function d = mg_q1cd_supg(xy,ev,expe,eph,epw) %mg_q1cd_supg streamline diffusion matrix generator for GMG % d = mg_q1cd_supg(xy,ev,expe,eph,epw) % input % xy vertex coordinate vector % ev element mapping matrix % expe element peclet numbers % eph flow specific element lengths % epw centroid evaluated wind % output % d discrete streamline diffusion operator % % IFISS function: DJS; 26 February 2005. % Copyright (c) 2005 D.J. Silvester, H.C. Elman, A. Ramage % Analogous to femq1_cd_supg.m x=xy(:,1); y=xy(:,2); nvtx=length(x); nel=length(ev(:,1)); % % find the elements where streamline diffusion is active acte = find(isfinite(expe)); nacte=length(acte); % % initialise global matrices d = sparse(nvtx,nvtx); % % set up 2x2 Gauss points gpt=1.0e0/sqrt(3.0e0); s(1) = -gpt; t(1) = -gpt; s(2) = gpt; t(2) = -gpt; s(3) = gpt; t(3) = gpt; s(4) = -gpt; t(4) = gpt; % % loop over active and inactive elements % for iact = 1:nacte % ielem = acte(iact); % inner loop over elements for ivtx = 1:4 xl_v(:,ivtx) = x(ev(:,ivtx)); yl_v(:,ivtx) = y(ev(:,ivtx)); end de = zeros(nel,4,4); % loop over 2x2 Gauss points for igpt = 1:4 sigpt=s(igpt); tigpt=t(igpt); % evaluate derivatives etc [jac,invjac,phi,dphidx,dphidy] = deriv(sigpt,tigpt,xl_v,yl_v); [flowx,flowy] = gauss_transprt(sigpt,tigpt,xl_v,yl_v); for j = 1:4 for i = 1:4 de(:,i,j) = de(:,i,j) + flowx(:).*dphidx(:,i).*flowx(:).*dphidx(:,j).*invjac(:); de(:,i,j) = de(:,i,j) + flowy(:).*dphidy(:,i).*flowx(:).*dphidx(:,j).*invjac(:); de(:,i,j) = de(:,i,j) + flowx(:).*dphidx(:,i).*flowy(:).*dphidy(:,j).*invjac(:); de(:,i,j) = de(:,i,j) + flowy(:).*dphidy(:,i).*flowy(:).*dphidy(:,j).*invjac(:); end end % end of Gauss point loop end % % scale with the appropriate parameter acte = find(isfinite(expe)); factor = expe(acte); flow_h=eph(acte); flow_l2=epw(acte); lpe =zeros(nel,1); lpe(acte)= factor.*(flow_h./flow_l2); for j = 1:4 for i = 1:4 de(:,i,j) = lpe(:) .* de(:,i,j); end end % % perform assembly of global matrix and source vector for krow=1:4 nrow=ev(:,krow); for kcol=1:4 ncol=ev(:,kcol); d = d + sparse(nrow,ncol,de(:,krow,kcol),nvtx,nvtx); end end % return