A neural network model for the uplift capacity of suction caissons

Computers and Geotechnics

Volumn 28, Issue 4, 2001, Pages 269-287

  Rahman, M S ^a   Wang, J ^a   Deng, W ^b   Carter, J P ^b  

^a North Carolina State University   (United States)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Aspect ratio; Cohesive soils; Finite element; Models; Neural network; Shear strength; Suction caissons; Uplift capacity

Indexed keywords

BACKPROPAGATION; COMPUTER SIMULATION; FINITE ELEMENT METHOD; NEURAL NETWORKS; OFFSHORE STRUCTURES; RELIABILITY; STRUCTURAL ANALYSIS; UPLIFT PRESSURE;

SUCTION CAISSONS; UPLIFT CAPACITY;

CAISSONS;

CAISSON; FOUNDATION; OFFSHORE PLATFORM; UPLIFT FORCE;

ARTIFICIAL NEURAL NETWORK; CAISSON; OFFSHORE STRUCTURE; UPLIFT;

EID: 0035035711     PISSN: 0266352X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0266-352X(00)00033-1     Document Type: Article

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