Prediction of shear development in clean sands by use of particle shape information and artificial neural networks

Expert Systems with Applications

Volumn 38, Issue 5, 2011, Pages 5603-5613

  Sezer, Alper ^a  

^a EGE UNIVERSITY   (Turkey)

Author keywords

Artificial neural networks; Clean sands; Particle shape; Stress strain simulation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CLEAN SAND; CLEAN SANDS; EXPERIMENTAL VALUES; GRAIN SIZE DISTRIBUTION; GRANULAR SOILS; HIDDEN LAYERS; INTERNAL FRICTION ANGLE; LEVENBERG-MARQUARDT LEARNING ALGORITHMS; OUTPUT PARAMETERS; PARTICLE SHAPE; SHEAR BOX TESTS; STRENGTH CHARACTERISTICS; STRESS-STRAIN RELATIONSHIPS; STRESS-STRAIN SIMULATION;

COMPUTER SIMULATION; GRAIN SIZE AND SHAPE; LEARNING ALGORITHMS; PARTICLES (PARTICULATE MATTER); SAND; SHEAR STRENGTH; SIZE DISTRIBUTION; SOILS; STRESS-STRAIN CURVES;

NEURAL NETWORKS;

EID: 79151485415     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.10.075     Document Type: Article

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