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Julia CFD|13 方腔顶盖流

本文利用Julia计算方腔顶盖流动。

密闭空腔中的流体流动满足下面的控制方程:

1 离散方程

离散U动量方程:

离散v动量方程:

离散压力泊松方程:

改写为迭代式的形式。

2 初始值与边界值

初始条件下,计算区域内

对于边界条件:

y=2边界,

y=0边界,

y=2边界,

x=0及x=2边界,

3 代码

using PyPlot
matplotlib.use("TkAgg")
nx = 41;
ny = 41;
nt = 500;
nit = 50;
c = 1;
dx = 2 / (nx - 1);
dy = 2 / (ny - 1);
x = range(0, 2, length = nx);
y = range(0, 2, length = ny);

rho = 1;
nu = 0.1;
dt = 0.001;

u = zeros((ny, nx));
v = zeros((ny, nx));
p = zeros((ny, nx));
b = zeros((ny, nx));

定义源项b。

function buildUpB(b, rho, dt, u, v, dx, dy)
b[2:end-1, 2:end-1] =
rho * (
1 / dt * (
(u[2:end-1, 3:end] - u[2:end-1, 1:end-2]) / (2 * dx) +
(v[3:end, 2:end-1] - v[1:end-2, 2:end-1]) / (2 * dy)
) - ((u[2:end-1, 3:end] - u[2:end-1, 1:end-2]) / (2 * dx))^2 -
2 * (
(u[3:end, 2:end-1] - u[1:end-2, 2:end-1]) / (2 * dy) *
(v[2:end-1, 3:end] - v[2:end-1, 1:end-2]) / (2 * dx)
) - ((v[3:end, 2:end-1] - v[1:end-2, 2:end-1]) / (2 * dy))^2
)
return b
end

定义压力泊松方程。

function presPoisson(p, dx, dy, b)
pn = zeros(size(p))
pn = copy(p)

for q = 1:nit
pn = copy(p)
p[2:end-1, 2:end-1] =
(
(pn[2:end-1, 3:end] + pn[2:end-1, 1:end-2]) * dy^2 +
(pn[3:end, 2:end-1] + pn[1:end-2, 2:end-1]) * dx^2
) / (2 * (dx^2 + dy^2)) -
dx^2 * dy^2 / (2 * (dx^2 + dy^2)) * b[2:end-1, 2:end-1]

p[:, end] = p[:, end-1] ##dp/dy = 0 at x = 2
p[1, :] = p[2, :] ##dp/dy = 0 at y = 0
p[:, 1] = p[:, 2] ##dp/dx = 0 at x = 0
p[end, :] .= 0 ##p = 0 at y = 2
end
return p
end

计算方腔流动。

function cavityFlow(nt, u, v, dt, dx, dy, p, rho, nu)
b = zeros((ny, nx))

for n = 1:nt
un = copy(u)
vn = copy(v)

b = buildUpB(b, rho, dt, u, v, dx, dy)
p = presPoisson(p, dx, dy, b)

u[2:end-1, 2:end-1] =
un[2:end-1, 2:end-1] -
un[2:end-1, 2:end-1] * dt / dx *
(un[2:end-1, 2:end-1] - un[2:end-1, 1:end-2]) -
vn[2:end-1, 2:end-1] * dt / dy *
(un[2:end-1, 2:end-1] - un[1:end-2, 2:end-1]) -
dt / (2 * rho * dx) * (p[2:end-1, 3:end] - p[2:end-1, 1:end-2]) +
nu * (
dt / dx^2 * (
un[2:end-1, 3:end] - 2 * un[2:end-1, 2:end-1] +
un[2:end-1, 1:end-2]
) +
dt / dy^2 * (
un[3:end, 2:end-1] - 2 * un[2:end-1, 2:end-1] +
un[1:end-2, 2:end-1]
)
)

v[2:end-1, 2:end-1] =
vn[2:end-1, 2:end-1] -
un[2:end-1, 2:end-1] * dt / dx *
(vn[2:end-1, 2:end-1] - vn[2:end-1, 1:end-2]) -
vn[2:end-1, 2:end-1] * dt / dy *
(vn[2:end-1, 2:end-1] - vn[1:end-2, 2:end-1]) -
dt / (2 * rho * dy) * (p[3:end, 2:end-1] - p[1:end-2, 2:end-1]) +
nu * (
dt / dx^2 * (
vn[2:end-1, 3:end] - 2 * vn[2:end-1, 2:end-1] +
vn[2:end-1, 1:end-2]
) + (
dt / dy^2 * (
vn[3:end, 2:end-1] - 2 * vn[2:end-1, 2:end-1] +
vn[1:end-2, 2:end-1]
)
)
)

u[1, :] .= 0
u[:, 1] .= 0
u[:, end] .= 0
u[end, :] .= 1 #set velocity on cavity lid equal to 1
v[1, :] .= 0
v[end, :] .= 0
v[:, 1] .= 0
v[:, end] .= 0

end
return u, v, p
end

计算100步,查看计算结果。

u = zeros((ny, nx));
v = zeros((ny, nx));
p = zeros((ny, nx));
b = zeros((ny, nx));
nt = 100;
u, v, p = cavityFlow(nt, u, v, dt, dx, dy, p, rho, nu);

fig = figure(figsize = (11, 7), dpi = 100)
contourf(x, y, p, alpha = 0.5) ###plnttong the pressure field as a contour
colorbar()
contour(x, y, p) ###plotting the pressure field outlines
xgrid = repeat(x', nx, 1)
ygrid = repeat(y, 1, ny)
quiver(
xgrid[1:2:end, 1:2:end],
ygrid[1:2:end, 1:2:end],
u[1:2:end, 1:2:end],
v[1:2:end, 1:2:end],
) ##plotting velocity
PyPlot.xlabel('
X')
PyPlot.ylabel('
Y');
PyPlot.show()

计算结果如下图所示。

迭代计算700步查看计算结果。

u = zeros((ny, nx));
v = zeros((ny, nx));
p = zeros((ny, nx));
b = zeros((ny, nx));
nt = 700;
u, v, p = cavityFlow(nt, u, v, dt, dx, dy, p, rho, nu);
fig = figure(figsize = (11, 7), dpi = 100);
contourf(x, y, p, alpha = 0.5);
colorbar();
contour(x, y, p);
quiver(
xgrid[1:2:end, 1:2:end],
ygrid[1:2:end, 1:2:end],
u[1:2:end, 1:2:end],
v[1:2:end, 1:2:end],
); ##plotting velocity
xlabel('X');
ylabel('Y');

计算结果如下图所示。

采用下面的代码查看流线。

fig = figure(figsize = (11, 7), dpi = 100);
contourf(x, y, p, alpha = 0.5,cmap = ColorMap("viridis"));
colorbar();
contour(x, y, p,cmap=ColorMap("viridis"));
xgrid = repeat(x', nx, 1)
ygrid = repeat(y, 1, ny)
streamplot(
xgrid[1:2:end, 1:2:end],
ygrid[1:2:end, 1:2:end],
u[1:2:end, 1:2:end],
v[1:2:end, 1:2:end],
)
PyPlot.xlabel("x")
PyPlot.ylabel("y")
PyPlot.show()

流线显示如下图所示。


完整代码如下。

using PyPlot
matplotlib.use("TkAgg")
nx = 41;
ny = 41;
nt = 500;
nit = 50;
c = 1;
dx = 2 / (nx - 1);
dy = 2 / (ny - 1);
x = range(0, 2, length = nx);
y = range(0, 2, length = ny);

rho = 1;
nu = 0.1;
dt = 0.001;

u = zeros((ny, nx));
v = zeros((ny, nx));
p = zeros((ny, nx));
b = zeros((ny, nx));


function buildUpB(b, rho, dt, u, v, dx, dy)
b[2:end-1, 2:end-1] =
rho * (
1 / dt * (
(u[2:end-1, 3:end] - u[2:end-1, 1:end-2]) / (2 * dx) +
(v[3:end, 2:end-1] - v[1:end-2, 2:end-1]) / (2 * dy)
) - ((u[2:end-1, 3:end] - u[2:end-1, 1:end-2]) / (2 * dx))^2 -
2 * (
(u[3:end, 2:end-1] - u[1:end-2, 2:end-1]) / (2 * dy) *
(v[2:end-1, 3:end] - v[2:end-1, 1:end-2]) / (2 * dx)
) - ((v[3:end, 2:end-1] - v[1:end-2, 2:end-1]) / (2 * dy))^2
)
return b
end

function presPoisson(p, dx, dy, b)
pn = zeros(size(p))
pn = copy(p)

for q = 1:nit
pn = copy(p)
p[2:end-1, 2:end-1] =
(
(pn[2:end-1, 3:end] + pn[2:end-1, 1:end-2]) * dy^2 +
(pn[3:end, 2:end-1] + pn[1:end-2, 2:end-1]) * dx^2
) / (2 * (dx^2 + dy^2)) -
dx^2 * dy^2 / (2 * (dx^2 + dy^2)) * b[2:end-1, 2:end-1]

p[:, end] = p[:, end-1] ##dp/dy = 0 at x = 2
p[1, :] = p[2, :] ##dp/dy = 0 at y = 0
p[:, 1] = p[:, 2] ##dp/dx = 0 at x = 0
p[end, :] .= 0 ##p = 0 at y = 2
end
return p
end

function cavityFlow(nt, u, v, dt, dx, dy, p, rho, nu)
b = zeros((ny, nx))

for n = 1:nt
un = copy(u)
vn = copy(v)

b = buildUpB(b, rho, dt, u, v, dx, dy)
p = presPoisson(p, dx, dy, b)

u[2:end-1, 2:end-1] =
un[2:end-1, 2:end-1] -
un[2:end-1, 2:end-1] * dt / dx *
(un[2:end-1, 2:end-1] - un[2:end-1, 1:end-2]) -
vn[2:end-1, 2:end-1] * dt / dy *
(un[2:end-1, 2:end-1] - un[1:end-2, 2:end-1]) -
dt / (2 * rho * dx) * (p[2:end-1, 3:end] - p[2:end-1, 1:end-2]) +
nu * (
dt / dx^2 * (
un[2:end-1, 3:end] - 2 * un[2:end-1, 2:end-1] +
un[2:end-1, 1:end-2]
) +
dt / dy^2 * (
un[3:end, 2:end-1] - 2 * un[2:end-1, 2:end-1] +
un[1:end-2, 2:end-1]
)
)

v[2:end-1, 2:end-1] =
vn[2:end-1, 2:end-1] -
un[2:end-1, 2:end-1] * dt / dx *
(vn[2:end-1, 2:end-1] - vn[2:end-1, 1:end-2]) -
vn[2:end-1, 2:end-1] * dt / dy *
(vn[2:end-1, 2:end-1] - vn[1:end-2, 2:end-1]) -
dt / (2 * rho * dy) * (p[3:end, 2:end-1] - p[1:end-2, 2:end-1]) +
nu * (
dt / dx^2 * (
vn[2:end-1, 3:end] - 2 * vn[2:end-1, 2:end-1] +
vn[2:end-1, 1:end-2]
) + (
dt / dy^2 * (
vn[3:end, 2:end-1] - 2 * vn[2:end-1, 2:end-1] +
vn[1:end-2, 2:end-1]
)
)
)

u[1, :] .= 0
u[:, 1] .= 0
u[:, end] .= 0
u[end, :] .= 1 #set velocity on cavity lid equal to 1
v[1, :] .= 0
v[end, :] .= 0
v[:, 1] .= 0
v[:, end] .= 0

end
return u, v, p
end

#
# u = zeros((ny, nx));
# v = zeros((ny, nx));
# p = zeros((ny, nx));
# b = zeros((ny, nx));
# nt = 100;
# u, v, p = cavityFlow(nt, u, v, dt, dx, dy, p, rho, nu);
#
# fig = figure(figsize = (11, 7), dpi = 100)
# contourf(x, y, p, alpha = 0.5) ###plnttong the pressure field as a contour
# colorbar()
# contour(x, y, p) ###plotting the pressure field outlines
# xgrid = repeat(x', nx, 1)
# ygrid = repeat(y, 1, ny)
# quiver(
# xgrid[1:2:end, 1:2:end],
# ygrid[1:2:end, 1:2:end],
# u[1:2:end, 1:2:end],
# v[1:2:end, 1:2:end],
# ) ##plotting velocity
# PyPlot.xlabel('X')
# PyPlot.ylabel('Y');
# PyPlot.show()

u = zeros((ny, nx));
v = zeros((ny, nx));
p = zeros((ny, nx));
b = zeros((ny, nx));
nt = 700;
u, v, p = cavityFlow(nt, u, v, dt, dx, dy, p, rho, nu);
fig = figure(figsize = (11, 7), dpi = 100);
contourf(x, y, p, alpha = 0.5,cmap = ColorMap("viridis"));
colorbar();
contour(x, y, p,cmap=ColorMap("viridis"));
xgrid = repeat(x', nx, 1)
ygrid = repeat(y, 1, ny)
streamplot(
xgrid[1:2:end, 1:2:end],
ygrid[1:2:end, 1:2:end],
u[1:2:end, 1:2:end],
v[1:2:end, 1:2:end],
)
PyPlot.xlabel("x")
PyPlot.ylabel("y")
PyPlot.show()

# contourf(x, y, p, alpha = 0.5);
# colorbar();
# contour(x, y, p);
# quiver(
# xgrid[1:2:end, 1:2:end],
# ygrid[1:2:end, 1:2:end],
# u[1:2:end, 1:2:end],
# v[1:2:end, 1:2:end],
# ); ##plotting velocity
# xlabel('X');
# ylabel('Y');

PyPlot.show()

本篇文章来源于微信公众号: CFD之道

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