Rock-fill Dam Construction Quality Evaluation Based on Combination Model

Rock-fill dam compaction quality depends on compaction parameters and material parameters.Although it is difficult to gain material sources parameters at any dam surface location, the real-time quality monitoring technology of rock-fill dam construction provides for gaining compaction parameters of any surface location.Based on test pit data and real-time data, establish the combination model connecting adaptive network-based fuzzy inference system and improved back propagation neural network, and realize the nonlinear mapping relationship between compaction parameters and construction quality.-Thepredicting accuracy of the combination model is higher than single adaptive network-based fuzzy inference system or improved back propagation neural network through model testing.Finally combination model is applied to forecast some dam surface dry density.