Statistical inverse analysis based on genetic algorithm and principal component analysis: Method and developments using synthetic data

International Journal for Numerical and Analytical Methods in Geomechanics

Volumn 33, Issue 12, 2009, Pages 1485-1511

  Levasseur, S ^a   Malecot, Y ^a   Boulon, M ^a   Flavigny, E ^a  

^a LABORATOIRE SOLS SOLIDES STRUCTURES   (France)

Author keywords

Finite element method; Genetic algorithm; Geotechnics; Inverse analysis; Optimization; Principal component analysis; Soil parameters identification; Synthetic data

Indexed keywords

EXPERIMENTAL APPLICATION; FIRST-ORDER APPROXIMATIONS; GENETIC-ALGORITHM OPTIMIZATIONS; GEOTECHNICAL MEASUREMENT; GEOTECHNICS; INVERSE ANALYSIS; NONUNIQUENESS; OPTIMAL VALUES; POPULATION SIZES; PRESSUREMETER TESTS; SOIL CONSTITUTIVE MODEL; SOIL PARAMETERS; SOLUTION SET; SYNTHETIC DATA;

FINITE ELEMENT METHOD; GENETIC ALGORITHMS; GEOLOGIC MODELS; IDENTIFICATION (CONTROL SYSTEMS); INVERSE PROBLEMS; OPTIMIZATION; POPULATION STATISTICS; SOILS; UNCERTAINTY ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS;

CONSTITUTIVE EQUATION; EXPERIMENTAL STUDY; FINITE ELEMENT METHOD; GENETIC ALGORITHM; IDENTIFICATION METHOD; INVERSE ANALYSIS; OPTIMIZATION; PARAMETERIZATION; PRESSUREMETER; PRINCIPAL COMPONENT ANALYSIS; RELIABILITY ANALYSIS; SOIL ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 74549139648     PISSN: 03639061     EISSN: 10969853     Source Type: Journal    
DOI: 10.1002/nag.776     Document Type: Article

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