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Commit 19e95405 authored by Lars Hubatsch's avatar Lars Hubatsch
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Boundary conditions, initial conditions, phi_tot are now all parameterised.

parent bdc73267
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......@@ -2,16 +2,22 @@
% unbleached species. Model is assumed to be equilibrated
% (bleached+unbleached=const.=pt). Then bleached species initial
% conditions are introduced. Integration of model via pdepe.
a = -50;
b = 0.05;
c = 1/1000000000;
u0 = 0.1;
%% Solve pde
x = linspace(49, 80, 700);
t = linspace(0, 100, 1000);
sol = pdepe(0, @flory_hugg_a, @flory_ic, @flory_bc, x, t);
x = [linspace(49, 55, 600), linspace(55.01, 200, 300)];
t = linspace(0, 100, 100);
fh_ic = @(x) flory_ic(x, u0);
fh_bc = @(xl, ul, xr, ur, t) flory_bc(xl, ul, xr, ur, t, u0);
fh_pde = @(x, t, u, dudx) flory_hugg_pde(x, t, u, dudx, a, b, c, u0);
sol = pdepe(0, fh_pde, fh_ic, fh_bc, x, t);
%% Plotting
figure(1); hold on;
for i = 1:500
for i = 1:100
cla; xlim([49, 53]); ylim([0, 1.5]);
plot(x, phi_tot(x, -50, 0.25)); plot(x, sol(i, :)); pause(0.01);
plot(x, phi_tot(x, a, b, u0)); plot(x, sol(i, :)); pause(0.01);
end
%% Plot and check derivatives of pt
......@@ -21,41 +27,41 @@ plot(x, phi_tot(x, -50, 0.25));
plot(x, gradient_analytical(x, -50, 0.25));
%% Function definitions for pde solver
function [c, f ,s] = flory_hugg_a(x, t, u, dudx)
function [c, f ,s] = flory_hugg_pde(x, t, u, dudx, a, b, c_p, u0)
% Solve with full ternary model. Analytical derivatives.
% pt ... phi_tot
% gra_a ... analytical gradient of phi_tot
pt = phi_tot(x, -50, 0.25);
gra_a = gradient_analytical(x, -50, 0.25);
c = 1/100;
f = (1.3-pt)/pt*(pt*dudx-u*gra_a);
pt = phi_tot(x, a, b, u0);
gra_a = gradient_analytical(x, a, b);
c = c_p;
f = ((u0+1)-pt)/pt*(pt*dudx-u*gra_a);
s = 0;
end
function u0 = flory_ic(x)
function u = flory_ic(x, u0)
if x<50
u0 = 0.0;
u = 0.0;
else
u0 = 0.3;
u = u0;
end
% u0 = 0.3;
% u0 = phi_tot(x, -50, 1);
end
function [pl,ql,pr,qr] = flory_bc(xl,ul,xr,ur,t)
function [pl,ql,pr,qr] = flory_bc(xl, ul, xr, ur, t, u0)
pl = 0;
ql = 1;
% % No flux
% pr = 0;%ur - 0.01;
% qr = 1;
% Dirichlet BC
pr = ur- 0.3;
pr = ur - u0;
qr = 0;
end
function p = phi_tot(x, a, b)
p = (tanh(-(x+a)/b)+1)/2+0.3;
function p = phi_tot(x, a, b, u0)
p = (tanh(-(x+a)/b)+1)/2+u0;
end
function grad = gradient_analytical(x, a, b)
......
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