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1、第25卷第5期傳感技術(shù)學報V01.25No.52012年5月CHINESE.IOURNALOFSENSORSANDACTUAT0RSMav2012InfiniteSeriesSolutionsfortheTorsionalRigidityofaPrismwithRight-AngledTrapezoidCross—SectionsYANGGang,HAOYilong,HUQifang,GAOChengchen(1.NationalKeyLaboratoryofScienceandTechnologyonMicro/NanoFabricatio
2、n,InstituteofMicroelectronics,PekingUniversityBeijing100871,China;2.ShenzhenGraduateSchool,PekingUniversity,ShenzhenGuangdong518055,China)Abstract:Thetorsionrigidityofanelasticbeamwithright-angledtrapezoidcrosssectionsandbaseanglesrangingfrom10。to80。isstudiedanalyticallyand
3、examinedthroughFEM(FiniteElementeMethod)simulation.Tosolvethisspecialcaseofthefreetorsionproblemsofelasticprisms(theSaint—Venantproblems)theinfiniteseriesmethodbasedontheBoussinesq’shydromechanicalassumptionsisadoptedandfirstlyreposedinthiswork.BycomparisonwiththeFEMsimulat
4、ionresults.theanalyticalonesgiveaprecisepredictionwitherrorslessthan3%inthestudyrange.Forthetorsionrigidityoftrapezoidcross—sectionsbeamwith54.74。baseangle,theanalyticalresultsgiveaprecisepredictionwitherrorslessthan1.5%.Keywords:Saint—Venantproblem;right—angledtrapezoidCRO
5、SS—sectionsbeam;torsionalrigidity;hydr0mechanicalassumption;infiniteseriesmethodEEACC:2575;0260doi:10.3969/j.issn.1004—1699.2012.05.008任意直角梯形截面梁扭轉(zhuǎn)剛度的無窮級數(shù)解法術(shù)楊綱,郝一龍,胡啟方,高成臣(1.北京大學微電子學研究所,微米/納米加t技術(shù)國家級重點實驗室,北京100871;2.北京大學深圳研究生院.廣東深圳518055)摘要:分析研究截面為底角10?!?0。直角梯形的彈性梁扭轉(zhuǎn)剛度的解法,并用有
6、限元模擬進行了檢驗。為解決這一彈性梁自由扭轉(zhuǎn)問題(圣維南問題)的特殊情形,在本文中首次采用了基于布賽乃斯克流體力學假設(shè)的無窮級數(shù)解法。分析解法與軟件模擬的結(jié)果對比顯示,在所研究的范圍內(nèi)其誤差精度不超過3%。對于底角為54.74。的特殊直角梯形截面梁,該解法的精度誤差小于1.5%。關(guān)鍵詞:圣維南問題;直角梯形截面梁;扭轉(zhuǎn)剛度;流體力學假設(shè);無窮級數(shù)法中圖分類號:TN305文獻標識碼:A文章編號:1004—1699(2012)05—0594—05Thestudyofthetorsionalresonancemodeofmicro—sectiont
7、opologicaloftrapezoidshapeswith54.74。basecantileverbeamsisofgreatvaluetotheadvancedandangles.Formerresearehergivesanalyticalsolutionforwidely-usedMEMSdevicesl1].Tl1esiliconstructuresthetorsionrigidityofprismwithtrapezoidcrosssectionwithtrapezoidalcross—sectionsoccurfrequent
8、lyinbothwith45。baseangleusingapproximatesolution.MEMSsensorsandICdevicessuchasAFMc