In this study, the crest settlement behavior of CFRDs is analyzed based on compiled data of 24 CFRDs constructed during recent years around the world, along with the utilization of gene expression programming (GEP) and adaptive neuro-fuzzy inference system (ANFIS) methods. Due to dam zonification and uncertainties in material properties, these methods appear to be the appropriate choice. The goal is to advance the development of intelligent methods to estimate the subsidence of dams at the design stage. Although there is vast experience worldwide in CFRD design and construction, few accurate experimental relationships are available to predict the settlement in CFRD. Following completion of dam construction, considerable movements of the crest and the body of the dam can develop during the first impoundment of the reservoir. ![]() ![]() This paper deals with the estimation of crest settlement in a concrete face rockfill dam (CFRD), utilizing intelligent methods.
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