The Prediction Model Study of the Hydraulic Fill Elevation in Reclamation Project

Xiao Qiang Liu; Wen Bin Pei; Yu Ting Zhang; Yan Hua Yang

doi:10.4028/www.scientific.net/AMR.599.807

Paper Titles

Laboratory Measurement and Numerical Simulation of Evaporation Fluxes from a Thin Clay Layer
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Research on Numerical Stimulation of Water Resources of Bang River by Finite Volume Method
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Floodwater Utilization Integrated Risk Evaluation Model Based on D-S Evidential Theory
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Sandy Soil Consolidation and Water-Saving Process Design in the North China Plain
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The Prediction Model Study of the Hydraulic Fill Elevation in Reclamation Project
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Study on Mechanical Property of Structural Damaged Expansive Soil with CT-Triaxial Shear Test
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Differences of Shear Strength between Undisturbed and Remolded Soils of Lands for Agriculture and Forestry in Menglianggu Watershed of Linyi City
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Effect of Water Table Rise on Migration and Transformation Law of Nitrate under the Condition of Rainfall in Saturated - Unsaturated Soil Layer
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Influence to Three Gorges Reservior for Implementation of Soil and Water Conservation Project in Jialing River
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 599The Prediction Model Study of the Hydraulic Fill...

The Prediction Model Study of the Hydraulic Fill Elevation in Reclamation Project

Abstract:

The determination of the hydraulic fill elevation is one of the urgent problems in reclamation project. The determination of the hydraulic fill elevation is of extreme importance to the final design elevation in reclamation project. If the hydraulic fill elevation is over high, might waste the hydraulic fill resources, and soil strength would decreased greatly when reduce the topsoil to reach design elevation. If the hydraulic fill elevation is over low, twice-fill is needed leading to great increased coast. In the paper, observational settlement prediction system of dredger fill had been established by research of BP artificial neural network. Finally, the hydraulic fill elevation of reclamation project was suggested reasonably by the observational settlement prediction system.

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Periodical:

Advanced Materials Research (Volume 599)

Pages:

807-810

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.599.807

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Online since:

November 2012

Authors:

Xiao Qiang Liu, Wen Bin Pei, Yu Ting Zhang, Yan Hua Yang

Keywords:

Artificial Neural Network (ANN), Hydraulic Fill Elevation, Reclamation Project, Settlement Prediction

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