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meanSlice.m
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classdef meanSlice < aveSlice
% MEANSLICE Contains the 2D (spanwise averaged) mean flow
properties
time;
nMean;
meanTime;
Pr; % Turbulence production
diss;
pbar;
Tbar;
rev_gen_x;
rev_gen_y;
irrev_gen;
diss_T;
span;
nk;
rous;
rovs;
rows;
k;
advK;
e_s = [];
e_phi = [];
e_irrev = [];
e_rev = [];
e_Pr = [];
e_diss = [];
roUddUdd;
roVddVdd;
roWddWdd;
roUddVdd;
roUddWdd;
roVddWdd;
end
properties (Dependent = true, Hidden = true)
eta_Kol % Kolmogorov scale
cellSize_Kol; % Cell size/ Kolmogorov scale
mut_opt;
tau_Re;
tau_Re_an; % Anisotropic componant of Re stress tensor
tau_an_mag; % Magnitude of anisotropic componant of Re stress
tau_Re_an_mag;
tau_Re_Boussinesq; % Reynolds stress tensor calculated with
omega_opt;
Rij;
tau_Re_mag; % RijSij / sqrt(SijSij)
end
methods
function obj = meanSlice(blk, gas, bcs, casedir, casetype, ishere, iPS)
if nargin < 7
iPS =false;
end
obj@aveSlice(blk, gas, bcs, iPS);
disp('Constructing meanSlice')
if nargin > 0
if nargin > 3 && ~isempty(casedir)
if ishere
basedir = casedir;
else
basedir = fullfile(casedir, 'mean_flo');
end
fullfile(basedir, 'mean_time.txt')
if exist(fullfile(basedir,'nstats.txt'),'file')
fid = fopen(fullfile(basedir,'nstats.txt'));
nstats = str2double(fgetl(fid));
statstype = str2double(fgetl(fid));
fclose(fid);
else
nstats = 17;
statstype = 1;
end
nstats;
if isnan(statstype)
statstype = 2;
end
fid = fopen(fullfile(basedir, 'mean_time.txt'),'r');
while ~feof(fid) % Use lastest mean files
temp=fgetl(fid);
end
% temp = fgetl(fid);
fclose(fid);
temp = str2num(temp);
obj.nMean = temp(1);
obj.meanTime = temp(3);
for nb = 1:obj.NB
ni = blk.blockdims(nb,1);
nj = blk.blockdims(nb,2);
ro = zeros(ni,nj);
ru = zeros(ni,nj);
rv = zeros(ni,nj);
rw = zeros(ni,nj);
Et = zeros(ni,nj);
ro2 = zeros(ni,nj);
rou2 = zeros(ni,nj);
rov2 = zeros(ni,nj);
row2 = zeros(ni,nj);
rouv = zeros(ni,nj);
rouw = zeros(ni,nj);
rovw = zeros(ni,nj);
p2 = zeros(ni,nj);
p = zeros(ni,nj);
T = zeros(ni,nj);
rous = zeros(ni,nj);
rovs = zeros(ni,nj);
rows = zeros(ni,nj);
diss = zeros(ni,nj);
qx_T = zeros(ni,nj);
qy_T = zeros(ni,nj);
qz_T = zeros(ni,nj);
irrev_gen = zeros(ni,nj);
diss_T = zeros(ni,nj);
sz = size(ro2);
icount(1:prod(sz)) = 0;
switch casetype
case 'cpu'
flopath = fullfile(basedir, ['mean2_' num2str(nb) '_' num2str(obj.nMean)]);
flofile = fopen(flopath,'r');
fullfile(basedir, ['mnod2_' num2str(nb) '_' num2str(obj.nMean)]);
nodfile = fopen(fullfile(basedir, ['mnod2_' num2str(nb) '_' num2str(obj.nMean)]),'r');
A = fread(flofile,inf,'float64');
% fprintf('%d %d %d\n',nb, length(A), nstats)
A = reshape(A,nstats,length(A)/nstats);
B = fread(nodfile,inf,'uint32');
B = reshape(B,3,length(B)/3);
fclose(flofile);
fclose(nodfile);
for n=1:size(A,2)
i = B(1,n);
j = B(2,n);
if icount(sub2ind(sz,i,j)) == 0
icount(sub2ind(sz,i,j)) = 1;
ro(i,j) = A(1,n)/obj.meanTime;
ru(i,j) = A(2,n)/obj.meanTime;
rv(i,j) = A(3,n)/obj.meanTime;
rw(i,j) = A(4,n)/obj.meanTime;
Et(i,j) = A(5,n)/obj.meanTime;
ro2(i,j) = A(6,n)/obj.meanTime;
rou2(i,j) = A(7,n)/obj.meanTime;
rov2(i,j) = A(8,n)/obj.meanTime;
row2(i,j) = A(9,n)/obj.meanTime;
rouv(i,j) = A(10,n)/obj.meanTime;
rouw(i,j) = A(11,n)/obj.meanTime;
rovw(i,j) = A(12,n)/obj.meanTime;
p2(i,j) = A(13,n)/obj.meanTime;
if statstype == 1
p(i,j) = A(14,n)/obj.meanTime;
T(i,j) = A(15,n)/obj.meanTime;
rous(i,j) = A(16,n)/obj.meanTime;
elseif statstype == 2
rous(i,j) = A(14,n)/obj.meanTime;
rovs(i,j) = A(15,n)/obj.meanTime;
rows(i,j) = A(16,n)/obj.meanTime;
end
diss(i,j) = A(17,n)/obj.meanTime;
if nstats > 17
qx_T(i,j) = A(18,n)/obj.meanTime;
qy_T(i,j) = A(19,n)/obj.meanTime;
qz_T(i,j) = A(20,n)/obj.meanTime;
irrev_gen(i,j) = A(21,n)/obj.meanTime; % Pr/(T^2*mu*cp) * Σqi*qi
end
if nstats > 21
diss_T(i,j) = A(22,n)/obj.meanTime;
end
end
end
case 'gpu'
nstats_prim = 12;
if statstype == 4
nstats_prim = 11;
end
nstats_budg = nstats-nstats_prim;
flopath = fullfile(basedir, ['mean2_' num2str(nb) '_' num2str(obj.nMean)]);
flofile = fopen(flopath,'r');
fullfile(basedir, ['mnod2_' num2str(nb) '_' num2str(obj.nMean)]);
A = fread(flofile,ni*nj*nstats,'float64');
% fprintf('%d %d %d\n',nb, length(A), nstats)
prim = reshape(A(1:ni*nj*nstats_prim),nstats_prim,[])';%length(A)/25)';
budg = reshape(A(ni*nj*nstats_prim+1:end),nstats_budg,[])';
fclose(flofile);
nn = 1;
ro = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
ru = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
rv = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
rw = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
Et = reshape(prim(:,nn),ni,nj)/obj.meanTime;
if statstype ~= 4
nn = nn+1;
ro2 = reshape(prim(:,nn),ni,nj)/obj.meanTime;
end
nn = nn+1;
rou2 = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
rov2 = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
row2 = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
rouv = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
rouw = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
rovw = reshape(prim(:,nn),ni,nj)/obj.meanTime;
nn = 1;
if statstype ~= 4
p2 = reshape(budg(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
end
rous = reshape(budg(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
rovs = reshape(budg(:,nn),ni,nj)/obj.meanTime;
if statstype ~= 4
nn = nn+1;
rows = reshape(budg(:,nn),ni,nj)/obj.meanTime;
end
nn = nn+1;
diss = reshape(budg(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
qx_T = reshape(budg(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
qy_T = reshape(budg(:,nn),ni,nj)/obj.meanTime;
nn = nn+1;
qz_T = reshape(budg(:,nn),ni,nj)/obj.meanTime;
if statstype ~= 4
nn = nn+1;
irrev_gen = reshape(budg(:,nn),ni,nj)/obj.meanTime; % Pr/(T^2*mu*cp) * Σqi*qi
nn = nn+1;
diss_T = reshape(budg(:,nn),ni,nj)/obj.meanTime;
end
end
Uf = ru./ro;
Vf = rv./ro;
Wf = rw./ro;
obj.ro{nb} = ro;
obj.u{nb} = Uf;
obj.v{nb} = Vf;
obj.w{nb} = Wf;
obj.Et{nb} = Et;
obj.pbar{nb} = (Et - 0.5*(rou2 + rov2 + row2))*(obj.gas.gam-1);
obj.Tbar{nb} = (obj.pbar{nb}.*obj.gas.gam)./(obj.gas.cp*(obj.gas.gam-1)*obj.ro{nb});
obj.diss{nb} = diss;
obj.rous{nb} = rous;
obj.rovs{nb} = rovs;
obj.rows{nb} = rows;
[DUDX,DUDY] = gradHO(blk.x{nb},blk.y{nb},obj.u{nb});
[DVDX,DVDY] = gradHO(blk.x{nb},blk.y{nb},obj.v{nb});
UddUdd = rou2./ro - Uf.*Uf;
VddVdd = rov2./ro - Vf.*Vf;
WddWdd = row2./ro - Wf.*Wf;
UddVdd = rouv./ro - Uf.*Vf;
UddWdd = rouw./ro - Uf.*Wf;
VddWdd = rovw./ro - Vf.*Wf;
obj.roUddUdd{nb} = rou2 - ro.*Uf.*Uf;
obj.roVddVdd{nb} = rov2 - ro.*Vf.*Vf;
obj.roWddWdd{nb} = row2 - ro.*Wf.*Wf;
obj.roUddVdd{nb} = rouv - ro.*Uf.*Vf;
obj.roUddWdd{nb} = rouw - ro.*Uf.*Wf;
obj.roVddWdd{nb} = rovw - ro.*Vf.*Wf;
obj.Pr{nb} = -ro.*(UddUdd.*DUDX + UddVdd.*(DUDY+DVDX) + VddVdd.*DVDY);
% obj.Pr{nb} = -obj.roUdd
obj.diss{nb} = diss;
obj.k{nb} = 0.5*(UddUdd + VddVdd + WddWdd);
if nstats > 17
obj.rev_gen_x{nb} = qx_T;
obj.rev_gen_y{nb} = qy_T;
obj.irrev_gen{nb} = irrev_gen;
end
if nstats > 21
obj.diss_T{nb} = diss_T;
end
[drouk_dx,~]=gradHO(blk.x{nb},blk.y{nb},obj.ro{nb}.*obj.u{nb}.*obj.k{nb});
[~,drovk_dy]=gradHO(blk.x{nb},blk.y{nb},obj.ro{nb}.*obj.v{nb}.*obj.k{nb});
obj.advK{nb} = drouk_dx + drovk_dy;
end
obj.getBCs(blk.inlet_blocks{1});
end
obj.span = blk.span;
obj.nk = blk.nk;
end
% Mnow = obj.M;
% Unow = obj.vel;
% ronow = obj.ro;
% munow = obj.mu;
% %Mnow = Mnow{blk.inlet_blocks{1}};
% pnow = obj.p;
% %pnow = pnow{blk.inlet_blocks{1}};
%
% p0 = [];
% Uinf = [];
% muinf = [];
% roinf = [];
% for i=1:length(blk.inlet_blocks{1})
% p0now = pnow{blk.inlet_blocks{1}(i)}.*(1+((obj.gas.gam - 1)/2)*Mnow{blk.inlet_blocks{1}(i)}.^2).^(obj.gas.gam/(obj.gas.gam-1));
% p0 = [p0 p0now(40:100,:)];
% Uinf = [Uinf Unow{blk.inlet_blocks{1}(i)}(40:100,:)];
% muinf = [muinf munow{blk.inlet_blocks{1}(i)}(40:100,:)];
% roinf = [roinf ronow{blk.inlet_blocks{1}(i)}(40:100,:)];
% end
% obj.p0in = mean(p0,'all');
% obj.Uinf = mean(Uinf,'all');
% obj.muinf = mean(muinf,'all');
% obj.roinf = mean(roinf,'all');
end
function addSlice(obj, newSlice)
props2add = {"Pr", "diss", "rev_gen_x", "rev_gen_y", "irrev_gen", "diss_T", "p", "T", ...
"rous", "rovs", "rows", "k", "advK", "ro", "u", "v", "w", "Et", ...
"roUddUdd", "roVddVdd", "roWddWdd", "roUddVdd", "roUddWdd", "roVddWdd"};
tot_time = obj.meanTime + newSlice.meanTime;
for ip = 1:length(props2add)
tmp = {};
for ib = 1:obj.NB
if ~isempty(newSlice.(props2add{ip}))
tmp{ib} = (obj.(props2add{ip}){ib}*obj.meanTime + ...
newSlice.(props2add{ip}){ib}*newSlice.meanTime)/tot_time;
end
end
obj.(props2add{ip}) = tmp;
end
obj.meanTime = tot_time;
end
function value = get.eta_Kol(obj)
nunow = obj.nu;
dissnow = obj.diss;
for ib = 1:obj.NB
disstmp = max(1e-18*ones(size(dissnow{ib})), dissnow{ib});
value{ib} = ((nunow{ib}.^3)./disstmp).^0.25;
end
end
function value = get.cellSize_Kol(obj)
etanow = obj.eta_Kol;
csnow = obj.cellSize;
for ib = 1:obj.NB
value{ib} = csnow{ib}./etanow{ib};
end
end
function value = get.mut_opt(obj)
%Traceless strain tensor
S = obj.St_an;
% Traceless Re stress tensor
tau = obj.tau_Re_an;
for ib = 1:obj.NB
% [DUDX,DUDY] = gradHO(obj.blk.x{ib},obj.blk.y{ib},obj.u{ib});
% [DVDX,DVDY] = gradHO(obj.blk.x{ib},obj.blk.y{ib},obj.v{ib});
% S = zeros(obj.blk.blockdims(ib,1),obj.blk.blockdims(ib,2),3,3);
% tau = S;
%
% S(:,:,1,1) = 2*DUDX/3 - DVDY/3;
% S(:,:,2,2) = 2*DVDY/3 - DUDX/3;
% S(:,:,3,3) = -(DUDX+DVDY)/3;
%
% S(:,:,1,2) = 0.5*(DUDY+DVDX);
% S(:,:,2,1) = S(:,:,1,2);
% Traceless strain magnitude
% St = sqrt(sum(sum(S.*S,4),3));
% tau(:,:,1,1) = -2*obj.roUddUdd{ib}/3 + obj.roVddVdd{ib}/3 + obj.roWddWdd{ib}/3;
% tau(:,:,2,2) = -2*obj.roVddVdd{ib}/3 + obj.roUddWdd{ib}/3 + obj.roUddWdd{ib}/3;
% tau(:,:,3,3) = -2*obj.roWddWdd{ib}/3 + obj.roUddUdd{ib}/3 + obj.roVddVdd{ib}/3;
%
% tau(:,:,1,2) = -obj.roUddVdd{ib};
% tau(:,:,2,1) = tau(:,:,1,2);
num = sum(sum(tau{ib}.*S{ib},4),3);
den = sum(sum(S{ib}.*S{ib},4),3);
mask = obj.k{ib} < 10;
num(mask) = 0;
% den = max(den, 1000);
% num = obj.tau_Re{ib};
% den = obj.S_an_mag{ib};
value{ib} = 0.5*abs(num./den);
end
end
function value = mut_opt_ratio(obj)
mut = obj.mut_opt;
mu = obj.mu;
for ib = 1:obj.NB
value{ib} = mut{ib}./mu{ib};
end
end
function value = get.tau_Re(obj)
for ib = 1:obj.NB
tau = zeros(obj.blk.blockdims(ib,1),obj.blk.blockdims(ib,2),3,3);
tau(:,:,1,1) = -obj.roUddUdd{ib};
tau(:,:,2,2) = -obj.roVddVdd{ib};
tau(:,:,3,3) = -obj.roWddWdd{ib};
tau(:,:,1,2) = -obj.roUddVdd{ib};
tau(:,:,2,1) = tau(:,:,1,2);
tau(:,:,1,3) = -obj.roUddWdd{ib};
tau(:,:,3,1) = tau(:,:,1,3);
tau(:,:,2,3) = -obj.roVddWdd{ib};
tau(:,:,3,2) = tau(:,:,1,3);
value{ib} = tau;
end
end
function value = get.tau_Re_an(obj)
tau_Re = obj.tau_Re;
for ib = 1:obj.NB
tr = tau_Re{ib}(:,:,1,1) + tau_Re{ib}(:,:,2,2) + tau_Re{ib}(:,:,3,3);
tau = tau_Re{ib};
for i = 1:3
tau(:,:,i,i) = tau(:,:,i,i) - tr/3;
end
value{ib} = tau;
% tau = zeros(obj.blk.blockdims(ib,1),obj.blk.blockdims(ib,2),3,3);
%
% tau(:,:,1,1) = -2*obj.roUddUdd{ib}/3 + obj.roVddVdd{ib}/3 + obj.roWddWdd{ib}/3;
% tau(:,:,2,2) = -2*obj.roVddVdd{ib}/3 + obj.roUddUdd{ib}/3 + obj.roWddWdd{ib}/3;
% tau(:,:,3,3) = -2*obj.roWddWdd{ib}/3 + obj.roUddUdd{ib}/3 + obj.roVddVdd{ib}/3;
%
% tau(:,:,1,2) = -obj.roUddVdd{ib};
% tau(:,:,2,1) = tau(:,:,1,2);
%
% value{ib} = sum(sum(abs(tau.*Snow{ib}),4),3);
end
end
function value = get.tau_Re_an_mag(obj)
tau = obj.tau_Re_an;
for ib = 1:obj.NB
value{ib} = sqrt(sum(sum(tau{ib}.*tau{ib},4),3));
end
end
function value = get.Rij(obj)
for ib = 1:obj.NB
tau = zeros(obj.blk.blockdims(ib,1),obj.blk.blockdims(ib,2),3,3);
tau(:,:,1,1) = obj.roUddUdd{ib};
tau(:,:,2,2) = obj.roVddVdd{ib};
tau(:,:,3,3) = obj.roWddWdd{ib};
tau(:,:,1,2) = obj.roUddVdd{ib};
tau(:,:,2,1) = tau(:,:,1,2);
tau(:,:,1,3) = obj.roUddWdd{ib};
tau(:,:,3,1) = tau(:,:,1,3);
tau(:,:,2,3) = obj.roVddWdd{ib};
tau(:,:,3,2) = tau(:,:,2,3);
value{ib} = tau ./ obj.ro{ib};
end
end
function value = get.tau_Re_mag(obj)
R = obj.Rij;
S = obj.St;
for ib = 1:obj.NB
value{ib} = sum(sum(R{ib}.*S{ib},4),3) ./ ...
sqrt(sum(sum(S{ib}.*S{ib},4),3));
end
end
function value = get_ctau(obj)
disp('Calculating c_tau from Rij and Sij')
inds = obj.BLedgeInd;
Uenow = obj.Ue;
ronow = obj.oGridProp('ro');
for i=1:length(inds)
roe(i) = ronow(i,inds(i));
end
tau = obj.oGridProp('tau_Re_mag');
value = -tau./(roe'.*Uenow.^2);
end
function write_mut_opt_input(obj, folder)
mto = obj.mut_opt;
for ib = 1:obj.NB
tau_Re_tr = 2*obj.ro{ib}.*obj.k{ib}/3;
n = 1;
A = [];
B = [];
for i=1:obj.blk.blockdims(ib,1)
for j=1:obj.blk.blockdims(ib,2)
A(n) = mto{ib}(i,j);
A(n+1) = tau_Re_tr(i,j);
B(n) = i;
B(n+1) = j;
n = n+2;
end
end
mto_file = fopen(fullfile(folder, ['mut_opt_' num2str(ib)]),'w');
nod_file = fopen(fullfile(folder, ['mto_nod_' num2str(ib)]),'w');
fwrite(mto_file,A,'float64');
fwrite(nod_file,B,'int32');
fclose(mto_file);
fclose(nod_file);
end
end
function value = get.omega_opt(obj)
mto = obj.mut_opt;
mul = obj.mu;
ronow = obj.ro;
know = obj.k;
for ib = 1:obj.NB
om = ronow{ib}.*know{ib}./max(mul{ib},mto{ib});
value{ib} = abs(om);
end
end
function value = get_p(obj)
value = obj.pbar;
end
function value = get_T(obj)
value = obj.Tbar;
end
function obj.set_p(obj,value)
obj.pbar = value;
end
function obj.set_T(obj,value)
obj.Tbar = value;
end
function value = get_mut(obj)
value = obj.mut_opt;
end
function value = mut_opt_cleaned(obj, smoothwindow)
if nargin < 2
smoothwindow = 1;
end
mtr = obj.mut_ratio{1};
ynow = obj.blk.y{1};
del = obj.delta99;
for i=1:obj.blk.blockdims(1,1)
mtr_max = max(mtr(i,ynow(i,:) < 0.9*del(i)));
lim = mtr_max * (1-tanh(((ynow(i,:)/del(i) - 0.9)*10)));
mtr(i,:) = min(mtr(i,:),lim);
end
if smoothwindow > 1
mtr = smoothdata2(mtr, 'lowess',smoothwindow);
end
value{1} = mtr.*obj.mu{1};
end
function write_as_inst_slice(obj, path)
for ib = 1:obj.NB
f = fopen(fullfile(path, ['flow_' num2str(ib)]),'w');
A(:,1) = reshape(obj.ro{ib},[],1);
A(:,2) = reshape(obj.u{ib},[],1).*A(:,1);
A(:,3) = reshape(obj.v{ib},[],1).*A(:,1);
A(:,4) = reshape(obj.w{ib},[],1).*A(:,1);
A(:,5) = reshape(obj.Et{ib},[],1);
A = reshape(A',[],1);
fwrite(f,A,'float64');
fclose(f);
end
end
function probes = xyPlusToProbeInds(obj, x, yp, k)
if nargin < 4
k=1;
end
probes = {};
for i = 1:length(yp)
[probe.i, probe.j, probe.nb] = grid_inds_at_y_plus(obj,x,yp(i));
probe.k = k;
probes{end+1} = probe;
end
end
end
end