《工程首部节制闸水流特性试验研究陈欢》由会员分享，可在线阅读，更多相关《工程首部节制闸水流特性试验研究陈欢（3页珍藏版）》请在金锄头文库上搜索。
1、2982011M8?SWater Resources andPowerVol.29No.8Aug.2 01 1cI|:1000-7709(2011)08-0087-03GHAZI-BAROTHAnC+k陈欢1,2 ,费文才1 ,阿密尔沙比克罕马苏德3(1.qvSSELi,q430072;2.S,v,R443002;3.7?,H44000)K1:通过GHAZI-BAROTHA水电工程首部节制闸水工模型试验,获得了首部节制闸上游水位 流量 开度关系曲线,并确定了各工况下闸门开度、流量系数及淹没系数,为首部节制闸控制系统提供了闸门优化调度的科学依据。1oM:首部节制闸;水工模型试验;水流特性;闸门开
2、度;流量系数;淹没系数ms|:TV131.6;TV132DS:Bl:2011-02-26,:2011-04-06Te:(1986-),3,V3,Z_,E-mail:YT:n(1962-),3,q,Z_,E-mail:GHAZI-BAROTHA_v,_/,95290 MW,wg1y、-、5#_1 。nCGHAZI-BAROTHA_yFs,TeV。nC8d,d18.3 m7.5 mTC,A:。y_,GHAZI-BAROTHA_-_nM7M。hM,|nCC,C/+k,C、71,C4G。T98GHAZI-BAROTHA_nC、Ci(c、/)#|sF。(Froude)p!92 ,1120。8.92 m,
3、M1v =0.5L =4.472,1Q =2.5L =1788.854,qn =1/6L =1.648。nCCi、/VrVqB0.017 0.019,qM5,1pqnm =np/n =0.010 0.012,7;CqVr0.011。!:,Ci2.82 m,H:#CsYjj,O。Cn,VV$%;,qr0.011。|7.50 m ,!e/、:#。#e?SS=SISO1438/1 3T#。,4.0 m,z0.6 m,VV$%;,C。9T/:Q =(2/3)Cebe(2gh3e)1/2 (1)Ce =0.596 +0.045h/pbe =b +0.004 2;he =h +0.001T,Ce;berz
4、;gF;herh;hh;bgz,1% 4%。Ci、/sY,Kl0.1 mm。|!e/。nCknm1。kTkHqZk1p,Cd、/?#。?#、/C7,ks。m1GHAZI-BAROTHAnCm(:m)Fig.1Layout of test segment of headregulator gateof GHZI-BAROTHA model(1)B(dg1)。E_f,knV1。kPh=,/C7。V1dg1kTab.1Test program of free orifice flow/md/(m3s-1)340.0 20337.0 30336.0 40335.0 65(2)=(dg)。F/C7k#e
5、A1 、B1 、C1FM-nV2。V2dgkTab.2Test program of submerged orifice flow/mA1 B1 C1/mA B C50 335.4 334.7 336.3 335.7,337.0,340.0 335.2,337.0,340.0 337.0,338.5,340.075 336.3 335.4 337.5 336.6,338.5,340.0 336.0,338.0,340.0 338.0,339.0,340.0100 337.2 336.0 338.6 337.5,338.5,340.0 336.5,338.5,340.0 339.0,340.0
6、125 337.9 336.6 339.6 338.2,339.0,340.0 337.0,338.5,340.0 340.0 150 338.6 337.2 339.0,339.5,340.0 337.7,338.5,340.0175 339.3 337.7 339.6,340.0 338.3,339.0,340.0200 338.2 338.7,339.0,340.0230 338.2 338.7,339.0,340.0:A、B、CeF;m3/s。C71YVknC+wLnm2。?、/VCHq/,C7,H9M。kTV,、BH,C7/(Zd)9F79F;、/BH,C79F7h。(1)B。V?s
7、/Y,eTCd,7Cd-v,l,HClm2GHAZI-BAROTHAnC+wLFig.2Flow feature curve of GHAZI-BAROTHAheadregulator gateYl,y7Cd9InlY。VC:Q =0be 2gH 0 (2)0 = 0.97 -0.81 180- 0.56-0.81 180 eH(3)252.0H, CsM;hs/eY,.lo*/ J .TMY?, 2003, 16(4):403-406. 4 ,o,fN.lovdLF J .?S,2010,28(11):75-77. 5 S?,y,.BP*rF J .?S, 2010, 28(5):69-73
8、.DeepDeformationPredictionofFuliyuanLandslideBasedonWaveletNeuralNetworkCUI Yingming,LIU Jiamin(Chongqing CommunicationsSurvey andDesign Institute, Chongqing 401121, China)Abstract:In view of the complex problem of landslide deformation monitoring, BP wavelet neural network modelisappliedto forecast landslidedeformationbased on hydrogeology and engineering geology conditions of Fuliyuan landslide.And then the deformation trend of Fuliyuan landslide is predicted.Compared with the BP neural network, the resultsshow that the prediction effect of B
