Exemple #1
0
def test_induced_velocity():
    P1, P2 = np.array([1, 0]), np.array([0, 0])
    P3, P4 = np.array([0, 1]), np.array([1, 1])

    panel = Panel(P1, P2, P3, P4)
    CP = panel.control_point()

    calculated_induced_velocity = panel.induced_velocity(CP)
    expected_induced_velocity = -0.7684680

    assert_almost_equal(calculated_induced_velocity, expected_induced_velocity)
Exemple #2
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for i in range(0, n):
    for j in range(0, m):
        P1 = np.array([x[i + 1], y[j]])
        P2 = np.array([x[i], y[j]])
        P3 = np.array([x[i], y[j + 1]])
        P4 = np.array([x[i + 1], y[j + 1]])
        panel_pivot = Panel(P1, P2, P3, P4)
        s = panel_pivot.area()
        CP = panel_pivot.control_point()
        #        print(P1, P2, P3, P4)
        print('---- Induced vel. on panel %s...' % k)
        #        print('area = ', s, 'control point = ', CP)
        kk = 0
        for ii in range(0, n):
            for jj in range(0, m):
                PP1 = np.array([x[ii + 1], y[jj]])
                PP2 = np.array([x[ii], y[jj]])
                PP3 = np.array([x[ii], y[jj + 1]])
                PP4 = np.array([x[ii + 1], y[jj + 1]])
                panel = Panel(PP1, PP2, PP3, PP4)
                w = panel.induced_velocity(CP)
                print('	...by panel %s = %s' % (kk, w))
                A[k, kk] = w
                kk += 1
        k += 1

np.set_printoptions(precision=4)
print()
print('Matrix A =')
print(A)
Exemple #3
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P3 = np.array([0, 0])
P4 = np.array([0, b / 2])
P5 = np.array([c, b / 2])
P6 = np.array([c, 0])

# Calculations
panel1 = Panel(P1, P2, P3, P6)
panel2 = Panel(P6, P3, P4, P5)

S1 = panel1.area()
S2 = panel2.area()

CP1 = panel1.control_point()
CP2 = panel2.control_point()

w11 = panel1.induced_velocity(CP1)
w12 = panel1.induced_velocity(CP2)
w22 = panel2.induced_velocity(CP2)
w21 = panel2.induced_velocity(CP1)

print('control point1 =', CP1, '  area1 =', '%4.3F' % S1)
print('control point2 =', CP2, '  area2 =', '%4.3F' % S2)
print('w11_induced =', '%4.3F' % w11, '  w12_induced =', '%4.3F' % w12)
print('w21_induced =', '%4.3F' % w21, '  w22_induced =', '%4.3F' % w22)

# Linear equation solving AX = Y
A = np.array([[w11, w12], [w21, w22]])
v1 = -V * np.sin(alpha)
v2 = -V * np.sin(alpha)
Y = np.array([[v1], [v2]])
X = np.linalg.solve(A, Y)