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Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
  • Indexed by
  • Korea Citation Index (KCI)
Title Assessment of Shear Strength Parameter for Weathered Soils Using Artificial Neural Network
Authors 이무철 ; 이송
Page pp.147-154
ISSN 1226-6205
Keywords Artificial neural networks ; Nc ; Shear strength paramenters ; Weathered granite soils ; 인공신경망 ; 관입타격횟수 ; 전단강도정수 ; 풍화토
Abstract Weathered soil slope loses its shear strength if it is exposed in the air for a long time or in contact with water. And this kind of strength loss is remarkable in dam slope which has very big difference in water level according to the season. In this study, shear strength loss of weathered soil due to saturation had been found out through dryness and wetness repetition direct shear test. Also relation between penetration blow number(Nc) and shear strength parameter had been found out through small sized dynamic cone penetration test device and the correlation equation of Nc had been proposed through artificial neural network analysis to estimate shear strength parameter easily.