예제 #1
0
def simulate(sld_bodies, free_stream, vort_elems, nu, final_time, time_step):
    t = np.linspace(0, final_time, (final_time / time_step) + 1)
    position_t = []
    position_t.append(
        [cp.copy(vort_elems[j].pos) for j in range(len(vort_elems))])
    circulation_t = []
    circulation_t.append(
        [cp.copy(vort_elems[j].strg) for j in range(len(vort_elems))])

    vort_elems.append(VPM.vortex(0j, 0.0, 0.1))

    A = VPM.get_coefficient_mat(sld_bodies)
    b = VPM.get_rhs(sld_bodies, free_stream, vort_elems)
    gamma = cp.copy(VPM.solve_gamma(sld_bodies, A, b))

    new_blobs = VPM.slip_nullify(sld_bodies, vort_elems)

    rk2_step(sld_bodies, free_stream, vort_elems, time_step)

    len(vort_elems)
    pos, strg, delta = np.array([
        vort_elems[i].pos for i in range(len(vort_elems))
    ]), np.array([vort_elems[i].strg
                  for i in range(len(vort_elems))]), vort_elems[0].delta

    vort_elems.pop(-1)

    for i in range(len(t)):
        # print(i)

        [vort_elems.append(new_blobs[i]) for i in range(len(new_blobs))]

        diffusion_step(vort_elems, nu, time_step)

        VPM.depenetrator(sld_bodies, vort_elems)

        position_t.append(
            [cp.copy(vort_elems[j].pos) for j in range(len(vort_elems))])
        circulation_t.append(
            [cp.copy(vort_elems[j].strg) for j in range(len(vort_elems))])

        A = VPM.get_coefficient_mat(sld_bodies)
        b = VPM.get_rhs(sld_bodies, free_stream, vort_elems)
        gamma = VPM.solve_gamma(sld_bodies, A, b)

        new_blobs = VPM.slip_nullify(sld_bodies, vort_elems)

        rk2_step(sld_bodies, free_stream, vort_elems, time_step)

        len(vort_elems)
        pos, strg, delta = np.array([
            vort_elems[i].pos for i in range(len(vort_elems))
        ]), np.array([vort_elems[i].strg
                      for i in range(len(vort_elems))]), vort_elems[0].delta

    return position_t, circulation_t, t, vort_elems
예제 #2
0
def diffusion_step(vort_list, nu, dt):
    for j in range(len(vort_list)):
        if abs(vort_list[j].strg) > 0.01:
            n = int(abs(vort_list[j].strg) / 0.01)

            vort_list[j].strg = np.sign(vort_list[j].strg) * 0.01  # + zeta[0]
            temp = [
                vort_list.append(
                    VPM.vortex(vort_list[j].pos, vort_list[j].strg,
                               vort_list[j].delta)) for i in range(n - 1)
            ]

    zetax, zetay = nmdist([0, 0], [[2 * nu * dt, 0], [0, 2 * nu * dt]],
                          len(vort_list)).T
    zeta = zetax + 1j * zetay
    for i in range(len(vort_list)):
        vort_list[i].pos += zeta[i]