Prediction of strain energy-based liquefaction resistance of sand-silt mixtures: An evolutionary approach

Computers and Geosciences

Volumn 37, Issue 11, 2011, Pages 1883-1893

  Baziar, Mohammad H ^a   Jafarian, Yaser ^b   Shahnazari, Habib ^a   Movahed, Vahid ^a   Amin Tutunchian, Mohammad ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b SEMNAN UNIVERSITY   (Iran)

Author keywords

Capacity energy; Genetic programming; Liquefaction; Sand; Silt; Wildlife

Indexed keywords

CAPACITY ENERGY; CENTRIFUGE MODEL TEST; CYCLIC TESTS; DOWNHOLES; EARTHQUAKE EXCITATION; EVOLUTIONARY APPROACH; EXPERIMENTAL OBSERVATION; FIELD CONDITIONS; FINES CONTENT; GROUND FAILURE; INPUT VARIABLES; LIQUEFACTION POTENTIALS; LIQUEFACTION RESISTANCE; MEAN-GRAIN SIZE; NONPLASTIC; OVERBURDEN PRESSURES; PARAMETRIC STUDY; PREDICTIVE MODELS; RELATIVE DENSITY; SATURATED SOIL DEPOSITS; STRAIN ENERGY DENSITY; VALIDATION DATA; WILDLIFE;

CENTRIFUGATION; GENETIC PROGRAMMING; MIXTURES; SAND; SILT; STRAIN ENERGY;

SOIL LIQUEFACTION;

CYCLIC LOADING; DATABASE; DYNAMIC ANALYSIS; DYNAMIC RESPONSE; EXPERIMENTAL STUDY; FAILURE ANALYSIS; GENETIC ALGORITHM; GROUND CONDITIONS; LABORATORY METHOD; LIQUEFACTION; MODEL VALIDATION; NUMERICAL MODEL; OVERBURDEN; PREDICTION; SAND; SILT; SOIL MECHANICS; STRAIN RATE; TRIGGER MECHANISM;

EID: 80054890052     PISSN: 00983004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cageo.2011.04.008     Document Type: Article

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