This paper investigates the potential application of artificial neural networks in permanent deformation parameter identification for rockfill dams. Two kinds of neural network models, multilayer feedforward network BP and radial basis function RBF networks, are adopted to identify the parameters of seismic permanent deformation for Zipingpu Dam in China. The dynamic analysis is carried out by ...

Arch dams are designed for the same loads as other dams with the exception of the temperature load, which has a significant influence in arch dam design as compared to gravity dam design. In concrete arch dams, because of the particular geometry, solar radiation shares of exposed surfaces vary spatially through downstream face. In this case, threedimensional temperature distribution analysis is...

Models of real systems are of fundamental importance in virtually all disciplines. Models make possible to predict or simulate a system’s behavior. Since the quality of the model typically determines an upper bound on the quality of the final problem solution, modeling is often the bottleneck in the development of the whole system. As a consequence, a strong demand for advanced modeling and ide...

The rockfill structures are widely constructed throughout the world and rockfills are largely used in these structures as main materials or filler materials. In the crust of earth dams, the rockfill materials role is to stabilize the body of the dam, however, the behavior of these materials in Particular their shear strength is not fully understood. In order to investigate the possible effects ...

This study numerically predicts the failure scenario of a cracked concrete gravity dam through a push-over nonlinear analysis. The mixed-mode Linear Elastic Fracture Mechanics (LEFM) was employed using the extended finite element method (XFEM). The dam base was considered to be fully fixed without any foundation effects. The hydrostatic pressure on the dam's upstream face was increased incremen...

The parameters of the constitutive model, the creep model, and the wetting model of materials of the Nuozhadu high earth-rockfill dam were back-analyzed together based on field monitoring displacement data by employing an intelligent back-analysis method. In this method, an artificial neural network is used as a substitute for time-consuming finite element analysis, and an evolutionary algorith...

To address the uncertainty problem in assessment of overall safety trend dams and selection warning indicators, an Extended Cloud Model (ECM) combined with Analytic Hierarchy Process (EAHP) method is proposed this study. In new approach, different factors reflecting dam monitoring have been considered as a fuzzy system. Considering characteristics forward cloud model backward model, original da...