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http://dx.doi.org/10.5762/KAIS.2015.16.3.2234

Correlation Analysis between Soil Shear Strength Parameters and Cone Index Using Artificial Neural Networks - 1  

Moon, In-Jong (Department of Civil and Environmental Engineering, Myongji University)
Kim, Young-Uk (Department of Civil and Environmental Engineering, Myongji University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.16, no.3, 2015 , pp. 2234-2241 More about this Journal
Abstract
This study has been undertaken to develop a relationship between the shear strength coefficients and the cone index. The theoretic mathematical equations for the relationship were rigorously investigated, and then a Artificial Neural Network(ANN) analysis was adapted to enhance the reliability of the investigation. The theoretical investigation involved various assumptions resulting in the significant error involvement of geotechnical behaviors of ground. Therefore, a model using the ANN has been learned to enhance the prediction of the cone index form the shear strength parameters. Site investigation reports from various construction fields were used for ANN model learning. The results of the study show that the model predicts the cone index from the shear strength parameters of soils very well. The further study that is undertaking has a potential promise of the generalized prediction technique for the cone index from the soil parameters.
Keywords
Shear strength; Cone index; Artificial Neural Network; Geotechnical behaviors;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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