Structural Damage Detection of Unsaturated Soil Embankment Slope Based on Artificial Neural Network under the Rainfall Infiltration

Yu Jie Wang; Wen Jing Si; Ying Fu Gao; Hui Zhou

doi:10.4028/www.scientific.net/AMR.594-597.391

Paper Titles

Study on the Prediction Method for Brittle Failure of Hard Rock Based on Acoustic Emission Test
p.376

Study about the Relationship between the Local Precipitation and Landslide in Zhejiang Province in Recent Years
p.380

Analysis on Stability of Powerhouse Slope under the Operation Water Level Condition of Tianhuaban Hydropower Station
p.383

The Saturated - Unsaturated Seepage Analysis of Hualianshu Landslide on the Condition of Rainfall
p.387

Structural Damage Detection of Unsaturated Soil Embankment Slope Based on Artificial Neural Network under the Rainfall Infiltration
p.391

Moisture Migration Mechanism in Granite Residual Soil Embankment under the Combined Action of Rainfall and Capillary
p.395

Rapid Improvement Technique of Shallow Base in Super-Soft Foundation
p.401

Analysis of Dynamic Response of Landslide Stability to Reservoir Water Level Fluctuation Using Numerical Simulation
p.407

Study on Stability of Dayantang Landslide under the Engineering Disturbance and Rainfall
p.415

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 594-597Structural Damage Detection of Unsaturated Soil...

Structural Damage Detection of Unsaturated Soil Embankment Slope Based on Artificial Neural Network under the Rainfall Infiltration

Abstract:

Based on BP neural network, simulation analysis of damage location and degree of unsaturated soil embankment slope under rainfall infiltration are made using finite element method. The simulation model is established by rainfall infiltration statistical characteristics as the main input vector. The results show that the artificial neural network can accurately identify the damage location and the damage degree of the slope.