水布垭面板堆石坝变形反馈分析 | |
王彭煦 ; 宋文晶 ; WANG Pengxu ; SONG Wenjing | |
2010-06-10 ; 2010-06-10 | |
关键词 | 水工结构 反演分析 神经网络 遗传算法 清华K-G模型 堆石坝 hydraulic structure back-analysis neural networks genetic algorithm Tsinghua K-G model CFRD TV641.43 |
其他题名 | Back analysis on deformation of Shuibuya CFRD |
中文摘要 | 根据水布垭面板坝实测变形,在试验参数基础上采用神经网络和遗传算法反馈得到堆石料的清华K-G模型参数,对大坝蓄水后的变形和应力进行分析。预测认为,正常高蓄水位下坝体最大沉降约为坝高的1%,面板最大法向位移约为457mm,应力状态表现为河谷部位受压,周边坝肩部位受拉,接缝体系的变形都在止水承受能力以内。; The direct back-analysis method combined with the neural networks and genetic algorithm is adopted to compute Tsinghua K-G model parameters of Shuibuya concrete face rockfill dam(CFRD) according to the measured settlement in Dec.2006. Tsinghua K-G model is used for 3-D FEM analysis to predict deformation and stresses when the water level reaches the normal high water level of 400m. The maximum computed settlement of rockfill dam is approximately 2.39m,which is only 1% of the dam height. The max normal displacement of face slab is computed about 457mm,and the result of stress analysis indicates that the face slab is compressed in central and otherwise around abutment. The displacements of vertical and peripheral joints are less than 5 cm within the capability of waterstop strips. |
语种 | 中文 ; 中文 |
内容类型 | 期刊论文 |
源URL | [http://hdl.handle.net/123456789/59738] ![]() |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | 王彭煦,宋文晶,WANG Pengxu,等. 水布垭面板堆石坝变形反馈分析[J],2010, 2010. |
APA | 王彭煦,宋文晶,WANG Pengxu,&SONG Wenjing.(2010).水布垭面板堆石坝变形反馈分析.. |
MLA | 王彭煦,et al."水布垭面板堆石坝变形反馈分析".(2010). |
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