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Y. S. Kim and B. T. Kim, “Prediction of Relative Crest Settlement of Concrete-Faced Rockfill Dams Analyzed Using an Artificial Neural Network Model,” Computers and Geotechnics, Vol. 35, No. 1, 2008, pp. 313-322.doi:10.1016/j.compgeo.2007.09.006

has been cited by the following article:

• TITLE: Prediction of Concrete Faced Rock Fill Dams Settlements Using Genetic Programming Algorithm

  AUTHORS: Seyed Morteza Marandi, Seyed Mahmood VaeziNejad, Elyas Khavari

  KEYWORDS: Concrete Faced Rock-Fill Dams; Settlement; Genetic Programming Algorithm; Finite Element Model

  JOURNAL NAME: International Journal of Geosciences, Vol.3 No.3, July 20, 2012

  ABSTRACT: In the present study a Genetic Programing model (GP) proposed for the prediction of relative crest settlement of concrete faced rock fill dams. To this end information of 30 large dams constructed in seven countries across the world is gathered with their reported settlements. The results showed that the GP model is able to estimate the dam settlement properly based on four properties, void ratio of dam’s body (e), height (H), vertical deformation modulus (Ev) and shape factor (Sc) of the dam. For verification of the model applicability, obtained results compared with other research methods such as Clements’s formula and the finite element model. The comparison showed that in all cases the GP model led to be more accurate than those of performed in literature. Also a proper compatibility between the GP model and the finite element model was perceived.