Modelling damping ratio and shear modulus of sand-mica mixtures using neural networks

Engineering Geology

Volumn 104, Issue 1-2, 2009, Pages 31-40

  Cabalar, Ali Firat ^a   Cevik, Abdulkadir ^a  

^a GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

Leighton Buzzard Sand; Mica; Neural networks; Resonant column testing

Indexed keywords

DAMPING; ELASTIC MODULI; FUNCTIONS; MICA; MIXTURES; SAND; SHEAR STRAIN; SILICATE MINERALS;

COLUMN TESTING; DAMPING RATIOS; DYNAMIC PROPERTIES; EFFECTIVE STRESS; EXPERIMENTAL DATABASE; GEO-MATERIALS; INPUT VARIABLES; LABORATORY STUDIES; LEIGHTON BUZZARD SAND; MATHEMATICAL FUNCTIONS; NEURAL-NETWORK; RESONANT COLUMN TESTING; SHEAR MODULUS; STRAIN RANGES;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COLUMN; DAMPING; EFFECTIVE STRESS; EXPERIMENTAL STUDY; MICA; MODELING; SAND; SHEAR MODULUS; STRAIN;

EID: 59149092740     PISSN: 00137952     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enggeo.2008.08.005     Document Type: Article

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