1 |
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2 | %'calc_field': defines fields (velocity, vort, div...) from civx data and calculate them
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3 | %---------------------------------------------------------------------
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4 | % [DataOut,VarAttribute,errormsg]=calc_field_tps(Coord_tps,NbSites,SubRange,FieldVar,Operation,Coord_interp)
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5 | %
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6 | % OUTPUT:
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7 | % DataOut: structure representing the output fields
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8 | %
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9 | % INPUT:
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10 | % Coord_tps:
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11 | % NbSites
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12 | % SubRange
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13 | % FieldVar
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14 | % Operation: cell array representing the list of operations (eg div, rot..)
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15 | % Coord_interp: coordiantes of sites on which the fields need to be calculated
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16 |
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17 | function [DataOut,VarAttribute,errormsg]=calc_field_tps(Coord_tps,NbSites,SubRange,FieldVar,Operation,Coord_interp)
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18 |
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19 | %list of defined scalars to display in menus (in addition to 'ima_cor').
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20 | % a type is associated to each scalar:
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21 | % 'discrete': related to the individual velocity vectors, not interpolated by patch
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22 | % 'vel': calculated from velocity components, continuous field (interpolated with velocity)
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23 | % 'der': needs spatial derivatives
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24 | % 'var': the scalar name corresponds to a field name in the netcdf files
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25 | % a specific variable name for civ1 and civ2 fields are also associated, if
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26 | % the scalar is calculated from other fields, as explicited below
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27 | errormsg='';
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28 |
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29 | %% nbre of subdomains
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30 | if ndims(Coord_interp)==3
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31 | nb_coord=size(Coord_interp,3);
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32 | npx=size(Coord_interp,2);
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33 | npy=size(Coord_interp,1);
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34 | nb_sites=npx*npy;
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35 | Coord_interp=reshape(Coord_interp,nb_sites,nb_coord);
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36 | else
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37 | nb_coord=size(Coord_interp,2);
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38 | nb_sites=size(Coord_interp,1);
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39 | end
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40 | NbSubDomain=size(Coord_tps,3);
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41 | nbval=zeros(nb_sites,1);
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42 |
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43 | %% list of operations
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44 | check_grid=0;
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45 | check_der=0;
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46 | for ilist=1:length(Operation)
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47 | OperationType=regexprep(Operation{ilist},'(.+','');
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48 | switch OperationType
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49 | case 'vec'
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50 | check_grid=1;
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51 | DataOut.U=zeros(nb_sites,1);
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52 | DataOut.V=zeros(nb_sites,1);
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53 | VarAttribute{1}.Role='vector_x';
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54 | VarAttribute{2}.Role='vector_y';
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55 | case {'U','V','norm'}
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56 | check_grid=1;
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57 | DataOut.(OperationType)=zeros(nb_sites,1);
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58 | VarAttribute{1}.Role='scalar';
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59 | case {'curl','div','strain'}
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60 | check_der=1;
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61 | DataOut.(OperationType)=zeros(nb_sites,1);
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62 | VarAttribute{1}.Role='scalar';
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63 | end
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64 | end
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65 | Attr_FF.Role='errorflag';
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66 | VarAttribute=[VarAttribute {Attr_FF}];
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67 |
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68 | %% loop on subdomains
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69 | for isub=1:NbSubDomain
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70 | nbvec_sub=NbSites(isub);
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71 | check_range=(Coord_interp >=ones(nb_sites,1)*SubRange(:,1,isub)' & Coord_interp<=ones(nb_sites,1)*SubRange(:,2,isub)');
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72 | ind_sel=find(sum(check_range,2)==nb_coord);
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73 | nbval(ind_sel)=nbval(ind_sel)+1;% records the number of values for eacn interpolation point (in case of subdomain overlap)
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74 | if check_grid
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75 | EM = tps_eval(Coord_interp(ind_sel,:),Coord_tps(1:nbvec_sub,:,isub));%kernels for calculating the velocity from tps 'sources'
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76 | end
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77 | if check_der
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78 | [EMDX,EMDY] = tps_eval_dxy(Coord_interp(ind_sel,:),Coord_tps(1:nbvec_sub,:,isub));%kernels for calculating the spatial derivatives from tps 'sources'
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79 | end
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80 | ListVar={};
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81 | for ilist=1:length(Operation)
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82 | var_count=numel(ListVar);
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83 | switch Operation{ilist}
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84 | case 'vec(U,V)'
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85 | ListVar=[ListVar {'U', 'V'}];
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86 | VarAttribute{var_count+1}.Role='vector_x';
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87 | VarAttribute{var_count+2}.Role='vector_y';
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88 | DataOut.U(ind_sel)=DataOut.U(ind_sel)+EM *FieldVar(1:nbvec_sub+3,isub,1);
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89 | DataOut.V(ind_sel)=DataOut.V(ind_sel)+EM *FieldVar(1:nbvec_sub+3,isub,2);
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90 | case 'U'
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91 | ListVar=[ListVar {'U'}];
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92 | VarAttribute{var_count+1}.Role='scalar';
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93 | DataOut.U(ind_sel)=DataOut.U(ind_sel)+EM *FieldVar(1:nbvec_sub+3,isub,1);
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94 | case 'V'
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95 | ListVar=[ListVar {'V'}];
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96 | VarAttribute{var_count+1}.Role='scalar';
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97 | DataOut.V(ind_sel)=DataOut.V(ind_sel)+EM *FieldVar(1:nbvec_sub+3,isub,2);
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98 | case 'norm(U,V)'
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99 | ListVar=[ListVar {'norm'}];
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100 | VarAttribute{var_count+1}.Role='scalar';
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101 | U=DataOut.U(ind_sel)+EM *FieldVar(1:nbvec_sub+3,isub,1);
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102 | V=DataOut.V(ind_sel)+EM *FieldVar(1:nbvec_sub+3,isub,2);
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103 | DataOut.norm(ind_sel)=sqrt(U.*U+V.*V);
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104 | case 'curl(U,V)'
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105 | ListVar=[ListVar {'curl'}];
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106 | VarAttribute{var_count+1}.Role='scalar';
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107 | DataOut.curl(ind_sel)=DataOut.curl(ind_sel)-EMDY *FieldVar(1:nbvec_sub+3,isub,1)+EMDX *FieldVar(1:nbvec_sub+3,isub,2);
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108 | case 'div(U,V)'
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109 | ListVar=[ListVar {'div'}];
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110 | VarAttribute{var_count+1}.Role='scalar';
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111 | DataOut.div(ind_sel)=DataOut.div(ind_sel)+EMDX*FieldVar(1:nbvec_sub+3,isub,1)+EMDY *FieldVar(1:nbvec_sub+3,isub,2);
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112 | case 'strain(U,V)'
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113 | ListVar=[ListVar {'strain'}];
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114 | VarAttribute{var_count+1}.Role='scalar';
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115 | DataOut.strain(ind_sel)=DataOut.strain(ind_sel)+EMDY*FieldVar(1:nbvec_sub+3,isub,1)+EMDX *FieldVar(1:nbvec_sub+3,isub,2);
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116 | end
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117 | end
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118 | end
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119 | DataOut.FF=nbval==0; %put errorflag to 1 for points outside the interpolation rang
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120 | nbval(nbval==0)=1;% to avoid division by zero for averaging
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121 | ListFieldOut=fieldnames(DataOut);
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122 | for ifield=1:numel(ListFieldOut)
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123 | DataOut.(ListFieldOut{ifield})=DataOut.(ListFieldOut{ifield})./nbval;
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124 | DataOut.(ListFieldOut{ifield})=reshape(DataOut.(ListFieldOut{ifield}),npy,npx);
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125 | end
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126 |
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127 |
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128 |
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129 |
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