biot_savart_vc_comp_o

Module Contents

Classes

BiotSavartComp

Compute AIC.

Functions

generate_simple_mesh(nx, ny[, n_wake_pts_chord])

class biot_savart_vc_comp_o.BiotSavartComp(**kwargs)

Bases: csdl.Model

Compute AIC.

Parameters

eval_pts[num_nodes,nx, ny, 3]numpy array

Array defining the nodal coordinates of the lifting surface.

vortex_coords[num_nodes,nx, ny, 3]numpy array

Array defining the nodal coordinates of the lifting surface.

Returns

AIC[nx-1, ny, 3]numpy array

Aerodynamic influence coeffients (can be interprete as induced velocities given circulations=1)

note: there should not be n_wake_pts_chord-th dimension in BiotSavartComp as for now

_induced_vel_line(eval_pts, p_1, p_2, vortex_coords_shape, circulation_name, eval_pt_name, vortex_coords_name, output_name, line_name)

define()

User defined method to define runtime behavior. Note: the user never _calls_ this method. Only the Simulator class constructor calls this method.

Example

```py class Example(Model):

def define(self):

self.create_input(‘x’) m = 5 b = 3 y = m*x + b self.register_output(‘y’, y)

# compile using Simulator imported from back end… sim = Simulator(Example()) sim[‘x’] = -3/5 sim.run() print(sim[‘y’]) # expect 0 ```

initialize()

User defined method to declare parameter values. Parameters are compile time constants (neither inputs nor outputs to the model) and cannot be updated at runtime. Parameters are intended to make a Model subclass definition generic, and therefore reusable. The example below shows how a Model subclass definition uses parameters and how the user can set parameters when constructing the example Model subclass.

Example

```py class Example(Model):

def initialize(self):

self.parameters.declare(‘num_times’, types=int) self.parameters.declare(‘step_size’, types=float) self.parameters.declare(‘surface’, types=dict)

def define(self):

num_times = self.parameters[‘num_times’] step_size = self.parameters[‘step_size’] surface = self.parameters[‘surface’] name = surface[‘name’] # str symmetry = surface[‘symmetry’] # bool mesh = surface[‘mesh’] # numpy array

# define runtime behavior…

surface = {

‘name’: ‘wing’, ‘symmetry’: False, ‘mesh’: mesh,

}

# compile using Simulator imported from back end… sim = Simulator(

Example(

num_times=100, step_size=0.1, surface=surface,

),

)

```

biot_savart_vc_comp_o.generate_simple_mesh(nx, ny, n_wake_pts_chord=None)