The Effect of Different Filling Methods on Working Behavior of High Concrete Face Rock-Fill Dam

Author(s):  
Xiaochun Lu ◽  
Bin Tian
Keyword(s):  

2012 ◽  
Vol 170-173 ◽  
pp. 2115-2118 ◽  
Author(s):  
Ling Cao ◽  
Zhen Biao Zhan ◽  
Yong Han

he application of artificial neural network and genetic algorithm is made into the Shuibuya concrete face rock-fill dam project. At the beginning of design phase, genetic algorithm was used to predict the deformation of the dam; One year after the completion of construction, the rheological constitutive model parameters of Shuibuya concrete face rock-fill dam (CFRD) was inverted based on the monitoring data. And the permanent deformation of the dam was computed with the help of artificial neural network and genetic algorithm. The study result not only can accurately grasp the characteristic of Shuibuya CFRD, but also is propitious for the advancement of the computation theory about superhigh project.



Author(s):  
Yin Shaofei ◽  
Peng Hui ◽  
Wu Fan ◽  
Wen Chen ◽  
Jin Ke ◽  
...  


2011 ◽  
Vol 287-290 ◽  
pp. 3002-3006 ◽  
Author(s):  
Cun Dong Xu ◽  
Yan Wang ◽  
Hui Min Hou ◽  
Hai Cheng Li

Compared with the traditional upstream dam slope construction method, the extrusion side wall technology has many advantages. such as less process steps, little interference, quick construction speed etc ,So it arouse more and more attention in the engineer design and construction fields . The technology of extrusion concrete side wall applied to the construction of concrete face rockfill dam in the Bailian river storage power station, machinery and equipment were used on the cushion material to form a concrete wall extrusion , which avoid the traditional process of Ultra-filled cushion material, rolling slopes, cut slopes and other complicated process, not only ensure the quality, but also improve the stress state of the panel.



2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Yanlong Li ◽  
Jing Wang ◽  
Zengguang Xu

This paper combined with the adaptive principle to improve the genetic algorithms (GA) and applied it to optimal design of the shape of the concrete face rock-fill dam (CFRD). Based on the improved GA, a mathematical model was established for the design optimization of CFRD. CFRD utilizes dam cost as objective function and dam slope and geometries of the dam material partition as design variables. Dam stability, stress, displacement, and stress level are used as the main condition constraints. The calculation procedures were prepared, and the GA was used to optimize the design of Jishixia CFRD. Results show that the GA could solve the global optimal solution problem of complex optimization design, such as the high degree of nonlinearity and the recessiveness of constraint conditions, and using the GA to optimize the CFRD design can reduce the quantities of projects and engineering safety costs.



2012 ◽  
Vol 594-597 ◽  
pp. 1882-1887
Author(s):  
Hong Ru Li ◽  
Fei Feng ◽  
Qing Wang

Reviewed the various constitutive mode of concrete faced rock-fill dam. Basis on the complex physical characteristic of filled the material and the framework of dam, a method of computer is given, introduced into the program of the concrete face rock-fill dam calculation with FORTRAN language on the ANSYS software. It is used to simulate two and three-dimensional nonlinear computation and compute figure simulation in the construction procedure and operation period for the concrete face rock fill dam, the result was intuitionist clarity.



2013 ◽  
Vol 438-439 ◽  
pp. 629-633
Author(s):  
Ling Lu ◽  
Qiu Rong Han ◽  
Xin Li

According to the application of the concrete face rock-fill dam (CFRD) constructed with soft rock, the physic-mechanical properties of soft rock and the key technologies of utilizing soft rock to construct CFRD are analyzed. On this basis, the feasibility of soft rock as rock-fill of 200m level high CFRD is put forward. The calculation and analysis of specific projects show that the 200m level high CFRD with soft rock is technically established through rational design.



2019 ◽  
Vol 21 (4) ◽  
pp. 1116-1126 ◽  
Author(s):  
Ya-lin Zhu ◽  
Xue-feng Peng ◽  
Kun Tan ◽  
Chi Ma


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