les of turbulence

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1、P1:JPJ/...P2:GDZCB896-FMCB896-Lesieur0521781248May27,20050:34LARGE-EDDYSIMULATIONSOFTURBULENCELarge-EddySimulationsofTurbulenceisanidealintroductionforpeoplenewtolarge-eddysimulation(LES),directnumericalsimulation,andReynolds-averagedNavier–Stokessimulationandmakesanexcellentreferenceforresearchers

2、.OfparticularinterestinthetextisthedetaileddiscussioninChapter2ofvorticity,pressure,andthevelocitygradienttensor,whicharequantitiesusefulforprobingtheresultsofasimulation–particularlywhenlookingforcoherentvorticesandcoherentstructures.Chapters4and5featureanin-depthdiscussionofspec-tralsubgrid-scale

3、modeling.Althoughphysical-spacemodelsaregenerallymorereadilyapplied,spectralmodelsgiveinsightintotherequirementsandlimitationsinsubgrid-scalemodelingandbackscattering.Athirdspecialfeatureisthede-taileddiscussioninChapter7ofLESofcompressibleflows–atopicpreviouslyaccessibleonlyinarticlesscatteredthrou

4、ghouttheliterature.Thiswillbeofin-teresttothosedealingwithsupersonicflows,combustion,astrophysics,andotherrelatedtopics.Chapter8focusesongeophysicalfluiddynamicswithemphasisonrotatingstratifiedshearflows.InterestingapplicationsofLEStostormformationaregiveninparticular.MarcelLesieur,OlivierM´etais,andPi

5、erreComteformthenucleusoftheGrenobleEquipeMod´elisationetSimulationdelaTurbulence(theGrenobleteamformodelingandsimulatingturbulence)andplayanimportantroleinthedevelopmentofsubgrid-scalemodelingofturbulentflowsrequiredforlarge-eddysimulationandintheimplementationoflarge-eddysimulationmethodologyinres

6、earchandapplications.Theywereresponsibleforearlyresearchonspec-tralsubgrid-scaleclosureandtheuseoftheclosureapproachindevelopingthephysical-spacestructure-functionmodel.Morerecentlytheyhavemadesignif-icantcontributionstothedevelopmentofmodelingforcompressibleturbulentflows.iP1:JPJ/...P2:GDZCB896-FMC

7、B896-Lesieur0521781248May27,20050:34iiP1:JPJ/...P2:GDZCB896-FMCB896-Lesieur0521781248May27,20050:34Large-EddySimulationsofTurbulenceMARCELLESIEURProfessor,NationalPolytechnicInstitute,GrenobleOLIVIERMETAISP