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时间:2019-11-27
《高雷诺数下的翼型绕流LBM数值模拟》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、第31卷第2期航空学报V01.31No.22010年2月ACTAAERONAUTICAETASTRONAUTICASINICAFeb.2010文章编号:1000-6893(2010)02—0238—06高雷诺数下的翼型绕流LBM数值模拟卓丛山1,钟诚文1”,李凯1,解建飞1,张勇3(1.西北工业大学翼型、叶栅空气动力学国防科技重点实验室,陕西西安710072)(2.西北工业大学高性能计算研究与发展中心,陕西西安710072)(3.中国人民解放军96125部队,广西柳州545000)SimulationofHighReynoldsNumberF
2、lowAroundAirfoilbyLatticeBoltzmannMethodZhuoCongshanl,ZhongChengwenl”,LiKail,XieJianfeil,ZhangYon93(1.NationalKeyLaboratoryofAerodynamicDesignandResearch.Northwestern‘PolyteehnicalUniversity,Xi’an710072,China)(2.CenterforHighPerformanceComputing,NorthwesternPolytechnicalUni
3、versity,Xi’an710072,China)(3.Unit96125ofTheChinesePeople’SLiberationArmy,Liuzhou545000,China)摘要:采用格子Boltzmann方法(LBM)的二维9速度(D2Q9)模型和贴体网格,通过引入非均匀网格插值方法和非平衡态外推边界处理,分别结合Baldwin-Lomax(B-L)湍流模型和Spalart-Allmaras(S-A)湍流模型,对高雷诺数RP≥5×105下的NACA0012翼型绕流进行了数值模拟和对比研究,两者的结果与CFL3D的结果和实验结果均
4、吻合的很好,相比之下,采用争A模型能更好地预测失速迎角,其处理分离流动的能力要强于BL模型。改进后的LBM适用于非均匀贴体网格,曲边边界,计算简单,并可应用于更复杂的高雷诺数流动中。关键词:格子Boltzmann方法;高雷诺数流动;非均匀;贴体网格;翼型中图分类号:V211.3;V211.41+2文献标识码:AAbstract:SimulationofahighReynoldsnumberflow(Re≥5×105)aroundanairfoil(NACA0012)usingtheLatticeBoltzmannmethod(LBM)ispe
5、rformedinthisarticle.Thepresentmethodchoosesatwo-dimensional9-velocity(D2Q9)modelandusesanon-uniformbody-fittedmesh.Originally。theLBMisanincompressibleflowsolverinorthogonalcoordinates.Inordertoresolvetheboundarylayeroftheairfoilaccurately,thealgo—rithmisextendedtOgeneraliz
6、edcoordinates.Meanwhile,anon-equilibriumextrapolationschemeforthewallboundaryconditionisadopted.InordertOcalculatehighReynoldsnumberflows,thepresentmethodiscom-binedwiththeBaldwin-Lomax(B-L)turbulencemodelandtheSpalart-Allmaras(S-A)turbulencemodelre-spectively.Theresultsagr
7、eeswellwiththeCFL3Dsolverresultsandexperimentaldata.ComparedwiththeB-Lmodel·the孓Amodelcangivemoreaccuratepredictionofthestaticstallangleandshowbetterabilityofseparatedflowsimulation.Thepresentmethodissuitableforproblemsofnon-uniformbody-fittedmeshandcurvilinearboundary,andi
8、tscalculationissimple.ItcanbeappliedtOmorecomplexhighReynoldsnumberflows.Keywords:
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