -model.solveDynamics() - -results = model.calcOutputs() -print('-----------------') -testPass = test(prob, results) - -print('Test ' + ('FAILED' if not testPass else 'PASSED')) diff --git a/tests/test_omdao_OC3spar.py b/tests/test_omdao_OC3spar.py new file mode 100644 index 0000000..67fec37 --- /dev/null +++ b/tests/test_omdao_OC3spar.py @@ -0,0 +1,306 @@ +import unittest + +import numpy.testing as npt +import numpy as np +import openmdao.api as om +from raft.omdao_raft import RAFT_Group + + +class TestSpider(unittest.TestCase): + def testSpiderRegression(self): + + opt = {} + + opt['modeling'] = {} + + opt['modeling']['flag'] = True + opt['modeling']['potential_model_override'] = 0 + opt['modeling']['potential_bem_members'] = ['spar'] + opt['modeling']['min_freq_BEM'] = 0.0999999 + opt['modeling']['min_freq'] = 0.1 + opt['modeling']['max_freq'] = 1.0 + opt['modeling']['xi_start'] = 0.0 + opt['modeling']['nIter'] = 15 + opt['modeling']['dls_max'] = 5 + opt['modeling']['trim_ballast'] = 0 + opt['modeling']['heave_tol'] = 1 + opt['modeling']['save_designs'] = False + opt['modeling']['runPyHAMS'] = True + opt['modeling']['BEM_dir'] = 'none/BEM' + opt['modeling']['model_potential'] = [True,False, False,False] + opt['modeling']['nfreq'] = 10 + opt['modeling']['n_cases'] = 2 + + opt['turbine'] = {} + opt['turbine']['npts'] = 11 + opt['turbine']['scalar_thicknesses'] = False + opt['turbine']['scalar_diameters'] = False + opt['turbine']['scalar_coefficients'] = False + opt['turbine']['shape'] = 'circ' + opt['turbine']['PC_GS_n'] = 30 + opt['turbine']['n_span'] = 30 + opt['turbine']['n_aoa'] = 200 + opt['turbine']['n_Re'] = 1 + opt['turbine']['n_tab'] = 1 + opt['turbine']['n_pc'] = 20 + opt['turbine']['n_af'] = 7 + opt['turbine']['af_used_names'] = ['Cylinder', 'Cylinder', 'DU40_A17', 'DU35_A17', 'DU30_A17', 'DU25_A17', 'DU21_A17', 'NACA64_A17', 'NACA64_A17'] + + + opt['members'] = {} + opt['members']['nmembers'] = 4 + opt['members']['npts'] = [6, 2, 2, 2] + opt['members']['npts_lfill'] = [5, 1, 1, 1] + opt['members']['npts_rho_fill'] = [5, 1, 1, 1] + opt['members']['ncaps'] = [5, 2, 2, 2] + opt['members']['nreps'] = [0, 0, 0, 0] + opt['members']['shape'] = ['circ', 'circ', 'circ', 'circ'] + opt['members']['scalar_thicknesses'] = [False, False, False, False] + opt['members']['scalar_diameters'] = [False, False, False, False] + opt['members']['scalar_coefficients'] = [False, False, False, False] + opt['members']['n_ballast_type'] = 2 + + opt['mooring'] = {} + opt['mooring']['nlines'] = 3 + opt['mooring']['nline_types'] = 1 + opt['mooring']['nconnections'] = 6 + + opt['analysis'] = {} + opt['analysis']['general'] = {} + opt['analysis']['general']['folder_output'] = 'output' + + prob = om.Problem() + prob.model = RAFT_Group(modeling_options=opt['modeling'], + analysis_options=opt['analysis'], + turbine_options=opt['turbine'], + mooring_options=opt['mooring'], + member_options=opt['members']) + prob.setup() + + # ------------------------- + # inputs + # ------------------------- + prob['Fl_Kp'] = [0.0] + prob['shear_exp'] = [0.11] + prob['wind_reference_height'] = [90.0] + prob['nBlades'] = 3 + prob['airfoils_name'] = ['DU40_A17', 'Cylinder', 'DU30_A17', 'DU21_A17', 'DU25_A17', 'DU35_A17', 'NACA64_A17'] + prob['raft_dlcs'] = [[14.0, 0.0, 'IB_NTM', 'operating', 0, 'JONSWAP', 1.0, 7.0, 0.0], [16.0, 0.0, 'IB_NTM', 'operating', 0, 'JONSWAP', 2.0, 8.0, 0.0]] + + # ------------------------- + # turbine + # ------------------------- + prob['turbine_Fthrust'] = [1159112.2383200827] + prob['turbine_IrRNA'] = [24901633.358042654] + prob['turbine_IxRNA'] = [37529686.66211496] + prob['turbine_hHub'] = [90.0] + prob['turbine_mRNA'] = [210369.7623886403] + prob['turbine_overhang'] = [5.0] + prob['turbine_tower_Ca'] = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + prob['turbine_tower_CaEnd'] = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + prob['turbine_tower_Cd'] = [0.7008455614091645, 0.7016469752391513, 0.7026995693220366, 0.7038669315998577, 0.7051082306017693, 0.7063666983271379, 0.7074097851470198, 0.7081055742541656, 0.7082150447201733, 0.7073650177679025, 0.7051730147379945] + prob['turbine_tower_CdEnd'] = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0] + prob['turbine_tower_d'] = [6.5, 6.24, 5.97, 5.71, 5.45, 5.18, 4.92, 4.66, 4.4, 4.13, 3.8699999999999997] + prob['turbine_tower_gamma'] = [0.0] + prob['turbine_tower_rA'] = [0.0, 0.0, 10.0] + prob['turbine_tower_rB'] = [0.0, 0.0, 87.7] + prob['turbine_tower_rho_shell'] = [7800.0] + prob['turbine_tower_stations'] = [0.0, 0.10000000000000003, 0.19999999999999998, 0.30000000000000004, 0.39999999999999997, 0.5, 0.6000000000000001, 0.7, 0.7999999999999999, 0.9, 1.0] + prob['turbine_tower_t'] = [0.027, 0.0262, 0.0254, 0.0246, 0.0238, 0.023, 0.0222, 0.0214, 0.0206, 0.0198, 0.019000000000000003] + prob['turbine_xCG_RNA'] = [-2.7914555962810814] + prob['turbine_yaw_stiffness'] = [2105054739.1200264] + prob['airfoils_aoa'] = [-3.141592653589793, -3.0892327760299634, -3.036872898470133, -2.9845130209103035, -2.9321531433504737, -2.8797932657906435, -2.827433388230814, -2.775073510670984, -2.722713633111154, -2.670353755551324, -2.617993877991494, -2.5656340004316642, -2.5132741228718345, -2.4609142453120043, -2.4085543677521746, -2.356194490192345, -2.3038346126325147, -2.251474735072685, -2.199114857512855, -2.146754979953025, -2.0943951023931953, -2.0420352248333655, -1.9896753472735356, -1.9373154697137056, -1.8849555921538759, -1.832595714594046, -1.780235837034216, -1.727875959474386, -1.6755160819145563, -1.6231562043547263, -1.5707963267948963, -1.5184364492350666, -1.4660765716752366, -1.4137166941154067, -1.361356816555577, -1.308996938995747, -1.256637061435917, -1.2042771838760873, -1.1519173063162573, -1.0995574287564276, -1.0471975511965974, -0.9948376736367677, -0.9424777960769379, -0.8901179185171078, -0.837758040957278, -0.7853981633974483, -0.7330382858376181, -0.6806784082777884, -0.6283185307179586, -0.5759586531581284, -0.5235987755982988, -0.513021022555909, -0.502443269513519, -0.4918655164711292, -0.4812877634287393, -0.4707100103863494, -0.46013225734395957, -0.4495545043015697, -0.4389767512591798, -0.42839899821678995, -0.41782124517440006, -0.40724349213201017, -0.39666573908962033, -0.38608798604723044, -0.37551023300484054, -0.3649324799624507, -0.3543547269200608, -0.3437769738776709, -0.3331992208352811, -0.3226214677928912, -0.3120437147505013, -0.30146596170811146, -0.29088820866572157, -0.2803104556233317, -0.26973270258094184, -0.25915494953855195, -0.24857719649616206, -0.23799944345377216, -0.22742169041138233, -0.21684393736899243, -0.20626618432660254, -0.1956884312842127, -0.1851106782418228, -0.17453292519943292, -0.16395517215704308, -0.1533774191146532, -0.1427996660722633, -0.13222191302987346, -0.12164415998748357, -0.11106640694509368, -0.10048865390270378, -0.08991090086031395, -0.07933314781792405, -0.06875539477553416, -0.058177641733144325, -0.04759988869075443, -0.03702213564836454, -0.026444382605974703, -0.015866629563584866, -0.0052888765211949185, 0.0052888765211949185, 0.015866629563584866, 0.026444382605974703, 0.03702213564836454, 0.04759988869075449, 0.058177641733144325, 0.06875539477553416, 0.07933314781792411, 0.08991090086031395, 0.10048865390270378, 0.11106640694509373, 0.12164415998748357, 0.1322219130298734, 0.14279966607226335, 0.1533774191146532, 0.16395517215704303, 0.17453292519943298, 0.1851106782418228, 0.19568843128421265, 0.2062661843266026, 0.21684393736899243, 0.22742169041138227, 0.23799944345377222, 0.24857719649616206, 0.2591549495385519, 0.26973270258094184, 0.2803104556233317, 0.2908882086657215, 0.30146596170811146, 0.3120437147505013, 0.32262146779289125, 0.3331992208352811, 0.3437769738776709, 0.35435472692006087, 0.3649324799624507, 0.37551023300484054, 0.3860879860472305, 0.39666573908962033, 0.40724349213201017, 0.4178212451744001, 0.42839899821678995, 0.4389767512591798, 0.44955450430156974, 0.46013225734395957, 0.4707100103863494, 0.48128776342873925, 0.4918655164711291, 0.5024432695135191, 0.513021022555909, 0.5235987755982988, 0.5759586531581287, 0.6283185307179586, 0.6806784082777885, 0.7330382858376183, 0.7853981633974483, 0.8377580409572781, 0.890117918517108, 0.9424777960769379, 0.9948376736367679, 1.0471975511965979, 1.0995574287564276, 1.1519173063162573, 1.2042771838760875, 1.2566370614359172, 1.3089969389957472, 1.3613568165555772, 1.413716694115407, 1.4660765716752369, 1.5184364492350668, 1.5707963267948966, 1.6231562043547263, 1.6755160819145565, 1.7278759594743862, 1.780235837034216, 1.8325957145940461, 1.8849555921538759, 1.937315469713706, 1.9896753472735358, 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prob['blade_theta'] = [13.308000180172, 13.308000180172, 13.308000180172, 13.308000180172, 13.308000180172, 13.27998884375364, 12.335570816951353, 11.299851335869668, 10.608203094087314, 9.975417328120727, 9.387115627540592, 8.785040906252279, 8.155968680944982, 7.51563610678596, 6.863446722622106, 6.233104839458657, 5.624189458687656, 5.012955961696406, 4.403133829816835, 3.821482956674538, 3.272695988895811, 2.8162941264888617, 2.4142451382835444, 2.003730085914454, 1.594414027181603, 1.1799586856042907, 0.7722910916991717, 0.3885197488983106, 0.13623584606856495, 0.10600005688817796] + prob['gear_ratio'] = [96.0] + prob['hub_radius'] = [1.5] + prob['mu_air'] = [1.81e-05] + prob['precone'] = [2.499814860155782] + prob['rated_rotor_speed'] = [12.126090902239644] + prob['rho_air'] = [1.225] + prob['rho_water'] = [1025.0] + prob['rotor_PC_GS_Ki'] = [-0.001052878214281871, -0.0009007028558454134, -0.0007869612073112069, -0.0006987254638421395, -0.0006282812504249029, -0.0005707402685070013, -0.0005228547466892069, -0.00048238250519572174, -0.0004477257220980474, -0.00041771497902817734, -0.00039147470258697113, -0.0003683363248133816, -0.000347780521258279, -0.000329397767908994, -0.0003128607792452187, -0.0002979048516854225, -0.00028431358775948384, -0.00027190835759670785, -0.00026054040398058983, -0.00025008484836107754, -0.00024043608442564813, -0.00023150419840723912, -0.00022321215869871322, -0.00021549358855808422, -0.00020829098548095728, -0.00020155428611512164, -0.00019523970093777277, -0.00018930876133192357, -0.00018372753522813583, -0.00017846597752015916] + prob['rotor_PC_GS_Kp'] = [-0.01155677935786742, -0.009275261359111076, -0.00756996806455072, -0.006247076901837379, -0.005190928636632085, -0.004328234523336314, -0.003610301731656665, -0.0030035139549355306, -0.0024839155440709035, -0.002033973771805906, -0.0016405614374564378, -0.0012936549087327889, -0.0009854681150775675, -0.0007098611898564572, -0.0004619272426702107, -0.00023769765473716088, -3.3928045836751384e-05, 0.00015205972633535762, 0.0003224959326350152, 0.00047925283847056744, 0.0006239137665644245, 0.0007578267661671128, 0.0008821467482968329, 0.000997868878879897, 0.001105855275148019, 0.00120685652142918, 0.001301529140470962, 0.0013904498803286708, 0.0014741274740058203, 0.001553012378471194] + prob['rotor_PC_GS_angles'] = [0.0, 0.0715621225776534, 0.08773665371850184, 0.10400288289241569, 0.12040369272119619, 0.1369853452701298, 0.15379823498271342, 0.17089776848091118, 0.18834540734482655, 0.20620991951915665, 0.22157752935892003, 0.23129844724009277, 0.2407994651904149, 0.2500952852438235, 0.25920175984272564, 0.2681356942806361, 0.27691470861377565, 0.2855571512182247, 0.29408205784466557, 0.3025091515736351, 0.31085888052390886, 0.3191524915482118, 0.3274121395049951, 0.33566103307153744, 0.3439236195205175, 0.3522258124900162, 0.3605952686230813, 0.36906172114856783, 0.37648737812646105, 0.3835216188484712] + prob['rotor_TC_VS_Ki'] = [-154.91326410058622] + prob['rotor_TC_VS_Kp'] = [-1492.2961374522677] + prob['rotor_inertia'] = [35692016.048775055] + prob['rotor_powercurve_omega_rpm'] = [6.899939740828794, 6.899939740828794, 6.899939740828794, 6.899939740828794, 7.007976800069685, 7.255399946448759, 7.3049692350849975, 7.650769631937398, 8.287490043856911, 9.205351183577271, 10.390255768228583, 11.824005037256768, 12.126090902239644, 12.126090902239644, 12.126090902239644, 12.126090902239644, 12.126090902239644, 12.126090902239644, 12.126090902239644, 12.126090902239644] + prob['rotor_powercurve_pitch'] = [1.5586112272169546, 1.8124253382752327, 1.062365830470572, -0.7035977579761596, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5.000882520589389e-18, 5.616929278126907, 9.473573880731745, 12.584867884300586, 15.421668799205388, 18.099376582959863, 20.648360999150785, 23.0697395321926] + prob['rotor_powercurve_v'] = [3.0, 4.272046072021933, 5.304031475548528, 6.080106111341953, 6.588350372834852, 6.820958217466749, 6.867559376486633, 7.19265379938859, 7.7912484127754045, 8.6541494974404, 9.768103893234573, 11.116002552239781, 11.495708522428979, 12.677143313907282, 14.42754886624012, 16.340335009504354, 18.386123566365413, 20.53349359662874, 22.749463986449395, 25.0] + prob['tilt'] = [4.999629720311564] + + # ------------------------- + # platform + # ------------------------- + prob['platform_member1_potMod'] = True + prob['platform_member2_potMod'] = False + prob['platform_member3_potMod'] = False + prob['platform_member4_potMod'] = False + # member 1 + prob['platform_member1_Ca'] = [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] + prob['platform_member1_CaEnd'] = [0.6, 0.6, 0.6, 0.6, 0.6, 0.6] + prob['platform_member1_Cd'] = [0.8, 0.8, 0.8, 0.8, 0.8, 0.8] + prob['platform_member1_CdEnd'] = [0.6, 0.6, 0.6, 0.6, 0.6, 0.6] + prob['platform_member1_cap_d_in'] = [0.0, 0.0, 0.0, 0.0, 0.0] + prob['platform_member1_cap_stations'] = [0.0, 0.1, 0.5, 0.8308, 1.0] + prob['platform_member1_cap_t'] = [0.1, 0.05, 0.05, 0.05, 0.05] + prob['platform_member1_d'] = [9.4, 9.4, 9.4, 9.4, 6.5, 6.5] + prob['platform_member1_gamma'] = [0.0] + prob['platform_member1_heading'] = [] + prob['platform_member1_l_fill'] = [0.10324412152256533, 0.0, 0.054227176236731345, 0.0, 0.0] + prob['platform_member1_rA'] = [0.0, 0.0, -120.0] + prob['platform_member1_rB'] = [0.0, 0.0, 10.0] + prob['platform_member1_rho_fill'] = [5000.0, 0.0, 1025.0, 0.0, 0.0] + prob['platform_member1_rho_shell'] = [7800.0] + prob['platform_member1_ring_h'] = [0.0] + prob['platform_member1_ring_spacing'] = [0.0] + prob['platform_member1_ring_t'] = [0.0] + prob['platform_member1_s_ghostA'] = [0.0] + prob['platform_member1_s_ghostB'] = [1.0] + prob['platform_member1_stations'] = [0.0, 0.38462, 0.4, 0.8308, 0.8923, 1.0] + prob['platform_member1_t'] = [0.08, 0.08, 0.08, 0.08, 0.08, 0.08] + prob['platform_member2_Ca'] = [1.0, 1.0] + prob['platform_member2_CaEnd'] = [0.6, 0.6] + prob['platform_member2_Cd'] = [0.8, 0.8] + prob['platform_member2_CdEnd'] = [0.6, 0.6] + prob['platform_member2_cap_d_in'] = [0.0, 0.0] + prob['platform_member2_cap_stations'] = [0.0, 1.0] + prob['platform_member2_cap_t'] = [0.02, 0.02] + prob['platform_member2_d'] = [1.0, 1.0] + prob['platform_member2_gamma'] = [0.0] + prob['platform_member2_heading'] = [] + prob['platform_member2_l_fill'] = [0.0] + prob['platform_member2_rA'] = [5.2, 0.0, -70.0] + prob['platform_member2_rB'] = [0.0, 0.0, -69.9994] + prob['platform_member2_rho_fill'] = [0.0] + prob['platform_member2_rho_shell'] = [7800.0] + prob['platform_member2_ring_h'] = [0.0] + prob['platform_member2_ring_spacing'] = [0.0] + prob['platform_member2_ring_t'] = [0.0] + prob['platform_member2_s_ghostA'] = [0.0] + prob['platform_member2_s_ghostB'] = [0.09615385217057337] + prob['platform_member2_stations'] = [0.0, 1.0] + prob['platform_member2_t'] = [0.1, 0.1] + prob['platform_member3_Ca'] = [1.0, 1.0] + prob['platform_member3_CaEnd'] = [0.6, 0.6] + prob['platform_member3_Cd'] = [0.8, 0.8] + prob['platform_member3_CdEnd'] = [0.6, 0.6] + prob['platform_member3_cap_d_in'] = [0.0, 0.0] + prob['platform_member3_cap_stations'] = [0.0, 1.0] + prob['platform_member3_cap_t'] = [0.02, 0.02] + prob['platform_member3_d'] = [1.0, 1.0] + prob['platform_member3_gamma'] = [0.0] + prob['platform_member3_heading'] = [] + prob['platform_member3_l_fill'] = [0.0] + prob['platform_member3_rA'] = [-2.5999999999999988, 4.503332099679082, -70.0] + prob['platform_member3_rB'] = [0.0, 0.0, -69.9994] + prob['platform_member3_rho_fill'] = [0.0] + prob['platform_member3_rho_shell'] = [7800.0] + prob['platform_member3_ring_h'] = [0.0] + prob['platform_member3_ring_spacing'] = [0.0] + prob['platform_member3_ring_t'] = [0.0] + prob['platform_member3_s_ghostA'] = [0.0] + prob['platform_member3_s_ghostB'] = [0.0961538521705736] + prob['platform_member3_stations'] = [0.0, 1.0] + prob['platform_member3_t'] = [0.1, 0.1] + prob['platform_member4_Ca'] = [1.0, 1.0] + prob['platform_member4_CaEnd'] = [0.6, 0.6] + prob['platform_member4_Cd'] = [0.8, 0.8] + prob['platform_member4_CdEnd'] = [0.6, 0.6] + prob['platform_member4_cap_d_in'] = [0.0, 0.0] + prob['platform_member4_cap_stations'] = [0.0, 1.0] + prob['platform_member4_cap_t'] = [0.02, 0.02] + prob['platform_member4_d'] = [1.0, 1.0] + prob['platform_member4_gamma'] = [0.0] + prob['platform_member4_heading'] = [] + prob['platform_member4_l_fill'] = [0.0] + prob['platform_member4_rA'] = [-2.6000000000000023, -4.5033320996790795, -70.0] + prob['platform_member4_rB'] = [0.0, 0.0, -69.9994] + prob['platform_member4_rho_fill'] = [0.0] + prob['platform_member4_rho_shell'] = [7800.0] + prob['platform_member4_ring_h'] = [0.0] + prob['platform_member4_ring_spacing'] = [0.0] + prob['platform_member4_ring_t'] = [0.0] + prob['platform_member4_s_ghostA'] = [0.0] + prob['platform_member4_s_ghostB'] = [0.09615385217057337] + prob['platform_member4_stations'] = [0.0, 1.0] + prob['platform_member4_t'] = [0.1, 0.1] + + + # ------------------------- + # mooring + # ------------------------- + prob['mooring_point1_name'] = 'line1_anchor' + prob['mooring_point2_name'] = 'line2_anchor' + prob['mooring_point3_name'] = 'line3_anchor' + prob['mooring_point4_name'] = 'line1_vessel' + prob['mooring_point5_name'] = 'line2_vessel' + prob['mooring_point6_name'] = 'line3_vessel' + prob['mooring_point1_type'] = 'fixed' + prob['mooring_point2_type'] = 'fixed' + prob['mooring_point3_type'] = 'fixed' + prob['mooring_point4_type'] = 'vessel' + prob['mooring_point5_type'] = 'vessel' + prob['mooring_point6_type'] = 'vessel' + prob['mooring_line1_endA'] = 'line1_anchor' + prob['mooring_line2_endA'] = 'line2_anchor' + prob['mooring_line3_endA'] = 'line3_anchor' + prob['mooring_line1_endB'] = 'line1_vessel' + prob['mooring_line2_endB'] = 'line2_vessel' + prob['mooring_line3_endB'] = 'line3_vessel' + prob['mooring_line1_type'] = 'main' + prob['mooring_line2_type'] = 'main' + prob['mooring_line3_type'] = 'main' + prob['mooring_line_type1_name'] = 'main' + prob['mooring_line1_length'] = [902.2] + prob['mooring_line2_length'] = [902.2] + prob['mooring_line3_length'] = [902.2] + prob['mooring_line_type1_breaking_load'] = [9911347.2] + prob['mooring_line_type1_cost'] = [416.6761499999999] + prob['mooring_line_type1_diameter'] = [0.09] + prob['mooring_line_type1_mass_density'] = [161.18999999999997] + prob['mooring_line_type1_stiffness'] = [691740000.0] + prob['mooring_line_type1_tangential_added_mass'] = [0.0] + prob['mooring_line_type1_tangential_drag'] = [0.1] + prob['mooring_line_type1_transverse_added_mass'] = [1.0] + prob['mooring_line_type1_transverse_drag'] = [1.6] + prob['mooring_point1_location'] = [853.87, 0.0, -320.0] + prob['mooring_point2_location'] = [-426.93499999999983, 739.4731115294188, -320.0] + prob['mooring_point3_location'] = [-426.9350000000004, -739.4731115294184, -320.0] + prob['mooring_point4_location'] = [5.2, 0.0, -70.0] + prob['mooring_point5_location'] = [-2.5999999999999988, 4.503332099679082, -70.0] + prob['mooring_point6_location'] = [-2.6000000000000023, -4.5033320996790795, -70.0] + prob['mooring_water_depth'] = [320.0] + + try: + prob.run_model() + self.assertTrue(True) + except Exception: + self.assertTrue(False) + + +def suite(): + suite = unittest.TestSuite() + suite.addTest(unittest.makeSuite(TestSpider)) + return suite + + +if __name__ == "__main__": + result = unittest.TextTestRunner().run(suite()) + + if result.wasSuccessful(): + exit(0) + else: + exit(1)