diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index bfe8e85e25ce00e23a6de1e9b4566095427e6b85..0486f567014bf8b5e109f3e9cbc953312e468cf5 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -1,5 +1,5 @@
default:
- image: rboman/waves-py3:2020.3
+ image: rboman/waves-py3:2022.0
before_script:
# Instal pip
- wget -q https://bootstrap.pypa.io/get-pip.py
@@ -10,6 +10,8 @@ default:
- git checkout tags/v2.1.0
- INCLUDE=${INCLUDE}:${PWD}/include
- cd ..
+ # Install TACS
+ # ...
# Install SDPM
# TODO change branch, enable CoDiPack
- wget -q https://gitlab.uliege.be/am-dept/sdpm/-/archive/adri/sdpm-adri.tar.bz2
@@ -22,15 +24,16 @@ default:
- make install -j8
- cd ../..
# Install PyPK
- - wget -q https://gitlab.uliege.be/am-dept/pypk/-/archive/master/pypk-master.tar.bz2
- - tar xf pypk-master.tar.bz2
- - rm pypk-master.tar.bz2
- - mv pypk-master pypk
+ # TODO change branch
+ - wget -q https://gitlab.uliege.be/am-dept/pypk/-/archive/adri/pypk-adri.tar.bz2
+ - tar xf pypk-adri.tar.bz2
+ - rm pypk-adri.tar.bz2
+ - mv pypk-adri pypk
- cd pypk
- python3 -m pip install .
- cd ..
# Install OpenMDAO
- - python3 -m pip install openmdao
+ - python3 -m pip install 'openmdao<3.35'
.global_tag: &global_tag_def
tags:
diff --git a/README.md b/README.md
index 2b5218139537b8354c429d5a21e35ea7ac3bf630..838cd26a1d1dbec56a8c062f79eb2b7c6f33003f 100644
--- a/README.md
+++ b/README.md
@@ -2,4 +2,4 @@
OMFlut is a collection of tools to perform flutter analysis and flutter-constrained optimization calculations using [OpenMDAO](https://openmdao.org/). The package is written in Python and developed at the University of Liège.
## Documentation
-Detailed build and use instructions can be found in the [wiki](https://gitlab.uliege.be/am-dept/pypk/wikis/home).
+Detailed build and use instructions can be found in the [wiki](https://gitlab.uliege.be/am-dept/omflut/wikis/home).
diff --git a/examples/data/agard445.bdf b/examples/data/agard445.bdf
new file mode 100644
index 0000000000000000000000000000000000000000..e4bc84f812518d3fcdb6c172488358682f5ed927
--- /dev/null
+++ b/examples/data/agard445.bdf
@@ -0,0 +1,2093 @@
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diff --git a/examples/data/sdpm_nipk_agard/agard445.geo b/examples/data/agard445.geo
similarity index 100%
rename from examples/data/sdpm_nipk_agard/agard445.geo
rename to examples/data/agard445.geo
diff --git a/examples/data/agard445_modes.csv b/examples/data/agard445_modes.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d09f0c2978db5330d7a2a6e05ba6795b3a8beaa9
--- /dev/null
+++ b/examples/data/agard445_modes.csv
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diff --git a/examples/data/sdpm_nipk_agard/agard445_modes.csv b/examples/data/sdpm_nipk_agard/agard445_modes.csv
deleted file mode 100644
index 4d10eb1f9c4ed25fb921ccf4d85cbd26d81b6c48..0000000000000000000000000000000000000000
--- a/examples/data/sdpm_nipk_agard/agard445_modes.csv
+++ /dev/null
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-1.0965,0.6858,0,1.895,2.1515,1.845,3.1807,-6.7038,17.111,0.13667,15.598,-3.7393,3.9479,-8.4126,37.465
-1.1279,0.7239,0,2.0348,2.1298,1.8624,3.4606,-7.2209,17.582,0.61194,15.143,-3.3038,4.7956,-12.746,42.002
-1.1594,0.762,0,2.1745,2.1148,1.878,3.7377,-7.6058,18.023,1.0845,14.884,-3.0284,5.6315,-16.057,46.016
-0.54503,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-0.5762,0.0381,0,0.017874,0.88364,0.071514,0.066845,2.4613,1.1573,-0.20354,-8.7448,-2.1985,-0.1712,-6.362,-2.9115
-0.60738,0.0762,0,0.063035,1.2192,0.25487,0.18057,0.32362,2.6799,-0.61814,-6.6663,-5.4639,-0.47324,-1.4813,-6.7417
-0.63855,0.1143,0,0.12409,1.4179,0.43498,0.27145,-0.55991,3.3866,-1.0435,-5.2266,-7.1747,-0.72732,0.61638,-8.3727
-0.66973,0.1524,0,0.19716,1.5719,0.59588,0.35499,-1.3693,4.29,-1.4533,-3.1665,-8.7672,-0.95269,2.7099,-10.063
-0.70091,0.1905,0,0.28061,1.7048,0.74964,0.44078,-1.833,5.0888,-1.826,-1.1595,-9.7758,-1.1508,4.1254,-10.931
-0.73208,0.2286,0,0.37343,1.8191,0.89524,0.53808,-2.2015,6.0467,-2.1462,1.0694,-10.591,-1.3178,5.462,-11.456
-0.76326,0.2667,0,0.47479,1.922,1.0317,0.65379,-2.4355,7.0041,-2.3995,3.3047,-10.949,-1.4397,6.6091,-11.1
-0.79444,0.3048,0,0.5839,2.0089,1.1615,0.79287,-2.6447,8.0882,-2.5736,5.625,-11.093,-1.4952,7.7631,-10.039
-0.82561,0.3429,0,0.69998,2.0837,1.2803,0.95872,-2.8064,9.1716,-2.6595,7.8433,-10.838,-1.4592,8.7476,-7.8734
-0.85679,0.381,0,0.82216,2.1422,1.391,1.1527,-3.0029,10.333,-2.6512,9.9849,-10.401,-1.306,9.5807,-4.7861
-0.88796,0.4191,0,0.94958,2.1875,1.4889,1.3746,-3.215,11.456,-2.5476,11.874,-9.6545,-1.0148,9.9841,-0.5572
-0.91914,0.4572,0,1.0813,2.2164,1.5771,1.6219,-3.5102,12.593,-2.3516,13.525,-8.8169,-0.57261,9.8745,4.4886
-0.95032,0.4953,0,1.2164,2.232,1.6512,1.8909,-3.8671,13.636,-2.0711,14.79,-7.7994,0.02019,8.9475,10.352
-0.98149,0.5334,0,1.354,2.2327,1.7147,2.1758,-4.3328,14.626,-1.7177,15.705,-6.8184,0.7495,7.1446,16.542
-1.0127,0.5715,0,1.4931,2.2224,1.764,2.4702,-4.8718,15.472,-1.3068,16.178,-5.8031,1.5856,4.2836,22.902
-1.0438,0.6096,0,1.633,2.2018,1.8035,2.7671,-5.4981,16.221,-0.8553,16.299,-4.9526,2.4882,0.51452,28.893
-1.075,0.6477,0,1.7731,2.1764,1.8312,3.0607,-6.1447,16.813,-0.38105,16.059,-4.1844,3.4114,-4.0412,34.426
-1.1062,0.6858,0,1.9129,2.1493,1.8534,3.3474,-6.7723,17.344,0.10127,15.641,-3.6424,4.3207,-8.7836,39.362
-1.1374,0.7239,0,2.0525,2.1277,1.87,3.6278,-7.2892,17.803,0.58101,15.14,-3.2082,5.2014,-13.286,43.917
-1.1686,0.762,0,2.1918,2.1121,1.8845,3.9044,-7.6819,18.223,1.0573,14.884,-2.943,6.064,-16.634,47.824
-0.559,0,0,0,0,0,0,0,0,0,0,0,0,0,0
-0.58994,0.0381,0,0.018826,0.93464,0.067262,0.085355,3.3073,1.4862,-0.23797,-10.332,-2.7322,-0.21795,-8.4615,-3.7675
-0.62088,0.0762,0,0.066565,1.301,0.26399,0.21937,0.037975,3.0771,-0.69707,-6.5172,-6.2211,-0.57157,-0.71074,-7.8438
-0.65181,0.1143,0,0.13004,1.4439,0.46107,0.31797,-0.27112,3.5982,-1.1427,-5.5715,-7.7407,-0.84318,0.12583,-9.0273
-0.68275,0.1524,0,0.20503,1.6239,0.60926,0.41257,-1.3746,4.5592,-1.5712,-3.0677,-9.3445,-1.0886,3.0907,-10.828
-0.71369,0.1905,0,0.29035,1.7339,0.77271,0.50748,-1.6556,5.319,-1.9546,-1.1173,-10.312,-1.2946,4.2302,-11.523
-0.74463,0.2286,0,0.38477,1.8565,0.91082,0.6155,-2.0979,6.2982,-2.282,1.2808,-11.073,-1.4646,5.9304,-11.988
-0.77556,0.2667,0,0.48762,1.9488,1.0524,0.74172,-2.2741,7.2589,-2.5372,3.5581,-11.404,-1.5788,7.1227,-11.474
-0.8065,0.3048,0,0.59803,2.0371,1.1775,0.89208,-2.5035,8.3555,-2.7097,5.9558,-11.471,-1.6172,8.5024,-10.239
-0.83744,0.3429,0,0.71524,2.1054,1.2992,1.069,-2.6543,9.4485,-2.7897,8.2162,-11.17,-1.5522,9.6035,-7.8413
-0.86838,0.381,0,0.83838,2.1627,1.4064,1.2741,-2.8657,10.62,-2.773,10.381,-10.652,-1.3593,10.565,-4.4906
-0.89931,0.4191,0,0.96658,2.2027,1.5059,1.5064,-3.0914,11.747,-2.6583,12.28,-9.847,-1.0175,11.016,0.04249
-0.93025,0.4572,0,1.0989,2.2294,1.5912,1.7635,-3.4106,12.891,-2.45,13.91,-8.9354,-0.51707,10.89,5.3916
-0.96119,0.4953,0,1.2344,2.2406,1.6661,2.0409,-3.7964,13.929,-2.1562,15.147,-7.8575,0.13971,9.8573,11.571
-0.99213,0.5334,0,1.3723,2.2389,1.7271,2.3329,-4.2951,14.922,-1.79,16.006,-6.8212,0.93401,7.8652,18.026
-1.0231,0.5715,0,1.5115,2.225,1.7765,2.6326,-4.869,15.752,-1.3669,16.421,-5.7572,1.833,4.74,24.63
-1.054,0.6096,0,1.6514,2.2026,1.814,2.9333,-5.5296,16.497,-0.90507,16.47,-4.8777,2.7919,0.66336,30.779
-1.0849,0.6477,0,1.7913,2.1747,1.8413,3.2288,-6.2019,17.068,-0.42206,16.162,-4.0825,3.7631,-4.2103,36.434
-1.1159,0.6858,0,1.9309,2.1474,1.8623,3.5165,-6.8458,17.601,0.066656,15.688,-3.5336,4.7126,-9.1689,41.484
-1.1468,0.7239,0,2.0701,2.1248,1.8781,3.7971,-7.3618,18.041,0.55118,15.136,-3.1049,5.6261,-13.892,46.015
-1.1778,0.762,0,2.2091,2.1098,1.8921,4.0731,-7.7787,18.449,1.0308,14.879,-2.8424,6.5141,-17.352,49.907
diff --git a/examples/sdpm_nipk_agard.py b/examples/sdpm_nipk_agard.py
index 6f7664e89c423dabc13d3e88706b0e8fdb27fc5b..59e5894d28ffe090da473c935cdc5256b06c1c0f 100644
--- a/examples/sdpm_nipk_agard.py
+++ b/examples/sdpm_nipk_agard.py
@@ -25,7 +25,7 @@ import numpy as np
def get_path(fname):
import os.path
- return os.path.join(os.path.abspath(os.path.dirname(__file__)), 'data', os.path.basename(__file__)[:-3], fname)
+ return os.path.join(os.path.abspath(os.path.dirname(__file__)), 'data', fname)
def get_exp():
mach = [0.499, 0.678, 0.901, 0.960] # experimental Mach number
@@ -38,7 +38,7 @@ def get_cfg(irun):
import os.path
# Shared parameters
c_ref = 0.559 # root chord
- k_ref = [0.01, 0.1, 0.2, 0.3]#, 0.5, 0.7, 1.0] # reference reduced frequencies
+ k_ref = [0.01, 0.1, 0.2, 0.3] # reference reduced frequencies
n_mod = 4 # number of mode
# Experimental Mach number, density and mass ratio
_, mach, rho, mu = get_exp()
@@ -51,6 +51,8 @@ def get_cfg(irun):
# SDPM config
wnc = 20
a_cfg = {
+ # Verbosity
+ 'Verb_lvl': 0,
# Model (geometry or mesh)
'File': get_path('agard445.geo'), # input Gmsh file
'Pars': {'nC': wnc, 'nS': 10, 'pC': 1.1, 'pS': 1.0}, # parameters for Gmsh file (optional)
@@ -81,6 +83,7 @@ def get_cfg(irun):
}
# NIPK
f_cfg = {
+ 'name': 'agard', # case name
'k_ref': np.array(k_ref), # reference reduced frequencies
'l_ref': 0.5 * c_ref, # reference length (half root chord)
'mach': mach[irun], # freesteam Mach number
@@ -103,7 +106,6 @@ class Agard(om.Group):
self.options.declare('n', default=1, desc='number of runs')
def setup(self):
- self.add_subsystem('dvs', om.IndepVarComp(), promotes=['*'])
for i in range(self.options['n']):
# Builders
s_cfg, a_cfg, x_cfg, f_cfg = get_cfg(i)
@@ -114,15 +116,6 @@ class Agard(om.Group):
# Flutter component
self.add_subsystem(f'flutter_{i}', FlutterGroup(struct=agrd, xfer=rbfi, aero=sdpm, flutter=pypk))
- def configure(self):
- # DV
- self.dvs.add_output('dummy', val=1, desc='dummy')
- #self.add_design_var('dummy', lower=0.0, upper=1.0, scaler=1)
- # CON
- #self.add_constraint('flutter.ks_g', upper=-0.001, scaler=1e2)
- # OBJ
- #self.add_objective('flutter.m', scaler=1e-2)
-
def print_time(selapsed):
days, rem = divmod(selapsed, 24*60*60)
hours, rem = divmod(rem, 60*60)
diff --git a/examples/tacs_sdpm_nipk_agard.py b/examples/tacs_sdpm_nipk_agard.py
new file mode 100644
index 0000000000000000000000000000000000000000..72f18ac6316351d8bbd60193a8532c1f4ba008f7
--- /dev/null
+++ b/examples/tacs_sdpm_nipk_agard.py
@@ -0,0 +1,261 @@
+#!/usr/bin/env python3
+# -*- coding: utf8 -*-
+
+# Copyright 2024 University of Liège
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from omflut import FlutterGroup
+from omflut.tacs_structure import TacsBuilder
+from omflut import RbfXferBuilder
+from sdpm.api.om import SdpmBuilder
+from pypk.api_om import PypkBuilder
+import openmdao.api as om
+import numpy as np
+
+def get_path(fname):
+ import os.path
+ return os.path.join(os.path.abspath(os.path.dirname(__file__)), 'data', fname)
+
+def get_exp():
+ mach = [0.499, 0.678, 0.901, 0.960] # experimental Mach number
+ rho = [0.4278, 0.2082, 0.0995, 0.0634] # experimental density
+ mu = [33.465, 68.753, 143.920, 225.820] # experimental mass ratio m/(rho*V)
+ mach = [0.960] # experimental Mach number
+ rho = [0.0634] # experimental density
+ mu = [225.820] # experimental mass ratio m/(rho*V)
+ n = len(mach)
+ return n, mach, rho, mu
+
+def get_cfg(irun):
+ # Shared parameters
+ c_ref = 0.559 # root chord
+ k_ref = [0.01, 0.1, 0.2, 0.3] # reference reduced frequencies
+ n_mod = 4 # number of modes
+ # Experimental Mach number, density and mass ratio
+ _, mach, rho, mu = get_exp()
+ # Structural config
+ s_cfg = tacs_cfg(n_mod)
+ # SDPM config
+ a_cfg = sdpm_cfg(c_ref, n_mod, mach[irun], k_ref)
+ # RBF
+ x_cfg = rbfi_cfg(n_mod)
+ # NIPK
+ f_cfg = pypk_cfg(c_ref, n_mod, mach[irun], rho[irun], mu[irun], k_ref)
+
+ return s_cfg, a_cfg, x_cfg, f_cfg
+
+def tacs_cfg(n_mod):
+ from tacs import constitutive, elements
+ # Material properties
+ rho = 381.9 # density, kg/m^3
+ e1 = 3.245e9 # Youngs' modulus in direction '1', Pa
+ e2 = 4.162e8 # Youngs' modulus in direction '2', Pa
+ nu12 = 0.31 # Poisson's ratio in plane '1-2'
+ g12 = 4.392e8 # shear modulus in plane '1-2', Pa
+ min_thickness = 0.0001
+ max_thickness = 0.05
+
+ # Element definition
+ def element_callback(dvNum, compID, compDescript, elemDescripts, specialDVs, **kwargs):
+ # Get the thickness of current element
+ thickness = float(compDescript.split('/')[1].split('=')[1])
+ # Set up orthotropic material and shell constitutive properties with 1 DV per element
+ prop = constitutive.MaterialProperties(rho=rho, E1=e1, E2=e2, nu12=nu12, G12=g12)
+ con = constitutive.IsoShellConstitutive(prop, t=thickness, tNum=dvNum, tlb=min_thickness, tub=max_thickness)
+ # Add the element
+ transform = elements.ShellRefAxisTransform(np.array([np.sqrt(2), np.sqrt(2), 0.0]))
+ return elements.Quad4Shell(transform, con)
+
+ # Various pyTACS options
+ options = {
+ 'printtiming': True
+ }
+
+ return {
+ 'mesh_file': get_path('agard445.bdf'),
+ 'element_callback': element_callback,
+ 'num_modes': n_mod,
+ 'sigma': 1.,
+ 'pytacs_options': options,
+ 'write_solution': False
+ }
+
+def sdpm_cfg(c_ref, n_mod, mach, k_ref):
+ wnc = 20
+ return {
+ # Verbosity
+ 'Verb_lvl': 0,
+ # Model (geometry or mesh)
+ 'File': get_path('agard445.geo'), # input Gmsh file
+ 'Pars': {'nC': wnc, 'nS': 10, 'pC': 1.1, 'pS': 1.0}, # parameters for Gmsh file (optional)
+ # Markers
+ 'Wing': 'wing', # name of the marker defining the lifting body (wing)
+ 'Te': 'te', # name of the marker defining the trailing edge of the lifting body
+ # Freestream
+ 'Mach': mach, # Mach number (optional)
+ 'AoA': 0.0, # angle of attack (optional)
+ 'AoS': 0.0, # angle of side slip (optional)
+ # Unsteady motion
+ 'Num_wake_div': wnc, # number of cells per chord length in the wake
+ 'Frequencies': k_ref, # list of reduced frequencies
+ 'Num_modes': n_mod, # number of modes
+ # Geometry
+ 'Symmetry': True, # whether only half (symmetric) model is provided
+ 's_ref': 0.353, # reference surface area
+ 'c_ref': c_ref, # reference chord length
+ 'x_ref': 0.0, # reference point for moment computation (x)
+ 'y_ref': 0.0, # reference point for moment computation (y)
+ 'z_ref': 0.0 # reference point for moment computation (z)
+ }
+
+def rbfi_cfg(n_mod):
+ return {
+ 'n_dim': 2, # number of coordinates to use for interpolation
+ 'n_modes': n_mod, # number of modes
+ 'smooth': 1 # smoothing
+ }
+
+def pypk_cfg(c_ref, n_mod, mach, rho, mu, k_ref):
+ return {
+ 'name': 'agard', # case name
+ 'k_ref': np.array(k_ref), # reference reduced frequencies
+ 'l_ref': 0.5 * c_ref, # reference length (half root chord)
+ 'mach': mach, # freesteam Mach number
+ 'rho_inf': rho, # freesteam density
+ 'u_idx': np.linspace(0.2, 0.5, 31, endpoint=True), # velocity index range
+ 'mu': mu, # mass ratio
+ 'f_ref': 40.3511, # frequency of first torsional mode
+ 'n_modes': n_mod, # number of modes
+ 'rho_ks': 1e6, # KS aggregation parameter for KS
+ 'method': 'nipk', # method type
+ 'fluid': 'unmatched', # fluid type
+ 'vrb': 1 # verbosity level
+ }
+
+def mass_builder(mesh_file, element_callback):
+ """Create TACS static problem to compute mass
+ """
+ from tacs.pytacs import pyTACS
+ from tacs import functions
+ from mpi4py import MPI
+ fea_assembler = pyTACS(mesh_file, comm=MPI.COMM_WORLD)
+ fea_assembler.initialize(element_callback)
+ pbl = fea_assembler.createStaticProblem('static')
+ pbl.addFunction('mass', functions.StructuralMass)
+ return pbl
+
+class AgardMass(om.ExplicitComponent):
+ """Wrap TACS static problem to compute wing mass
+ """
+ def initialize(self):
+ self.options.declare('pbl', desc='static problem', recordable=False)
+
+ def setup(self):
+ self.pbl = self.options['pbl']
+ self.add_input('dv_struct', shape_by_conn=True, desc='structural design variables')
+ self.add_output('m', val=0., desc='structural mass')
+ self.declare_partials(of=['m'], wrt=['dv_struct'], method='exact')
+
+ def compute(self, inputs, outputs):
+ self.pbl.setDesignVars(inputs['dv_struct'])
+ func = {}
+ self.pbl.evalFunctions(func, ['mass'])
+ outputs['m'] = func['static_mass']
+ self.pbl.writeSolution()
+
+ def compute_partials(self, inputs, partials):
+ func_sens = {}
+ self.pbl.evalFunctionsSens(func_sens, ['mass'])
+ partials['m', 'dv_struct'] = func_sens['static_mass']['struct']
+
+class Agard(om.Group):
+ """Aerostructural flutter model of the AGARD 445.6 wing
+ """
+ def initialize(self):
+ self.options.declare('n', default=1, desc='number of runs')
+
+ def setup(self):
+ self.n_run = self.options['n']
+ self.add_subsystem('dvs', om.IndepVarComp(), promotes=['*'])
+ for i in range(self.n_run):
+ # Builders
+ s_cfg, a_cfg, x_cfg, f_cfg = get_cfg(i)
+ tacs = TacsBuilder(**s_cfg)
+ sdpm = SdpmBuilder(a_cfg)
+ rbfi = RbfXferBuilder(tacs, sdpm, x_cfg)
+ pypk = PypkBuilder(f_cfg)
+ # Flutter component
+ self.add_subsystem(f'flutter_{i}', FlutterGroup(struct=tacs, xfer=rbfi, aero=sdpm, flutter=pypk))
+ # Mass component
+ pbl = mass_builder(s_cfg['mesh_file'], s_cfg['element_callback'])
+ self.init_dvs = pbl.getDesignVars()
+ self.add_subsystem('mass', AgardMass(pbl=pbl), promotes=['dv_struct'])
+
+ def configure(self):
+ # DV
+ self.dvs.add_output('dv_struct', val=self.init_dvs, desc='structural DV')
+ self.add_design_var('dv_struct', lower=0.0001, upper=0.05, scaler=1e3)
+ for i in range(self.n_run):
+ self.connect('dv_struct', f'flutter_{i}.struct.dv_struct')
+ # CON
+ for i in range(self.n_run):
+ self.add_constraint(f'flutter_{i}.g_agg', upper=-0.001, scaler=1e3)
+ # OBJ
+ self.add_objective('mass.m', scaler=1)
+
+def print_time(selapsed):
+ days, rem = divmod(selapsed, 24*60*60)
+ hours, rem = divmod(rem, 60*60)
+ minutes, seconds = divmod(rem, 60)
+ print('Wall-clock time: {:0>2}-{:0>2}:{:0>2}:{:0>2}'.format(int(days),int(hours),int(minutes),int(seconds)))
+
+if __name__ == "__main__":
+ import time
+ # Set up the problem
+ n_runs, mach, _, _ = get_exp()
+ prob = om.Problem(model=Agard(n=n_runs), driver=om.ScipyOptimizeDriver(optimizer='SLSQP', tol=1e-4, disp=True, maxiter=20))
+ rec_inc = []
+ for i in range(n_runs):
+ rec_inc.extend([f'flutter_{i}.f', f'flutter_{i}.g', f'flutter_{i}.g_agg', f'flutter_{i}.flutter.f_speed', 'mass.m'])
+ prob.model.recording_options['includes'] = rec_inc
+ prob.model.add_recorder(om.SqliteRecorder('cases.sql'))
+ prob.setup()
+ om.n2(prob, show_browser=False, outfile='n2.html')
+
+ # Run
+ tic = time.perf_counter()
+ #prob.run_model()
+ #prob.check_partials(excludes=['*mass', '*aero', '*struct', '*xfer'], compact_print=False, form='central')
+ #prob.check_totals(of=['flutter_0.g_agg'], wrt=['dv_struct'], compact_print=False, form='central', show_progress=True, driver_scaling=False)
+ prob.run_driver()
+ toc = time.perf_counter()
+ print_time(toc-tic)
+
+ # Print the history
+ cases = om.CaseReader('cases.sql').get_cases()
+ hdr = '{:>10s}'.format('it')
+ for irun in range(n_runs):
+ hdr += ', {:>10s}, {:>10s}, {:>10s}'.format(f'g_agg_{irun}', f'u_f_{irun}', 'm')
+ print(hdr)
+ uf = np.zeros(n_runs)
+ for i, case in enumerate(cases):
+ val = '{:10d}'.format(i)
+ for irun in range(n_runs):
+ g_agg = case.get_val(f'flutter_{irun}.g_agg')[0]
+ uf[irun] = case.get_val(f'flutter_{irun}.flutter.f_speed')[0]
+ m = case.get_val('mass.m')[0]
+ val += ', {:10.4f}, {:10.4f}, {:10.4f}'.format(g_agg, uf[irun], m)
+ print(val)
+ # Save results
+ np.savetxt('mach_uf.dat', np.column_stack((mach, uf)), delimiter=', ', fmt='%15.2f', header='{:>13s}, {:>15s}'.format('Mach number', 'Flutter speed'))
diff --git a/omflut/__init__.py b/omflut/__init__.py
index 219c8972a49a5015d7be014a7430da39220f85f4..5cfe94d51d8050bad4d0ddd40956b472b9b4ae34 100644
--- a/omflut/__init__.py
+++ b/omflut/__init__.py
@@ -15,7 +15,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
-__version__ = '1.0.0'
+__version__ = '1.1.0'
from .builder import Builder
from .coupling import FlutterGroup
diff --git a/omflut/builder.py b/omflut/builder.py
index 367fcd14750f2b81d663666309b87d1ac590218e..76229db79dd4953bd81646a835ae34098305ea60 100644
--- a/omflut/builder.py
+++ b/omflut/builder.py
@@ -27,7 +27,7 @@ class Builder():
"""
raise NotImplementedError()
- def get_solver(self):
+ def get_solver(self, scenario_name=''):
"""Return OpenMDAO component containing the solver
"""
raise NotImplementedError()
diff --git a/omflut/coupling.py b/omflut/coupling.py
index 816c5da00bb8173b0a6fea5e9fa8087ec970132f..b20da766bc4ac6e3a40b80a0339b23d5bb91ef91 100644
--- a/omflut/coupling.py
+++ b/omflut/coupling.py
@@ -24,11 +24,19 @@ class FlutterGroup(om.Group):
self.options.declare('xfer', desc='interpolator', recordable=False)
self.options.declare('aero', desc='aerodynamic solver', recordable=False)
self.options.declare('flutter', desc='flutter solver', recordable=False)
+ self.options.declare('geo', desc='optional geometry parametrization', default=None, recordable=False)
def setup(self):
- self.add_subsystem('mesh_struct', self.options['struct'].get_mesh(), promotes=['x_struct0'])
- self.add_subsystem('mesh_aero', self.options['aero'].get_mesh(), promotes=['x_aero0'])
- self.add_subsystem('struct', self.options['struct'].get_solver(), promotes=['x_struct0', 'q_struct', 'M', 'K'])
- self.add_subsystem('xfer', self.options['xfer'].get_solver(), promotes=['x_struct0', 'q_struct', 'x_aero0', 'q_aero'])
- self.add_subsystem('aero', self.options['aero'].get_solver(), promotes=['x_aero0', 'q_aero', 'Q_re', 'Q_im'])
- self.add_subsystem('flutter', self.options['flutter'].get_solver(), promotes=['M', 'K', 'Q_re', 'Q_im', 'f', 'g', 'g_agg'])
+ if self.options['geo'] is None:
+ self.add_subsystem('mesh_struct', self.options['struct'].get_mesh(), promotes=['x_struct0'])
+ self.add_subsystem('mesh_aero', self.options['aero'].get_mesh(), promotes=['x_aero0'])
+ else:
+ self.add_subsystem('mesh_struct', self.options['struct'].get_mesh())
+ self.add_subsystem('mesh_aero', self.options['aero'].get_mesh())
+ self.add_subsystem('geometry', self.options['geo'].get_mesh(), promotes=['x_struct0', 'x_aero0'])
+ self.connect('mesh_struct.x_struct0', 'geometry.x_struct_in')
+ self.connect('mesh_aero.x_aero0', 'geometry.x_aero_in')
+ self.add_subsystem('struct', self.options['struct'].get_solver(self.name), promotes=['x_struct0', 'q_struct', 'M', 'K'])
+ self.add_subsystem('xfer', self.options['xfer'].get_solver(self.name), promotes=['x_struct0', 'q_struct', 'x_aero0', 'q_aero'])
+ self.add_subsystem('aero', self.options['aero'].get_solver(self.name), promotes=['x_aero0', 'q_aero', 'Q_re', 'Q_im'])
+ self.add_subsystem('flutter', self.options['flutter'].get_solver(self.name), promotes=['M', 'K', 'Q_re', 'Q_im', 'f', 'g', 'g_agg'])
diff --git a/omflut/fake_structure.py b/omflut/fake_structure.py
index eb3f41f03b8bda0a6a72a245a529797b0c0720d9..46ac8c0a7371b13c17f0afa5db7175a79a0d6e9b 100644
--- a/omflut/fake_structure.py
+++ b/omflut/fake_structure.py
@@ -69,7 +69,7 @@ class FakeStructBuilder(Builder):
"""
return FakeStructMesh(xs=self.__x_struct)
- def get_solver(self):
+ def get_solver(self, scenario_name=''):
"""Return OpenMDAO component containing the solver
"""
return FakeStructSolver(xs=self.__x_struct, qm=self.__q_modes, m=self.__m_mat, k=self.__k_mat)
diff --git a/omflut/rbf_xfer.py b/omflut/rbf_xfer.py
index 3049374e632ee372185578c67aff29dc539c5baf..6e364b47c41d83a5d44705e0992e2a3bb277a018 100644
--- a/omflut/rbf_xfer.py
+++ b/omflut/rbf_xfer.py
@@ -43,7 +43,7 @@ class RbfXferBuilder(Builder):
n_a = aero_builder.get_number_of_nodes() # number of aerodynamic nodes
self.xfer = RbfInterp(cfg, n_s, n_a)
- def get_solver(self):
+ def get_solver(self, scenario_name=''):
"""Return OpenMDAO component containing the solver
"""
return RbfXferSolver(sol=self.xfer)
diff --git a/omflut/tacs_structure.py b/omflut/tacs_structure.py
new file mode 100644
index 0000000000000000000000000000000000000000..ddcb26bcd6fc768d7d82202ff8723187167d75d6
--- /dev/null
+++ b/omflut/tacs_structure.py
@@ -0,0 +1,202 @@
+from omflut import Builder
+import openmdao.api as om
+import numpy as np
+
+class TacsMesh(om.IndepVarComp):
+ """Initial structural mesh
+ """
+ def initialize(self):
+ self.options.declare('fea_assembler', desc='pyTACS interface', recordable=False)
+ self.options.declare('x_mask', desc='array to recover true degrees of freedom (node coordinates)')
+
+ def setup(self):
+ asb = self.options['fea_assembler']
+ mask = self.options['x_mask']
+ # Store all the node coordinates and add as output
+ self.add_output('x_struct0', val=asb.getOrigNodes()[mask], desc='initial structural node coordinates')
+
+class TacsSolver(om.ExplicitComponent):
+ """OpenMDAO structural wrapper
+
+ Attributes
+ ----------
+ n_modes : int
+ number of eigenvalue frequencies / eigenvector modes
+ abs : tacs.pyTACS object
+ pyTACS interface
+ pbl : tacs.problem.modal object
+ Modal problem definition
+ x_mask : np.array
+ Array to recover true degrees of freedom (node coordinates)
+ q_mask : np.array
+ Array to recover true degrees of freedom (mode shapes)
+ """
+ def initialize(self):
+ self.options.declare('fea_assembler', desc='pyTACS interface', recordable=False)
+ self.options.declare('fea_problem', desc='modal problem', recordable=False)
+ self.options.declare('write_solution', desc='flag to write solution')
+ self.options.declare('x_mask', desc='array to recover true degrees of freedom (node coordinates)')
+ self.options.declare('q_mask', desc='array to recover true degrees of freedom (mode shapes)')
+ self.options.declare('n_nodes', desc='number of retained nodes')
+ self.options.declare('retained_modes', desc='list of retained modes')
+
+ def setup(self):
+ self.asb = self.options['fea_assembler']
+ self.pbl = self.options['fea_problem']
+ self.x_mask = self.options['x_mask']
+ self.q_mask = self.options['q_mask']
+ self.retained_modes = self.options['retained_modes']
+ self.n_modes = len(self.retained_modes)
+ self.add_input('dv_struct', shape_by_conn=True, desc='structural design variables')
+ self.add_input('x_struct0', shape_by_conn=True, desc='structural coordinates')
+ self.add_output('q_struct', val=np.zeros((3 * self.options['n_nodes'], self.n_modes)), desc='modal displacements')
+ self.add_output('M', val=np.identity(self.n_modes), desc='mass matrix')
+ self.add_output('K', val=np.zeros((self.n_modes, self.n_modes)), desc='stiffness matrix')
+ # Partials
+ # self.declare_partials(of=['q_struct', 'M', 'K'], wrt=['x_struct0'], method='exact')
+ self.declare_partials(of=['K'], wrt=['dv_struct'], method='exact')
+
+ def compute(self, inputs, outputs):
+ # Update nodes and design variables
+ x_s = self.asb.getOrigNodes()
+ x_s[self.x_mask] = inputs['x_struct0']
+ self.pbl.setNodes(x_s)
+ self.pbl.setDesignVars(inputs['dv_struct'])
+ # Perform modal analysis
+ self.pbl.solve()
+ if self.options['write_solution']:
+ self.pbl.writeSolution()
+ # Mask and set modes
+ for i in range(self.n_modes):
+ _, q_s = self.pbl.getVariables(self.retained_modes[i])
+ outputs['q_struct'][:, i] = self._extract_data(q_s[self.q_mask])
+ # Get eigenvalues and set modal stiffness matrix
+ funcs = {}
+ self.pbl.evalFunctions(funcs)
+ outputs['K'] = np.diag(list(funcs.values()))[np.ix_(self.retained_modes, self.retained_modes)]
+
+ def compute_partials(self, inputs, partials):
+ # Approximate derivative of stiffness matrix diagonal entries by derivative of eigenvalues
+ func_sens = {}
+ self.pbl.evalFunctionsSens(func_sens, evalVars='dv')
+ for i in range(self.n_modes):
+ d_lambda = func_sens[f'{self.pbl.name}_eigsm.{self.retained_modes[i]}']
+ partials['K', 'dv_struct'][np.ravel_multi_index(([i], [i]), (self.n_modes, self.n_modes)), :] = d_lambda['struct']
+
+ def _extract_data(self, q):
+ """Extract modal displacements along z and rotations about x and y
+ """
+ # Constants
+ vars_node = 6 # number of variables per node
+ v_idx = [2, 3, 4] # indices of dz, rx and ry
+ n_var = len(v_idx) # number of variables to extract
+ n_nod = len(q) // vars_node # number of nodes
+ # Extract
+ q_red = np.zeros(n_nod * n_var)
+ for i in range(n_nod):
+ for j in range(n_var):
+ q_red[i * n_var + j] = q[i * vars_node + v_idx[j]]
+ return q_red
+
+class TacsBuilder(Builder):
+ """TACS builder for OpenMDAO
+
+ Attributes
+ ----------
+ fea_assembler : tacs.pyTACS object
+ pyTACS interface
+ fea_problem : tacs.problem.modal object
+ Modal problem definition
+ mask : np.array
+ Array to recover true degrees of freedom
+ write_solution : bool
+ Flag indicating whether to write solution
+ """
+ def __init__(self, mesh_file, num_modes, sigma=1., element_callback=None, exclude_modes=None, components_tag=None, pytacs_options=None, write_solution=True):
+ """Instantiate and initialize TACS components
+
+ Parameters
+ ----------
+ mesh_file : str or pyNastran.bdf.bdf.BDF
+ The BDF file or a pyNastran BDF object to load
+ num_modes : int
+ Number of modes
+ sigma : float
+ Guess for the lowest eigenvalue (default: 1.0)
+ element_callback : collections.abc.Callable, optional
+ User-defined callback function for setting up TACS elements and element DVs (default: None)
+ exclude_modes : list[int]
+ List of indices of modes to exclude from analysis (default: None)
+ components_tag : list[str]
+ List of tag names for which nodes will be included (default: None)
+ pytacs_options : dict, optional
+ Options dictionary passed to pyTACS assembler (default: None)
+ write_solution : bool, optional
+ Flag to determine whether to write out TACS solutions to f5 file each design iteration (default: True)
+ """
+ from tacs.pytacs import pyTACS
+ from mpi4py import MPI
+ # Initialize assembler
+ self.fea_assembler = pyTACS(mesh_file, options=pytacs_options, comm=MPI.COMM_WORLD)
+ self.fea_assembler.initialize(element_callback)
+ # Set up the problem
+ self.fea_problem = self.fea_assembler.createModalProblem('modal', sigma, num_modes)
+ self.retained_modes = list(range(num_modes))
+ if exclude_modes is not None: self.retained_modes = list(np.delete(self.retained_modes, exclude_modes))
+ # Select nodes from components
+ nodes_id = self._select_nodes(components_tag)
+ self.n_nodes = len(nodes_id)
+ # Create masks
+ self.x_mask = self._create_mask(nodes_id, 3)
+ self.q_mask = self._create_mask(nodes_id, 6)
+ # Save other parameters
+ self.write_solution = write_solution
+
+ def get_mesh(self):
+ """Return OpenMDAO component to get the initial mesh coordinates
+ """
+ return TacsMesh(fea_assembler=self.fea_assembler, x_mask=self.x_mask)
+
+ def get_solver(self, scenario_name=''):
+ """Return OpenMDAO component containing the solver
+ """
+ return TacsSolver(fea_assembler=self.fea_assembler, fea_problem=self.fea_problem, write_solution=self.write_solution, x_mask=self.x_mask, q_mask=self.q_mask, n_nodes=self.n_nodes, retained_modes=self.retained_modes)
+
+ def get_number_of_nodes(self):
+ """Return the number of (true) nodes
+ """
+ return self.n_nodes
+
+ def get_number_of_dv(self):
+ """Return the number of degrees of freedom
+ """
+ return self.fea_assembler.getTotalNumDesignVars()
+
+ def _select_nodes(self, components):
+ """Select nodes from given components
+
+ Parameters
+ ----------
+ components : list[str]
+ List of tag names for which nodes will be included
+ """
+ if components is None:
+ nodes_id = np.arange(self.fea_assembler.getNumOwnedNodes())
+ else:
+ nodes_id = self.fea_assembler.getLocalNodeIDsForComps(self.fea_assembler.selectCompIDs(components))
+ mults_id = self.fea_assembler.getLocalMultiplierNodeIDs()
+ return list(set(nodes_id) - set(mults_id))
+
+ def _create_mask(self, nodes_id, vars_node):
+ """Create a mask to recover array indices associated to retained true degrees of freedom
+
+ Parameters
+ ----------
+ nodes_id : list[int]
+ index of retained nodes
+ vars_node : int
+ Number of variables per node
+ """
+ mask = np.full((self.fea_assembler.getNumOwnedNodes(), vars_node), False)
+ mask[nodes_id, :] = True
+ return mask.flatten()