Back Analysis of the Permeability Coefficient of a High Core Rockfill Dam Based on a RBF Neural Network Optimized Using the PSO Algorithm
Joint Authors
Chi, Shichun
Ni, Shasha
Liu, Zhenping
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-17
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
It is important to determine the seepage field parameters of a high core rockfill dam using the seepage data obtained during operation.
For the Nuozhadu high core rockfill dam, a back analysis model is proposed using the radial basis function neural network optimized using a particle swarm optimization algorithm (PSO-RBFNN) and the technology of finite element analysis for solving the saturated-unsaturated seepage field.
The recorded osmotic pressure curves of osmometers, which are distributed in the maximum cross section, are applied to this back analysis.
The permeability coefficients of the dam materials are retrieved using the measured seepage pressure values while the steady state seepage condition exists; that is, the water lever remains unchanged.
Meanwhile, the parameters are tested using the unstable saturated-unsaturated seepage field while the water level rises.
The results show that the permeability coefficients are reasonable and can be used to study the real behavior of a seepage field of a high core rockfill dam during its operation period.
American Psychological Association (APA)
Chi, Shichun& Ni, Shasha& Liu, Zhenping. 2015. Back Analysis of the Permeability Coefficient of a High Core Rockfill Dam Based on a RBF Neural Network Optimized Using the PSO Algorithm. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1072936
Modern Language Association (MLA)
Chi, Shichun…[et al.]. Back Analysis of the Permeability Coefficient of a High Core Rockfill Dam Based on a RBF Neural Network Optimized Using the PSO Algorithm. Mathematical Problems in Engineering No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1072936
American Medical Association (AMA)
Chi, Shichun& Ni, Shasha& Liu, Zhenping. Back Analysis of the Permeability Coefficient of a High Core Rockfill Dam Based on a RBF Neural Network Optimized Using the PSO Algorithm. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1072936
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072936