Source code for bladedesigner.camberlines.d2pcamberline
#!/usr/bin/env python
# -*- coding: utf-8 -*-
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# * Copyright (C) 2011-2012 by Andreas Kührmann [kuean@users.sf.net] *
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# * This program is free software; you can redistribute it and/or modify *
# * it under the terms of the GNU General Public License as published by *
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# * GNU General Public License for more details. *
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import numpy as np
import bladedesigner.baseclasses as bcls
import bladedesigner.foundation as fdn
__all__ = ['D2PCamberLine']
[docs]class D2PCamberLine(bcls.AnalyticalCamberLine):
"""
some documentation
"""
def __init__(self):
super(D2PCamberLine, self).__init__()
# properties (initialized by user)
self.__angle_of_inflow = fdn.Uninit('angle_of_inflow')
# add user properties to initialization summary
self._properties.append('angle_of_inflow')
@property
def angle_of_inflow(self):
r"""
Type: ``int or float`` - values between (exclusive) 0 and :math:`\pi`
only
"""
return self.__angle_of_inflow
@angle_of_inflow.setter
@fdn.restrict(new_angle_of_inflow=fdn.OpenInterval(0, np.pi))
[docs] def angle_of_inflow(self, new_angle_of_inflow):
if self.__angle_of_inflow != new_angle_of_inflow:
self.__angle_of_inflow = new_angle_of_inflow
self.update()
def __get_coefficients(self):
self._check_initialization('angle_of_inflow')
a = np.tan(self.angle_of_inflow - np.pi / 2.)
return a, -a
@fdn.memoize
[docs] def get_derivations(self):
"""
get_derivations()
Returns: ``ndarray``
Calculates camber line derivations and returns them in an array.
.. note:: **Note**
The return value will be cached. Recalling this method returns the
cached value, if the attribues are unchanged.
"""
self._check_initialization()
self._cached = True
x = self.distribution(self._sample_rate)
a_1, a_2 = self.__get_coefficients()
return x * (x * 2 * a_2) + a_1
@fdn.memoize
[docs] def as_array(self):
"""
as_array()
Returns: ``ndarray``
Calculates camber line coordinates and returns them in an array.
.. note:: **Note**
The return value will be cached. Recalling this method returns the
cached value, if the attribues are unchanged.
"""
self._check_initialization()
self._cached = True
x = self.distribution(self.sample_rate)
a_1, a_2 = self.__get_coefficients()
y = x * (x * a_2 + a_1)
return np.reshape(np.append(x, y), (-1, 2), "F")