如何将dat数据转化为OpenFOAM场文件
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老师，数据是tecplot格式，下载链接如下：
https://turbmodels.larc.nasa.gov/Other_LES_Data/2dhill_periodic.html“Average pressures, velocities & turbulence quantities, gzipped file hill_LES_avgresults.dat.gz (1.7 MB)”
完整的5mb，太大上传不了，部分如下，坐标和对应流场数据还是很好区分的：
# LES data for 2D hill, long-time-average results, Tecplot data file format # Data from Temmerman, Leschziner, et al. # Subset of this data also available from ERCOFTAC Classic Database, Case 81 # http://cfd.mace.manchester.ac.uk/ variables="x" "y" "p" "u/Ub" "v/Ub" "w/Ub" "nu_t/nu" "uu/Ub^2" "vv/Ub^2" "ww/Ub^2" "uv/Ub^2" "uw/Ub^2" "vw/Ub^2" "k/Ub^2" ZONE T="onlyzone" STRANDID=0, SOLUTIONTIME=0 I=196, J=128, K=1, ZONETYPE=Ordered DATAPACKING=BLOCK DT=(SINGLE SINGLE SINGLE SINGLE SINGLE ) 1.6071578E-02 4.8215870E-02 8.0367021E-02 0.1125362 0.1447275 0.1769350 0.2091558 0.2413900 0.2736352 0.3058870 0.3381367 0.3703752 0.4025976 0.4348043 0.4669973 0.4991801 0.5315053 0.5641251 0.5970455 0.6302705 0.6638022 0.6976425 0.7317982 0.7662754 0.8010758 0.8362055 0.8716663 0.9074619 0.9435977 0.9800737 1.016894 1.054060 1.091577 1.129447 1.167671 1.206250 1.245187 1.284486 1.324150 1.364184 1.404588 1.445366 1.486524 1.528066 1.569996 1.612317 1.655035 1.698151 1.741669 1.785596 1.829934 1.874691 1.919887 1.965541 2.011649 2.058197 2.105185 2.152615 2.200492 2.248821 2.297605 2.346848 2.396553 2.446728 2.497376 2.548501 2.600106 2.652197 2.704781 2.757859 2.811436 2.865520 2.920113 2.975218 3.030843 3.086993 3.143672 3.200882 3.258632 3.316927 3.375771 3.435169 3.495126 3.555650 3.616743 3.678410 3.740658 3.803494 3.866921 3.930944 3.995572 4.060810 4.126659 4.193129 4.260225 4.327954 4.396322 4.465334 4.534668 4.603679 4.672047 4.739775 4.806872 4.873343 4.939193 5.004428 5.069057 5.133080 5.196507 5.259342 5.321590 5.383258 5.444351 5.504874 5.564831 5.624229 5.683074 5.741368 5.799119 5.856329 5.913008 5.969158 6.024783 6.079890 6.134482 6.188564 6.242141 6.295220 6.347804 6.399894 6.451500 6.502625 6.553273 6.603448 6.653155 6.702398 6.751180 6.799509 6.847385 6.894816 6.941806 6.988353 7.034460 7.080114 7.125309 7.170066 7.214405 7.258332 7.301851 7.344967 7.387684 7.430006 7.471937 7.513479 7.554636 7.595414 7.635818 7.675851 7.715517 7.754817 7.793755 7.832335 7.870557 7.908425 7.945942 7.983109 8.019931 8.056406 8.092541 8.128337 8.163797 8.198927 8.233727 8.268205 8.302362 8.336205 8.369735 8.402958 8.435880 8.468500 8.500823 8.533006 8.565199 8.597406 8.629628 8.661867 8.694117 8.726368 8.758614 8.790848 8.823069 8.855276 8.887467 8.919637 8.951787 8.983931 1.6072614E-02 4.8221398E-02 8.0390953E-02 0.1126138 0.1449025 0.1772396 0.2096169 0.2420342 0.2744843 0.3069537 0.3394175 0.3718477 0.4042305 0.4365664 0.4688613 0.5011253 0.5335129 0.5661775 0.5991291 0.6323731 0.6659118 0.6997479 0.7338908 0.7683513 0.8031352 0.8382494 0.8736964 0.9094799 0.9456052 0.9820726 1.018886 1.056047 1.093558 1.131418 1.169626 1.208181 1.247085 1.286341 1.325952 1.365921 1.406246 1.446933 1.487990 1.529422 1.571233 1.613429 1.656014 1.698989 1.742358 1.786130 1.830307 1.874906 1.919975 1.965564 2.011655 2.058200 2.105188 2.152619 2.200496 2.248825 2.297608 2.346851 2.396556 2.446731 2.497379 2.548504 2.600109 2.652199 2.704783 2.757861 2.811438 2.865522 2.920114 2.975219 3.030844 3.086994 3.143672 3.200883 3.258633 3.316927 3.375771 3.435169 3.495126 3.555649 3.616742 3.678409 3.740657 3.803493 3.866919 3.930942 3.995570 4.060807 4.126657 4.193126 4.260222 4.327951 4.396320 4.465332 4.534665 4.603675 4.672043 4.739772 4.806869 4.873339 4.939189 5.004425 5.069052 5.133076 5.196502 5.259337 5.321585 5.383253 5.444345 5.504869 5.564826 5.624223 5.683068 5.741362 5.799112 5.856322 5.913001 5.969151 6.024776 6.079882 6.134475 6.188557 6.242134 6.295212 6.347795 6.399886 6.451491 6.502616 6.553264 6.603438 6.653145 6.702388 6.751170 6.799499 6.847376 6.894807 6.941796 6.988341 7.034430 7.080020 7.125089 7.169687 7.213865 7.257637 7.301008 7.343983 7.386566 7.428763 7.470576 7.512008 7.553064 7.593751 7.634077 7.674045 7.713657 7.752915 7.791821 7.830376 7.868582 7.906441 7.943952 7.981114 8.017929 8.054397 8.090521 8.126305 8.161752 8.196866 8.231650 8.266111 8.300256 8.334094 8.367631 8.400873 8.433826 8.466492 8.498878 8.531141 8.563437 8.595773 8.628156 8.660585 8.693049 8.725519 8.757970 8.790387 8.822764 8.855102 8.887390 8.919613 8.951782 8.983929 1.6075116E-02 4.8231687E-02 8.0423258E-02 0.1127023 0.1450891 0.1775567 0.2100914 0.2426924 0.2753479 0.3080350 0.3407131 0.3733364 0.4058819 0.4383501 0.4707500 0.5030981 0.5355510 0.5682628 0.6012480 0.6345130 0.6680605 0.7018941 0.7360257 0.7704708 0.8052388 0.8403382 0.8757718 0.9115435 0.9476586 0.9841177 1.020925 1.058081 1.095586 1.133437 1.171628 1.210158 1.249030 1.288243 1.327801 1.367703 1.407949 1.448544 1.489497 1.530817 1.572508 1.614576 1.657024 1.699854 1.743071 1.786684 1.830698 1.875136 1.920077 1.965600 2.011670 2.058211 2.105197 2.152627 2.200504 2.248832 2.297615 2.346857 2.396562 2.446736 2.497384 2.548508 2.600113 2.652203 2.704787 2.757864 2.811441 2.865524 2.920117 2.975222 3.030846 3.086996 3.143674 3.200884 3.258634 3.316928 3.375772 3.435170 3.495126 -
数据应该是按块分布的，这五列应该都是变量x，数据可以在tecplot里重新输出为按列分布的，
没懂
https://turbulence.pha.jhu.edu/docs/channel/profiles.txt
这是Hopkins的数据，很直观：y+ U+ uv+ uu+ vv+ ww+ tau_uv/tau_w tau_nu/tau_w tau/tau_w P+ pp+ up+ ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 0.0000000e+00 0.0000000e+00 0.0000000e+00 4.6029311e-36 0.0000000e+00 1.2527210e-35 -0.0000000e+00 1.0000000e+00 1.0000000e+00 0.0000000e+00 6.4599422e+00 -2.8535219e-20 -
@李东岳 李老师，就是用tecplot能输出为您指的数据形式，每一列对应一个变量，比如：
TITLE = "" VARIABLES = "x" "y" "p" "u/Ub" "v/Ub" "w/Ub" "nu_t/nu" "<u'u'>/U<sub>b</sub><sup>2</sup>" "<v'v'>/U<sub>b</sub><sup>2</sup>" "<w'w'>/U<sub>b</sub><sup>2</sup>" "uv/Ub^2" "uw/Ub^2" "vw/Ub^2" "k/Ub^2" ZONE T="onlyzone" STRANDID=0, SOLUTIONTIME=0 I=196, J=128, K=1, ZONETYPE=Ordered DATAPACKING=POINT DT=(SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE SINGLE ) 1.607157849E-02 1.001670957E+00 -1.160032116E-02 -4.419332545E-04 1.108767829E-04 1.172445409E-04 4.169606604E-03 3.070679726E-03 5.363423497E-06 2.476341324E-03 -4.059855200E-05 1.324464120E-05 -2.093530611E-07 2.776192268E-03 4.821586981E-02 1.001688957E+00 1.396110019E-04 4.357797094E-03 8.979442646E-05 9.442696319E-05 4.473063163E-03 3.449148964E-03 5.933116881E-06 2.876745071E-03 -4.381870167E-05 1.613048153E-05 -2.160398651E-07 3.165913746E-03 8.036702126E-02 1.001670957E+00 1.550839003E-02 9.025274776E-03 1.329612860E-05 8.381024963E-05 4.288332537E-03 3.727899631E-03 5.552815765E-06 3.075941466E-03 -3.998054308E-05 2.274494545E-05 -2.837280135E-07 3.404696938E-03 1.125361994E-01 1.001445055E+00 2.612541243E-02 1.919417270E-02 -2.363917738E-04 1.087907294E-04 3.781126114E-03 3.806996159E-03 6.014777227E-06 2.951187082E-03 -7.744952745E-05 2.379864600E-05 -5.770835969E-07 3.382098861E-03 1.447274983E-01 1.000419021E+00 3.702546656E-02 1.935387589E-02 -9.386826423E-04 1.189410614E-04 3.441388486E-03 3.408961929E-03 1.454687845E-05 2.611031057E-03 -1.917025365E-04 2.557383959E-05 -1.437096330E-06 3.017270006E-03 1.769350022E-01 9.981601834E-01 4.660356045E-02 1.412238460E-02 -1.236868207E-03 1.366295910E-04 3.388901474E-03 2.840716857E-03 2.945053711E-05 2.342321211E-03 -2.724293445E-04 2.348102316E-05 -2.140308652E-06 2.606244292E-03 2.091557980E-01 9.944663048E-01 5.734289065E-02 4.700349644E-03 -6.553693092E-04 1.441779459E-04 3.570280271E-03 2.361760009E-03 5.394188702E-05 2.147532534E-03 -3.465094196E-04 2.182194294E-05 -3.161800123E-06 2.281617373E-03 2.413900048E-01 9.890016913E-01 6.659116596E-02 -4.727009684E-03 9.238781640E-04 1.252938819E-04 3.973037004E-03 2.007554518E-03 9.121072071E-05 2.040160587E-03 -4.207944730E-04 2.163483987E-05 -4.550076937E-06 2.069463022E-03 2.736352086E-01 9.814335108E-01 7.550033182E-02 -1.226636581E-02 3.284901148E-03 9.592642891E-05 4.854913801E-03 1.890096581E-03 1.540009980E-04 1.985419774E-03 -5.343046505E-04 1.919102579E-05 -5.457195584E-06 2.014758531E-03 3.058870137E-01 9.714285731E-01 8.219367266E-02 -1.585314423E-02 5.553464405E-03 1.225007691E-05 7.452565245E-03 1.883902820E-03 2.544213203E-04 1.922742347E-03 -6.884611794E-04 8.922108464E-06 -3.239756779E-06 2.030533273E-03 3.381367028E-01 9.587087035E-01 8.831046522E-02 -1.742931083E-02 7.657137234E-03 -5.126111864E-05 1.384659857E-02 1.852983725E-03 3.839910205E-04 1.818480319E-03 -8.407403948E-04 -1.677947012E-06 8.278285577E-07 2.027727431E-03 3.703751862E-01 9.432629943E-01 9.336583316E-02 -1.686210930E-02 8.794154041E-03 3.129130710E-05 2.444427274E-02 1.714259852E-03 4.927591654E-04 1.661306480E-03 -9.171591373E-04 3.393027328E-06 -1.732327632E-06 1.934162690E-03 4.025976062E-01 9.253342748E-01 9.835574031E-02 -1.553214993E-02 9.222077206E-03 7.906599058E-05 3.771342337E-02 1.464983448E-03 5.403565592E-04 1.458810992E-03 -8.884384879E-04 5.756015071E-06 -3.364400527E-06 1.732075587E-03 4.348042905E-01 9.052193761E-01 1.024615988E-01 -1.335643232E-02 8.764483966E-03 4.293467646E-05 5.186402425E-02 1.188463531E-03 5.316339084E-04 1.246515894E-03 -7.940374198E-04 4.800015631E-06 -3.192184977E-06 1.483306638E-03 4.669972956E-01 8.832147121E-01 1.061192974E-01 -1.114674564E-02 7.911175489E-03 1.114533234E-06 6.543247402E-02 9.446168551E-04 4.914068268E-04 1.062652562E-03 -6.807612954E-04 6.419184047E-06 -4.659785645E-06 1.249338151E-03 4.991801083E-01 8.596161008E-01 1.087564006E-01 -9.040180594E-03 6.819012575E-03 1.906530815E-05 7.746666670E-02 7.578500663E-04 4.429326509E-04 9.066381608E-04 -5.789970746E-04 1.981409468E-06 -1.536214654E-06 1.053710468E-03 5.315052867E-01 8.345888257E-01 1.110552996E-01 -7.447810378E-03 5.889367778E-03 4.942064697E-05 8.752124757E-02 6.230192957E-04 3.983406350E-04 7.891814457E-04 -4.978944780E-04 7.744821460E-07 -6.069661822E-07 9.052706882E-04 5.641251206E-01 8.082603216E-01 1.126338989E-01 -5.844191182E-03 4.790665116E-03 1.439555945E-05 9.612683207E-02 5.203748588E-04 3.564094659E-04 7.008929970E-04 -4.304422473E-04 -1.420996341E-06 1.140804329E-06 7.888386608E-04 5.970454812E-01 7.808707952E-01 1.139284000E-01 -4.751059692E-03 3.993643448E-03 -2.899725769E-05 1.011205018E-01 4.460995551E-04 3.202182415E-04 6.276970380E-04 -3.777765087E-04 -2.163184035E-06 1.783167363E-06 6.970074028E-04 6.302704811E-01 7.526702881E-01 1.148426011E-01 -3.732610028E-03 3.186505986E-03 -1.079070425E-04 1.025080010E-01 3.779401304E-04 2.789359423E-04 5.530502531E-04 -3.245451371E-04 -3.089254506E-06 2.575873850E-06 6.049631629E-04 6.638022065E-01 7.239235044E-01 1.155169010E-01 -3.113800427E-03 2.672569593E-03 -1.299815485E-04 1.001565978E-01 3.263925319E-04 2.428262669E-04 4.902411019E-04 -2.814127365E-04 -4.204823199E-06 3.541459819E-06 5.297299358E-04 6.976425052E-01 6.949139237E-01 1.160271019E-01 -2.589607844E-03 2.211316256E-03 -1.442474604E-04 9.582434595E-02 2.900119871E-04 2.134600800E-04 4.396356235E-04 -2.487174352E-04 -3.560399819E-06 3.004487780E-06 4.715538234E-04 7.317981720E-01 6.659088731E-01 1.163076013E-01 -2.212648746E-03 1.864501392E-03 -1.998465741E-04 8.804365993E-02 2.686502994E-04 1.920674695E-04 3.960952745E-04 -2.270761906E-04 -1.788054533E-06 1.529237807E-06 4.284065217E-04 -
你可以首先反推出网格点的位置信息。然后把相关变量处理成场数据。比如数据是
x y u ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 2 3 4那你的网格单元体心的位置坐标就是（2 3），然后U的值是（4 0 0）
