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Probabilistic and possibilistic methods for the elastoplastic analysis of soils
The finite element method is extensively used for solving various problems in engineering practice. The input requires properties, which are generally imprecise. An elastoplastic analysis (Drucker-Prager yield criterion) is performed, and the properties are considered as uncertain parameters (elastic modulus, Poisson's ratio, cohesion and angle of internal friction). Two different methodologies are studied and compared: classical probabilistic approach in which the properties are treated as random variables, i.e., stochastic finite element methods using Monte Carlo simulation; and possibilistic approach, by a model based on fuzzy set theory. Some results are presented to point out the main characteristics of the two methodologies.
Probabilistic and possibilistic methods for the elastoplastic analysis of soils
The finite element method is extensively used for solving various problems in engineering practice. The input requires properties, which are generally imprecise. An elastoplastic analysis (Drucker-Prager yield criterion) is performed, and the properties are considered as uncertain parameters (elastic modulus, Poisson's ratio, cohesion and angle of internal friction). Two different methodologies are studied and compared: classical probabilistic approach in which the properties are treated as random variables, i.e., stochastic finite element methods using Monte Carlo simulation; and possibilistic approach, by a model based on fuzzy set theory. Some results are presented to point out the main characteristics of the two methodologies.
Probabilistic and possibilistic methods for the elastoplastic analysis of soils
Lima, B.S.I.P. de (Autor:in) / Teixeira, E.C. (Autor:in) / Ebecken, N.F.F. (Autor:in)
Advances in Engineering Software ; 32 ; 569-585
2001
17 Seiten, 21 Quellen
Aufsatz (Zeitschrift)
Englisch
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