"""
pyAeroStruct_problem
"""
# ======================================================================
# Imports
# ======================================================================
from .pyAero_problem import AeroProblem
from .pyStruct_problem import StructProblem
from ..utils import Error, SolverHistory
[docs]class AeroStructProblem:
"""
The main purpose of this class is to represent all relevant
information for a coupled aero-structural analysis. To this end,
it maintains a reference to an AaeroProblem and a StructProblem.
Parameters
----------
ap : AeroProblem class instance
An instance of the AeroProblem class defining the aerodynamic
part of the problem.
sp : StructProblem class instance
An instance of the StructProblem class defining the structural
part of the problem
"""
def __init__(self, ap, sp, **kwargs):
if not isinstance(ap, AeroProblem):
raise Error("The argument for 'ap' was not an AeroProblem!")
if not isinstance(sp, StructProblem):
raise Error("The argument for 'sp' was not a StructProblem!")
self.AP = ap
self.SP = sp
# For consistency, we require that the name of the AP and SP
# are the same:
if self.AP.name != self.SP.name:
raise Error(
"The name of the AeroProblem and the StructProblem \
used to create this clsss *must* be the same"
)
self.name = self.AP.name
self.funcNames = {}
# Solver History
self.history = SolverHistory()
[docs] def setDesignVars(self, x):
"""
Set the variables in the x-dict for this object.
Parameters
----------
x : dict
Dictionary of variables which may or may not contain the
design variable names this object needs
"""
self.AP.setDesignVars(x)
self.SP.setDesignVars(x)
[docs] def addVariablesPyOpt(self, optProb):
"""
Add the current set of variables to the optProb object.
Parameters
----------
optProb : pyOpt_optimization class
Optimization problem definition to which variables are added
"""
self.AP.addVariablesPyOpt(optProb)
self.SP.addVariablesPyOpt(optProb)
def __getitem__(self, key):
return self.funcNames[key]
[docs] def evalFunctions(self, funcs, evalFuncs):
"""
Evaluate functions of the AP and SP.
"""
self.AP.evalFunctions(funcs, evalFuncs, ignoreMissing=True)
self.SP.evalFunctions(funcs, evalFuncs, ignoreMissing=True)
[docs] def evalFunctionsSens(self, funcsSens, evalFuncs):
"""
Evaluate the sensitivity of the desired functions
Parameters
----------
funcsSens : dict
Dictionary into which the function sensitivities are saved
evalFuncs : iterable object containing strings
The functions that the user wants evaluated
"""
self.AP.evalFunctionsSens(funcsSens, evalFuncs, ignoreMissing=True)
self.SP.evalFunctionsSens(funcsSens, evalFuncs, ignoreMissing=True)